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AI Tools in Focus: The Latest Developments from Claude to Codex

Wednesday, May 20, 2026

Hello, this weekly newsletter guides you through the most important new videos from a curated selection of AI and Coding YouTube channels. One compact summary per video, plus a daily overview of the dominant topics. If interested, simply click the link under the summary.

AI with Arnie (5 new videos)

• Codex: ChatGPT with Hands
  17.5.2026, 19:08:45

  The video introduces Codex, a local AI application that works similarly to ChatGPT but with enhanced capabilities. Codex can be installed on your own computer and provides access to local files, tools, browser, and repeatable workflows. Codex’s seven core capabilities include accessing projects and folders, reading, writing, and organizing files, persistent memories, plugins for integration with various services like Gmail, Slack, and Notion, creating skills for repeatable tasks, image generation with the world’s best image model, controlling the entire system, and creating automations. The video demonstrates practical examples of how Codex analyzes invoices, generates images, creates presentations, and builds websites. It also explains how to install Codex, create projects, and use skills. Additionally, the video demonstrates integration with local models and how Codex can control your computer. The video targets intermediate users and focuses specifically on Codex, a local AI tool.

• Codex: ChatGPT with Hands
  17.5.2026, 19:08:45

  **Summary:**

  The video introduces two personal agents, Hermes and OpenCla, and demonstrates their use cases and differences from classical agents like Cloud Code and Codex. Various use cases are demonstrated, including stock market research, managing training and nutrition, video editing, AI news summaries, real-time monitoring, accessing MCD servers, creating YouTube thumbnails, and managing an entire server. The installation and configuration of Hermes on a virtual private server (VPS) is explained in detail, including connecting with GitHub and using Superbase for database applications. The video emphasizes Hermes’s self-improvement capabilities and the benefits of OpenCla for tasks requiring continuous monitoring. It also shows the integration of multiagents and superagents, as well as the ability to solve complex tasks with the `/goal` command. At the end, a comparison is drawn between Hermes and OpenCla, highlighting their respective strengths and use cases.

  **Closing Remark:**
  The video specifically addresses the AI tools Hermes and OpenCla and is intended more for intermediate and advanced users.

• Claude Code is No Longer Enough
  15.5.2026, 13:06:39

  The video presents the announcement of Subq (Subquadrantic), a new AI model with a context window of 12 million tokens, which represents a significant advancement over existing models like ChatGPT (1 million tokens). Subq uses a subquadratic sparse attention architecture that enables it to scale linearly rather than quadratically, resulting in significantly higher efficiency and lower costs. The model is said to be 52 times faster and cost only 5% of competing models like Opus. The announcement was published on X (formerly Twitter) by Alexander and includes APIs for Subq Code and Subq Search.

  The advantages of Subq lie in the ability to maintain large codebases or extensive documentation fully in context, which could make current workarounds like RAG (Retrieval-Augmented Generation) or agent workflows obsolete. The sparse attention architecture allows it to consider only relevant tokens, significantly boosting computational power and speed. However, there are no detailed technical papers yet, and the available benchmarks are limited and sometimes disputed.

  Subq’s potential is enormous, as it could revolutionize how we work with AI in areas such as coding, law, research, and audits. However, the question remains whether the model can deliver the promised quality and reliability with large context windows. Available benchmarks show promising results, but further testing and confirmation are needed.

  The video specifically addresses the new Subq model and is intended more for intermediate or advanced users who engage with the technical details and implications of AI models.

• Is This AI Breakthrough Real?
  7.5.2026, 15:15:00

  The video tests and compares OpenAI’s new models, particularly GPT 5.5 and the image model GPT Image 2.0, as well as competition from Deeps version 4. The test covers various applications including creating a website, simulating a beehive, a 3D motorcycle racing game, an interactive factory and production simulation, traffic simulation, creating ComfyUI and N8N workflows, and analyzing financial data. The benchmarks show that GPT 5.5 demonstrates significant improvements over previous versions in many areas, particularly in Terminal Benchmark and Vending Benchmark. The video also discusses current issues at Anthropic, particularly rate limits, performance problems, and model unreliability, as well as the pros and cons of OpenAI and Anthropic plans. It’s recommended not to rely on a single provider and to use both models to balance different strengths and weaknesses.

  The video specifically addresses OpenAI (GPT 5.5, GPT Image 2.0, Codex), Anthropic (Cloud Code), and Deeps version 4. It’s intended more for intermediate and advanced users as it includes detailed tests and technical analysis.

• GPT 5.5 is a Machine
  25.4.2026, 14:03:17

  The video compares the AI agents Hermes and OpenCla, with a focus on Hermes. Hermes is an open-source project by New Research, distinguished by its ability to grow with the user and improve itself. In contrast, OpenCla is an orchestrator that executes tasks and is configuration-oriented. Hermes runs with Python and has persistent memory, while OpenCla runs in TypeScript and uses session-based memory.

  The Hermes installation process is explained in detail, including the ability to install it on various platforms like Linux, macOS, WSL2, and even Android. Users can install Hermes on a virtual private server (VPS), which has the advantage of keeping the agent always accessible. Hostinger is mentioned as an easy provider for installing Hermes.

  After installation, the video shows how to connect Hermes with Telegram and how to use various skills and tools. Hermes can automate tasks, such as monitoring YouTube channels and creating summaries of videos. The agent can also independently create and improve skills without user intervention.

  Another focus of the video is migrating from OpenCla to Hermes. It’s recommended to perform the migration gradually and manually, as the memory and skill structures of the two agents differ.

  The video concludes with a discussion of when to use which agent. OpenCla is well-suited for executing many individual tasks, while Hermes is ideal for tasks that need to improve and adapt over time, such as trading bots or social media managers.

  **AI Tools/Models/Providers:** Hermes Agent, OpenCla, OpenAI, Anthropic, OpenRouter, Hostinger
  **Target Audience:** Intermediate

Cole Medin (10 new videos)

• Pushing My AI Dark Factory to Its Limits with Opus + Kimi Combined
  19.5.2026, 03:35:08

  The video shows a live stream where the creator works on a project called “Dark Factory,” a self-evolving codebase that operates without human intervention. The process involves submitting issues for new features or bug fixes, which are then automatically prioritized and processed by Archon Workflows. These workflows execute the full implementation, validate the changes, and create a pull request that is reviewed by another agent and finally merged, resulting in automatic deployment to production.

  The focus of the stream is on adjusting the workflows to use a mix of Opus (a powerful model from Anthropic) and Kimi K 2.6 (a more cost-effective model). This is done to optimize costs and token usage, as Anthropic’s rate limits have been problematic recently. The creator explains that he wants to use Opus primarily for planning and Kimi K 2.6 for implementation and validation to reduce costs and increase efficiency.

  During the stream, the process of adapting the workflows is described in detail, including setting up authentication for both models and verifying that the workflows function correctly. The creator also shows how to set up and test the workflows on a VPS (Virtual Private Server) to ensure everything runs smoothly.

  At the end of the stream, a GitHub issue is created and the process is started to ensure that the workflows work correctly with the mixed models. The creator emphasizes the importance of token efficiency and cost optimization, especially when using AI models for code development.

  **Closing comment:** The video explicitly addresses AI models Opus (Anthropic) and Kimi K 2.6 (Kimi Code), as well as the use of open-source models like Miniax M2.7. It is geared toward intermediate to advanced users who are familiar with AI code development and workflow optimization.

• Pushing My AI Dark Factory to Its Limits with Opus + Kimi Combined
  19.5.2026, 03:35:08

  The video shows a detailed exploration and demonstration of the Pi coding agent. The focus is on introducing Pi as a minimal, customizable coding agent that can be tailored to the user’s individual workflows. The user integrates Pi with Archon, an open-source tool for creating harnesses, and shows how Pi can be used with various models like Kimi, Miniax, and Opus.

  Key steps and insights from the video include:

  1. **Setting up Pi with Kimi**: The user demonstrates how to configure Pi to work with a Kimi Code subscription instead of Codeex. The steps for API key setup and integration into Pi’s configuration are explained in detail.

  2. **Installation and use of extensions**: The user installs and tests various extensions from the Pi marketplace, including an extension for subagents, a web access extension, and an extension for managing Archon Workflows. These extensions enable additional features such as desktop notifications, status bars, and integration of Archon Workflows.

  3. **Creating a custom extension**: The user creates a custom extension called “Archon Dispatch” that transforms Pi into a control panel for Archon background tasks. This extension enables the execution of Archon Workflows, displays live status information, and sends notifications upon workflow completion.

  4. **Issues and solutions**: During the demonstration, some problems arise, particularly with the integration of Archon Workflows and displaying workflow results in Pi. The user attempts to solve these issues with Kimi but encounters limitations in model capabilities. He discusses the benefits of combining stronger models like Opus with cheaper models like Kimi to achieve the best results.

  5. **Comparison with other tools**: The user compares Pi with other coding agents like Codeex and Claude Code and highlights Pi’s advantages, particularly its customizability and speed.

  6. **Future plans**: The user plans to continue working on Pi and Archon integration in future live streams and videos, and may develop an Archon Workflow for creating Pi extensions.

  The video explicitly addresses AI tools and models Claude, Codeex, Kimi, Miniax, Opus, and Open Router. It is geared toward intermediate and advanced users interested in customizing and integrating coding agents.

• Pi is INCREDIBLE – Building a Custom Coding Agent Live
  17.5.2026, 03:42:53

  **Summary:**

  In this stream, a new workflow marketplace for Archon was presented and two community workflows were added. The first workflow, “Idea to Work Order,” helps convert ideas into detailed work orders for development. The second workflow, “Archon SmartMR Review,” is a GitLab equivalent to the pull request review workflow.

  The workflow integration process was demonstrated live, including creating a pull request, automatic review through a GitHub Action, and subsequent release. Some technical challenges and improvements were also discussed, such as updating the Archon CLI and notifying about available updates.

  **Closing comment:**

  The video addresses the use of Claude (OpenAI) and specific tools like Archon. It is geared toward intermediate and advanced users.

• 🔴 The AI Coding Marketplace is Finally LIVE!
  15.5.2026, 03:17:26

  The video shows how to create fully animated videos with audio using AI. The process uses multiple technologies, including HyperFrames for rendering, Claude Code for control, 11Labs or Kokoro for voice generation, and Archon as the workflow manager. The creator provides an open-source repository that enables users to create their own AI-generated video in less than 10 minutes. The workflow includes scripting, audio creation, rendering visuals, and synchronizing all elements. The creator emphasizes that while the technology is not yet perfect, it is progressing rapidly and already has useful applications, particularly for explainer videos. The process is explained in detail, including the ability to customize templates and create custom templates. Examples of generated videos are shown at the end.

  The video explicitly addresses HyperFrames, Claude Code, 11Labs, Kokoro, and Archon and is geared toward intermediate users.

• Make the PERFECT Videos with Claude Code (Full Workflow)
  14.5.2026, 00:00:24

  **Summary:**

  In this live stream, development of a workflow marketplace for Archon, an open-source harness builder for AI coding, continued. The focus was on creating a marketplace where users can share their own workflows and utilize workflows from others. The process included creating an Archon Workflow that automatically reviews and approves pull requests for new workflows. The stream began with merging an existing pull request that introduced the marketplace UI and continued with creating a new workflow to review pull requests.

  The process involved multiple steps, including creating a plan, implementing the plan, and reviewing the generated code. Various questions and adjustments were discussed to ensure the workflow functions correctly. The stream ended with creating a pull request for a test workflow and demonstrating how the automatic review process works.

  **Closing comment:**
  The video explicitly addresses the use of Claude (Claude Code) and is geared toward intermediate to advanced users.

• Building the App Store for Agentic Engineering
  12.5.2026, 04:02:35

  **Video Summary:**

  The video shows a live demo of Archon, an AI tool developed as an open-source harness builder for AI coding. The streamer presents his current AI coding workflow and how Archon accelerates this process 10-fold. He demonstrates the use of Archon for various tasks, including handling GitHub issues (brownfield development) and creating new features (greenfield development).

  1. **Brownfield Development:**
  – The streamer shows how he uses Archon to handle multiple GitHub issues in parallel. Workflows are used that include planning, implementation, and validation.
  – Workflows are designed to create comprehensive pull requests that can then be manually reviewed.
  – It is demonstrated how Archon is integrated with a “Second Brain” (a system for organizing knowledge and tasks) to optimize the workflow.

  2. **Greenfield Development:**
  – The streamer plans and implements a new feature for Archon: a workflow marketplace that enables users to create and share their own workflows.
  – The PIV-Loop (Plan, Implement, Validate) is used, a structured approach to AI-assisted development that includes planning, implementation, and validation.
  – It is shown how Archon Workflows can be used for complex tasks such as creating a new marketplace feature.

  3. **Technical Details:**
  – Archon enables the creation of workflows that can integrate various AI models and tools, including Claude, Codex, and others.
  – Workflows are designed to be deterministic and repeatable, which increases reliability and efficiency.
  – The streamer emphasizes the importance of human-in-the-loop processes to ensure result quality.

  4. **Integration and Extensions:**
  – It is shown how Archon can be integrated with other tools like Beads (a memory system).
  – The streamer discusses Archon’s advantages compared to other tools like N8N and emphasizes Archon’s specialization in AI coding.

  5. **Community and Further Development:**
  – The streamer mentions the Dynamis community, where he regularly offers workshops and courses to help users effectively use Archon and other AI tools.
  – He announces that he will continue to conduct live streams to demonstrate the development and use of Archon.

  **Closing comment:**
  The video explicitly addresses the Archon tool and is geared toward intermediate to advanced users interested in AI coding and workflow automation.

• 🔴LIVE – My AI Coding Workflow has 10x'd Again with Archon – See it in Action
  10.5.2026, 05:56:02

  The YouTuber expresses dissatisfaction with the current YouTube landscape, which is heavily focused on reporting about Claude and its latest features. He wants to differentiate himself from the crowd and instead provide deeper, more technical content focused on actually building and AI coding principles. To do this, he plans to conduct live streams three times per week (Monday, Thursday, Saturday) in which he presents projects like Archon and the Dark Factory experiment and works interactively with the community. He emphasizes that he will continue to cover relevant AI news but with a focus on practical application and long-term value. The content is intended for intermediate and advanced users interested in AI coding and systems. The YouTuber explicitly addresses Claude and Claude Code.

• AI YouTube Is Only Claude Hype Now
  7.5.2026, 00:01:02

  **Summary:**

  In the video, the creation of a roadmap for the open-source project Archon, a harness builder for AI coding, is presented live. The host begins with an introduction to Archon, which enables packaging AI coding processes into workflows and running them in parallel across various codebases. Workflows are defined in YAML and can include both agent-based and script-based actions.

  A central topic is the idea of a marketplace for Archon Workflows that would allow users to share and install their own workflows. The host discusses various approaches to implementing this marketplace, including whether workflows should be hosted in separate repositories or integrated directly into the Archon repository. Pros and cons of both approaches are discussed, with security and user-friendliness being the focus.

  During the video, the current roadmap of Archon is created and updated, with various features and improvements added, such as support for the PI coding agent and optimization of the setup process. The host uses Cloud Code and other tools to visualize and refine the roadmap.

  **Closing comment:**

  The video explicitly addresses open-source tools and models, particularly Claude and Cloud Code, and is geared toward intermediate to advanced users.

• 🔴LIVE – What's Next for Archon – Live Roadmap Session
  5.5.2026, 03:58:13

  **Video Summary:**

  The video shows the creation of AI-generated videos with Archon, an open-source harness builder. The process involves using Archon for the workflow, 11 Labs for voice generation, and Remotion for video generation. The creator demonstrates the creation of a video about the new TI-84 EVO calculator and then explains the steps for creating a marketing video for Archon itself.

  **Steps and Tools:**
  1. **Archon Workflow:**
  – Archon is used to create a workflow that divides video generation into multiple steps.
  – The workflow includes planning the video, generating audio and video, validating, and iterating.

  2. **11 Labs for Voice Generation:**
  – 11 Labs is used to generate the voice output.
  – The creator experiments with various parameters such as speed, stability, similarity, and style exaggeration to achieve the best sound quality.

  3. **Remotion for Video Generation:**
  – Remotion is used to create the visual elements of the video.
  – The creator shows how the workflow plans and generates the various scenes and animations.

  4. **Iteration and Improvement:**
  – The creator demonstrates how to iteratively improve the generated video by providing feedback and adjusting the workflow.
  – It is shown how to improve the voice output and sound effects.

  5. **Archon Workflow Details:**
  – The workflow is defined in a YAML file and includes multiple steps orchestrated by Archon.
  – Each step can use different models and providers, which increases workflow flexibility and reliability.

  **Closing comment:**
  The video explicitly addresses Archon, 11 Labs, Remotion, and open-source models. It is geared toward intermediate and advanced users familiar with AI tools and workflows.

• 🔴LIVE – Full AI Video Generation Workflow Using Claude Code + Remotion + Archon
  3.5.2026, 03:33:47

  The video is a revised version of a live workshop on AI transformation conducted jointly with Leor Weinstein. The focus is on creating a basic system for reliable and repeatable results with AI coding assistance. The process is divided into three phases: ideation with coding agents, building an iterative loop (PIV-Loop), and gradually advancing the coding agents over time.

  1. **Ideation with Coding Agents:**
  – Unstructured conversations with the coding agent to gather ideas and clarify requirements.
  – Use of tools like Claude Code and Jira to manage and organize work.
  – Creation of a Product Requirement Document (PRD) through specific commands and skills that structure the conversation.

  2. **PIV-Loop (Plan, Implement, Validate):**
  – **Planning:** Analyzing the codebase and creating a detailed plan for implementing a Jira ticket.
  – **Implementing:** Delegating coding to the coding agent based on the created plan.
  – **Validating:** Automated validation by the coding agent, followed by manual code review and manual testing.

  3. **System Evolution:**
  – Retrospective analysis after each PIV-Loop to improve systems and processes.
  – Adjustment of rules, commands, and skills to prevent future errors and increase efficiency.

  The workshop emphasizes the importance of maintaining control over the process by handling planning and validation yourself while delegating actual coding to the AI tool. It is shown how to work efficiently with tools like Claude Code and Jira to increase productivity and automate repetitive tasks.

  The video is geared toward intermediate and advanced users, as it assumes viewers already have basic knowledge of software development and project management. Specific tools like Claude Code and Jira are addressed.

Nate Herk | AI Automation (10 New Videos)

• What Karpathy Joining Anthropic Actually Means For Claude
  5/19/2026, 9:36:51 PM

  The video discusses the significance of Andre Karpathy’s arrival at Anthropic and analyzes why this move is of great importance for both Karpathy and Anthropic. Karpathy, a central figure in the modern AI world, has an impressive career behind him, including his role as co-founder of OpenAI and his work at Tesla. His recent projects, such as Eureka Labs and the development of concepts like “Vibe Coding” and “Context Engineering,” demonstrate his ability not only to develop AI but also to teach how to use it effectively.

  Anthropic has made significant progress recently, particularly with Claude Code, which has become a popular tool for developers and enterprises. Karpathy’s arrival could suggest that Anthropic is expanding its strategy further by not only improving AI models but also the applications and integration of these models into real workflows. Karpathy’s focus on “Context Engineering” and creating environments that enable AI models to work more effectively aligns well with Anthropic’s approach.

  The video makes three predictions: First, that Anthropic will develop an app store for contexts and workflows. Second, that there will be more features like “/goal” that enable complex tasks to be handled automatically. Third, that Anthropic will create an education platform to help users package and contribute their own workflows.

  The video explicitly focuses on Claude/Anthropic and is aimed more at Intermediate and Advanced users.

• How to Use Your Claude Code Projects in Codex in 5 Mins
  5/18/2026, 7:09:24 PM

  The video shows how to migrate a project from Claude Code to Codex without duplicating it or losing important information. The main difference between the two tools lies in file names and folder structures: Claude Code uses a `claude.md` file and a `claude` folder, while Codex uses an `agents.md` file and a `codex` folder as well as an `agents` folder for Skills. However, both tools share the same knowledge base such as documents, references, and scripts.

  The author explains that you can instruct Codex with a simple prompt to create the necessary files and folders and adopt the content from the Claude Code files. It’s important to note that changes made in the Claude Code files must also be made in the Codex files to ensure consistency. Additionally, the author points out that Codex Subagents are not called automatically and there are some differences in tools and commands.

  A practical example shows how Claude Code and Codex can work together to create and style an HTML document. The author recommends using both tools and not limiting yourself to a single tool to remain flexible.

  Final comment: The video explicitly focuses on the tools Claude Code and Codex and is aimed more at Intermediate users.

• The AI Career Opportunity Nobody is Talking About in 2026
  5/17/2026, 4:24:10 PM

  The video creator, Nate, discusses an alternative career option in the AI field, apart from the frequently promoted model of founding an AI automation agency. He argues that many companies, particularly large corporations, are increasingly hiring Chief AI Officers (CAIO) or have already hired them, and that this represents a great opportunity for people who don’t want to work in sales. Nate references an IBM study showing that 76% of surveyed CEOs either already have a CAIO or want to hire one, representing a significant increase compared to previous years. He explains that the role of CAIO emerged similarly to the Chief Information Security Officer (CISO) role to address a new, urgent need in companies.

  Nate emphasizes that it’s not just the CAIO role that exists, but that every department in companies is looking for AI-savvy leaders. He presents two paths to get there: Path A, where you start as an AI consultant or in an agency and then get acquired by a company, and Path B, where you internally build AI knowledge in your current job and qualify yourself for a promotion. He argues that Path B could be more accessible to many people since 57% of CAIOs were promoted internally.

  Nate emphasizes the importance of loving what you do, as otherwise you won’t have the necessary endurance and motivation to succeed in this field. He encourages viewers to become the AI-native version of their current role rather than diving into a new field that doesn’t suit them. He concludes by saying that you don’t need to change your role, but the version of your role that you practice.

  The video explicitly focuses on IBM and their studies as well as the role of Chief AI Officer in companies. It’s more suitable for Intermediate and Advanced users as it builds on solid knowledge and experience in the AI field.

• How to Deploy Your Claude Automations (3 Methods)
  5/15/2026, 3:16:02 PM

  The video explains three methods to deploy agents from Anthropic’s Claude Code environment so they run even when the user is not actively present. The methods are compared using a schema that answers the question of where the agent runs (locally or in the cloud) and how autonomous/agentic it operates.

  1. **Loops:**
  – A simple method where Claude Code is instructed to create a loop that executes a specific task at regular intervals (e.g., every 10 minutes).
  – Uses internal tools like `cron create`, `cron list`, and `cron delete` for scheduling.
  – Loops are session-specific and run either in the desktop app or in the terminal.
  – **Advantages:** No additional setup required, full agent functionality within the session.
  – **Disadvantages:** The session and computer must be running, maximum runtime of 7 days, fixed intervals with random delay (jitter).

  2. **Desktop Scheduled Tasks and Cloud Routines:**
  – **Desktop Scheduled Tasks:** Run locally on the computer and require the desktop app to remain open.
  – **Cloud Routines:** Run in Anthropic’s Cloud and don’t require an active session or running computer.
  – Both methods inject a prompt into a Claude Code session and execute the task.
  – **Advantages:** No additional infrastructure needed, full Claude Code functionality, Cloud Routines can also be triggered via API or GitHub events.
  – **Disadvantages:** Cloud Routines have a minimum of 1 hour between executions, limited number of executions per day (depending on plan).

  3. **Deployment on Modal or Trigger.dev:**
  – Here a script (Python for Modal, TypeScript for Trigger.dev) is deployed to the respective cloud platform and runs there on a schedule or as an API endpoint.
  – **Advantages:** No need to keep your own computer or session running, good for deterministic processes.
  – **Disadvantages:** No full agent functionality, AI processing occurs via API and is therefore more expensive. With Claude’s Agent SDK you can also use agentic features, but this is also more expensive.

  Additionally, **Managed Agents** from Anthropic and **Hooks** in Claude Code are briefly mentioned, which can be used for event-driven automations.

  The video is more suitable for **Intermediate** users who already have experience with Claude Code and agents. It focuses on specific tools and providers, including **Claude (Anthropic)**, **Modal**, **Trigger.dev**, and the **Claude Agent SDK**.

• Anthropic Just Dethroned OpenAI. Here's What Happens Next.
  5/13/2026, 9:20:51 PM

  The video discusses the current dynamics in AI-powered coding tools, particularly the competition between OpenAI (Codex) and Anthropic (Claude Code). It begins by noting that Anthropic has overtaken OpenAI in business use, followed by OpenAI’s counter-move offering companies two months of free Codex use. Claude Code responded with a 50% increase in weekly usage limits for the next two months. The author interprets these moves as part of a “free trial phase” where companies and users intensively use the tools while providers focus on adoption and data collection. It’s argued that current prices are not sustainable and users ultimately provide valuable training data for AI models. The author advises using current offers to avoid lock-in and remain flexible to potential future changes. Historical patterns are also referenced where similar dynamics in other industries led to price increases. The final comment emphasizes that users should use the tools to avoid committing to a single provider.

  **AI Tools/Models/Providers:** OpenAI (Codex), Anthropic (Claude Code); **Target Audience:** Intermediate to Advanced.

• Every Level of Claude Explained in 21 Minutes
  5/12/2026, 1:59:35 PM

  The video provides a detailed guide to using Claude across five ascending levels: Enthusiast, Beginner, Intermediate, Advanced, and Architect. Each level is defined by specific features and strategies that gradually guide the user from basic applications to complex automations.

  – **Level 1: Enthusiast** – Basic use of Claude for simple tasks like writing emails or explaining content. An important tip is using screenshots, as Claude can read images.
  – **Level 2: Beginner** – Introduction to Projects, which provide context and continuity. Key features are Memory, Connectors (integration with tools like Slack or Google Drive), File Creation (creating Excel files, PowerPoint presentations, etc.), Artifacts (interactive applications), Inline Visuals (visual representations within chats), and Office Add-ins (integration with Microsoft Office).
  – **Level 3: Intermediate** – Using Claude Co-work for tasks on your own computer. Key features are File System Access, Skills (reusable workflows), Scheduled Tasks (planned tasks), Mobile Control (control via smartphone), Cloud Design (prototype and presentation design) as well as Plugins and Computer Use (navigation in apps).
  – **Level 4: Advanced** – Using Claude Code for complex automations and parallel work processes. Key features are using claude.md (configuration file), Plan Mode (planning and executing tasks), Sub Agents (specialized agents), Work Trees (isolated work areas), MCP (Model Context Protocol for tool integration) as well as various optimization techniques and Custom Commands.
  – **Level 5: Architect** – Creating fully autonomous systems that work without user interaction. Key features are Cloud Routines (scheduled tasks in the cloud), Hooks (security-related logic), Channels (control of external platforms), Headless Mode (autonomous task execution), Agent SDK (creating your own products) as well as Remote Control (remote control of sessions).

  The video emphasizes that the transition to the highest level is less technical than a matter of trust in the systems. It’s recommended to start with simple, low-stakes automations and gradually implement more complex systems.

  **Final Comment:** The video explicitly focuses on Claude and is aimed more at Intermediate to Advanced users.

• Claude Code Just Got an Agent Dashboard
  5/12/2026, 1:06:06 AM

  The video introduces the new “Agent View” feature of Claude Code, which makes it possible to manage multiple agent sessions in a single terminal tab. The user can switch between sessions, monitor their status (e.g., “waiting for input,” “completed”), and navigate directly in and out of sessions. This is particularly helpful for developers who previously struggled with many open terminal tabs and confusing sessions. Control is via arrow keys or by clicking, and new sessions can be started via simple commands or direct task descriptions. The new “Goal” feature is also mentioned, which allows you to set long-term goals for Claude Code that are then pursued autonomously. The video also shows how to delete sessions or enter input directly from the Agent View. At the end, a course is referenced that shows how to use Claude Code as your own operating system.

  The video explicitly focuses on Claude Code and is aimed more at Intermediate or Advanced users who already have experience using Claude Code or similar tools.

• Hermes Agent: Zero to Personal AI Assistant (1 Hour Course)
  5/10/2026, 2:42:25 AM

  The video is a tutorial on setting up and using Hermes Agent, a powerful open-source AI agent by Noose Research. The creator walks the viewer through the entire process, from installation on a VPS (Virtual Private Server) to configuration and use of the agent. Here are the main steps and final result:

  1. **Introduction to Hermes Agent**:
  – Hermes Agent is a self-improving AI agent that grows and adapts with the user.
  – The agent features 684 Skills, of which 91 are already pre-installed.
  – The agent can automate various tasks, such as generating Excel diagrams, transcriptions, and answering questions.

  2. **Comparison with Other Agents**:
  – Comparison of Hermes Agent with Claude Code and OpenClaw.
  – Hermes Agent is lighter, faster, and focused on self-improvement.
  – Claude Code is primarily used for knowledge work and coding, while Hermes Agent is used for automating and managing tasks on the go.

  3. **Installation and Setup**:
  – The creator shows how to install Hermes Agent on a VPS at Hostinger.
  – A step-by-step guide is provided, including setting up a Telegram bot for interacting with the agent.
  – The creator emphasizes the importance of security and shows how to manage API keys safely.

  4. **Using Hermes Agent**:
  – The creator demonstrates how to use the agent for various tasks, such as creating videos with Hyperframes and automating daily tasks.
  – It’s shown how to sync the agent with a GitHub repo to create backups and save work.

  5. **Self-Improvement Loop**:
  – The creator explains the self-improvement loop of Hermes Agent, where the agent learns from experiences and continuously improves.
  – It’s emphasized that the user should correct the agent and provide feedback to improve accuracy and efficiency.

  6. **Advanced Features and Tips**:
  – The creator provides tips on using the agent, such as creating Skills and automating tasks with cron jobs.
  – It’s shown how to use the agent for various tasks and projects, such as managing YouTube comments and creating reports.

  7. **Scaling and Managing Multiple Agents**:
  – The creator discusses scaling and managing multiple Hermes Agents on a VPS.
  – It’s explained how to host agents in different containers and how to make them communicate with each other.

  8. **Resources and Community**:
  – The creator provides a free resource guide containing all steps and information from the video.
  – There’s a reference to the creator’s free training community where additional resources and documents are available.

  **Final Comment**: The video explicitly focuses on Hermes Agent, OpenAI, and specific tools like Hostinger and GitHub. It’s aimed more at Intermediate and Advanced users who already have experience using AI agents and managing servers.

• This is The Most Powerful Tool to Give to Claude Code
  5/9/2026, 1:55:16 AM

  The video introduces **Printing Press**, a CLI factory and library that makes it possible to create and use efficient command-line interfaces (CLIs) for various services. The speaker demonstrates how CLIs compared to APIs and MCPs (Multi-Tool Chains) offer advantages, particularly in terms of token efficiency and integration into agent workflows. Printing Press provides a library with over 50 pre-built CLIs and a factory for creating custom CLIs. The speaker shows how he created a CLI for a school community without an API in minutes, and explains the benefits of CLIs over APIs and MCPs, such as lower token usage and better integration into agent workflows. He also demonstrates how to use pre-built CLIs from the library, e.g., for ESPN to retrieve NBA games, and how to create custom CLIs, e.g., for Hacker News. The speaker emphasizes that CLIs are the best option for agents, followed by APIs and then MCPs. He also shows how to share created CLIs with the team by hosting them in a private GitHub repository. At the end, he emphasizes the importance of CLIs for efficient agent use and the possibility of converting almost anything into a CLI.

  The video explicitly focuses on the **Printing Press** tool and is aimed at **Intermediate** users who already have experience with APIs and agent workflows.

• Overwhelmed By AI? Just Copy My Tech Stack
  5/8/2026, 1:38:26 AM

  The YouTuber presents his personal selection of AI tools that he uses daily, weekly, or occasionally, and shares his thoughts on how to cope with rapid development and the abundance of new tools without feeling overwhelmed. He starts with his “daily drivers” (S-tier), including Claude Code (his main tool), VS Code (as IDE for Claude Code), and Glydo (for speech-to-text transcription). In the A-tier, he mentions tools he uses weekly, such as Codex (another agent tool), Claude (for chat-based tasks), Hermes Agent (for general knowledge work), Perplexity (for research), and Groq (for specific search tasks). He emphasizes that his core stack consists of these few tools, although there are many other tools he uses occasionally or for specific tasks. The YouTuber also discusses his “specialists” (B-tier), which he uses for specific tasks, such as Appify, GBT Image 2, Nano Banana 2, Key.ai, and HeyGen. In the C-tier, he mentions tools he uses experimentally, such as Gemini, Anti-Gravity, Ollama, and Manifold. He also has a “graduated” category for tools he no longer uses, such as ChatGPT, OpenClaw, Cursor, Notebook LM, Poppy AI, Anytten, and WhisperFlow. The YouTuber shares his thoughts on efficiency and productivity, emphasizing the importance of focusing on essentials and not being distracted by new tools. He advises treating tools as “harnesses” that can be integrated into existing projects, and emphasizes the importance of focusing on your own goals (North Star) and only using tools that actually provide added value.

  The video explicitly focuses on multiple AI tools and models, including Claude Code, VS Code, Glydo, Codex, Claude, Hermes Agent, Perplexity, Groq, Appify, GBT Image 2, Nano Banana 2, Key.ai, HeyGen, Eleven Labs, Claude Design, Gemini, Anti-Gravity, Ollama, Manifold, ChatGPT, OpenClaw, Cursor, Notebook LM, Poppy AI, Anytten, and WhisperFlow. The video is aimed more at Intermediate and Advanced users who already have experience with AI tools and want to optimize their workflows.

Ben AI (5 new videos)

• Every Claude Cowork Concept Explained for Normal People
  20.5.2026, 10:06:05

  The video provides a comprehensive introduction to using Cloud Co-work, a tool that can revolutionize how you and your team work. It starts by explaining fundamental concepts and features, divided into three main categories: Memory and Context Concepts, Capabilities and Automation Concepts, and Connectors and MCP Concepts. The focus is on how these concepts can improve efficiency and relevance when working with Cloud.

  A central topic is managing Cloud’s limited context windows, which are partially solved through features like global instructions and built-in reminders. Users are encouraged to leverage external files and folders to create persistent context, enabled by features like file access and the creation of Clot.MD files. Projects and a centralized “Second Brain” or AIOS (Artificial Intelligence Operating System) are presented as solutions for organizing and accessing context across different projects and teams.

  Cloud Co-work’s capabilities, such as code execution, Skills, Skills 2.0, and Evals, as well as scheduled tasks and routines, are explained in detail. These capabilities enable automation of repetitive tasks and more efficient handling of complex work. Connectors and MCP (Model Context Protocol) are presented as means to connect Cloud with external software applications, enabling workflow automation across various platforms.

  The video concludes with best practices for using Cloud Co-work, including selecting the right model for different tasks, optimizing token usage, and deciding when to switch to Cloud Code. Tips are also provided for introducing Cloud Co-work to a team, including managing permissions and using shared Skills and plugins.

  The video explicitly addresses Claude (OpenAI) and is more suited for intermediate to advanced users.

• 5 Skills to Build an AI Operating System Like The 1% (Full Guide)
  16.5.2026, 08:48:55

  The video demonstrates how to set up a “Second Brain” or AI operating system to boost efficiency and productivity with AI tools. The author, Ben, emphasizes the importance of a well-structured and maintained system to optimize token costs and provide relevant context. He introduces five Clot-Skills that help establish the system quickly and according to best practices:

  1. **OS Setup Skill**: Helps with the initial setup of the Second Brain, including populating context, structuring folders, and creating Clot.md files that serve as an instruction layer for AI agents.

  2. **OS Operator Skill**: Sets up a scheduled task that pulls real-time context from various sources (e.g., meetings, Slack chats) and updates the Second Brain accordingly. This includes creating daily summaries, task lists, and maintaining existing files.

  3. **OS Optimizer Skill**: Performs regular audits and optimizations to improve the Second Brain’s efficiency and token usage. This includes eliminating duplicates, correcting formatting, and improving folder structure.

  4. **Team OS Skill**: Enables sharing and synchronization of the Second Brain within a team, including setting up read and write permissions for different team members.

  5. **OS MCP Skill**: Creates an MCP (Managed Connector Proxy) from the Second Brain, allowing scheduled tasks and optimizations to run autonomously, even with your laptop closed.

  The author recommends starting with setting up the Second Brain and expanding it incrementally, as the benefits grow over time with increasing context. He offers additional resources and support for those wanting to dive deeper into the topic.

  The video explicitly addresses Claude and is more suited for intermediate and advanced users.

• How to Actually Use Claude Design Like a Pro (Real Use Cases)
  12.5.2026, 07:40:42

  The video shows how to use Cloud Design efficiently for various design tasks, including presentations, social media content, and websites. The main focus is on a four-step process: First, setting up a comprehensive design system containing colors, fonts, and styles. Second, using templates to pre-define formats and layouts. Third, using Skills to pre-define text and content. Fourth, integrating these elements into Cloud Design to quickly create consistent designs. The creator emphasizes that this preparation avoids endless iterations and high token costs. Concrete examples and steps for setting up design systems and templates are shown, as well as using Skills to automate the process. Free resources and tools are also offered to ease getting started.

  The video explicitly addresses Cloud Design and is more suited for intermediate users who already have initial experience with AI tools.

• Live Artifacts Just 10x’d Claude Cowork (Real Use Cases)
  27.4.2026, 11:02:09

  The video demonstrates Claude’s new Live Artifacts feature, which enables creating personalized dashboards with real-time data from various software tools. The creator shares examples of dashboards he’s built for different business areas, such as marketing, sales, customer support, and competitive analysis. These dashboards pull data from tools like YouTube, Bitly, PostHog, Stripe, and Circle to provide personalized insights and strategic recommendations. Users can also ask questions about the data through an integrated AI chat function and, in some cases, execute direct actions such as composing and sending messages.

  The benefits of Live Artifacts lie in centrally displaying data from various sources, customizing dashboards, and integrating AI-powered insights and actions. The creator emphasizes that this feature has the potential to fundamentally change how work is organized and executed by serving as a central interface for data visualization and automation.

  Current limitations include limited ability to execute actions, inability to share dashboards with others, and performance issues when using multiple connectors. The creator shows how to create Live Artifacts by clearly communicating to Claude which data is needed and what actions the AI should perform. He recommends converting existing scheduled tasks into Live Artifacts to increase efficiency.

  Final note: The video explicitly addresses Claude and is more suited for intermediate to advanced users.

• How to Use Claude Routines Better than 99% of People
  25.4.2026, 09:12:01

  The video explains Claude’s new Routines feature, which enables automating recurring tasks without requiring technical expertise. Three main examples of routines are shown: a daily check for failed customer payments, creating personalized offers after a sales conversation, and a churn recovery routine. Routines can be triggered either on a schedule or by events and run autonomously in the cloud. Building a routine consists of four elements: Prompt, Trigger, Repo and Files, and Connectors. Current limitations of routines are also discussed, such as the limited number of webhook triggers and the need to store files and Skills in a GitHub repository. The creator shows how to set up a routine from scratch, including setting up a GitHub repository and using N8N to trigger the routine on a specific event. It’s emphasized that creating reliable routines requires prior creation and testing of Skills.

  The video explicitly addresses Claude, GitHub, and N8N and is more suited for intermediate users.

Brian Casel (10 new videos)

• How I build agents that work the night shift
  12.5.2026, 12:01:07

  The video shows how to deploy AI agents as a “night shift” to automatically handle recurring tasks while you sleep or do other things. The approach consists of three parts: a shared interface (e.g., a Markdown file or custom app), human feedback in short, focused sessions, and an agent with a skill running on a fixed schedule. The speaker shares two concrete examples from his own business: an agent that checks and improves SEO meta tags on his website, and another that reviews pull requests in his GitHub open-source projects. The process allows him to review agent work in short intervals and provide feedback without spending all day in a chat window. The speaker emphasizes the importance of designing systems upfront and treating agents as team members who work independently.

  The speaker uses Claude and OpenAI, with a focus on Claude, and addresses both beginners and advanced users who want to integrate AI agents into their workflows.

• Why You Need Claude Code Server Mode?
  6.5.2026, 14:01:40

  The video demonstrates how Claude Code can use locally installed skills that wouldn’t be available in cloud-based Claude Code. The user shows that locally installed skills appear in the list of available skills because they exist on the local file system. This makes it possible to complete tasks that require access to local files and directories, making the local version of Claude Code more flexible. The main advantage is that local resources can be accessed directly, which isn’t possible in a cloud-based environment.

  **Final note:** The video explicitly covers Claude Code and is aimed at intermediate users.

• Why Every AI Coding Tool is Converging on Plan Mode?
  1.5.2026, 14:01:11

  The video shows how three different tools (Claude Code, Cursor, and Codex) are used for spec-driven development. The author starts with a basic PRD (Product Requirements Document) for a customer portal and demonstrates how this document is used in each of the three tools to create an implementation plan. Claude Code automatically recognizes plan mode, while Cursor and Codex activate plan mode via Shift+Tab. The author emphasizes the convergence of tools toward plan-driven workflows, which facilitates standardization and simplification of development.

  The video explicitly covers Claude Code, Cursor, and Codex and is aimed at intermediate and advanced users.

• You don’t need to learn to code anymore
  18.5.2026, 13:30:40

  The video shows how to build your own applications without programming knowledge by using AI as a tool. The focus is on “spec-driven development,” where you create a clear specification (PRD) that is then broken down into milestones and implemented by an AI-coding agent. The process starts with a rough idea, which is then transformed into a detailed product requirements document (PRD). This document contains all relevant information such as scope, data model, integrations, and features. Next, the PRD is divided into milestones, each representing a completable unit. The creator demonstrates building an invoicing application as an example, using two self-developed tools: “build new” as a starter template and “PRD Creator” as an agent skill that supports the PRD creation and milestone breakdown process. The PRD Creator asks questions an experienced product designer would ask and helps ensure all important details are considered. At the end, you have a clear, written planning document that serves as the foundation for implementation by the AI-coding agent.

  The video explicitly covers the AI models Claude, Codex, and Gemini, as well as the tools Cursor and Resend. It’s more suitable for intermediate and advanced viewers, as it assumes viewers already have basic knowledge of using AI tools.

• How I build agents that work the night shift
  12.5.2026, 12:01:07

  The video shows a process the user calls “Radar Scan,” in which multiple AI agents run on a Mac Mini with OpenClaw. One of these agents, named Veil, is responsible for marketing and performs a radar scan daily at 4:00 AM. The result is saved as a Markdown file in Dropbox and can be accessed via a link in Telegram. The file is opened in a self-built app called Brainown, which makes reading and writing Markdown files easier. The scan mainly summarizes tweets from the user’s industry that he follows, including messages from companies, influencers, and thought leaders. The user organizes his Telegram contacts into human and agent friends and receives an overview of the report in Telegram, with the option to open the full file in Brainown.

  The user covers OpenClaw and the self-built app Brainown, which makes the video more interesting for intermediate or advanced users.

• Why You Need Claude Code Server Mode?
  6.5.2026, 14:01:40

  The video shows the evolution of creator Brian Casel’s workflow with AI agents from 2023 to 2026. Initially, he worked manually; starting in 2024, he used AI as an extension (e.g., tab completion, chatbots for text); in 2025, AI became a collaborator (specifically Claude Code); and in 2026, he orchestrates multiple agents simultaneously. He emphasizes that the quality of specifications (specs) for agents is critical and that multitasking with agents is now a natural step. The video covers various tools like Cursor, Claude Code, Superset, and Conductor that are suitable for agent-based development, with Superset currently being his favorite. He demonstrates how he switches between different worktrees and projects and uses agents on mobile to delegate tasks while pursuing other activities. He also integrates agents into internal tools like Spark Drop and Brain Down to connect product development and marketing. He uses OpenClaw and Claude Co-Work for automated, recurring tasks. The video concludes by emphasizing that multitasking with agents is the next logical step for builders.

  **Final note:** The video covers Claude (specifically Claude Code and Opus), OpenClaw, and tools like Cursor, Superset, and Conductor. It’s aimed at intermediate and advanced builders who already have experience with AI agents.

• Why Every AI Coding Tool is Converging on Plan Mode?
  1.5.2026, 14:01:11

  The video covers setting up OpenClaw, a tool for agent teams, and the decision between a cloud VPS or physical device. The author explains that he chose a new Mac Mini M4, even though cheaper options like a cloud VPS starting at five dollars per month exist. The reasons for this choice are the possibility of screen sharing, visual management, and future requirements for storage and bandwidth. If OpenClaw doesn’t meet expectations, the author plans to use the Mac Mini in his home studio.

  The video covers OpenClaw and is aimed at intermediate or advanced users familiar with agent teams and server setups.

• Building a Custom AI News Agent with RSS and Telegram
  29.4.2026, 14:00:14

  The video demonstrates how to create a new GitHub repository via the mobile website and then connect it to the Claude app to generate simple “Hello World” code. The process starts with creating a new repository on GitHub, selecting a template for a Rails app. Next, the repository is connected in the Claude app by authorizing repository access permissions in GitHub. Claude then generates simple “Hello World” code and creates a pull request that can be merged into the new repository.

  The video explicitly covers GitHub and the Claude app and is aimed at intermediate users.

• Multitasking With Agents: My 2026 Workflow
  29.4.2026, 12:01:10

  The video compares the AI platforms Claude and OpenClaw in terms of their suitability for building business processes. Claude is described as trustworthy and mature, particularly for creative and strategic tasks. OpenClaw, on the other hand, is portrayed as immature but innovative, with shortcomings in setup, documentation, and reliability. Despite these weaknesses, OpenClaw has advanced the concept of agent hiring and could play a significant role long-term. The choice of platform depends on priorities: trust and maturity (Claude) or innovation and potential (OpenClaw).

  The video explicitly covers Claude and OpenClaw and is aimed at intermediate and advanced users who want to use AI tools for business purposes.

• VPS vs Mac Mini for OpenClaw
  28.4.2026, 14:00:18

  The video discusses the suitability of Claude Design for real work processes in product development. The author tests two main use cases: first, creating a new T-shirt marketplace, where he finds that while Claude Design generates appealing mockups, integration into an existing codebase and further development are problematic. Second, expanding an existing website with a design system analyzed from a GitHub repository. Here too, he sees difficulties in practical implementation. Instead, he prefers working directly in Claude Code with a self-created design system integrated into the codebase. However, the author identifies two meaningful use cases for Claude Design: as a visual planning tool in the early ideation phase for new products, and for creating marketing assets like animations and presentations that match brand identity. He emphasizes that Claude Design is not suitable as an end-to-end tool from idea to finished product, but can be useful in specific phases and applications.

  The video explicitly covers Claude Design and Claude Code and is aimed at intermediate to advanced users who already have experience with AI-assisted product development.

Melvynx (10 new videos)

• Codex : control your computer and VPS with your iPhone
  19.5.2026, 16:00:15

  The video demonstrates the integration of Codex, an OpenAI tool, with mobile devices, particularly iPhones, and its advantages over previous solutions like Cloud Remote Control. The user shows how to connect an iPhone with the Codex app and gain remote access to various devices and services. This includes SSH connections to VPS (Virtual Private Servers), controlling a Mac, and continuing chats across different devices. The video particularly highlights the ability to send commands to a VPS from your iPhone to automate or control tasks. The user emphasizes the user-friendliness and efficiency of the integration, allowing work without complicated additional setup. It also demonstrates accessing additional plugins via VPN that aren’t available in certain regions.

  The video explicitly covers OpenAI (Codex) and is aimed at intermediate to advanced users who already have experience with remote access and VPS usage.

• Confession d'un Workaholic à SEOUL
  19.5.2026, 07:00:31

  The video showcases the YouTuber’s workspace and emphasizes the importance of ergonomic setup for productivity. He recommends placing the monitor at eye level to avoid physical strain, using a tripod for this purpose. His setup consists of a single monitor, an Apple keyboard, and a Logitech mouse. The YouTuber works in a space rented through the Stitch Creator program and praises the platform’s benefits. He mentions producing three videos in a single day without leaving the room and highlights his workspace’s efficiency.

  The YouTuber doesn’t cover specific AI tools or models; the video is aimed at intermediate or advanced users interested in productivity and workspace optimization.

• I MIGRATE Thumbfa.st to Convex + Tanstack Start ($1000 Codex API spent)
  18.5.2026, 16:01:13

  The YouTuber presents the migration of his application Subfast from the Next.js stack (Next.js, Prisma, PostgreSQL) to the TanStack stack (TanStack Start, Convex). He compares both stacks based on performance, user experience, and development processes. The new stack offers faster, synchronized user interface and simplified code maintenance since Convex as a backend centrally manages all data and actions. The developer highlights Convex’s advantages such as instant data synchronization and easy debugging through direct access to logs and debugging tools. The migration has significantly reduced application complexity and increased development speed.

  The video explicitly covers the tools and providers Convex and TanStack Start and is suitable for intermediate to advanced developers.

• Apple Maps vs Google Maps: The choice of Americans
  17.5.2026, 07:00:38

  The video discusses the use of Apple Maps compared to Google Maps, particularly in the context of the Apple ecosystem. The user emphasizes that Apple Maps combined with the Apple Watch enables practical navigation, as the watch provides vibration cues for turns without needing to pull out the iPhone. However, Apple Maps is criticized for offering a less reliable user interface than Google Maps, since Google Maps has more data and is already established in many regions. The video also highlights the high air quality in the region, despite general environmental challenges in the US.

  The video covers Apple Maps and Google Maps and is aimed at intermediate users already familiar with the Apple ecosystem.

• OpenAI doesn’t pay me
  17.5.2026, 06:16:42

  The video deals with the challenge of adapting to new technologies, particularly in the context of AI tools. The speaker shares his personal experience switching from Claude to Codex after initially showing resistance to change. He describes how the introduction of AI has affected his YouTube views and how he initially felt frustrated. He ultimately emphasizes the importance of adapting to new tools and making the best of them, without financial interests being involved.

  The speaker explicitly covers the AI models Claude and Codex and targets an audience interested in AI tools, likely at an intermediate level.

• I'm abandoning Claude Code for Codex… let me show you
  16.5.2026, 16:00:40

  The video is a detailed review and demonstration of the Codex application that the user presents after a week of intensive use. The user explains why he switched from Cloud Code to Codex, mainly due to cost efficiency and improved features. He shows his use of Codex, including using work-trees for multitasking and integration with various tools like Z and Convex. The user highlights Codex’s advantages such as the ability to use multiple agents simultaneously, a better user interface, and the possibility of using tokens more cost-effectively. He also demonstrates how he migrated his Skills and agents from Cloud Code to Codex using symlinks. The user mentions preparing a masterclass on using Codex and invites viewers to use his Skills and resources.

  Final note: The video explicitly covers Codex and is aimed at intermediate or advanced users.

• I respond to angry comments
  16.5.2026, 10:35:16

  The video is a response to criticism from a user named Benjamin Code. The YouTuber defends himself against accusations of being unqualified, disorganized, and dishonest. He admits his videos can sometimes be unstructured but emphasizes he’s happy when his enthusiasm comes through. He addresses specific accusations, such as the claim that you can’t exceed the token limit with a maximum plan, and explains that he actually has. The YouTuber mentions his large presence on LinkedIn and YouTube to underscore his experience and reach. He concludes that he finds such comments unnecessary and views his videos as entertaining rather than always serious.

  The YouTuber covers OpenAI and addresses both beginners and intermediate users.

• Better-Auth : the ultimate authentication tool with Convex (avoid Clerk)
  15.5.2026, 16:31:38

  The video discusses the pros and cons of Clerk, an authentication service, and compares it with Better Auth, an alternative solution. The author argues that while Clerk offers quick and easy integration, it can be problematic due to vendor lock-in and high costs. Better Auth is presented as a more flexible and cost-effective alternative offering more control and customization options. The author demonstrates how he implemented a comprehensive authentication solution with Better Auth including an admin dashboard and organization management, supported by AI agents. He emphasizes Better Auth’s advantages such as the ability to self-host and control everything, and integration into his own stack, which he offers as part of his Nostac training.

  The video explicitly covers Clerk and Better Auth and targets intermediate to advanced users dealing with authentication solutions for their applications.

• I destroy NextJS
  15.5.2026, 09:16:47

  The video is a reflection by the creator on his criticism of Next.js and his general attitude toward technological change. He emphasizes that he doesn’t fundamentally reject Next.js but rather has a direct and sometimes aggressive communication style that might give that impression. The core of his argument lies in emphasizing the mental flexibility needed to adopt new tools and technologies. He argues that many developers cling to outdated technologies out of habit or fear of effort, even when better alternatives might exist. With the introduction of AI tools, he now sees the possibility of performing migrations faster and more efficiently, which significantly lowers the barrier to switching to new technologies. His main thesis is that developers and people in general should be willing to question their tools and opinions and continue to evolve.

  The creator covers Next.js and AI tools, with the video aimed at intermediate and advanced developers familiar with technological migrations and decisions.

• DEVS STOP USING CLAUDE : it's getting worse…
  14.5.2026, 15:44:37

  The video discusses growing dissatisfaction with Claude, an AI model by Anthropic, and the increasing popularity of OpenAI’s Codex. The author describes how Claude initially gained developers’ trust but is now criticized for new pricing and restrictions on using API tokens for programmatic applications. Particularly problematic is the introduction of a monthly credit of $200, which only covers $200 worth of API tokens, seen as insufficient.

  The author compares his experiences with Claude and Codex, highlighting how Codex convinces through its efficiency and flexibility. He describes how he switched his workflows from Claude to Codex, which brought him better results and more tokens for his money. He also praises the Codex app for its user-friendliness and multitasking capabilities.

  The author concludes by recommending trying Codex and shares his current stack, which includes both Claude and Codex. He emphasizes he continues using both services but currently relies more on Codex.

  **Final note:** The video explicitly covers Claude by Anthropic and Codex by OpenAI and is aimed at intermediate to advanced users.

Dave Ebbelaar (4 new videos)

• The Complete Guide to Hybrid Search in RAG (BM25 + Embeddings + Reranker)
  14.5.2026, 17:52:50

  This video is a detailed tutorial showing how to build a hybrid retrieval system from scratch that combines BM25, dense embeddings, reciprocal rank fusion (RRF), and a re-ranker. The focus is on creating a production-ready system that will remain relevant in 2026. The tutorial begins by explaining the dataset used, the Financial QA dataset, which is part of the BEIR benchmarks. This dataset contains financial questions and their corresponding answers, used to evaluate the retrieval system.

  The tutorial walks through the process of creating BM25 and dense embedding indices, performing queries, and combining results with RRF. A re-ranker is then added to further improve the results. The tutorial emphasizes the importance of evaluation and shows how to measure system performance using normalized discounted cumulative gain (NDCG).

  At the end, the tutorial explains how to apply the system to your own projects, including creating your own evaluation dataset. The tutorial is designed for developers and engineers who already have foundational knowledge in retrieval systems and want to use them professionally.

  Final comment: The video covers OpenAI (for embedding models) and Cohere (for the re-ranker) and is aimed at intermediate to advanced users.

• Building Agentic RAG From Scratch in Pure Python
  10.5.2026, 09:57:56

  This video demonstrates how to build an agentic RAG (Retrieval-Augmented Generation) system from scratch in pure Python. The focus is on making enterprise data or private information accessible to large language models for use in AI automation. The author, Dave Ebbelaar, explains the differences between classical semantic RAG and agentic RAG, with the latter excelling through a feedback loop and repeated use of the language model’s intelligence.

  The system is built in several steps: First, simple tools are defined that can list, search, and read files. These tools work with Markdown files in the file system. The author shows how to implement these tools in Python, including using regular expressions to search for patterns in files. Next, a simple agent is created with these tools that can answer questions about the contents of the Markdown files. The agent uses tools in a loop to find the right information and self-correct.

  The author also covers production best practices, such as using Rust-based tools like ripgrep for faster and safer file searching, as well as implementing error messages that the language model can interpret to improve the agent. He shows how to deploy the system in various environments such as VPS, container apps, or serverless functions.

  At the end of the video, a complete example of an agentic RAG system in Python is presented that follows production best practices and can be used in real-world projects.

  The video covers OpenAI and is suitable for intermediate to advanced users.

• If I Started AI Freelancing in 2026, I’d Do This
  4.5.2026, 15:15:23

  **Summary:**

  The video content describes a three-stage framework that the author calls the “Data Freelancer Blueprint” for succeeding as a freelancer in AI and data. The three stages are:

  1. **Get Going:**
  – Overcome psychological barriers and start with simple but useful projects that are often considered “boring,” such as data automation or report generation.
  – Create three end-to-end projects you can demonstrate and learn how to integrate and deploy code into real systems.
  – Update your LinkedIn profile to clearly communicate what problems you can solve.

  2. **Getting Paid:**
  – Determine your hourly rate through research.
  – Use your network for warm introductions and conversations with decision makers.
  – After the conversation, create a detailed project proposal with milestones, deliverables, and cost estimation.

  3. **Get Good:**
  – Focus on improving leads, sales, and delivery.
  – Build long-term contracts to secure stable income.
  – Use various channels like LinkedIn, YouTube, and freelance platforms to generate leads.

  The author emphasizes that freelancing in the tech sector is a safe and lucrative way to start a business and encourages viewers to take the first step.

  **Final comment:**
  The video covers tools like N8N and Airtable (low-code/no-code solutions) as well as Python and TypeScript (custom code solutions) and is aimed at intermediate and advanced freelancers looking to enter or expand their business in the AI and data space.

• Programming Has Changed – Here’s What I Focus On Now
  23.4.2026, 18:05:51

  The video discusses the future of tech jobs and the relevance of current skills in a rapidly evolving environment, particularly in relation to artificial intelligence (AI). The speaker emphasizes that software engineers, AI engineers, and data scientists will continue to be needed, but requirements and ways of working will change. He introduces three concepts that describe how organizations use AI: AI-enabled, AI-first, and AI-native.

  1. **AI-enabled**: Organizations use AI tools to increase employee efficiency without fundamentally establishing new processes.
  2. **AI-first**: Organizations optimize their processes and systems around AI, with AI agents playing a central role.
  3. **AI-native**: Organizations are built from the ground up with AI agents, with minimal human intervention.

  The speaker advises focusing on the ability to help organizations transition from AI-enabled to AI-first and eventually to AI-native. This requires broad knowledge of the entire technology stack (full-stack skills) as well as the ability to analyze and automate business processes. He emphasizes the importance of not just having technical skills, but also being able to identify and optimize business processes suitable for automation.

  The speaker sees the future of tech jobs in the ability to develop end-to-end AI automation and support organizations in transitioning to AI-driven processes. He recommends positioning yourself as a freelancer or consultant to help small and large organizations implement AI solutions.

  Final comment: The video covers general AI developments and is aimed at intermediate and advanced tech professionals.

Niklas Steenfatt (1 new video)

• OpenClaw für Dummies
  26.4.2026, 18:21:37

  The video shows step by step how to set up your own OpenCore AI assistant, starting with installation on a Hostinger server through connecting with various tools to setting up email and Google services. The creator recommends treating the assistant like a new employee and granting it only the necessary access to minimize security risks. Tools like Tavily for internet research, Notion for databases, and Deepgram for voice message integration are presented. It also explains how to set up recurring tasks and subagents as well as how to keep costs in check. For advanced users, there are tips on troubleshooting and using the command line.

  The video explicitly covers OpenCore, Hostinger, Anthropic, Tavily, Notion, Deepgram, Google Cloud, Excalidraw, and ChatGPT and is more suitable for intermediate to advanced users.

Fireship (7 new videos)

• I can’t believe this trial is real…
  15.5.2026, 18:51:21

  The video summarizes the ongoing trial between Elon Musk and Sam Altman, and between OpenAI and Microsoft. Musk is suing for $134 billion, claiming that Altman and others transformed the originally non-profit OpenAI into a profitable company while betraying the original mission. The trial has produced numerous revelations, including internal emails showing Musk’s earlier attempts to take over OpenAI, as well as conflicts within the company. Both sides are portrayed as unreliable, with Musk’s chances of winning assessed as low. The trial could be decisive for OpenAI’s future and the AI industry as a whole.

  The video explicitly addresses OpenAI, Microsoft, and specific individuals like Elon Musk, Sam Altman, Greg Brockman, and Ilya Sutskever. It is geared towards intermediate and advanced viewers, as it covers detailed background information and legal aspects.

• A single PR just hijacked the NPM registry…
  14.5.2026, 17:39:11

  The video reports on a severe supply-chain attack on open-source packages in the npm ecosystem, where over 100 packages with a combined download rate of over 50 million times per week were compromised. The attack exploited a vulnerability in the Tanstack project’s release process when an attacker created a pull request in a fork of the repo, triggering the CI/CD workflow. By using the `pull_request_target` option, the attacker was able to inject malicious code into the CI server’s shared cache, which was later triggered by a legitimate merge. The malware used stolen npm publish tokens to release further compromised packages and spread to other systems, including infecting developer tools like GitHub and VS Code. The malware even contained a “dead man switch” that deleted root directories on infected machines when detected.

  To protect against such attacks, the video recommends using PNPM version 1 or higher, which offers features like “Minimum Release Age,” “Block Exotic Subdependencies,” and “Approved Builds” to block malicious packages. Additionally, Sentry is presented as a tool for production error handling that works with an AI-powered agent to automatically investigate and fix issues.

  The video addresses specific tools like PNPM, npm, GitHub Actions, and Sentry and is intended for intermediate to advanced users.

• Every operating system concept in one video…
  7.5.2026, 17:32:34

  The video explains in detail how an operating system works from the moment the power button is pressed to shutdown. It begins with the bootloader, which loads the operating system, then moves to privilege rings, which separate kernel and application permissions. Virtual memory is described as a system that allows multiple applications to run in parallel without interfering with each other. The kernel builds the filesystem, loads device drivers, and enables interrupts that allow the system to respond to input. The kernel then starts the first process (PID1), which is the ancestor of all other processes. System calls enable applications to communicate with the kernel, and the scheduler manages CPU time for many processes. Threads allow applications to perform multiple tasks simultaneously, and interprocess communication (IPC) enables different processes to communicate securely. Finally, the shutdown process is described, where all processes are terminated and the system is safely shut down.

  The video addresses operating systems and their components in general, without mentioning specific tools or vendors, and is geared towards intermediate or advanced viewers.

• 732 bytes of Python just borked every Linux machine on earth…
  4.5.2026, 18:40:40

  The video addresses a critical security vulnerability in the Linux kernel, known as “copy fail” (CVE-2023-31431), which has existed since 2017 and was discovered by an AI tool. The vulnerability allows a local user to gain root access by writing four bytes to the page cache of a read-only file. All Linux distributions updated after 2017 are affected. The vulnerability was exploited through a Python script that uses the ONC ESN protocol and the AF_AGL interface. Although the vulnerability is not remotely exploitable, it is strongly recommended to update systems. The video also mentions the role of AI in discovering security vulnerabilities and promotes Code Rabbit, an AI tool for improving code quality.

  The video explicitly addresses AI tools like the AI agent tool used by Theori and Code Rabbit, and is intended for intermediate to advanced users.

• GitHub is having some major issues right now…
  30.4.2026, 16:37:31

  The video “It’s 10 p.m. Do you know where your children are?” from The Code Report addresses the current problems and challenges facing GitHub, the leading platform for software development. It notes that GitHub has recently experienced massive reliability problems, including frequent outages, missing pull requests, and search functions that no longer work. The video creator attributes this to increasing strain from AI agents that use the platform as a free resource. An example cited is Mitchell Hashimoto’s decision—the creator of tools like Vagrant and Terraform—to remove his open-source projects from GitHub after struggling with outages for months. The video also mentions alternatives like GitLab, Codeberg, and Source Hut that could serve as fallback options. Finally, it emphasizes that despite GitHub’s problems, developers still have many options for hosting their projects.

  The video addresses GitHub and Microsoft and is geared towards intermediate and advanced developers.

• I can’t believe this trial is real…
  15.5.2026, 18:51:21

  The video offers a humorous outlook on futuristic technologies of 2026, including an AI-powered smart toilet, intelligent haircut machines, and an AI pocket pet. However, the focus is on OpenClaw, a personal AI assistant system that has generated buzz since its release in January 2026. The creator demonstrates how to host and configure OpenClaw on a virtual private server from Hostinger to solve specific problems, such as answering family inquiries in one’s own voice. The process includes setting up a Telegram bot, integrating 11 Labs for voice generation, and configuring tools to generate automated responses.

  The video explicitly addresses OpenClaw and Hostinger and is geared towards intermediate users, as it involves technical steps for setting up and configuring an AI assistant system.

• A single PR just hijacked the NPM registry…
  14.5.2026, 17:39:11

  The video introduces Claude Design, a new AI-powered platform by Anthropic based on the Opus 4.7 model that converts Figma designs into interactive prototypes, pitch decks, and production-ready UIs. The AI can process high-resolution images and offers advanced features like interactive animations, design variations, and even video editing. The video demonstrates the creation of an iOS onboarding flow for a fictional app called “Horse Tinder,” where the AI provides a good starting point but doesn’t always apply the design system correctly. Despite some weaknesses, Claude Design shows promising capabilities that could revolutionize traditional design tools and processes.

  The video explicitly addresses Anthropic’s Claude Design and Opus 4.7, as well as Google Cloud Run, and is geared towards intermediate and advanced users.

Julian Ivanov | AI Automation (9 New Videos)

• Use Claude Code 24/7 from Anywhere #claudecode #claude #claudeai
  16.5.2026, 13:23:32

  The video demonstrates how to control projects like building and hosting a website using the Cloud Code app on your phone, without needing your computer to be on. The user gives commands via voice input, and the cloud executes them, such as changing a website’s color palette. The video showcases the seamless interaction and shows how to configure the cloud to complete tasks autonomously without user intervention. At the end, the finished, live-hosted website is displayed in the browser.

  The video explicitly focuses on the Cloud Code app and is better suited for intermediate users.

• Let Claude Code Work for You from Your Phone (Remote Control)
  16.5.2026, 13:23:09

  The video shows how to install Anthropic’s Claude Code on a server and control it via the Remote Control function from your phone to work on projects from anywhere. The user demonstrates creating a website, deploying it on a server, and making adjustments from a phone without having to sit at a PC. Various commands are explained such as `Remote Control`, `Set a Goal`, and `Loop`, which allow you to give Claude Code tasks that are executed automatically until a specific goal is reached or at regular intervals. The user uses a server from Hostinger with Claude Code pre-installed and shows how to set up DNS entries for a domain to go live with the created website. At the end, two helpful commands are introduced: `Slash Goal`, to instruct Claude Code to complete a task until a certain condition is met, and `Slash Loop`, to have Claude Code perform a specific action at regular intervals.

  The video explicitly focuses on Claude (Claude Code) and is better suited for intermediate users.

• I Hired Claude Code as My Video Editor
  11.5.2026, 17:02:17

  The video shows how to edit videos using AI tools like Claude Code, Hyperframes, and Claude Design without using traditional editing software. The process involves three main tools: Videouse, Hyperframes, and Claude Design. Videouse cuts the video based on the transcript created via 11 Labs. Hyperframes generates animations and motion graphics based on HTML, CSS, and JavaScript. Claude Design enables creating animations and designs in the browser without writing code and integrates branding. The workflow is explained step by step, including setup and tool usage. It demonstrates cutting videos, adding animations, and rendering the final result in 4K. The video is suitable for intermediate users who want to use AI tools like Claude Code, Hyperframes, and Claude Design.

• These 20 Claude Code Tricks Will Save You Hours
  7.5.2026, 19:15:23

  The video presents 20 tricks and best practices for effectively using Claude Code in various work situations. Key tips include:

  1. **Use Plan Mode**: Create a plan before starting a project or major changes and discuss it with Claude to avoid misunderstandings.
  2. **Ask Questions**: Have Claude ask clarifying questions before it starts working to ensure all details are clear.
  3. **Discuss Rather Than Command**: Treat Claude as a sparring partner and present problems openly instead of prescribing solutions.
  4. **Autoaccept Mode and Permissions File**: Use Autoaccept Mode for more efficient work and create a permissions file to restrict access to sensitive files.
  5. **Use Voice Input**: Enter long prompts via voice to save time and convey context better.
  6. **Slashinit for Project Onboarding**: Use the Slashinit command to quickly onboard Claude to a project and create project memory.
  7. **Maintain Cloud MDI**: Actively maintain the Cloud MDI file and store important information there to provide Claude with relevant info each session.
  8. **Emergency Stop and Rewind**: Use the Escape key to stop or reset Claude if something goes wrong.
  9. **File Mentions as Shortcuts**: Reference files directly in the chat to make it easier for Claude to access important information.
  10. **Use Screenshots**: Use images or screenshots to better explain designs or layouts.
  11. **Self-Check**: Instruct Claude to review its own work to avoid correction loops.
  12. **One Task Per Session**: Handle only one task per chat to avoid overloading the context window.
  13. **Use /context**: Check context status to see what’s taking up space in the context window and free up room.
  14. **Slashcompact and Slclear**: Condense the context window with Slashcompact or clear it with Slclear to make space.
  15. **Custom Skills**: Outsource regular tasks to Skills to avoid re-explaining them to Claude each time.
  16. **Use Different Models by Task**: Use different models (HighQ, Sonnet, Opus) depending on task complexity.
  17. **Hooks for Notifications**: Use hooks to be notified when Claude has completed a task.
  18. **Subagents and Agent Teams**: Use subagents for token-intensive tasks and agent teams for complex, parallel work.
  19. **Ultraathink Keyword**: For difficult problems, use the keyword “Ultraathink” to give Claude more time to think.
  20. **Use Worktrees**: Use worktrees for parallel work on different features of a project to avoid conflicts.

  The video explicitly focuses on Claude (Claude Code) and is better suited for intermediate users.

• Claude Code Has Never Been This Easy!
  3.5.2026, 15:26:48

  The video presents the latest updates to Anthropic’s Claude Code Desktop App, which significantly improves Claude Code usage. Claude Code is a tool that runs on your own computer and has access to a folder to create, read, and execute files. Previously, Claude Code could only be used in a limited capacity in the desktop app, but the update now enables much more comprehensive use. Users can now work directly with Claude Code in the desktop app, view and edit files, and even preview created apps for testing. The video shows how to create a flashcard app by granting Claude Code access to a folder and then describing the app. Claude Code plans and creates the app automatically, with the option to accept or adjust the plan. The desktop app now also features an auto mode where Claude Code executes commands that aren’t dangerous and only asks for permission for riskier commands. Additionally, users can view created files, edit them, and even open the terminal to execute additional commands. The video also shows how to use multiple sessions simultaneously and what limitations still exist, such as displaying images and PDF files. Overall, the desktop app now offers much better overview and functionality for using Claude Code.

  The video explicitly focuses on Anthropic’s Claude Code and is better suited for intermediate users.

• Look Into the Future with This AI Swarm Intelligence (MiroFish)
  26.4.2026, 14:04:17

  The video introduces the open-source project **Mirofisch**, a tool for simulating social dynamics with AI agents. The 20-year-old developer from China created a platform in 10 days that allows you to create virtual people with their own personalities, opinions, and behaviors that interact in a simulated world. Mirofisch uses uploaded context data (e.g., market research reports, product information) and simulates reactions to events like price increases or product launches. The simulation runs in five phases: creating a knowledge graph, generating virtual personas, simulating social media interactions, analyzing results, and deep interaction with agents. The video demonstrates Mirofisch’s application using a fictional app called “Mealmate” that automates meal planning for families. The simulation shows how different target groups react to the product, including price acceptance and potential improvements. The creator also explains how to install and configure Mirofisch locally or on a virtual server, including using OpenAI models and the Z-Cloud database.

  **AI Tools/Models/Providers:** OpenAI (GPT-4, GPT-4.1 Mini), Z-Cloud, Claude Code, Hostinger, Open-Source (Mirofisch) – better suited for intermediate users.

• Simulate the Future with AI #aiagents #ki #ai
  26.4.2026, 14:05:04

  The video introduces the open-source project **Mirofisch**, which creates a simulated world with hundreds of AI agents that interact with each other. Each agent has its own personality, opinion, and biography. The user uploads context material, asks a question (e.g., about reactions to a price increase or a new advertising campaign), and Mirofisch generates virtual people and organizations that discuss this question. At the end, the user receives a detailed report and can communicate directly with each agent. The video shows a demo with a SaaS product idea and explains how to set up Mirofisch yourself in 2 minutes.

  The video focuses on the open-source tool **Mirofisch** and is better suited for **intermediate** users.

• Hermes Agent: The New Self-Improving OpenClaw
  21.4.2026, 13:07:46

  The video introduces Hermes, a new AI agent positioned as a competitor to OpenCla. Hermes was developed by News Research, an AI research lab from New York, and is open source. The main difference from OpenCla lies in Hermes’ “Self Improvement Loop,” an integrated learning cycle that enables the agent to continuously improve itself. This process includes creating and updating skills, saving relevant information in memory files, and analyzing past conversations to create a more comprehensive user profile. The video also shows how Hermes is installed and configured both locally and on a server, and compares the features and benefits of both agents. It’s recommended to try Hermes, especially for users looking for an AI that learns and improves independently.

  **Closing Comment:** The video explicitly focuses on Hermes and OpenCla and is better suited for intermediate users familiar with AI agents and their installation and configuration.

• Claude Design Tutorial: Here’s What Anthropic’s New Tool Can Do
  20.4.2026, 10:24:01

  The video introduces the new design tool **Claude Design** from Tropic, based on the Opus 4.7 model and currently available in research preview. The tool enables creating web apps, landing pages, mobile mockups, pitch decks, and other visual content directly in the browser via prompt. Users can not only use text prompts but also upload images, documents, and website elements. A special feature is the ability to upload or create your own design system, which is then automatically used for all generated designs.

  In the demo, the user shows how to create an interactive neural network with animated data flows. Claude Design asks detailed follow-up questions to refine the prompt and ensure the result meets expectations. The generated design can then be exported in various formats or passed directly to Claude Code to convert it into code.

  The video is a demonstration of the Claude Design tool and is aimed at intermediate users who already have experience with design and AI tools.

Mark Kashef (7 new videos)

• How to Use /goal to Build a Self-Improving OS
  17.5.2026, 15:30:23

  The video introduces the new “/goal” function in Codecs and Cloud Code, which can be used beyond technical tasks for optimizing agentic operating systems (Agentic OS). The author demonstrates five practical use cases: “Clean” (tidying up skills and rules), “Sharpen” (improving skills based on specified criteria), “Revive” (reviving abandoned projects), “Forge” (extracting recurring prompts into new skills), and “Maintain” (automated system maintenance). The video explains how the function works through a goal specification and a separate evaluation agent. The author demonstrates the application with concrete examples and emphasizes the possibility of making your own work environment more efficient.

  The video explicitly addresses the /goal function in Cloud Code and is more suitable for intermediate or advanced users who are already familiar with agentic systems.

• Why 90% of Your Claude Skills Are Dead Weight
  13.5.2026, 20:00:29

  The video addresses the challenges and best practices for using skills in Claude Code. The author criticizes the fact that many users accumulate too many unnecessary or even harmful skills that impair performance. He explains that skills consume tokens and can overload context windows, leading to inefficient and error-prone interactions. The author presents eight tips for optimizing skills:

  1. **Run it cold**: Test whether a vague prompt triggers the correct skill.
  2. **Check the budget**: Ensure the description is precise but not too long.
  3. **Ask user input tool**: Integrate a questionnaire to ensure the skill has all necessary information.
  4. **Copy-related rules**: Add rules for tonality and formatting when the skill works with text.
  5. **Rate the skill**: Have the user rate the skill and request improvements.
  6. **Wrong primitive**: Check whether the skill is the right tool for the task or if it would be better implemented as a rule or CLI command.
  7. **Audit with Claude Code Guide Agent**: Use a predefined prompt to systematically audit and optimize skills.

  The author emphasizes the importance of progressive disclosure and good user experience to make skills efficient and user-friendly. He also shows how to consolidate and test skills to avoid redundancies and improve performance.

  **Closing comment:** The video explicitly addresses Claude by Anthropic and is aimed at intermediate users who already have experience with skills in Claude Code.

• Build Your Agentic OS Better Than The 99%
  9.5.2026, 20:00:14

  The video covers the practical implementation and optimization of agent-based operating systems (Agentic OS) such as Open Claw, Hermes, or Claude Code to achieve real business value. The focus is on the often-neglected “groundwork” behind the scenes that is necessary to implement such systems effectively. The author emphasizes the importance of data readiness and organization before dealing with dashboards or fancy features.

  Key points include the use of skills (both project-specific and global), hooks (event-based automation), and Claude MDs (as central control documents). The author introduces a tool called “Skill/Silver Platter” that helps organize and summarize data to improve the analytical capabilities of agents. Tactical tips are also provided on how to effectively use integrations and APIs to optimize the systems.

  The video presents three case studies (Marco, Sally, and Dr. Sana Anwar) that illustrate how the described methods can be applied in different industries and business models. The author emphasizes the importance of strategically deploying agents and continuously improving them, similar to how you would train and develop employees in a company.

  At the end, the “Skill/Silver Platter” tool is offered for download and a course is referenced that goes deeper into the subject.

  The video explicitly addresses Claude Code and is more suitable for intermediate to advanced users who already have some experience with agent-based systems.

• This Claude Code Setup Runs My Entire Business
  3.5.2026, 19:00:21

  The video presents a detailed demonstration of a custom-built AI operating system (AIOS) that the creator uses for his business. The system consists of a variety of agents, each covering specific tasks and expertise. The core of the system is a “Hive Mind” that serves as a shared memory state and visualizes the activities and knowledge of the agents. The creator shows various views and features of the system, including a 3D and 2D graphical view, a list of all tasks, and a “War Room” feature for interacting with agents via text and voice.

  A practical example is the use of a meta-agent connected to the Meta command line interface to analyze ad performance and generate reports. The system also enables task automation and reminder creation. The creator emphasizes that the system is built on solid data organization and that implementation requires time and iteration. He offers resources and a carbon-copy version of his system, accessible via a link in the video description.

  Closing comment: The video explicitly addresses Claude, OpenAI (Cloud Code), Gemini, and specific tools such as Telegram, Discord, Slack, Loom, and SQLite. It is more suitable for intermediate and advanced users.

• You Can Make Claude + Codex Plan Together. Here's How.
  28.4.2026, 19:00:35

  The video introduces a tool called “Claudeex” that automates collaboration between Claude Code and Codeex to create detailed and well-thought-out plans for projects. The process involves multiple rounds in which Claude Code creates a plan and Codeex reviews it, finds errors, and suggests improvements. Claude Code integrates these suggestions and the process repeats until a predetermined number of rounds is completed. The tool also offers features such as “/review” for manual review, “/cancel” to abort the process, and “/rollback” to completely reset. A practical example shows how Claudeex is used to create a detailed plan for building a special website that tracks user activity. The comparison between a plan created with Claude Code alone and a plan created with Claudeex shows the improved depth and robustness of the latter.

  The video explicitly addresses Claude Code and Codeex and is more suitable for intermediate or advanced users who already have experience with these tools.

• You Can Run Claude AND Codex Together. Here's How.
  26.4.2026, 19:30:32

  The video shows how to combine the strengths of the AI models Claude Code and Codex to achieve better results. An OpenAI plugin is presented that allows Codex to be used as a kind of “sidekick” for Claude Code. The author explains that each model has its own strengths and weaknesses and that combining both models leads to better results. The plugin offers various commands, such as code review, adversarial review, and code rescue, which allow you to review and improve the code from Claude Code. The author demonstrates the use of the plugin in various scenarios, such as reviewing an existing codebase, planning new features, and reviewing code before deployment. He emphasizes that the combination of both models leads to more efficient and effective development.

  Closing comment: The video explicitly addresses Claude Code, Codex, and OpenAI and is more suitable for intermediate to advanced users.

• Master ALL 7 Levels of Claude Code Memory
  22.4.2026, 18:30:28

  The video explains how to create a personalized memory system for Claude Code instead of using pre-built solutions. The speaker emphasizes that each memory system should be unique and tailored to the specific needs of the user. He walks through a three-step process: cloning existing GitHub repositories, comparing and analyzing these repositories using Claude Code, and extracting relevant design patterns and code. The video then shows how to use this information to create a customized memory system tailored to the user’s daily workflows. The speaker emphasizes the importance of continuous adaptation and iteration of the memory system, as requirements and workflows may change over time. Various building blocks for a good memory system are presented, such as identity, critical context, working memory, long-term and episodic memory, as well as mechanisms like decay and promotion of memories. Additionally, a skill called “Memory Architect” is presented, which guides the user through an interview process to create the perfect architecture for their memory system. Finally, the video shows how to integrate this memory system into daily use of Claude Code, including through the use of hooks and auto-injection of memories.

  The video explicitly addresses Claude Code and is more suitable for intermediate users who already have basic knowledge of using Claude Code and are ready to take some more technical steps to optimize their memory system.

Everlast AI (10 New Videos)

• AI Researcher: Forget ChatGPT, THIS is the next breakthrough! World models explained (Daniel Cremers)
  19.5.2026, 15:15:29

  The video is an interview with Professor Dr. Daniel Cremers, a leading expert in the field of artificial intelligence and computer vision. Cremers discusses the development of AI, particularly the breakthrough in image classification in 2015, which he believes was more important than the successes of AlphaGo and ChatGPT. He emphasizes the importance of world models, which enable spatial understanding of the world, and distinguishes these from multimodal language models. Cremers sees major applications for world models in areas such as autonomous driving, robotics, defense, and personalized medicine.

  He criticizes the current focus on national LLMs and foundation models, instead advocating for a diversity of approaches and the development of new methods. Cremers emphasizes the importance of energy efficiency in AI and the need to learn from humans to develop more energy-efficient algorithms. He sees the future in robotics and the integration of AI tools into everyday life to make people’s lives easier.

  The video explicitly addresses AI tools and models from DeepMind (AlphaFold), Nvidia (GPUs), and Google (TPUs), as well as the importance of open-source and research initiatives. It is designed for intermediate and advanced viewers who seek a deeper understanding of AI development and its applications.

• AI News: THIS changes everything! New model, Claude is BACK, Codex in ChatGPT & BCI Interview
  17.5.2026, 08:15:32

  The video covers several current developments and trends in the field of artificial intelligence (AI) and humanoid robots. Here are the main points:

  1. **AI Model Updates**:
  – **Claude**: Increased usage limits by 50% and introduction of a new agent view that allows managing multiple agents in parallel.
  – **OpenAI**: Integration of Codex into the ChatGPT Mobile App, enabling remote control of Codex on desktop and completing tasks from a mobile device.
  – **Thinking Machine Labs**: Introduction of a new model optimized for multimodal input (audio, text, image, video) and capable of making tool calls during conversation.

  2. **Humanoid Robots**:
  – **Figure**: Confirmation of design lock for the next generation of Figure F04 and live stream of a fully autonomous 8-hour shift of Figure 3.
  – **Unitree**: Introduction of a realworld-capable Mecha and Unistore, an app store for humanoid robots.

  3. **AI in Business**:
  – **Anthropic**: Overtakes OpenAI in business adoption and receives investment offers valuing the company at over 900 billion dollars.
  – **OpenAI**: Establishment of OpenAI Deployment Company to help businesses implement AI technologies.
  – **Claude for Small Businesses**: Introduction of a collection of skills and MCP connectors for small businesses.

  4. **Research and Future of AI**:
  – **Professor Dr. Thorsten Zander**: Discusses challenges of AI models, particularly the lack of true world understanding and empathy. He presents passive brain-computer interfaces (BCIs) as a possible solution.
  – **Google IO**: Expectations for the largest Google event of the year, including the introduction of Gemini Spark, a 24/7 agent that completes tasks autonomously.

  5. **AI Business Ideas and Tools**:
  – **Browser Use and Kimy Web Bridge**: Tools that enable proactive agents in the browser and task automation.
  – **Make CLI**: Introduction of a command-line interface for the Make automation platform.
  – **Augustus**: A bank optimized for the AI era, designed for agent-initiated workflows.

  6. **Social Experiment**:
  – An experiment shows that even experts cannot always distinguish between AI-generated and genuine human works, highlighting the importance of quality seals.

  The video explicitly addresses AI models and tools from Claude, OpenAI, Thinking Machine Labs, Browser Use, Kimy, Make, and Augustus. It is designed for intermediate and advanced users as it covers in-depth technical and business aspects of AI development.

• China Insider Reveals: There’s NO going back! THIS is rolling towards us until 2030 (Jörg Wuttke)
  14.5.2026, 15:15:38

  The video provides deep insight into China’s current economic and political situation, particularly in the context of innovation, technology, and demographic challenges. Here are the key points:

  1. **Innovation and Overcapacity**: China has a deep pool of engineers and is leading in many areas such as AI, humanoid robotics, energy, and electric vehicles. However, China systematically produces overcapacity, leading to deflation and economic problems. This is because state-owned enterprises do not disappear from the market even when they make no profits.

  2. **Demographic Challenges**: China is aging rapidly and has a low birth rate. The population is expected to decline to around 500 million by 2060. This leads to a labor shortage, which China intends to offset through the use of AI and robotics.

  3. **Technological Independence**: China seeks to become independent of Western technologies, particularly in the semiconductor field. This is a reaction to the US’s restrictive policy limiting high-tech exports to China.

  4. **Export Pressure**: Due to overcapacity and weak domestic consumption, China relies on exports. This leads to strong competitive pressure on global markets, particularly in Africa, South America, and Southeast Asia.

  5. **Political and Economic Strategies**: China focuses on long-term plans, such as the 15-year plan, to achieve its goals. However, there are also internal challenges, such as population aging and migration from rural areas to cities.

  6. **Corporate Strategies**: Chinese companies are more risk-taking and customer-oriented than their Western competitors. This enables faster development and adaptation to market needs.

  7. **Geopolitical Implications**: The demographic and economic changes in China will significantly affect the global geopolitical landscape. Africa will gain importance as a supplier, while China loses influence.

  The video is better suited for intermediate and advanced viewers as it addresses complex economic and political relationships. No specific AI tools or models are discussed, but rather general trends and strategies.

• AI Experts React: THIS everyone overlooks! Musk’s Claude deal, China’s robot pressure & EU kills AI Act
  12.5.2026, 15:15:26

  The video is a discussion about current developments and trends in the fields of artificial intelligence (AI), technology, and the future. The participants are Professor Dr. Andreas Moring, Professor Dr. Pero Mitic, and Kim Isenberg, who discuss various aspects of AI usage, robotics, automation, and their impact on society and the economy.

  **Main topics and points:**

  1. **AI Models and Infrastructure:**
  – **Anthropic and Elon Musk:** Anthropic now uses Elon Musk’s data centers (Colossus 1 and 2) for its AI models. This is seen as a strategic move, as Musk must rent out his computing power or leave it unused.
  – **Gemini and Apple:** Apple relies on Google Gemini for Siri after negotiations with Anthropic failed. This shows that Apple doesn’t necessarily need the best AI model, but rather one that’s good enough for the mass market.
  – **Humanoid Robots:** Boston Dynamics shows progress in robotics, particularly with the Atlas robot, which can perform complex movements. This underscores the importance of robotics in production, logistics, and service.

  2. **Economic and Political Aspects:**
  – **China vs. Europe/USA:** China is far ahead in many areas of technology and infrastructure, particularly in robotics and AI. Europe, on the other hand, is struggling to keep up, both due to political decisions and economic challenges.
  – **Job Losses from AI:** Companies like Coinbase, PayPal, and Cloudflare are laying off employees and attributing this to AI adoption. It is debated whether these are actually AI-related layoffs or if economic difficulties are the real reason.
  – **Regulation and Data Protection:** The EU is discussing stricter regulations, such as banning VPNs for child protection. This is viewed critically as it is considered a restriction of freedom.

  3. **Healthcare and AI:**
  – **AI in Healthcare:** Google presents studies showing that AI diagnoses are often better than those of doctors. This could revolutionize the healthcare sector, but also raises questions about self-perception and dependence on technology.

  4. **Education and Future Competence:**
  – **Education Systems:** It is emphasized that schools and universities must change to promote judgment and critical thinking rather than just conveying information.
  – **Investments in AI:** Companies should invest in AI to remain competitive. This includes developing AI-based applications and using platforms like Cloud Code.

  **Closing Comment:**
  The video explicitly addresses models and providers such as Claude, OpenAI, Gemini, and open-source solutions. It is designed for an advanced audience that is already familiar with AI and technology and seeks in-depth insights.

• AI News: Claude improves WHILE SLEEPING! Musk saves Anthropic, Codex & GPT Realtime Updates
  10.5.2026, 08:15:10

  The video covers several current developments and updates in the field of artificial intelligence and agentic coding. Here are the key points:

  1. **Elon Musk’s SpaceX Deal with Anthropic**: The deal doubles the 5-hour usage limit in Cloud Code, while weekly limits remain unchanged. This is part of a partnership where Anthropic runs cloud models on SpaceX’s Colossus-1 supercomputer.

  2. **Gemma 4**: Google’s open-source model is now three times faster through multitoken prediction (MTP Drafter). It can be used in Cloud Code, though with performance limitations.

  3. **Cloud Managed Agents**: Updates include multient sessions, webhook integration, and the new “Dreaming” function, which addresses the memory problem of agents. This function was discussed with Vincent Pistor from Cogni, a startup specializing in agent memory.

  4. **Gemini Updates**: Google Gemini receives new features such as skills and scheduled actions. Additionally, Gemini 3.1 Flashlight has been made publicly available, a cost-effective model for high-volume tasks.

  5. **Codex Cloud vs. Cloud Code**: Codex Cloud has dramatically caught up in downloads and offers new features such as a Chrome extension for browser automation.

  6. **Comparison of Remotion and Hyper Frames**: Both tools enable the creation of videos and animations via text prompt. Hyper Frames offers a faster start and more reliable results, while Remotion is better suited for scaling.

  7. **OpenAI’s Realtime 2 Model**: This model is designed for agentic tasks and enables better integration into software and user interfaces. It is the engine behind ChatGPT’s Advanced Voice Mode.

  8. **AI Business Idea of the Week**: The app store sees a dramatic increase in apps, which is attributed to the growing importance of agentic coding. Companies like Mercedes use agents to streamline their IT infrastructure.

  The video explicitly addresses OpenAI, Gemini, Cloud Managed Agents, Codex, Remotion, Hyper Frames, and specific tools like Cogni. It is designed for intermediate and advanced users who want to engage with the latest developments in the AI world.

• “You’ll be in for a surprise” Robotics Professor on China, Humanoids & the Future
  7.5.2026, 15:15:00

  The video is an interview with Alexander von Everlast AI about the current state and future of humanoid robotics, particularly focusing on the robot assistant Gami from TU Munich. Main topics include the exponential development of robotics, the integration of Visual Language Action Models (VLAs), challenges in robot manipulation and sensitivity, as well as ethical and legal questions about AI liability. Alexander emphasizes the importance of design and interaction design for public acceptance of robots and discusses the role of open source and proprietary solutions in robotics. He sees major progress in simulation and collective robot learning, but warns of challenges in security and liability. The video explicitly addresses models and providers such as Nvidia (Omniverse, Kosmos) and emphasizes the importance of basic research and industrial applications. It is designed for intermediate and advanced viewers as it contains in-depth technical and ethical discussions.

  Closing comment: The video explicitly addresses Nvidia (Omniverse, Kosmos) and is designed for intermediate and advanced viewers.

• Robotics Expert: Forget Humanoid Robots! THIS will actually happen (Dr. Hendrik Susemihl)
  6.5.2026, 15:15:00

  The video is an interview with Dr. Hendrik Susemil, founder of Goodbites, a company that develops fully autonomous robot kitchens. Goodbites produces over 50,000 meals daily and won the Robotics Award 2026 at Hannover Messe. The company supplies autonomous robot kitchens to the US Army and is the world leader in this field.

  Hendrik Susemil discusses the importance of Physical AI, that is, AI that receives a physical body, and how this will fundamentally change our daily lives. He explains why cooking is harder to automate than factory work and how Goodbites won the US Army as a customer. He also addresses Germany’s role in the global robotics race and emphasizes the need for risk-taking and quick action to keep pace with the US and China in competition.

  Susemil emphasizes that while Germany is technologically leading, it lacks the ability to build global companies. He stresses the importance of speed and experimentation, as well as the need for risk-taking to keep pace in competition. He sees the biggest mistakes of German companies in being too passive and not experimenting enough.

  In summary, the video discusses the importance of Physical AI and Germany’s role in the global robotics race. It emphasizes the need for risk-taking and quick action to keep pace in competition.

  The video addresses specific tools and providers such as Goodbites and is designed for intermediate and advanced users.

• Don’t use Codex until you’ve watched this video! (The ChatGPT SuperApp)
  5.5.2026, 15:15:00

  The video shows 34 tips and tricks for using Codex, a new SuperApp from OpenAI that is intended to replace ChatGPT. Here are the key points:

  1. **Basics**: Codex can be used like ChatGPT but offers additional features such as direct access to local folders and files.
  2. **How it works**: Codex can access local folders directly and edit files, which is a major advantage over ChatGPT.
  3. **Excel tables**: Codex can create and edit Excel tables directly in local folders.
  4. **Design customization**: The Codex interface can be customized to individual needs, including font size, color scheme, and typeface.
  5. **Skills and Plugins**: Codex offers various skills and plugins that extend functionality, such as creating Word documents and PDFs.
  6. **Subagents**: Codex can use multiple subagents simultaneously to work on complex tasks and manage context.
  7. **Browser and Computer Use**: Codex can control the browser and local applications, making task automation easier.
  8. **Automations**: Codex can set up automations to complete recurring tasks.
  9. **Chronicle Research Preview**: A feature that builds reminders and context based on daily workflows.
  10. **Open Source**: Codex is open source, allowing users to add additional functionality.

  The video is designed for intermediate users and explicitly addresses Codex, OpenAI, and specific tools like Remotion and Paper.

• AI News: Codex “Goal” works FOR DAYS, Claude takes over ADS, Opus 4.7 hacked & OpenAI “Goblins”
  3.5.2026, 08:15:00

  The video covers various current developments and trends in AI technology. It begins with the introduction of Project Deal by Enhropic, which enables trading between AI models and allegedly caused eBay to crash. Additionally, the new Codex Goal function is presented, which allows AI agents to work autonomously for several days. New features from Gemini and Cloud Code, which are directly integrated into CAD software, are also mentioned. The token problem of Cloud Code is pointed out, which has been officially confirmed, while OpenAI is massively subsidizing Codex.

  Another focus is on the security of AI systems. Johann Rehberger, a renowned AI security researcher, demonstrates how to manipulate the memory of Cloud Opus 4.7 with a ChatGPT image. He also discusses security vulnerabilities in Cloud Cowork and other attack vectors.

  The video also presents the new Meta CLI, which allows managing advertising completely via AI agents. It is shown how to use this tool to analyze campaigns and create new creatives.

  Additionally, updates in Microsoft 365 and open-source alternatives to American AI tools such as MicS for the legal field are presented. The video ends with a discussion of AI job losses and the impact of AGI on the job market, based on statements by Demis Hasabis and a discussion with Professor Peromitsicit and Professor Dr. Andreas Moring.

  **Closing comment:** The video addresses OpenAI, Cloud Code, Gemini, Codex, and specific tools like Meta CLI and is better suited for intermediate and advanced users.

• The End of Work: Why 80% will lose their jobs & what comes next (Post-Labor Economy)
  30.4.2026, 15:15:00

  The video is a discussion about the impact of AI and automation on the world of work and society. The participants are Professor Dr. Pero Mitic, Professor Dr. Andreas Moring, and Kim Isenberg, moderated by Leo.

  The discussion begins with the thesis that AI and robotics will massively replace jobs in the coming years, potentially leading to a post-labor society. It is argued that this affects not only entry-level jobs but also highly qualified professions such as lawyers and doctors. The participants discuss various scenarios, including a horror scenario with social unrest and a permanent underclass, a crisis scenario with transition difficulties, and an abundance scenario where AI and robotics lead to a life of plenty.

  Various solutions are discussed, including universal basic income (UBI), universal basic services, robot taxes, and the promotion of worker ownership. The participants agree that redistribution of wealth is necessary to prevent social unrest. They also discuss the role of AI in science and the possibility that AI gains new scientific insights.

  The discussion ends with the question of how to get the topic out of the AI bubble and into broader society. It is suggested that each individual should take the first step and discuss the topic in their own circle.

  **AI Tools/Models/Providers:** Claude, OpenAI, Gemini, open-source, specific tools such as Cursor, Lovable, Cline, n8n, etc.
  **Target audience:** Intermediate to advanced.

No Priors: AI, Machine Learning, Tech, & Startups (8 new videos)

• Pax Silica: Inside the Trump Administration’s Tech Strategy with Jacob Helberg
  14.5.2026, 10:01:32

  This video is an interview with Jacob Helberg, Under Secretary of State for Economic Affairs, about the “Pax Silica” initiative. This initiative is an economic security coalition aimed at securing the AI supply chains of the US and its allies. Helberg explains that Pax Silica pursues an ecosystem-based approach and already encompasses 14 countries. A central project is the establishment of a “forward-deployed industrial base” in the Philippines, where 4,000 hectares of land are to be used for industrial development. This zone is intended to offer a combination of the American legal system and Philippine industrial advantages.

  Helberg emphasizes the importance of collaboration with the private sector, as the US does not want to rely on state-operated supply chains. Instead, the initiative should create commercially viable platforms that can also function independently of the state. The initiative aims to reduce dependence on China and diversify supply chains, particularly in areas such as robotics and rare earth elements.

  The video also addresses the differences between American strategy and China’s Belt and Road Initiative, with Helberg highlighting the advantages of the American approach, which relies on partnerships with the private sector and ethical business practices. He emphasizes the importance of innovation and the role of private capital in solving supply chain problems.

  The video is better suited for intermediate and advanced audiences and does not address specific AI tools or models, but instead focuses on political and economic strategies.

• Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman
  11.5.2026, 10:01:04

  **Summary:**

  Long Lake Management, a company specializing in acquiring and transforming companies through AI, recently announced its intention to acquire American Express Global Business Travel (AmEx GBT) for $6.3 billion. This would be the first AI-driven takeover of a publicly traded company. Long Lake has already acquired 30 companies and transformed them with its Nexus AI platform. This platform automates workflows, improves employee productivity, and drives company growth.

  Alex Topman, CEO of Long Lake, explains that the Nexus platform shares approximately 80% of its infrastructure across various industries and can be deployed within days of an acquisition. This results in immediate margin increases and growth. Long Lake focuses not on cost reduction, but on growth and customer experience. Through AI-driven automation, employees can serve more customers, leading to higher organic growth rates.

  Topman emphasizes that Long Lake doesn’t just sell software, but acquires companies to build deeper business relationships and achieve better results. This enables closer collaboration between employees and engineers, leading to better solutions and faster innovation. Long Lake aims to be the best employer in every industry it operates in, thereby attracting talented employees.

  The acquisition of AmEx GBT exemplifies Long Lake’s long-term strategy of acquiring companies and holding them for the long term rather than selling them in the short term. Topman views AI as a positive-sum game that benefits both employees and customers.

  **Closing Comment:**
  The video covers Long Lake Management and its Nexus AI platform used for transforming companies. It is better suited for intermediate and advanced audiences as it focuses on complex business strategies and AI applications.

• Cheaper AI Does the Opposite of What You’d Expect
  6.5.2026, 13:06:28

  The video discusses the effects of cost reduction on demand for artificial intelligence and its efficiency. The main idea is that lowering the cost of AI models increases demand, as both consumers and developers integrate more intelligence into their applications. Consumers strive for the best answers and experiences, while developers build in more intelligence when AI models are cheaper. This leads to longer and more complex AI agents that provide better user experiences. Ultimately, this results in higher revenues and more investment in AI.

  The video explicitly addresses AI models in general and is aimed at an intermediate audience.

• Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud
  1.5.2026, 15:07:25

  The video is a conversation with Tuhin Stuba, founder and CEO of B10, an AI inference cloud. Main topics include capacity constraints for AI compute, the importance of inference, the development of workloads, the future of open-source models, and scaling B10.

  Tuhin Stuba explains that demand for AI inference has risen sharply as companies deploy AI in more and more areas. He emphasizes the importance of the application layer, which is protected by specific workflows and user signals that only certain companies can collect. He sees a great future for AI applications, both for new companies and for enterprises using AI in-house.

  Another focus is the development of open-source models. Stuba emphasizes that customers want the best models and that costs are optimized only after capability. He views the use of open-source models from China as positive but warns against dependency on a single provider and emphasizes the need for the US to develop its own open-source models.

  Stuba also discusses challenges in procuring compute capacity and the strategic importance of inference. He emphasizes the importance of the software layer for the stickiness of inference services and the need to close the loop between inference and post-training.

  He also mentions the importance of multi-chip worlds and the need to understand the workloads that need investment, such as code agents and long-horizon agents.

  Closing Comment: The video explicitly addresses open-source models and specific tools like Bridge, Cursor, and Open Evidence. It is better suited for intermediate and advanced audiences.

• AI Replacing Jobs is the Wrong Narrative
  29.4.2026, 18:16:32

  The video discusses the impact of AI tools like Codex and Cloud Code on the workplace, particularly in financial shared service centers. It argues that these tools will elevate the work of developers and other professionals to a higher level. Instead of writing much code themselves, they will increasingly take on tasks such as supervision, providing feedback, code reviews, and planning future requirements. Every role and level will be “upleveled” in this way, as daily routine tasks are delegated to AI agents. The focus shifts toward more strategic and creative activities.

  The video explicitly addresses AI tools like Codex and Cloud Code and is aimed at intermediate and advanced audiences.

• The One Constant in Software
  25.4.2026, 17:54:42

  In the 1970s, when SAP’s founders were still working at IBM, they repeatedly implemented financial systems for different customers. They quickly realized that this approach was not economically scalable. Instead, they developed a solution that could manage companies end-to-end, from mainframes through client-server systems to the internet, mobile devices, and now AI. While software has evolved over time, the primary goal of customers remains the same: achieving concrete results. AI is now being used as a technology to achieve these results more efficiently while simultaneously redesigning the entire system.

  The video addresses SAP and AI in the enterprise context, better suited for intermediate or advanced audiences.

• SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig
  23.4.2026, 10:00:18

  The video is an interview with Philip Herzig, CTO of SAP, in which he discusses SAP’s AI strategy, the challenges of scaling, the importance of AI for business models, and the future of enterprise software. Herzig emphasizes that SAP has endured through multiple technology cycles because the company has focused on delivering results for customers. He explains that SAP offers the broadest range of enterprise software applications and platforms, ranging from financial and HR systems to supply chain and logistics management. Herzig also discusses the integration of AI into SAP’s products and the need to design AI to be scalable and secure. He mentions that SAP has already introduced products like “Jewel for Consulting,” which can increase consultant efficiency by 30%. Herzig sees three main areas where AI will massively change enterprise software: user interfaces, business processes, and the data layer. He emphasizes that the greatest challenge is designing AI to deliver the right results in the enterprise. Herzig also speaks about the importance of verifiable results and the need to design AI so it can be integrated with existing systems and data. He sees great opportunities in combining structured and unstructured data to make better decisions and automate business processes. Herzig believes AI will fundamentally change how companies operate by automating repetitive tasks and enabling employees to focus on more strategic tasks. He sees SAP well-positioned to benefit from this change because the company focuses on delivering results for customers and has a flexible architecture that enables AI integration. Herzig emphasizes that the biggest challenges for companies in adopting AI are data integration, scaling solutions, and system security. He sees SAP well-positioned to address these challenges because the company has a broad range of applications and platforms already in use in many enterprises.

  The video explicitly addresses SAP and OpenAI and is better suited for intermediate and advanced audiences.

• Cybercrime Costs the World $1 Trillion A Month
  20.4.2026, 13:40:33

  The video discusses the importance of cybersecurity in the context of the global economy, mentioning the US and China as the world’s largest economies. Cybercrime is described as a problem with a volume of one trillion dollars per month. The integration of Armis into ServiceNow is intended to enable companies to comprehensively monitor both IT and OT (Operating Technology) systems. This includes networks with connected devices, manufacturing facilities, medical devices, and critical infrastructures such as banks. The solution aims to unite all these aspects in an automated AI platform, presented as compelling for companies’ realignment.

  The video explicitly addresses the integration of Armis into ServiceNow and is aimed at intermediate to advanced users in the cybersecurity and IT management space.

Nic Conley (2 new videos)

• How I’d Actually Sell AI to Small Businesses in 2026 (Twin.so Tutorial)
  19.5.2026, 15:56:56

  The video showcases the Twin tool, promoted as particularly useful for building AI Agents. The creator demonstrates how to build AI Agents for various business processes with Twin without requiring deep technical knowledge. Three concrete use cases are demonstrated:

  1. **Facebook Marketplace Monitoring Bot**: An agent that searches daily for affordable lawnmowers near the user and sends an email with the results. The agent uses integrated tools like Appify and Perplexity to complete the task without requiring the user to set up separate APIs or subscriptions.

  2. **AI Readiness Quiz**: A questionnaire that helps small businesses assess how well-prepared they are for implementing AI technologies. The agent creates a personalized report with recommendations for suitable AI tools and saves the results for the user.

  3. **Cash Buyer Builder**: An agent that searches county deeds for recent cash purchases to create a list of potential buyers for real estate investors. The agent collects contact information and displays it in a dashboard.

  The creator emphasizes Twin’s simplicity and efficiency since it requires no complex setup processes and already has many tools and integrations built in. He sees great potential in offering such agents to small businesses and building a business around them.

  **Final Note**: The video explicitly focuses on the Twin tool and is aimed at intermediate and advanced users.

• Easiest Hermes Agent Setup (better than OpenClaw)
  21.4.2026, 13:38:32

  The video compares two open-source AI Agents: OpenClaw and Hermes, developed by Nous Research. The main difference is that the Hermes Agent has a built-in learning loop that makes it smarter over time and adapts its capabilities to the user’s workflow. In contrast, OpenClaw often forgets previous tasks and starts fresh each session, which can be frustrating. Both agents can run on personal machines or a VPS and be accessed through chat apps like WhatsApp or Telegram. However, OpenClaw has a larger ecosystem with over 247,000 GitHub stars and more than 700 community skills, while the Hermes Agent is ready to use out-of-the-box with 40 integrated tools already included. Another advantage of the Hermes Agent is its higher security, since integrated skills don’t come from third parties and are therefore less vulnerable to malware. However, the Hermes Agent is a newer project that hasn’t been tested as extensively as OpenClaw. The video also shows how to set up the Hermes Agent on a VPS and connect it to Telegram to use as a personal assistant. The Hermes Agent can automate tasks that would normally be performed by an employee, such as researching events for a newsletter. The Hermes Agent is suitable for intermediate and advanced users seeking a powerful, learning-capable AI solution, while OpenClaw is better for technically savvy users who prefer a larger ecosystem and more customization options.

Tech With Tim (10 new videos)

• Stop jumping straight into building and spend 10 minutes planning first 🧠
  19.5.2026, 19:17:02

  The video addresses the neglect of the Software Development Life Cycle (SDLC) in modern software development. Many developers skip fundamental phases like planning, user story creation, requirements analysis, and technology stack decisions, jumping directly into development. This often leads to problems when the chosen architecture proves unsuitable for future features. The speaker emphasizes the importance of investing time in pre-planning and asking yourself the questions you would ask an external developer before starting implementation.

  The focus is on the significance of planning and fundamental SDLC phases to avoid long-term issues. The video targets developers who want quick results but skip the basic steps of software development.

  Final comment: The video covers general software development principles and is better suited for intermediate and advanced developers who already have experience with rapid development cycles.

• Did you know you can swap any two variables in Python without a temp variable? 🔥
  18.5.2026, 23:04:20

  The video showcases some fun Easter eggs in Python. When attempting to import the `braces` module from the `future` or `__future__` module, you get a custom exception with the message “not a chance”. Another example is importing the `anti-gravity` module, which opens a webpage featuring a Python-related comic. These Easter eggs are little surprises designed to make programmers smile.

  The video covers Python and is better suited for intermediate or advanced users.

• Did you know you can join any Python list into a string in just one line? 🔥
  18.5.2026, 14:00:02

  The video explains how to create a comma-separated string from a list or iterable object using the `join` method. You define a separator (in this case a comma and space) that connects the list elements. Since the list may contain non-string values, the `map` function converts all elements to strings before joining them together. The example demonstrates how to convert a list of numbers into a comma-separated string.

  The video covers basic Python methods like `join` and `map` and is better suited for beginners.

• Devin AI Is the Future of Coding… Full Tutorial
  18.5.2026, 13:02:48

  The video provides a comprehensive guide to Devin, an AI tool for software development that can run both locally and in the cloud. It begins with installing and setting up Devin for Terminal, a CLI-based tool that runs in your local development environment. You can use Devin for simple tasks like creating a landing page or modifying code. The guide shows how to select different models, manage sessions, and use sub-agents to handle parallel tasks.

  Next, Devin Cloud is introduced, which executes tasks on a virtual machine in the cloud. You can hand off tasks from your local environment to the cloud and let it handle long-term or complex tasks without burdening your local machine. The video also demonstrates how to integrate Devin with GitHub to create and review pull requests, as well as how to connect it with Linear and Slack to manage tasks directly from these platforms.

  In summary, the video shows how Devin can be used as a complete ecosystem for software development, from local code editing to automated task processing in the cloud. It’s particularly useful for developers who want to increase productivity and automate repetitive tasks.

  The video explicitly covers Devin (Cognition), a tool suited for intermediate and advanced users.

• Mid level AI engineers are making up to $220,000 a year and demand is only growing 🔥
  16.5.2026, 15:45:02

  The video discusses salary structures and demand for mid-level professionals in Machine Learning (ML). The salary range is between $155,000 and $220,000 per year. Engineers with 3 to 5 years of practical experience are particularly in demand because they can implement production models independently without oversight. These professionals are more cost-effective than senior or staff engineers, making them attractive to many companies. However, there is high demand and low supply, leading to strong growth in this field. Tasks include working on production AI systems, integrating Large Language Models (LLMs) into real-world applications, and collaborating with various teams. A key focus is how to deploy, scale, and implement models in real environments, not just in notebooks.

  The video covers general market trends and salary structures in the ML field without naming specific AI tools or models, and is aimed at intermediate-level professionals.

• monday.com’s AI Agents Are Actually Insane
  16.5.2026, 12:00:10

  The video introduces two new AI agents from monday.com that automate project work. The first agent, “Project Analyzer”, acts as a tireless project manager organizing sprints, prioritizing bugs, mapping task dependencies, and creating stand-up summaries. It can even predict delays and conflicts. The second agent, “Research Assistant”, automatically gathers data from the web, such as competitive analysis and market trends, and delivers clean summaries. Both agents leverage the full context of your business processes, making their outputs specific and relevant. The video particularly recommends that project managers and development teams try out the Project Analyzer.

  (Explicitly mentioned: monday.com; Target audience: Intermediate to Advanced)

• Every great AI engineer is a software engineer first 💻
  15.5.2026, 18:01:00

  The video argues that many people entering AI software development neglect fundamental software engineering principles. They often skip theoretical foundations and jump directly into AI development without first learning to write clean code or acquiring basic programming skills. This results in messy scripts, missing tests, lack of version control, and an unstructured approach, ultimately leading to software deployment issues. AI engineering is presented as a specialization within software engineering where traditional software engineering tasks like setting up APIs, backend services, writing tests, code reviews, and managing deployments are crucial. Without knowledge of clean Python code, Git, and project structuring, developers will encounter long-term obstacles and cannot build useful applications.

  The video covers fundamental software engineering principles and is better suited for intermediate and advanced developers.

• AI Web Scraping Is Insanely Good | Browserbase Full Tutorial
  15.5.2026, 15:19:07

  The video introduces Browserbase, a platform that enables AI agents to connect with remote browser sessions for web automation. Browserbase offers an alternative to traditional tools like Playwright or Selenium by providing an AI-powered interface that uses natural language for automating browser actions. The platform solves many typical web automation problems, such as IP bans, rate limits, and captchas, by using an agent identity that works with Cloudflare and other captcha providers. The video provides a step-by-step guide on how to integrate Browserbase with AI agents like Claude Code or Open Claw, as well as code examples in Python and TypeScript demonstrating use of the Stagehand SDK. Various features are shown including extracting information, observing actions, and executing complex workflows. The benefits of Browserbase are highlighted through comparisons with traditional automation tools, particularly its ability to reliably automate dynamic and complex websites.

  The video explicitly covers Browserbase and Stagehand SDK tools and is better suited for intermediate and advanced users.

• This is how Codex turns raw data into a full CEO presentation in minutes 🤯
  14.5.2026, 15:30:12

  The video demonstrates how to use Codex, an AI tool, to research, analyze, and visualize data, as well as create presentations. Specifically, it shows how to research the top 100 tech and AI creators, compile their average views, subscriber counts, and other key information in a table, and then create various charts and graphs. Subsequently, the video demonstrates how to convert this data into a five to seven-page PowerPoint presentation suitable for presenting to a CEO. The resulting presentation is well-formatted and appears professional, even if not perfect.

  The video explicitly covers Codex and is better suited for intermediate users who already have basic knowledge of using AI tools.

• I asked Codex to open Spotify and play a song and it just did it on its own 🤯
  13.5.2026, 15:30:20

  The video showcases the “Computer Use” feature in a specific plugin that allows an AI to take complete control of a computer and perform actions normally done by a user. The user enables this feature through plugin settings and can then issue specific commands by tagging “computer”. In the demonstration, the AI is instructed to open Spotify and play Drake’s most popular song. The AI executes these steps by moving the cursor, clicking on the song, and starting playback. Although the execution is somewhat slow, the AI’s ability to act like a human user is highlighted as impressive.

  The video covers specific plugins and is better suited for intermediate users already familiar with basic AI and plugin functionality.

NeuralNine (10 new videos)

• Pixi: The Package Manager For Everything
  18.5.2026, 16:01:32

  The video introduces the Pixi package manager, a system-wide package management tool for Linux, Mac and Windows that manages both language packages (e.g. Python, Rust) and system dependencies (e.g. FFmpeg, OpenSSL). Pixi is based on Conda-forge and offers features like lock files for reproducible environments. The tutorial section demonstrates Pixi installation, project creation, adding dependencies (Python, Pillow, ImageMagick) and using them in a Python script. It also shows how to use Pixi for Rust extensions in Python without needing separate tools like Cargo or pip. Finally, the creation of custom tasks in Pixi is demonstrated to simplify long commands. The speaker emphasizes Pixi’s advantages over other package managers, particularly unified dependency management and creation of reproducible environments.

  Final comment: The video explicitly addresses the Pixi package manager, which is based on Conda-forge and written in Rust. It’s aimed more at intermediate and advanced users who already have experience with package managers and various programming languages.

• Fully Autonomous n8n Coding Agent
  17.5.2026, 10:16:17

  The video demonstrates two n8n workflows that automate the integration of GitHub, Slack and a local script. The first workflow is triggered when a GitHub issue is created. It executes a script on the user’s PC and sends a success message via Slack. The second workflow takes a Slack message, processes it through an AI agent, creates a GitHub issue from it and sends a confirmation message. In the demonstration, a GitHub issue is created requesting the first 10 Fibonacci numbers to be added to the readme.md. The user then receives a Slack message and a pull request with the implemented change. The second workflow shows how a Slack message is converted into a GitHub issue requesting a minimal Flask application.

  The video explicitly addresses n8n and is aimed more at intermediate users who are already familiar with workflow automation.

• This is the most useful n8n workflow I have ever built…
  15.5.2026, 16:00:28

  The video demonstrates how to build a fully autonomous AI coding agent with N8N, Claude Code (Anthropic’s), OpenAI and GitHub. The agent can be triggered via Slack or GitHub issues to make changes to a repository, commit them and create a pull request. The process involves two N8N workflows: one for GitHub issues and one for Slack messages. The first workflow is triggered by the creation of a GitHub issue, executes a Python script that uses Claude Code in headless mode to implement the changes, and sends a success message via Slack. The second workflow takes a Slack message, converts it with an OpenAI agent into a GitHub issue and triggers the first workflow. The video shows the setup of N8N, creation of the workflows and integration of GitHub, Slack and the AI agents.

  The video explicitly addresses N8N, Claude Code (Anthropic’s), OpenAI, GitHub and ngrok. It’s more suitable for intermediate and advanced users.

• JavaScript Crash Course: Full Beginner Tutorial
  13.5.2026, 16:01:18

  The video provides a comprehensive introductory course in JavaScript, focusing on the fundamentals of the programming language rather than its use in HTML for animations. It covers the following topics:

  1. **Introduction and setup**:
  – Installing Node.js for running JavaScript files.
  – Creating a simple “Hello World” application with `console.log`.

  2. **Variables and data types**:
  – Defining variables with `let`, `var` and `const`.
  – Differences between `let` and `var` (block vs. global scope).
  – Basic data types like numbers, strings, booleans and special values like `undefined`, `null`, `Infinity` and `NaN`.

  3. **Operators**:
  – Arithmetic operators (addition, subtraction, multiplication, division, modulo, exponentiation).
  – Assignment operators and increment/decrement operators.
  – Comparison operators and logical operators.

  4. **Conditional statements**:
  – `if-else` statements and `switch-case` statements.
  – Processing user input with the `readline` library.

  5. **Loops**:
  – `while` and `do-while` loops.
  – `for` loops, including iteration over arrays.
  – Loop control statements like `continue` and `break`.

  6. **Functions**:
  – Defining and calling functions.
  – Parameters and return values.
  – Anonymous functions, lambda expressions and functions with variable number of parameters.
  – Functions as first-class objects and callbacks.

  7. **Data structures**:
  – Arrays: creating, accessing elements and iteration.
  – Maps (dictionaries): key-value pairs and accessing values.
  – Sets: simple collection of unique values.

  8. **Objects and classes**:
  – Defining objects with shorthand notation and with classes.
  – Using constructors and methods.

  9. **JavaScript in HTML**:
  – Embedding JavaScript in HTML files and interacting with the DOM.

  The video is suitable for beginners who have basic programming knowledge and want a quick overview of JavaScript as a programming language. No specific AI tools or models are covered.

• ONNX: The PDF Format For Neural Networks
  11.5.2026, 16:00:44

  The video introduces the ONNX format (Open Neural Network Exchange), which serves as a PDF-like format for neural networks. The author demonstrates how to train models in PyTorch and TensorFlow, export them to ONNX format, and then use them with ONNX Runtime without the original frameworks. Both simple and more complex models, such as an MNIST classifier, are demonstrated. The video also shows how to download and use models from Hugging Face in ONNX format. The focus is on reducing dependency on specific frameworks and increasing interoperability.

  **Final comment:** The video addresses ONNX, PyTorch, TensorFlow, Hugging Face and ONNX Runtime and is suitable for intermediate users.

• Why you should start creating tech content…
  10.5.2026, 11:04:45

  The video outlines three main benefits of teaching and sharing knowledge in the tech field. First, teaching forces deep understanding of the material, because you need to be able to explain concepts clearly and simply—similar to the Feynman Technique. Additionally, you can combine learning new technologies with teaching to continuously expand your own skill set. Second, a portfolio of videos, blog posts or GitHub repositories signals proactivity and discipline, which is particularly advantageous in times of job market uncertainty. It can even help bypass application processes. Third, a certain reach opens doors, as a large audience is often associated with expertise and trustworthiness, leading to more offers and collaborations. The speaker emphasizes that while this shouldn’t be the main driver, it is an important side effect.

  The video doesn’t address specific AI tools or models and is aimed at intermediate and advanced tech enthusiasts considering sharing their knowledge.

• OpenClaw: Simple VPS Setup Guide
  8.5.2026, 16:00:03

  The video provides step-by-step instructions for setting up Open Claw on a virtual private server (VPS) with Ubuntu. The focus is on speed and simplicity, with installation and connection to Telegram being central. The process includes system updates, installation of the Node Version Manager (NVM) and Node.js, installation of Open Claw via npm, and completion of the onboarding process. OpenAI is selected as the model provider and Telegram as the communication channel. The user creates a bot via the Bot Father in Telegram and connects it with Open Claw. After setup, the bot’s functionality is demonstrated by creating and editing a shopping list. The video warns of the security risks of Open Claw and recommends running it in an isolated environment.

  The video explicitly addresses Open Claw, OpenAI, Telegram and NVM, and is aimed more at intermediate users.

• Coding Slack Bots in Python: Quick Start Guide
  4.5.2026, 16:00:21

  The video shows how to create a simple Slack bot with Python that can respond to messages and execute commands. The focus is on quickly implementing a minimum viable product (MVP). Here are the main steps:

  1. **Create Slack app**:
  – Log in to Slack and create a new app via the Slack API.
  – Enable Socket Mode and assign necessary permissions.
  – Generate and store the Socket token in a `.env` file.

  2. **Create bot token**:
  – Add bot token scopes for chat functionality.
  – Enable event subscriptions to respond to messages.
  – Create a slash command (e.g. `/add` for simple calculations).
  – Install the app in the Slack workspace and store the bot token in the `.env` file.

  3. **Set up Python project**:
  – Install required packages (`python-dotenv` and `Slack-Bolt`).
  – Set up the `.env` file with Slack tokens.

  4. **Implement bot functionality**:
  – Simple response to the message “hello” with the username.
  – Implementation of the slash command `/add` for simple additions.
  – Response to general messages with a standard reply.

  5. **Connect bot to a language model**:
  – Install the `openai` package.
  – Integration of GPT-4O to respond to bot mentions and generate answers.
  – Update event subscriptions for the mention feature.

  The video concludes with a demonstration of how the bot responds to mentions and answers questions, including generating Python code.

  **Final comment**: The video explicitly addresses the use of OpenAI (GPT-4O) and is aimed more at intermediate users.

• How to stay up-to-date in AI/ML?
  3.5.2026, 22:40:53

  The video offers strategies for efficiently staying up to date with current developments in AI and machine learning. The author recommends investing about 15 minutes daily to follow relevant news. This includes reading Hacker News, following YouTube channels like “Fire Ship” for quick updates and “AI Explained” for in-depth analysis, as well as engaging in communities and with like-minded people. These methods allow you to filter relevant information and obtain it selectively without being overwhelmed by an information overload. The author emphasizes that this routine is sufficient to not miss the most important news.

  The video doesn’t address specific AI tools or models and is aimed at intermediate users who already have basic knowledge in AI and machine learning.

• FastEmbed: Local AI Embeddings in Python
  1.5.2026, 16:00:07

  The video introduces **FastEmbed**, a Python library for working locally with embedding models, optimized for speed and simplicity, even on systems without dedicated GPU. It’s particularly suitable for fast and lightweight embedding generation, uses ONNX Runtime and offers specific, high-performance models, although not all state-of-the-art models.

  The tutorial section demonstrates the installation and usage of FastEmbed for text and image embeddings. Example sentences are created for text embeddings, embedded and similarities calculated. For image embeddings, two images are embedded and the results displayed. Additionally, the integration of FastEmbed into Qdrant is demonstrated, a vector store that uses FastEmbed for embedding data.

  Finally, using FastEmbed with GPU support is explained, showing installation and configuration for CUDA GPUs. The video concludes with the finding that FastEmbed is well suited for prototyping and lightweight use cases, but doesn’t support all state-of-the-art models.

  **Final comment:** The video explicitly addresses **FastEmbed** and **Qdrant** and is aimed at **intermediate** users.

Bart Slodyczka (6 new videos)

• What is Local AI and is it good? #localai #opensource #aiagents
  5.5.2026, 02:00:45

  The video explains the differences between cloud-based AI and local AI. Cloud AI, such as ChatGPT or Claude, processes requests on external servers, which raises privacy concerns and incurs costs. Local AI, on the other hand, is installed on your own device and processes data offline, providing privacy and cost savings, but often comes with slower and less powerful models. The speaker emphasizes that local AI can be useful for private or business purposes, but for many applications, more powerful cloud-based AI models are preferable.

  The video discusses Claude, ChatGPT, and local models such as Gemma 4, and is aimed at intermediate users.

• LM Studio Is Getting Insane — Start Using It Now
  4.5.2026, 11:31:00

  The video shows how to run AI models locally on your own computer using LM Studio. LM Studio is a free desktop app that allows you to search, download, and use various AI models. The video explains how to check your computer’s compatibility with the models, download models, and load them into LM Studio. It demonstrates how to communicate with the models in a chat-like interface, upload PDFs, analyze images, and perform web searches. Additionally, it shows how to integrate the models with other business tools such as Claude Code, OpenClaw, or Hermes Agent. The difference between cloud-based AI and local AI is explained, with local AI being private and free but often slower and less powerful. The video also covers technical aspects, such as using Node.js and configuring MCP Tools (Model Context Protocol) for integrating external tools. Finally, it shows how to integrate a local AI model into the Claude Code app.

  The video explicitly covers LM Studio, Gemma 4, Claude, Node.js, and MCP Tools, and is aimed at intermediate users.

• Claude Cowork + Ollama = 100% FREE & PRIVATE (Full Setup)
  25.4.2026, 11:55:24

  The video shows how to use Claude Cowork for free and privately by using local AI models on your own computer or accessing Open Router to use cloud-based models. The creator demonstrates the use of the Gemma 26B model (18 GB, 256K context window) and the smaller Gemma E2B model (7.2 GB). Ollama is used for downloading and managing models locally. If your computer isn’t powerful enough, you can use Open Router, which provides access to hundreds of AI models, though with potential privacy concerns. The creator shows how to connect the Claude Desktop App with Ollama and Tailscale to establish a secure HTTPS connection. Next, it explains how to set up Skills, Connectors, and Plugins in Claude Cowork, including integration of Brave Web Search. The creator tests both local and cloud-based models and finds that cloud models are faster but may not interact as well with the app’s skills. The video is suitable for intermediate users and covers Claude, Ollama, Open Router, Tailscale, and specific tools like LM Studio.

• Full Tutorial: How To Automate 99% Of Your Work With Claude Cowork
  22.4.2026, 13:03:14

  The video shows how to use Claude Cowork as a virtual assistant to automate 99% of your tasks. It begins with installing the desktop app and selecting a paid plan, with the Pro monthly option at $20 recommended. The user is guided through the app’s features, including the differences between Claude Chat, Claude Cowork, and Claude Code. Claude Cowork can access local files, work with Excel and Word documents, control the browser, and connect to tools like Gmail or ClickUp.

  The main focus is on how to use Claude Cowork effectively by changing the way you interact with it. Instead of treating it as a chatbot, you should view it as a virtual assistant that can take on complex tasks such as writing emails or managing tasks in a task manager. The user is instructed to create projects and tasks, with projects serving as folders on the computer where all resources and generated files are stored. The importance of providing context and background information to increase the assistant’s effectiveness is emphasized.

  The video also shows how to create Scheduled Tasks to automate repeated tasks, such as searching for the cheapest flights and logging prices in an Excel spreadsheet. Finally, the use of Live Artifacts is demonstrated to display data from an Excel spreadsheet in an interactive dashboard.

  **Closing comment:** The video explicitly covers Claude (Cowork, Chat, Code) and is aimed at intermediate users.

• Best way to use Claude Code in 2026 #claude #coding #aicode
  22.4.2026, 08:27:35

  The video showcases new features of the updated Claude Desktop App, which is now the most popular place to use Claude Code. Highlights include a detailed overview of token consumption per session and weekly limits. The app offers a preview tab to view websites or apps in real-time, as well as a diff view to track code changes. An integrated terminal allows you to run commands or start additional Claude Code Agents. There is also an enhanced task view that displays Sub-Agents and a plan mode for complex tasks. The app also enables voice control for more efficient work and provides detailed insights into token and model usage.

  The video explicitly covers the Claude Desktop App and is aimed at intermediate users.

• How Claude Cowork Saves 5 Hours a Week #productivity #ai #automation
  20.4.2026, 13:33:18

  The video shows how to use Claude Cowork to automate routine tasks. It first describes installing the Claude Desktop App from Claude.com/download and signing up for an account, with the $20 monthly plan recommended. The focus is on using project mode, where a project such as planning a European trip is created. Claude can help gather data, complete tasks, and set up automated processes. A specific example is daily checking of flight prices on Skyscanner and logging prices in an Excel file. To do this, the Chrome Connector is activated so Claude can automatically work in the browser. The video demonstrates how Claude creates an Excel file, checks prices, and sets up a daily task at 9:00 AM.

  Claude Cowork is covered, and the video is aimed at intermediate users.

AI Explained (1 new video)

• GPT 5.5 Arrives, DeepSeek V4 Drops, and the Compute War Intensifies
  24.4.2026, 18:45:02

  The video provides a detailed summary of the latest developments in the AI world, particularly the release of GPT-5.5 and DeepSeek V4. GPT-5.5, which doesn’t yet have API access, shows mixed results across various benchmarks. It outperforms Opus 4.7 and Mythos Preview in some areas, like Agentic Coding, but underperforms in others, such as SWEBench Pro and Humanity’s Last Exam. OpenAI emphasizes the importance of intelligence per token and the model’s efficiency. DeepSeek V4, a Chinese model, supports a context length of one million tokens and is comparable to GPT-5.2 and Gemini 3 Pro in many benchmarks, but significantly cheaper. The video also discusses GPT-5.5’s capabilities regarding hallucinations, cybersecurity, and handling self-directed tasks. It’s noted that GPT-5.5 performs better in some areas like healthcare diagnostics and spreadsheets, but underperforms in others, such as chain-of-thought control. DeepSeek V4 also demonstrates strong performance in long contexts and specialized tasks. The video concludes with a reflection on AI’s impact on productivity and the job market, as well as challenges posed by compute scarcity.

  The video explicitly covers OpenAI (GPT-5.5), DeepSeek (DeepSeek V4), and Anthropic (Opus 4.7), and is aimed more at Intermediate and Advanced users.

Alex Finn (10 new videos)

• Hermes just got 10x better…
  19.5.2026, 13:30:10

  The video presents eight major updates for Hermes Agent that significantly improve the tool’s functionality. The key new features include:

  1. **Session Recall**: Enhanced memory function that enables retrieving all previous conversations and actions without consuming tokens.
  2. **Background Tasks**: The ability to run multiple tasks simultaneously in the background, enabling true multitasking capabilities.
  3. **Grock 4.3 Integration**: Using the Grock 4.3 model for tasks like real-time Twitter search and video creation.
  4. **Native Codec CLI Usage**: Integration of Codec CLI for cost-effective and efficient coding.
  5. **Computer Control**: The ability to control the computer and autonomously perform tasks like calendar management.
  6. **Video Creation**: Native text-to-video and photo-to-video functions within the tool.
  7. **Automatic Kanban Task Distribution**: Automatic breakdown of tasks into subtasks and distribution to different subagents.

  The video is suited for intermediate to advanced users, as it presents detailed features and integrations that require some prior knowledge. It explicitly covers Hermes Agent, Grock 4.3, Codec CLI, and Telegram.

• Claude Code is 1000x better when you use this tool
  17.5.2026, 18:06:00

  The video presents an efficient workflow integration of Claude Code (or alternative vibe coding tools like Codeex and Cursor) with the Linear project management tool. Linear serves as a “second brain” by automatically organizing, prioritizing, and linking tasks (issues) to GitHub. This enables seamless collaboration between different devices and AI agents, reduces manual planning, and increases productivity. The creator demonstrates building a prompt library app, with Claude Code working through Linear tasks, generating code, and testing independently. He also shows how GitHub branches are created for each task to facilitate code overview and review. A bonus tip is integrating Slack for team updates. The video targets intermediate to advanced users of AI coding tools and explicitly covers Claude, Codeex, Cursor, Linear, and GitHub.

• LIVE: GROK BUILD CLI IS ACTUALLY INCREDIBLE???
  15.5.2026, 20:24:28

  ### Video Summary

  The video is a live stream session where the creator discusses various aspects of selling Software-as-a-Service (SaaS) while simultaneously testing the capabilities of Grock Build, a tool from XAI. The stream begins with a casual introduction, encouraging viewers to participate and interact in the chat. He discusses the importance of Twitter (X) for software sales and the need to build a community.

  He then addresses the three key factors that drive SaaS success: distribution, network effects, and partnerships with government data. He emphasizes that a strong community and good sales are crucial to success.

  A large portion of the video is dedicated to demonstrating and testing Grock Build, a new XAI tool. The creator conducts several benchmark tests, including creating a 3D first-person shooter, an Elon Musk animation, and a 3D city flythrough. He evaluates the results and compares them to other AI tools like Claude, OpenAI, and Gemini. While Grock Build performs well in some areas, there is also criticism regarding usability and tool costs.

  The creator also discusses his personal experiences with various AI tools and shares his opinions on the current AI development landscape. He emphasizes the importance of coding skills for AI tool success and praises Anthropic for developing Claude Code.

  Towards the end of the video, the creator announces that he will do fewer live streams in the future and focus more on creating pre-recorded videos. He invites viewers to join his Vibe Coding Academy bootcamp, where he will discuss more about SaaS, AI investments, and his workflows.

  ### Final Remarks

  The video explicitly covers AI tools and models from Claude (Anthropic), OpenAI (ChatGPT, Codex), Gemini (Google), and specific tools like Grock Build (XAI). It is best suited for intermediate and advanced users interested in developing and selling SaaS products and staying updated on the latest AI industry developments.

• LIVE: The greatest Claude Code workflow ever
  13.5.2026, 20:12:33

  The video showcases a detailed, advanced workflow for Claude Code that integrates various tools including Slack, Linear, GitHub, and Claude Code itself. The host explains how these tools work together to increase productivity, track changes, and organize development. The workflow includes creating tasks and projects in Linear, linking with GitHub for branch management, and leveraging Claude Code for automating and managing these processes. The host emphasizes the benefits of this workflow, such as increased speed, better error prevention, and improved traceability.

  Additionally, the host discusses personal experiences and challenges, such as dealing with difficult times and the importance of persistence. He also shares his thoughts on using AI tools like Claude Code and Codex, as well as their differences and use cases.

  The video is intended for advanced users who already have experience with Claude Code and similar tools and want to optimize their workflows. It specifically covers Claude, OpenAI, and Linear.

• Hermes Agent powered by local models on the DGX Spark is basically magic
  13.5.2026, 13:30:07

  The video demonstrates how to set up a Hermes Agent on a local model on an Nvidia DGX Spark to create a 24/7 available AI employee. The process includes setting up the DGX Spark in headless mode, installing a local model (Quen 3.6 27B), and integrating the model into the Hermes Agent. The creator demonstrates three use cases: a daily report on AI stocks for beginners, repurposing YouTube video content for intermediate users, and vibe coding a to-do list app for advanced users. The focus is on the benefits of local models, such as being free (apart from electricity costs), privacy, customizability, and educational value.

  Final Remarks: The video explicitly covers Nvidia DGX Spark, Hermes Agent, Quen 3.6 27B, and Tail Scale, and is intended for intermediate to advanced users.

• LIVE: Talking AI news (no Hermes use cases ignore the thumbnail)
  11.5.2026, 20:11:47

  The video is a live stream session that primarily focuses on discussing Hermes Agent and its use cases. The host, Alex Finn, begins with an introduction to Hermes Agent, emphasizing the importance of use cases for utilizing the technology. He mentions that Hermes has released a new website with hundreds of use cases that he and viewers will explore and test.

  However, a large portion of the video is taken up by various tangents and discussions, including:

  1. **Investment Corner**: Alex discusses current investment opportunities in the AI industry, particularly in companies like Nvidia, Micron, TSMC, and Tesla. He emphasizes the importance of current AI developments and the necessity of investing in the right companies.

  2. **Personal Stories and Anecdotes**: Alex shares personal stories and anecdotes that are often humorous and entertaining but not directly related to the video’s main topic.

  3. **Chat Interaction**: A large portion of the video consists of interaction with the live chat, where Alex answers questions, makes comments, and engages with viewers.

  4. **Hermes Agent Use Cases**: Towards the end of the video, Alex begins discussing some use cases from the new Hermes website. He mentions use cases such as creating research reports, managing tasks, and automating processes.

  5. **Announcements and Updates**: Alex provides updates on his own projects and announcements, such as launching a second YouTube channel and attending a Baby Keem concert.

  **Final Remarks**: The video explicitly covers open-source AI models and tools like Hermes Agent and OpenClaw. It is suited for intermediate to advanced users who already have some understanding of AI and its applications.

• Hermes Agent is blowing me away…
  9.5.2026, 20:54:26

  The video compares the AI agents Hermes and OpenClaw, recommending Hermes due to reliability, self-improvement, and user-friendliness. The author describes the advantages of Hermes, including regular thematic updates, self-improving capabilities through usage, and a strong emphasis on experimentation and local models. Installing Hermes is described as straightforward, with options for different models and communication services, with Telegram and Opus recommended. The author demonstrates three use cases: one for beginners discovering new AI tools daily, one for intermediate users performing daily proactive check-ins, and one for experts creating AI-generated videos. The author concludes by emphasizing the importance of brain dumping and reverse prompting to use the AI agent personally and effectively.

  The video explicitly covers the AI tools Hermes Agent and OpenClaw and is suited for intermediate and advanced users.

• LIVE: Anthropic and Elon just teamed up to take down OpenAI
  6.5.2026, 20:12:34

  The video discusses the strategic alliance between Anthropic and Elon Musk’s XAI (X.AI), characterized by a major compute power deal. Anthropic gains access to SpaceX’s Colossus-1 cluster, which will significantly enhance their ability to develop and train AI models. This partnership marks a turning point in competition with OpenAI, which has recently taken a dominant position with Codeex. Anthropic has struggled during this period with reduced limits and less powerful models, which this new alliance aims to address. Elon Musk, previously critical of Anthropic, now provides massive computing resources, changing the dynamics of AI competition. The video also discusses Elon Musk’s long-term strategies, where he may focus on larger goals like autonomous vehicles, space travel, and robotics rather than remaining in the AI chatbot competition. The alliance could lead to a new era of innovation and improvement in AI tools from which consumers will benefit. The video emphasizes the importance of using both leading AI tools, Claude Code and Codeex, to benefit from their respective strengths.

  **AI Tools/Models/Providers:** Anthropic, OpenAI, Elon Musk (X.AI), Claude, Codeex, Grock, Gemini, Open Source
  **Target Audience:** Intermediate

• Hermes Agent might have just killed OpenClaw
  5.5.2026, 21:11:59

  The video introduces Hermes Agent as a more reliable alternative to OpenClaw and discusses seven new features that improve productivity and user-friendliness. These include:

  1. **Kanban Board**: Enables multitasking by processing multiple task threads in parallel. A manager agent populates tasks with details and moves them through various statuses (Triage, To-Do, Ready, In Progress, Blocked, Done).

  2. **Slash Goals**: A high-level mission function that assigns long-term tasks to the agent that can be worked on over an extended period. The quality of the prompt is critical for good results.

  3. **Profiles (Multi-Agents)**: Allows creating multiple agents with their own memories and capabilities to optimize performance and prevent overload.

  4. **Model Catalog**: Simplifies switching and assigning models to specific tasks, improving cost control and efficiency.

  5. **Compression**: By adjusting the compression threshold to 0.5, less drastic compressions are performed, which improves memory retention.

  6. **Curator Feature**: Automatically prunes rarely used skills every seven days to reduce bloat and maintain performance.

  The video criticizes OpenClaw for frequent updates that lead to instability and performance issues, and highlights Hermes’ targeted, reliable updates. It recommends leveraging Hermes’ new features to boost productivity.

  **Final Remarks**: The video explicitly covers Hermes Agent and OpenClaw and is suited for intermediate to advanced users.

• LIVE: Is Hermes better than OpenClaw? FINALE!!!
  4.5.2026, 21:53:53

  The YouTube video shows a live stream in which the host tests various AI agents (OpenClaw and Hermes) in a competition called “Agent Olympics.” The stream is unusually long (3.5 hours) and is divided into various sections ranging from technical tests to personal discussions to spontaneous decisions.

  **Content Summary:**
  1. **Agent Olympics:**
  – The host tests four combinations of AI agents (OpenClaw and Hermes with different backend models like ChatGPT and Opus) on five different tasks.
  – The tasks include creating infographics, animated music videos, and other complex projects.
  – Results are evaluated live, with OpenClaw running Opus emerging as the winner.

  2. **Technical Discussions:**
  – There are extensive discussions about the stability and reliability of various AI agents, particularly Hermes, which is criticized for “compaction” errors (loss of work states).
  – OpenClaw is praised for its consistency and user-friendliness.

  3. **Personal Topics:**
  – The host discusses his sleep issues and experiments with various solutions like kiwis and magnesium.
  – There are discussions about work methods, including the use of treadmills and standing desks, with the host expressing his preferences and dislikes.

  4. **Community Interaction:**
  – Viewers are actively engaged in the chat, asking questions and providing feedback.
  – The host spontaneously decides to create a second YouTube channel called “Alex Finn Labs,” which leads to an entertaining interaction with a viewer who has already reserved the desired channel name.

  5. **Announcements and Future Plans:**
  – The host announces that he will publish more videos about Hermes and multi-agent setups in the future.
  – Discussion occurs about whether live streams should take place at later times to reach a broader audience.

  **Final Remarks:**
  The video explicitly covers the AI tools OpenClaw, Hermes, ChatGPT, and Opus. It is suited for intermediate and advanced users as it addresses technical details and advanced applications of AI agents.

AI Foundations (3 new videos)

• Full Hermes Agent Set-Up For Beginners in 2026! (24/7 AI Agent)
  12.5.2026, 14:56:27

  This video is a tutorial on setting up the Hermes Agent, a 24/7 self-improving AI agent that runs on a server and continuously learns from feedback. The agent consists of three layers: memory, skills, and cron jobs. Memory allows the agent to integrate learned knowledge into future sessions. Skills are automations or mini-workflows that the agent creates and improves. Cron jobs enable task scheduling at specific times. The agent goes through a loop where it sets goals, uses tools, delivers results, and is improved through feedback.

  The author compares setting up the agent on a local computer with setting it up on a VPS (Virtual Private Server). A VPS is always online and scalable, while a local computer is only active when it’s turned on. The VPS setup is described in detail, including using Hostinger to deploy the VPS and setting up the agent via terminal. The agent can be used with various models like Claude, OpenAI, or Open Router and can be controlled through different messaging platforms like Telegram.

  At the end, the author shows a practical example of how he uses the Hermes Agent to automatically create and publish blog posts based on his YouTube videos. The agent checks analytics, improves content, and can be controlled via Telegram.

  The video explicitly covers Hermes Agent, Open Router, Claude, OpenAI, and specific tools like Telegram. It’s intended more for intermediate and advanced users.

• FULL Claude Cowork Tutorial For Beginners in 2026! (Zero to PRO)
  4.5.2026, 17:28:28

  This video provides a comprehensive introduction to Claude Cowork, an advanced feature of AI Claude that goes beyond basic chat functionality. It begins with an explanation of the pricing structure, which requires at least the Pro version of Claude, and highlights the unique features of Cowork that are not accessible via the web interface but through a desktop application.

  The tutorial shows the Claude Cowork user interface and explains the different tabs such as projects, scheduled tasks, live artifacts, dispatch, and customizations. A central focus is on the difference in interaction with Claude Cowork compared to chat mode. Cowork is designed to complete tasks, while chat mode is more intended for brainstorming and strategy development.

  A practical example shows how to create a folder on the desktop and have Claude Cowork interact with it to conduct research about the year 1800. In this process, subagents are deployed that research in parallel and create markdown files. This feature allows multiple tasks to be handled simultaneously with results saved directly to the computer.

  Another important aspect is the creation of live artifacts, described as mini-applications connected to real-time data. An example shows how an interactive dashboard for the year 1800 is created containing various information and learning tools.

  The video also demonstrates how to connect tools like Gmail with Claude Cowork to automate tasks such as categorizing invoices. This integration allows data to be read from and written to various applications, significantly improving efficiency in handling emails and other tasks.

  Additionally, Claude Skills are introduced, described as automations that perform specific tasks in the same way each time. An example is a daily briefing automation that summarizes emails and calendar entries and gives the user an overview of the day.

  Projects in Claude Cowork are described as containers containing specific instructions and files to complete certain tasks. An example shows how a project is created for generating SEO-optimized blog posts based on YouTube transcripts.

  The video concludes with an invitation to join the AI Foundations Community, where additional courses and resources for automation with Claude are offered.

  Final comment: The video explicitly covers Claude Cowork and is intended more for intermediate to advanced users.

• Claude Just Released LIVE Artifacts… (Amazing Results)
  21.4.2026, 04:05:57

  This video explains the new “Live Artifacts” feature in the Claude Cowork desktop app. Live Artifacts are interactive mini-apps or dashboards that display and update data from connected tools like Notion, Google Calendar, or Gmail in real time. The creator demonstrates creating a personal daily briefing dashboard that consolidates and live updates appointments, emails, and CRM notes from various tools. The feature enables the creation of personalized, dynamic work environments directly in the Claude app. Live Artifacts can be designed and customized as desired to create a central hub for various workflows.

  The video explicitly covers Claude and is intended more for intermediate or advanced users.

n8n (5 new videos)

• From the n8n canvas to Microsoft Teams with Microsoft Agent 365
  19.5.2026, 16:32:30

  The video shows a live demo and step-by-step guide for setting up Microsoft Agent 365 in conjunction with the N8N automation platform. Here are the main points:

  1. **Introduction to Agent 365**: Agent 365 is a new node within the N8N automation system that enables you to create and manage agents with enterprise identity, permissions, governance, and Microsoft Copilot (MCP) tools in Microsoft 365.

  2. **Demo Steps**:
  – **Prerequisites**: You’ll need a Microsoft Copilot license, a Teams license, an Agent 365 license, and a global administrator role in your Microsoft tenant.
  – **Setup on the Microsoft side**: Installation and use of the Agent 365 CLI tool to create an agent blueprint. This blueprint defines the agent’s name, description, developer information, and access rights to Microsoft tools like Outlook, Teams, and Word.
  – **Setup on the N8N side**: Integration of the Agent 365 trigger node in N8N, which establishes the connection to a chat LLM model, a memory node, and various tools such as Salesforce and ServiceNow.
  – **Publishing and usage**: The agent blueprint is published in Microsoft 365, and users can create instances of the agent via the Microsoft Agent Store. The demo shows how a sales team uses an agent to compile data for a quarterly business review.

  3. **Security and governance features**: Agent 365 offers comprehensive security and governance features that enable IT administrators and security teams to monitor and control agent activities. This includes defining permissions, assigning user access, and real-time monitoring of agent activities.

  4. **Advanced use cases**: The demo shows how the agent can be integrated with tools like PagerDuty to retrieve incidents and transfer them to an Excel spreadsheet, which is then shared via email. This demonstrates the agent’s ability to interact with various services beyond the Microsoft ecosystem.

  5. **Future developments**: Participants are encouraged to provide feedback and suggestions on how the platform can be further improved, particularly regarding streamlining the setup process and expanding use cases.

  The video explicitly covers Microsoft Agent 365 and N8N and is intended for intermediate to advanced users who already have experience with automation platforms and Microsoft 365.

• n8n Desk: The Open Source Claude Desktop That Runs on top of n8n’s new MCP
  11.5.2026, 18:03:38

  The video shows a demonstration by Marcel, who introduces two new tools: the official N8N MCP (Model Context Protocol) and N8N Desk, an open-source desktop application that functions similarly to Claude Desktop but with some key differences. The N8N MCP enables AI agents not only to execute N8N workflows but also to create and edit them. This is a major advancement, as previously it was only possible to run workflows. Marcel demonstrates the creation of a support ticket agent that communicates via Slack. N8N Desk, on the other hand, does not execute code locally on your computer but uses N8N instances in the cloud, which is more secure and better suited for enterprise environments. The application supports various AI models, including local models, and offers features such as Co-Work, Workflow, and Chat. Marcel emphasizes the importance of context and skills for effective use of AI agents and shows how N8N Desk integrates these aspects. The video ends with an announcement that N8N Desk will be available as an open-source project, with the ability to be notified via a waitlist.

  The video explicitly covers N8N, Claude, and open-source tools and is intended for intermediate and advanced users.

• How we use n8n: Sindhuja, product leader
  4.5.2026, 14:17:20

  The video is an interview with Sindhuja, a product manager on n8n’s AI team. She shares her career journey, which took her from being an engineer to founding an EdTech company to joining n8n. At n8n, she initially improved user adoption and retention before moving to the AI team to advance the use of AI for simplifying workflows. She discusses the development of an instance-level MCP that enables users to access n8n from various platforms, and emphasizes the importance of community feedback. Additionally, she uses n8n herself for personal and professional workflows, including an AI assistant within the product. She sees n8n’s future in combining creativity and reliability to make automation accessible to everyone.

  The video explicitly covers the tool n8n and is intended for intermediate or advanced users.

• n8n Livestream: Product Updates, Community Creator & the latest Community Challenge
  30.4.2026, 16:30:56

  The video shows a live stream session with various updates and presentations around the N8N platform, a tool for workflow automation. Here are the key points:

  1. **Product Updates from Nick and David**:
  – **MCP (Model Context Protocol)**: A tool for creating N8N workflows that is in beta phase and continuously being improved. It enables the integration of coding agents and other tools.
  – **Agents as First-Class Citizens**: Agents are treated as standalone entities alongside workflows, with enhanced features such as long-term memory, state management, and routing strategies.
  – **AI Assistant**: A new AI assistant that can create, test, and iterate workflows. It has access to various tools such as browser, file system, and multimodality and is designed to make proactive suggestions.
  – **N8N Connect**: A feature that enables direct consumption of AI tokens within N8N and simplifies access to various services such as web search, web scraping, and OCR.

  2. **Community Member Zayn Khan**:
  – Presentation of a project for a customer that automates support ticket management with N8N. The workflow uses JotForm for input, AI agents to classify tickets by severity and sentiment, and integrates databases such as Airtable and Slack for notifications.

  3. **Community Challenge**:
  – Introduction of the monthly Community Challenge, where participants can solve real-world use cases with N8N. Winners will be featured in the next live stream, and their workflows will be published in the official N8N template collection.
  – The current challenge focuses on “human-in-the-loop” automation, where human review steps are integrated into the workflow. An example was the review of social media content by various team members.

  4. **Additional Information**:
  – **Fridays for AI Days**: A weekly initiative where users can share their workflows and earn rewards.
  – **Job Openings**: N8N is hiring new team members, particularly for community teams.
  – **Newsletter and Events**: Information on the monthly newsletter and upcoming community events, including a special event for women in automation.

  The video explicitly covers N8N and its various features and tools, particularly MCP, Agents, AI Assistant, and N8N Connect. It is intended for intermediate and advanced users who already have experience with workflow automation and want to deepen their knowledge.

• Create n8n Workflows With Agents | Official MCP
  29.4.2026, 14:18:27

  The video shows how to use the new MCP interface (Model Context Protocol) from n8n to create and edit workflows with the help of AI models like Claude. The MCP interface enables you to create workflows directly in n8n without manually copying and pasting JSON code. The process includes connecting n8n with Claude via the MCP interface, configuring access rights, and using Claude Code to create workflows. It also shows how to set up the MCP interface with other coding agents like Open Code. The video is a tutorial on setup and provides an outlook on future applications.

  The video explicitly covers n8n, Claude, Claude Code, and Open Code and is intended for intermediate users.

Greg Baugues

No new videos in this period.

TheAIGRID (10 new videos)

• 10 Best AI Tools For Business Owners in 2026 – How To Start Your Business With AI
  16.5.2026, 21:15:02

  The video introduces 10 AI tools suitable for small businesses and beginners without technical background. Here are the key highlights:

  1. **ChatGPT**: A versatile tool for tasks like email writing, brainstorming, document summarization, social media posts and more. It’s particularly useful for small businesses to save time and overcome creative blocks. The Plus plan costs $20 per month.

  2. **Claude Co-work**: A desktop agent from Anthropic that can autonomously work with local files and applications. It can handle tasks like organizing files, creating presentations, and managing Excel spreadsheets. The base price is $20 per month.

  3. **Microsoft 365 with Claude**: Claude can be integrated into Microsoft Word and Excel to automate tasks like creating financial analyses and managing documents. It’s particularly useful for creating financial forecasts and managing data.

  4. **Copilot in Microsoft 365**: A built-in AI in Microsoft 365 that offers similar features to Claude but with less power. It’s a budget-friendly alternative for companies with limited budgets.

  5. **Gamma.app**: A tool for creating presentations and websites. It’s particularly useful for small businesses wanting to create professional presentations and websites without design skills.

  6. **Google’s Pomelo**: A free marketing tool from Google that generates social media posts, advertising campaigns, and email banners based on a website URL. It’s particularly useful for businesses wanting to strengthen their brand identity.

  7. **Flow by Google**: An image generation tool particularly useful for businesses that regularly need to create images for marketing purposes. It offers 50 free credits to get started.

  8. **Canva AI**: A tool for creating marketing visuals that suggests layouts, generates images from prompts, and adapts designs for different social media platforms. It’s particularly useful for businesses wanting to maintain consistent brand identity.

  9. **Zapier**: A tool for automating workflows between different applications. It can automate tasks like creating calendar entries and managing customer inquiries. It offers a free version and paid plans up to $20 per month.

  10. **Chatbase**: A tool for integrating AI support agents into websites. It allows businesses to integrate automated customer support agents on their website that can respond based on company knowledge from PDFs or Word documents. It offers a free version and paid plans starting at $32 per month.

  11. **Perplexity Computer**: An expensive but powerful AI agent tool that can automate tasks like creating reports, scraping websites, and managing data. It’s particularly useful for businesses wanting to automate complex tasks. The price is $200 per month.

  12. **Lovable**: A tool for creating AI-powered websites. It’s particularly useful for businesses wanting to quickly and easily create a website without design skills.

  The video is suitable for small businesses and beginners without technical background. It covers various AI tools and models including ChatGPT, Claude, Microsoft 365, Copilot, Gamma.app, Google’s Pomelo, Flow by Google, Canva AI, Zapier, Chatbase, Perplexity Computer, and Lovable.

• Meta AI Tutorial – How To Use Meta AI
  13.5.2026, 21:15:04

  The video presents the features and tips for using Meta AI. It begins with an explanation of three chat modes: “Instant” for quick, casual questions, “Thinking” for complex problems requiring deeper analysis, and the secret “Contemplating” function that deploys up to 16 independent agents for parallel analysis. This feature is particularly useful for research, strategy development, and difficult decisions. The video then demonstrates Meta AI’s search function, which draws information from the open web and Meta’s social graph, including Instagram Reels and Facebook posts. Meta AI’s multimodality is highlighted, particularly image analysis and visual anchoring, which can provide detailed analysis and personalized health information from images. Analysis of PDFs, Excel, and Word documents is also mentioned. Additionally, the video introduces image and video generation with Meta’s “Vibes,” currently based on Midjourney, as well as the Meta Vibes social platform where users can share and remix AI-generated content.

  The video explicitly focuses on Meta AI and is aimed at intermediate users.

• Google’s New Gemini Omni Just Shocked Everyone – Leaked Demo, Pricing, and what comes next
  12.5.2026, 19:45:04

  The video covers the leak of a new Google AI video model called Gemini Omni, which was accidentally made available to some users. The discovery began with a tweet pointing to an unusual text line “powered by Omni” in the Gemini app. Users generated initial videos showing impressive quality comparable to current top models like Sora 2. The videos demonstrate complex scenes, such as a professor explaining a mathematical proof on a blackboard and a detailed restaurant scene with two people. However, using the model is very resource-intensive, with just two generations consuming 86% of a Pro subscription’s monthly quota ($20/month). The name “Omni” suggests a multimodal model supporting various input and output modalities, similar to the never officially released GPT-40. The video speculates about Omni’s possible introduction at the upcoming Google IO and compares it to current competitors like Sora 2, Alibaba’s W2.7, and Cline 3.0. It discusses whether Omni could be a standalone product or an evolution of VO4, with potential to significantly change the AI video landscape.

  The video explicitly focuses on Google’s Gemini Omni and compares it to other models like Sora 2 and GPT-40, targeting intermediate to advanced audiences.

• How To Use Claude For Microsoft Word (Microsoft Word Claude Tutorial)
  9.5.2026, 20:15:01

  The video shows how to use Claude in Microsoft Word. First, the installation of the add-in is explained, noting that a Claude Pro or Max plan is required. Users are encouraged to use the Sonnet 4.6 or Opus 4.6 models, with Opus 4.7 reserved for mathematical tasks. Important settings like “Work over files” are highlighted, which enables sharing context across different Office files.

  The video demonstrates how Claude can be used in Word to write, edit, and format text. It shows how to highlight specific sections and then expand or rewrite them. Additionally, Claude’s ability to reformulate and structure text in different styles is emphasized, including adding headings and bullet points.

  Another focus is the ability to mark and analyze specific document sections, for example, to highlight security aspects or key points. The video also shows integration of web research directly in Word, noting that this feature is only suitable for simple searches.

  The video demonstrates how Claude can work with other Office applications like Excel and PowerPoint to integrate data from these applications into Word documents. This is demonstrated with an example where sales data from Excel is incorporated into a letter to shareholders.

  Finally, the use of templates in Word is shown, for example for resumes, noting that Claude sometimes has difficulties with complex formatting. It’s recommended to use the undo function for problems or repeat the task with a higher-tier model.

  The video explicitly focuses on Claude and is aimed at intermediate users.

• OpenAI Is Losing The AI War
  8.5.2026, 22:34:30

  The video analyzes the current state of competition among leading AI companies, particularly between OpenAI and Anthropic. It’s found that Anthropic has gained significant market share in recent months, both among individual users and in the enterprise sector. Anthropic shows unprecedented revenue growth and has surpassed OpenAI in many areas, particularly in usage for coding and general tasks. Anthropic’s frequent product releases and strong market position, especially with models like Claude Opus and Mythos, are highlighted. Additionally, Anthropic’s rejection of certain government requests is presented as a positive PR moment that strengthened trust in the company. Investors are increasingly skeptical of OpenAI, while Anthropic sees high demand on the secondary market. The video concludes by noting that user preferences have clearly shifted toward Anthropic, questioning whether OpenAI can still close this gap.

  The video explicitly focuses on Anthropic, OpenAI, Gemini, and specific models like Claude Opus and Mythos. It’s aimed at intermediate and advanced users interested in current developments and market trends in the AI industry.

• Claude For Powerpoint Tutorial – How To Use Claude With Powerpoint
  7.5.2026, 21:00:59

  The video demonstrates the use of “Claude for PowerPoint,” an official add-on from Anthropic directly integrated into Microsoft PowerPoint. It enables generation of fully editable PowerPoint elements based on existing templates or new content. The add-on is available in various pricing tiers but is still in beta/research phase.

  To use Claude for PowerPoint, a Claude Pro account ($20/month or higher) or a Max Team/Enterprise subscription is required, along with a current version of Microsoft PowerPoint (Desktop or Web). After installation through the add-in function in PowerPoint, users can choose between two models: Opus 4.6 for complex tasks and Sonnet 4.6 for quick edits. Settings allow for establishing standards like fonts, colors, and notes for each slide. The option to confirm changes in advance is important to prevent unwanted edits.

  Claude automatically reads template layouts, fonts, and color schemes and generates slides following the visual structure of the template. An important tip is to load the template before prompting, as Claude uses this as a reference. The video shows examples of creating presentations from text prompts, editing individual slides, converting PDFs and Excel data into slides, and generating presentations based on websites. Claude can also translate presentations into other languages and add speaker notes.

  Some limitations are mentioned, such as file size limits of 30 MB, potential issues with complex layouts, and limited graphic analysis. The add-on is currently only available for Desktop and Web, not for iPad or Android.

  The video explicitly focuses on the AI tool “Claude for PowerPoint” from Anthropic and is suitable for intermediate users already familiar with PowerPoint who want to utilize AI tool functionalities.

• Why AI Ceos Are Now Afraid Of AI
  6.5.2026, 21:15:05

  The video discusses the ambivalence and fears of the richest and most powerful men working on artificial general intelligence (AGI). They see AGI both as humanity’s greatest opportunity and as a potential end to civilization. A central problem is the alignment problem: how can we ensure that a superintelligent AI understands and follows human values and unstated assumptions? So far, there’s no solution for this. Additionally, there’s growing fear of an AI arms race, as whoever develops AGI first gains a dominant position. This could destabilize existing economic and political structures. Another critical point is recursive self-improvement, where an AI could exponentially increase its own intelligence, leading to a sudden, hard-to-control intelligence leap. Finally, the video emphasizes the danger of AGI being used as a weapon, resulting in autonomous cyberattacks, biotechnological threats, and massive disinformation. Current developments are proceeding without international regulation and controls, further increasing the risks.

  The video explicitly focuses on OpenAI, Anthropic, Safe Superintelligence Inc., and models like GPT-6 as well as Grok, aimed at intermediate and advanced audiences.

• How To Use Pomelli – Google Pomelli Tutorial –
  5.5.2026, 21:15:01

  The video introduces the new AI-powered marketing tool “Meli” from Google Labs, which generates social media and advertising content for businesses based on a website URL. The focus is on defining the “Business DNA,” which consists of Brand Aesthetic, Brand Tone of Voice, Business Overview, Brand Values, and Tagline. The creator shows how to create these values using AI tools like Gemini or ChatGPT by using screenshots of templates and having AI fill them in. Next, the video demonstrates how to establish logos, colors, and fonts and create campaigns showcasing the product in various contexts. Creating videos and photo shoots is also explained, with the AI generating various variations that can be customized and downloaded. The tool is particularly useful for ideation and creating marketing materials.

  The video explicitly focuses on Google’s Meli and uses Gemini and ChatGPT as supporting AI tools. It’s suitable for intermediate users who already have basic knowledge in marketing and branding.

• AI Helped Spark a Quantum Breakthrough. “The World ‘Is Not Prepared’
  4.5.2026, 21:22:09

  The video discusses recent advances in quantum computing research accelerated by AI and potential threats to modern internet security. Three main factors are highlighted: improvements in quantum computers, more efficient algorithms, and AI-driven discovery of these algorithms. This combination could significantly reduce the size of quantum computers needed to break modern encryption.

  Google has published research showing that a future quantum computer with fewer than 1,200 logical qubits could attack certain encryption methods. Additionally, researchers from Caltech and Oatomic have argued that Shor’s algorithm could run on cryptographically relevant scales with just 10,000 reconfigurable atomic qubits. AI played a crucial role in developing these algorithms by searching through thousands of possibilities and improving algorithm efficiency.

  Companies like Cloudflare are responding to these developments by advancing their goals for shifting to quantum-safe security. Cloudflare aims to be fully quantum-safe by 2029, including authentication. However, transitioning to quantum-safe cryptography is complex and requires updating multiple systems and rotating secrets.

  Closing comment: The video explicitly focuses on OpenAI and open-source tools like Open Evolve, aimed at intermediate and advanced audiences.

• Hermes Agent Setup With Use Cases – Hermes Agent Use Cases
  3.5.2026, 21:30:05

  The video shows how to set up and use the Hermes Agent on a cost-effective cloud GPU platform (hpcai.com). The process includes setting up a CPU-based instance for 24 cents per hour, installing the Hermes Agent via a single command, and connecting to an inference provider like News Portal (with a $20 monthly fee for easier setup). The Hermes Agent offers various features like web scraping, cron job creation, image generation, lead generation, and price monitoring. Example use cases include scraping YouTube channels, creating weekly reports, generating images for social media, finding leads for a business, and monitoring supercar prices. The Hermes Agent can also be used for creating content ideas and automating tasks like Instagram DMs. The video emphasizes the versatility and efficiency of the Hermes Agent for various applications.

  The video explicitly focuses on the Hermes Agent and the cloud GPU platform hpcai.com, targeting intermediate users.

Theo – t3․gg (10 new videos)

• I’m scared to make this video
  20.5.2026, 03:51:05

  The YouTuber expresses strong criticism of Google, particularly regarding recent developments around the Gemini 3.5 Flash model, the Anti-Gravity CLI, and how they treat customers like Railway. He begins with a warning that his criticism could jeopardize his career, as Google has previously demonetized videos and restricted his reach. Despite these risks, he wants to expose the problems he sees with Google’s current products and decisions.

  Key points of criticism include:
  1. **Gemini 3.5 Flash Model**: Although the model performs well in some benchmarks, it’s extremely inefficient in token usage, making it very expensive. The YouTuber shows examples where the model fails to execute tasks correctly, such as rewriting a simple game, which works flawlessly with other models like GPT-55.
  2. **Anti-Gravity CLI**: The successor to the open Gemini CLI is, according to the YouTuber, heavily buggy and user-unfriendly. Additionally, Google has discontinued support for the open Gemini CLI and replaced it with the closed Anti-Gravity CLI, disappointing the community.
  3. **Customer Treatment**: Google suspended the account of Railway, a customer spending over $2 million monthly, without providing reasons, causing massive outages. The YouTuber mentions similar incidents in the past that demonstrate Google Cloud’s unreliability.

  The YouTuber emphasizes that despite its resources and talent, Google fails to produce good products due to internal politics and lack of collaboration. He stands behind former Google employees who tried to create meaningful solutions and criticizes the decision to end their work in favor of a closed, buggy product.

  The YouTuber explicitly addresses Google’s Gemini 3.5 Flash, Anti-Gravity CLI, and Google Cloud. The video is intended for Intermediate or Advanced viewers, as it covers technical details and benchmarks.

• Spending $40,000 in Copilot for $40
  19.5.2026, 02:25:55

  The video discusses recent changes to GitHub Copilot’s billing model, which is shifting from a fixed message limit to token-based billing. The author, who uses a free Copilot Plus license, demonstrates how to exploit the old system to incur substantial inference costs. He shows how through targeted use of Copilot with complex cryptography puzzles and agentic workflows, he drives up Microsoft’s costs. The author argues that the billing model change was necessary because the old system was no longer sustainable and Microsoft didn’t have enough compute power to meet demand. He emphasizes this isn’t a “rug pull” but a necessary adjustment to keep the program running.

  Final Comment: The video explicitly addresses GitHub Copilot, Claude Code, Codex, Cursor, OpenAI, and Anthropic. It’s intended for Intermediate and Advanced users.

• AI Is Hacking Everything Now…
  15.5.2026, 20:09:07

  The video discusses a series of serious security vulnerabilities and exploits in various software and operating systems, particularly Linux. Several critical security issues are highlighted, including “Copy Fail,” “Dirty Frag,” and an attack on 84 Tanstack npm packages. The speaker emphasizes that the speed and frequency of these exploits is alarming and that traditional security practices, such as the 90-day disclosure window, are no longer sufficient. He argues that using AI has accelerated and simplified the discovery and exploitation of security vulnerabilities, ushering in a new era of software security.

  The speaker proposes that the industry must make drastic changes to address these new challenges. This includes introducing a new tier of trusted actors who are informed early about vulnerabilities, as well as fundamental changes to open-source culture to control and delay code disclosure. He also emphasizes the need to build software more securely from the ground up, for example by using safer programming languages like Rust and developing better architectures.

  The speaker also shares personal measures he’s taking to protect himself from these threats, such as regularly creating backups and educating his family about security risks. He concludes with hope that his warnings will be taken seriously and that the industry will work together to find solutions to address growing security challenges.

  AI Tools/Models/Providers: Claude, OpenAI, Gemini, Open-Source (Linux, npm packages, Tanstack), Mythos, OpenAI Daybreak, GPT-4.7, Claude Opus 4.7, Gemini 31 Pro, GPT-5.5

  Target Audience: Intermediate to Advanced.

• I’m done.
  14.5.2026, 10:08:59

  The video covers Anthropic’s announcement that as of June 15, paid Claude plans will receive dedicated monthly credits for programmatic usage. This credit covers usage of the Agent SDK, Claude-P, and third-party apps based on the Agent SDK. The speaker is disappointed because this change severely restricts Claude usage in third-party tools like T3 Code, OpenClaude, and others, reducing usage limits by 25 to 40 times. He criticizes Anthropic for failing to provide clear communication despite months of inquiries, and now presenting a solution that feels more like a restriction than an improvement. The speaker emphasizes that this is an attack on open-source projects and that Anthropic is severely limiting open and programmatic usage. He announces that T3 Code will introduce an option to choose between the improved user interface and the original but limited usage. He advises viewers to use alternative solutions like Codex and expresses his disappointment with Anthropic’s behavior.

  **AI Tools/Models/Providers:** Claude (Anthropic), OpenAI, Codex, OpenClaude, T3 Code, Agent SDK, Claude-P, Open Source
  **Target Audience:** Intermediate to Advanced

• Stop letting your agents write Markdown.
  13.5.2026, 06:46:31

  The video discusses the pros and cons of Markdown compared to HTML, particularly in the context of AI agents using these formats. The author argues that Markdown, while simple and portable, is often too limiting and should be replaced with HTML, which enables richer and more interactive content. He references articles by Thoric and Andrej Karpathy expressing similar views, and shows examples of how HTML can be used for various tasks like planning, code reviews, and designs. The author emphasizes that HTML offers higher information density, is easier to read and share, and enables interactive elements. He concludes with the thesis that the future of human-machine interaction might lie in interactive videos and simulations, and encourages viewers to use HTML as a starting point and continue exploring.

  The video explicitly addresses Claude Code, Anthropic, OpenAI, and specific tools like Copilot Kit. It’s intended for Intermediate to Advanced users interested in AI agents and their output formats.

• I wish this was clickbait
  12.5.2026, 10:52:14

  The video discusses the future of Bun, a JavaScript toolkit originally written in the Zig programming language. The speaker, a long-time Bun supporter, expresses concerns about Bun’s stability and future, particularly on Windows, and mentions that some developers like Dax from Open Code have switched to Node.js due to these issues. A central topic is the Bun team’s decision to rewrite Bun in Rust to address stability problems and improve maintainability. The speaker highlights that while this reimplement is promising, it also brings new challenges, particularly due to the extensive use of “unsafe” code in Rust, which indicates potential security and stability risks. He also discusses the integration of Bun into Claude Code, a tool from Anthropic, and the potential impact of Claude Code’s current issues on Bun’s development. The speaker concludes with hope that the Rust rewrite of Bun will be successful, though he’s skeptical about short-term benefits.

  The video explicitly addresses the AI models and tools Claude and Mythos and is intended for Intermediate to Advanced users.

• We all fell for it…
  11.5.2026, 06:45:20

  The video discusses the impact of AI code tools on developers’ skills and working methods. The speaker shares personal experiences and reflects on the pros and cons of these tools, particularly regarding productivity, cognitive atrophy, and dependency on AI.

  Key points in the video:

  1. **Productivity Gains**: AI code tools enable developers to work faster and more efficiently by automating repetitive tasks and solving complex problems.

  2. **Cognitive Atrophy**: Excessive use of AI tools can cause developers to lose their skills since they engage less with code details. This is referred to as “cognitive debt.”

  3. **Dependency and Vendor Lock-in**: Developers can become dependent on specific AI tools, which can cause problems if these tools become unavailable or costs increase.

  4. **Work Quality**: AI tools can improve code quality by reducing errors and suggesting better solutions. However, they can also lead to superficiality if developers don’t fully understand suggested solutions.

  5. **Working Method**: The speaker emphasizes the importance of using AI tools as aids to improve one’s work rather than relying entirely on them. He suggests using AI tools for planning, brainstorming, and research while handling implementation yourself.

  6. **Vendor Lock-in and Reliability**: The speaker argues that developers shouldn’t be dependent on a single AI tool. He recommends using various tools and providers to increase reliability and flexibility.

  7. **Long-term Impact**: The speaker warns that excessive use of AI tools can impact developers’ careers long-term if they don’t continue developing their skills.

  The video explicitly addresses AI tools and models like Claude, OpenAI, Gemini, and specific tools like Cursor, Browserbase, and T3 Code. It targets Intermediate and Advanced developers interested in exploring AI’s impact on their work.

• Anthropic just…wait what
  7.5.2026, 09:08:36

  The video discusses the current partnership between Anthropic and SpaceX (or Elon Musk’s XAI) and the associated strategic implications for the AI industry. Anthropic, a leading AI provider, faces a massive compute problem as demand for their models, particularly Claude, far exceeds available computing resources. This scarcity has led to restrictions on usage limits and price adjustments that aim not primarily at maximizing profits but at using limited compute resources more efficiently. The partnership with SpaceX, which has substantial compute capacity, is intended to bridge this gap. Meanwhile, the strategic importance of Cursor, an AI-powered coding tool with valuable data essential for training AI models, is highlighted. The analysis shows that both Anthropic and XAI are attempting to address their respective weaknesses—compute and data—through this cooperation, while OpenAI stands as the main competitor in the background. The video analysis is detailed and suitable for Intermediate to Advanced users as it provides deep insights into strategic decisions and technical infrastructure in the AI industry. Explicitly addressed are Anthropic, SpaceX/XAI, Cursor, OpenAI, and specific compute infrastructure like Nvidia GPUs and various cloud providers.

• Get In, We’re Leaving GitHub
  6.5.2026, 19:43:52

  The video discusses current challenges with GitHub and alternatives, particularly given GitHub’s increasing reliability issues like random merge reversals and prolonged outages. The author emphasizes the need to explore alternatives and evaluates various options like GitLab, Bitbucket, GitTea, Forgejo (Codeberg), and new approaches like Pierre, Graphite, and Entire.

  **Main Points:**

  1. **GitLab**:
  – Often mentioned as an alternative, but has significant UX problems and is less user-friendly than GitHub.
  – The codebase is large and complex, making maintenance and improvements difficult.
  – GitLab is primarily an enterprise solution focused on CI/CD and integration, but not necessarily a direct improvement over GitHub.

  2. **Bitbucket**:
  – Mainly promoted as a more cost-effective alternative for companies already using Atlassian tools.
  – Integration with Jira and other Atlassian products is strong, but user experience and functionality aren’t comparable to GitHub.

  3. **Forgejo (Codeberg)**:
  – An open-source alternative that emerged from a GitTea fork.
  – Offers a simple, self-hosted solution with good performance and transparency.
  – The author is impressed by the user-friendliness and community behind Forgejo and even donates to the project.

  4. **Pierre**:
  – A new approach laying groundwork for a next generation of Git hosting solutions.
  – Focus on high throughput capacity and integration of agents that generate large amounts of code.
  – Pierre has already achieved impressive performance metrics and could form the foundation for future GitHub alternatives.

  5. **Graphite**:
  – Offers improved code review workflows and was recently acquired by Cursor.
  – Potential to create an entirely new type of developer platform that goes beyond traditional GitHub functionality.

  6. **Entire**:
  – Founded by former GitHub CEO Thomas Dohmke.
  – Develops tools to track and improve agent context during code creation.
  – Investing in the future of development, particularly in relation to AI agents.

  **Conclusion**:
  The video explicitly addresses open-source tools like Forgejo (Codeberg), Pierre, and specific companies like Graphite and Entire. It’s intended for Intermediate and Advanced users interested in exploring technical details and strategic considerations of Git hosting solutions.

• Prime is (mostly) right about AI
  5.5.2026, 08:53:45

  The video discusses the changing economics of the AI industry, particularly regarding the usage of AI models like Claude and GitHub Copilot. The speaker responds to a video by Primagen analyzing current changes in AI economics.

  The speaker emphasizes that recent pricing model changes at Anthropic and Microsoft don’t aim to earn more money from end users but to manage limited compute capacity (GPUs). Anthropic, for example, tried to limit Claude Code usage in cheaper plans to free up computing resources for enterprise customers. Microsoft also adjusted its pricing models for GitHub Copilot, which the speaker attributes to limited computing power availability.

  Another important point is the efficiency improvement of AI models. Despite higher token costs per request, newer models like GPT-55 are more efficient and cheaper to use, especially in mid to low-tier settings. The speaker argues that costs for real work tasks are declining when considering model efficiency.

  The speaker also criticizes the assumption that Google subsidizes less. He argues that Google actually subsidized very aggressively but had to make quick adjustments to usage terms to avoid overload due to poor model quality.

  Overall, the speaker agrees with Primagen’s analysis that AI industry economics are changing, but emphasizes that limited compute capacity is the main cause, not corporate greed.

  **AI Tools/Models/Providers:** Claude (Anthropic), GitHub Copilot (Microsoft), GPT-55 (OpenAI), Google (Gemini)
  **Target Audience:** Intermediate

Liam Ottley (2 new videos)

• Claude Managed Agents Will Make Millionaires (do this now)
  20.5.2026, 02:09:16

  The video discusses the significance and applications of Claude Code Managed Agents, a new Claude technology promoted as a powerful tool for business applications. The speaker, Liam Ottley, emphasizes that these agents enable the creation of a type of artificial intelligence for enterprises that functions as a central work environment and enables continuous learning. He explains that these agents can be hosted in the cloud and you only pay for actual runtime, making them cost-effective. By connecting with databases, documents, and custom tools, these agents can act as long-term, learning-capable assistants that update themselves overnight and manage their own memories. Liam Ottley compares this to human cognitive architecture and emphasizes how this technology can help companies work more efficiently and solve problems. He also mentions OpenAI and its competing products, while highlighting the advantages of Claude Code Managed Agents. The speaker encourages viewers to explore this technology and investigate its applications, particularly with regard to creating products or services for customers.

  The video explicitly covers Claude Code Managed Agents and OpenAI and is geared more toward Intermediate and Advanced users.

• How to Make $20,000/Month with Claude Code
  23.4.2026, 20:10:59

  The video discusses the future of AI agencies, particularly with regard to the introduction of retainer models starting in 2026. The speaker argues that with tools like Claude Code, the costs and effort for developing automations and agents have dropped significantly, making it attractive for agencies to transition to a retainer model. Small and medium-sized enterprises (SMEs) in particular benefit, as they need quick and cost-effective solutions. The speaker compares this to the Designjoy model, where customers pay monthly fees for design services. He emphasizes that the technology is now mature enough to make such retainer models profitable and valuable for both parties. An example is Tyler, who offers AIOS installations and Claude Code setups for business clients while charging monthly fees of $2,500. The speaker sees great potential in automating audits and development processes, which significantly reduces the time to value delivery for customers. He suggests that agencies should specialize in managing and optimizing automations, as this will be the most valuable part of their services in the future. Overall, he sees the current time as the most exciting phase for AI agencies, particularly through the use of Claude Code.

  The video explicitly covers Claude Code and is geared more toward Intermediate or Advanced users.

Productive Dude (6 new videos)

• Automate ANYTHING with Claude! (Here's how…)
  29.4.2026, 13:01:22

  The video shows how to automate your business with Claude at three different levels: from simple use of Claude in chat to integrating Claude into a custom platform. The three levels are:

  1. **Level 1: Basic chat capabilities**
  – A skill is created in Claude by setting up a folder structure with a `skill.md` file, reference files, and examples.
  – The skill is uploaded and used in Claude to automate tasks like lead scoring and email drafting.
  – Example: A lead qualifier skill that scores leads and creates email drafts.

  2. **Level 2: Routines with skills and connectors**
  – Skills are stored in a GitHub repository and used in routines that are triggered on a schedule or by trigger events.
  – Example: A routine that scores all leads from the past week every Monday at 8 AM and creates email drafts.
  – Integration with tools like Google Drive and Gmail to read leads and create email drafts.

  3. **Level 3: Custom platform**
  – Building your own CRM platform that communicates directly with Claude.
  – Using a Model Context Protocol (MCP) server or direct API calls to score leads and create emails.
  – Example: A custom CRM platform that reads leads from a form, scores them, and creates emails.

  The video demonstrates step-by-step how to implement these levels, from creating a simple skill to integrating it into a custom platform.

  Final note: The video explicitly covers Claude and is aimed at intermediate to advanced users.

• ChatGPT 5.5 "Spud" just dropped… did it destroy Opus 4.7?
  24.4.2026, 12:01:55

  The video provides a detailed analysis and first impressions of GPT 5.5, which was released on April 23, 2026. The creator compares the model with other AI models, particularly Anthropic’s Claude models, and highlights the strengths and weaknesses of GPT 5.5. Key points include the model’s improved ability to handle tasks independently without constant supervision, as well as its strengths in areas like code writing and debugging, online research, data analysis, document creation, and software operation. The creator tests GPT 5.5 live in Codeex and shows how the model can handle multiple complex tasks simultaneously, including creating a dungeon game, a landing page, and an artificial life simulation. Benchmarks show that GPT 5.5 performs well in long-context tasks, terminal work, and complex reasoning problems, while Claude 4.7 is superior in software development and agent-based tasks. The creator concludes that GPT 5.5 is particularly suited for long-context tasks, terminal work, and challenging reasoning problems, while Claude 4.7 is better for daily software development and agent-based tasks.

  Final note: The video explicitly covers GPT 5.5 from OpenAI and Claude 4.7 from Anthropic and is aimed at intermediate and advanced users.

• Claude Live Artifacts just dropped… ALL your tools in one place!
  23.4.2026, 13:00:18

  The video shows how to create a CRM system using Claude’s new Live Artifacts feature that aggregates data from various sources like Notion, HubSpot, Google Sheets, and Gmail and displays it in a unified dashboard. The process begins by connecting desired apps through the Connector feature in Claude. You then create a Live Artifact through targeted prompts that fetches and displays data in real-time. The creator demonstrates building a CRM dashboard with filters for different lead categories and an integrated email function controlled through Gmail. After some adjustments and troubleshooting, the finished dashboard displays all leads from Notion and enables drafting emails directly to contacts. The video emphasizes the versatility and efficiency of the Live Artifacts feature for data aggregation and analysis.

  The video explicitly covers Claude and is aimed at intermediate or advanced users.

• ChatGPT Images 2.0 just dropped… text, transparency and more! 🤯
  21.4.2026, 22:40:54

  The video introduces the latest version of OpenAI’s image model, Image V2, and evaluates its capabilities and limitations. The creator highlights that the model is able to follow detailed instructions, place objects precisely, and render dense text, though with some limitations in text consistency. A special feature is the “Thinking” function, which enables the model to analyze and optimize prompts, leading to better results. The model demonstrates strengths in creating UIs, magazine collages, handwritten essays, and photorealistic images. It supports various aspect ratios and is available in multiple languages. The creator tests the model on various tasks, such as creating web page mockups, redesigning YouTube thumbnails, and generating images with transparent backgrounds. The model proves capable of delivering impressive results, but also has some weaknesses, particularly in rendering text and precisely following instructions. Finally, the creator attempts to create a thumbnail for the current video using Image V2 to demonstrate the practical applicability of the model.

  The video explicitly covers OpenAI’s Image V2 and is aimed at intermediate users who already have experience with AI tools.

• Claude + Higgsfield: Build Beautiful ANIMATED Websites! (Claude Tutorial)
  21.4.2026, 13:00:45

  The video demonstrates how to quickly create and deploy an animated website using AI tools like Higgsfield and Claude Design. The process starts by creating images and videos in Higgsfield, converting an image into a video with an animated scene. The video is then converted to WebM format and uploaded to Claude Design, where a landing page is created with the video and additional elements like text and cards. The finished website can then be deployed via Netlify, with the entire process completed in less than 5 minutes. The creator emphasizes the simplicity and speed of the procedure and suggests using such websites as an outreach method to attract potential customers.

  Final note: The video explicitly covers Higgsfield, Claude Design, Claude Code, and Netlify and is aimed at intermediate and advanced users.

• Claude Routines Tutorial: Automate Anything with Claude Ai!
  20.4.2026, 13:00:19

  The video explains how to use Claude Routines, a new Claude feature that allows you to create and execute automated tasks. Routines can be triggered via API calls, schedules, or webhooks and connected to various tools like Slack, Gmail, and Google Calendar. The creator shows how to set up a routine to check Google Calendar and send daily meeting notifications to Slack. Additionally, the video demonstrates how to set up a routine with an API trigger to process leads, conduct research, log into a CRM, and create an email draft. The steps include setting up forms, connecting APIs, and testing the automation.

  The video explicitly covers Claude and is aimed at intermediate users.

Nick Saraev (2 new videos)

• How to Build Mobile Apps with Claude Code: Full Course (2026)
  11.5.2026, 17:51:20

  **AI Tools/Providers covered:** Claude, OpenAI, Gemini, Open-Source, specific tools like Cursor, Lovable, Cline, n8n

  **Target audience:** Intermediate

• How to Use Claude Code for FREE (2026)
  2.5.2026, 01:02:11

  The video shows how to use Claude Code for free by using an open-source alternative called “Free Claude Code”. This alternative enables the use of the same Claude Code interface but with cheaper backend models that offer approximately 80-90% of the quality of Opus 4.7 at 2-5% of the cost. The creator demonstrates setup and usage of this alternative by building a simple habit-tracking app. Various models and platforms like Open Router, NVIDIA NIM, and Ollama are introduced, which can serve as backends for the free Claude Code alternative. The creator also shows how to set up and use these models, as well as how to optimize quality and costs by combining different models. The video targets intermediate users who already have experience with Claude Code and are looking for a cost-effective alternative. Specific tools and models such as DeepSeek V4 Flash, GLM 4.7, and Gemma 4 are covered.

Leon van Zyl (10 new videos)

• Claude Code Builds Portfolio Websites That Look Like This
  19.5.2026, 14:00:24

  In this video, Leon demonstrates how to design a personal portfolio website that looks and functions like a Coding Agent CLI (similar to Claude Code). The process starts with creating a new Next.js project and installing skills like “next best practices” and “front end design”. Leon uses Claude Code to build the website by employing specific prompts that generate a terminal-like user interface and animated responses. The website can be connected to a knowledge database, allowing visitors to ask questions and receive answers. Leon also shows how to deploy the website on a hosting platform and automatically update it when code changes are made.

  The video explicitly covers Claude Code and Next.js and is more suitable for intermediate users who already have foundational web development knowledge.

• Claude Code Agent View: Parallel Agents Are Here
  14.5.2026, 10:51:58

  The video reports on a complex supply chain attack targeting open-source packages in the npm ecosystem, affecting over 100 packages with more than 50 million weekly downloads. The attack exploited a vulnerability in Tanstack’s release process by having an attacker create a pull request in a repository fork, triggering the CI/CD workflow. Using the “pull request target” option, the attacker was able to inject malicious files into the shared CI server cache, which later stole a valid npm publish token and subsequently published compromised package versions. The malware spread further by searching for additional npm publish tokens and infecting more packages, including those from Mistral AI, UiPath, and Open Search. The malware deeply integrated into developer environments and even employed a “Dead Man Switch” that would delete the root directory of infected systems upon detection.

  To defend against such attacks, the video recommends using PNPM 1 or higher, which offers features like “minimum release age”, “block exotic subdependencies”, and “approved builds” to prevent installation of malicious packages. Additionally, Sentry is presented as a tool for production error debugging that works with an AI-powered agent called Seir to automatically investigate and fix issues.

  The video covers specific tools like PNPM, Sentry, and Seir Agent and is targeted at intermediate to advanced users.

• Codex CLI Full Tutorial: Build Your First AI Image Generator from Scratch
  11.5.2026, 11:17:21

  This video walks through building an AI image studio step-by-step for creating YouTube thumbnails, posters, banners, and other graphic content. The process starts by setting up a Next.js project using the Codec CLI tool, which is based on GPT-5.5 and a high reasoning level. A database is configured using Docker and Postgres, and the necessary tables for user authentication are migrated.

  The focus is on designing a user-friendly interface that allows users to upload reference images, write prompts, and generate images. The developer leverages Codec’s capabilities to design and test the user interface while adhering to a predefined design system. After designing the interface, the actual functionality is implemented using an OpenAI API key for the GPT-4 image model. The developer shows how to upload reference images and assets, and how to generate thumbnails that combine these elements.

  At the end, the user interface is adjusted to ensure image generation only occurs through the dashboard and not from the homepage. The homepage is redesigned with a generated image and marketing text. The video emphasizes the efficiency and time savings gained through using Codec and OpenAI, while also noting token limitations of the ChatGPT Plus plan.

  The video explicitly covers OpenAI (GPT-5.5, GPT-4 image model) and Codec. It is targeted at intermediate and advanced users as it covers advanced concepts like Docker, Postgres, Next.js, and API integration.

• Create Custom OpenCode Agents #Shorts #OpenCode #AICoding
  10.5.2026, 07:00:16

  The video shows how to create custom agents in OpenCode. By default, there are two agents: “build” and “plan”. To create a custom agent, you run the command `open code agent create` in the terminal. Next, you provide a description of the agent, for example, that an agent named John responds only with emojis. After creation, you can use the spacebar to define which functions or tools the agent can access. Additionally, you select the agent mode: either for primary and subordinate roles or only as a subordinate agent. The video demonstrates creating a subordinate agent named John and shows how the main agent delegates a task to John. You can track the subordinate agent’s work and view its reasoning and outputs. Finally, it is emphasized that this is only a demonstration and in practice you could use more specific system prompts and tool access for subordinate agents.

  The video covers OpenCode and is suitable for intermediate users.

• OpenCode’s Best Hidden Feature #Shorts #OpenCode #AICoding
  9.5.2026, 07:00:19

  The video explains how to set different models for different modes in Open-Source Code. For example, you can use a powerful model like GPT-5 for planning mode and a fast and cost-effective model like Big Pickle for implementation mode (Bold Mode). Alternatively, you can use GPT-5.5 for planning but reduce effort by selecting the “/variants” command with the “low effort” option. This way, planning is handled by an intelligent model while implementation can be handled by a less powerful but faster model.

  The video covers open-source models and is more suitable for intermediate users.

• I Turned Hermes Agent Into a Coding Agent
  8.5.2026, 11:02:33

  The video shows how to use the Hermes Agent as a coding agent to create a web app and deploy it online. The process includes setting up the Hermes Agent on a VPS, integrating it with Telegram for communication, installing the Vercel CLI tool for deployment, and configuring the necessary skills for the agent. The creator tests whether the agent can create a personal portfolio page by scraping information from the creator’s YouTube channel and building an attractive frontend design. The agent successfully creates the app, deploys it on Vercel, and provides a public URL that opens the app in a browser. The video also shows that the agent can make changes to the app and automatically deploy them.

  The creator concludes that Hermes works as a coding agent for simple tasks and quick dashboards but not for complex software projects. The video explicitly covers Hermes Agent, OpenAI Codex, GPT 5.5, Vercel, and Telegram. It is targeted at intermediate and advanced users.

• This free OpenCode trick saves thousands #opencode #aitools #hacks
  7.5.2026, 13:38:39

  The video explains how to use free AI models for code generation in OpenCode. To do this, you first run the “connect” command and search for “OpenCode Zen” under the provider. Then you generate an API key through a provided URL, which is free. After entering the API key, you get a list of supported models including Big Pickle, HY3, Miniax M2.5, and Neurotron 3 Super from Nvidia. These models are powerful and completely free.

  The video covers OpenCode and OpenCode Zen and is targeted at intermediate users.

• I Built a Coding Agent That Runs Locally for Free
  6.5.2026, 12:25:00

  The video introduces the open-source tool “Honeyfree”, which allows you to autonomously plan and implement software projects. You describe to the tool what you want to build, and it plans features, adds them to a Kanban board, and automatically implements them. The tool supports various models like Alum Studio and Ollama and can break down complex tasks into smaller features. The user demonstrates creating a simple To-Do app and shows how to add and implement new features. The video emphasizes that this is now possible with free models, which wasn’t the case a few months ago. It also explains how to download models like Qwen 3.6 or JML4 and use them in Alum Studio or Llama Studio. The user recommends increasing the context window length of models to at least 64,000 tokens for better performance. The video also shows how to install and set up Local Forge to create and manage projects. It’s noted that while free models are good at writing code, they require more detailed instructions for better results. The user recommends using a paid model like Claude for planning features while using free models for actual implementation. The video ends with an invitation to sign up for a masterclass course that teaches building applications with coding agents.

  The video covers open-source models like Qwen 3.6 and JML4 as well as tools like Alum Studio, Llama Studio, and Local Forge. It is more suitable for intermediate and advanced users who already have experience using AI models and developing software.

• OpenCode Tutorial for Beginners: Setup, Agents, Skills & MCP
  5.5.2026, 12:33:17

  The video is a tutorial showing how to use Open Code, an open-source AI tool, to build a Next.js application. The process begins with installing and setting up Open Code, including connecting to various AI models and providers, both free and paid. The tutorial demonstrates how to add agent capabilities like frontend design and Next.js skills to improve code generation quality. It also shows how to use memory files and design systems to increase the agent’s consistency and efficiency. The tutorial continues with creating an application that allows users to input a rough app idea and receive a detailed project plan. The agent uses subagents to execute tasks in parallel and protect the main context. At the end, the application is tested and improved, with the agent completely redesigning the UI and running automated tests. The video is suitable for intermediate and advanced users interested in AI-powered coding tools.

  AI Tools/Models/Providers: Open Code (open-source), OpenAI, Anthropic, Gemini, OpenRouter, BigPikko, HY3, Minimax, Nvidia, Vercel, Cintra AI.

• I Built a Full App Using Only Cursor AI
  4.5.2026, 11:01:35

  In this video, an AI-powered YouTube summarizer is developed using the Cursor tool. The process starts with creating a user interface that takes a YouTube URL and provides a summary of the video. The requirements include a short summary (TLDR), five to eight key points, a “Watch these moments” section with timestamps and descriptions, and the original video link.

  The creator uses Cursor and chooses the Composer 2 model to scaffold the project. They install Next.js and the Shad cn library for the user interface. With the help of Cursor’s agents, a basic user interface is created that meets the requirements. Next, functionality is added to retrieve the transcript of a YouTube video using the YouTube Transcript API.

  For AI-powered summarization, Cursor’s AI SDK is used to return structured data. The creator chooses the “anthropic/claud-2” model from OpenRouter and integrates the API key in an .env file. The agent then generates the summary, including the TLDR, key points, and recommended moments from the transcript.

  The video explicitly covers the tools Cursor, Composer 2, Next.js, Shad cn, YouTube Transcript API, AI SDK, and OpenRouter. It is more suitable for intermediate and advanced users.

Tim Carambat (7 new videos)

• Llama.cpp Just Merged MTP And You Should Be Using It.
  18.5.2026, 17:45:34

  The video covers the introduction of Multi-Token Prediction (MTP) in Llama CPP, a popular tool for running AI models locally. MTP enables up to 25% faster token processing without quality loss by predicting multiple tokens simultaneously. The speaker, Timothy Carbat, explains how MTP works and compares it to speculative decoding (SSD), which requires two models, while MTP uses only one. He demonstrates how to enable MTP in Llama CPP and which models support it, including Deepseek V3 and V4, Neotron 3, Qwen 3.5 and 3.6, and Gemma 4. Carbat demonstrates performance improvements through a benchmark with the Qwen 3.59B model and emphasizes the importance of adjusting the parameter for the number of predicted tokens (n_max). He concludes by noting that such software improvements make local AI usage more efficient and sustainable.

  The video explicitly covers Llama CPP, Deepseek, Neotron, Qwen, and Gemma 4, and is aimed at intermediate and advanced users.

• A New AI Model Just Dropped With A CRAZY Claim.
  5.5.2026, 19:02:32

  The video discusses the announcement of a new model called SubQ from Sub Quadratic, featuring a 12-million-token context window and claiming 52x higher efficiency compared to existing models. The creator, Timothy Karen, expresses skepticism due to missing technical papers and unclear benchmarks. He explains the underlying technology based on sparse attention and compares it with conventional and Flash Attention mechanisms. The benchmarks show the model performs well in certain tests like SWEBench verified and MRCRV2, but it’s unclear whether these results apply to the 12-million-token model or a 1-million-token preview. Timothy Karen has applied for early access and will share the results in a future video.

  The video explicitly covers the SubQ model from Sub Quadratic and is aimed at intermediate or advanced viewers.

• Hey Anthropic, That Looks Illegal?
  29.4.2026, 21:41:25

  **Summary:**

  Timothy Carbat reports from San Francisco, where he’s attending the AMD AI Dev Day and discussing the use of local models. He criticizes the narrative that AI can replace people, emphasizing that AI is a tool that should be used by humans.

  A central topic of the video is the “enshittification” of AI tools, particularly Claude. Anthropic attempted to remove Claude Code access from certain subscriptions and later reversed this decision. Additionally, there was a billing problem where users with certain character strings in their Git history were incorrectly charged additional fees. This led to negative user backlash as Anthropic initially refused refunds but later offered a solution.

  Carbat argues that such issues suggest companies like Anthropic are resorting to questionable practices due to cost concerns. He recommends using open-source tools like pi.dev or Hermes Agent combined with local models to avoid these problems.

  **Final Comment:**
  The video explicitly covers Claude from Anthropic and open-source tools like pi.dev and Hermes Agent, aimed at intermediate users.

• The Cloud AI Situation is Bad.
  28.4.2026, 17:00:17

  The video discusses the “enshittification” of AI tools—the degradation of services and products over time, often accompanied by price increases and removal of features. The author uses examples like Airbnb, Uber, and Netflix to illustrate this phenomenon but focuses mainly on AI-specific examples like GitHub Copilot and Claude Code. GitHub Copilot plans were severely restricted, models were removed, and terms of service worsened, resulting in significant service degradation. Similarly, Claude Code saw features removed and usage limits introduced, negatively impacting user experience. The author argues that these developments indicate cloud-based AI services are unsustainable long-term and that local AI solutions are the better alternative. Local AI models offer stability as they don’t depend on external factors like price increases or feature removals. Moreover, local models are now powerful enough to handle many tasks previously done via the cloud. The author emphasizes that local AI is the future and that many tasks, particularly productivity and coding-related ones, could shift to local machines in the near term.

  Final Comment: The video explicitly covers GitHub Copilot, Claude Code, and local AI solutions like Anything LLM. It’s aimed at intermediate and advanced users interested in technical and economic aspects of AI.

• DeepSeek V4 Is Here And It Has 1 Million Token Context??
  24.4.2026, 11:00:51

  The video covers the release of DeepSeek V4, a new local language model that includes two variants: DeepSeek V4 Flash (284 billion parameters, 13 billion active parameters) and DeepSeek V4 Pro (1.6 trillion parameters, 49 billion active parameters). Both models support a context window size of one million tokens, enabled by new technology that reduces KV-cache memory requirements by up to 90%. This technique, based on hybrid attention architecture, could become relevant for smaller models in the future. The models show improved benchmark results compared to earlier DeepSeek versions, particularly at maximum thinking levels. However, compared to leading cloud models like GPT-4.5 and Opus 4.6, they only perform well in some benchmarks. The technical innovations, particularly more efficient context window utilization, are highlighted as significant. The video is aimed at intermediate and advanced users interested in local language models and technical innovations.

  **AI Tools/Models/Providers:** DeepSeek V4 (Flash and Pro), TurboQuant, Opus, GPT-4.5, open-source models.

• 27B Beats 397B?! The New Qwen 3.6 Is All About Efficiency
  23.4.2026, 18:15:01

  The video covers the latest version of the Qwen model, Qwen 3.6 27B, and places it in context with previous Qwen series models. The author, Timothy Carbat, founder of Anything LLM, focuses on local models and their benefits regarding privacy and cost savings compared to cloud models.

  Qwen 3.6 27B is described as promising, particularly due to its multimodality and capabilities in the Software Engineering Benchmark (SWE bench). The author compares the model’s performance with earlier Qwen versions as well as cloud models like Claude 4.5 Opus and Gemini. It’s noted that Qwen 3.6 27B performs well in some benchmarks, though some nuances and potential biases in benchmark results are discussed.

  The author emphasizes the importance of transparency when reporting benchmark results and cautions against uncritically accepting them. He speculates that Qwen 3.6 Plus, an API-based version, might be an earlier checkpoint of Qwen 3.6 27B, given the similarity in benchmark results.

  In summary, Qwen 3.6 27B is presented as a model worth looking into due to its intelligence density and multimodality, particularly for users who prefer local models. The author plans to test the model himself and share his experiences with the community.

  The video explicitly covers the Qwen model (open-source) and is aimed at intermediate to advanced users.

• I Just Tried The Brand New Ternary Model And It's Great!
  21.4.2026, 19:38:40

  The video covers the development and significance of one-bit and ternary models in local AI. The speaker, Timothy Carbat, founder of Anything LLM, explains that one-bit models reduce the complexity of conventional LLMs (Large Language Models) by restricting weights to 1 or 0. This enables significant reduction in memory requirements, allowing large models like 8B models to run on devices like smartphones or low-end laptops. However, there is a slight accuracy loss compared to the original 16-bit models.

  Prism ML, a startup with researchers, developed a practical one-bit model called BitNet that is actually usable and provides a good balance between accuracy and efficiency. Recently, Prism ML introduced a ternary model that adds an additional “0” to the one-bit system, further improving accuracy while keeping memory requirements significantly lower than conventional models. These ternary models offer nearly the same accuracy as 16-bit models but with a fraction of the resources.

  The speaker demonstrates how to install and run a ternary model on a MacBook M4 Max with 48 GB RAM by explaining the necessary steps and commands. He also shows how to integrate the model into Anything LLM to perform various AI-assisted tasks. Finally, he discusses the future of one-bit and ternary models and speculates whether larger models than 8B can be developed with the same efficiency.

  The video explicitly covers one-bit and ternary models, particularly those developed by Prism ML. It’s aimed at intermediate and advanced users interested in technical implementation and the benefits of local AI models.

WorldofAI (10 new videos)

• Hermes Agent v2.0! Huge New Updates: WebUI, Qwen 3.6 Plus FREE, Computer Use, & More!
  13.5.2026, 05:08:59

  This video introduces the latest updates to Hermes Agent, an open-source AI agent that continuously evolves and can run on your own infrastructure. The key new features include:

  1. **Computer Use Feature**: Hermes can now control your computer in the background without taking over your PC. This currently works only on macOS, but support for Windows and Linux is planned. The feature is compatible with various AI models like Claude, GPT-4, Gemini, and local open-source models.

  2. **Integration of Alibaba’s Qwen 3.6 Plus**: This powerful model is now integrated into Hermes and offers long context windows and multimodal capabilities. It’s available free for a limited time.

  3. **Light Panda Integration**: An integrated, open-source browser backend specifically designed for AI workflows. It provides improved browser automation and reliability.

  4. **Kanban Board**: A new Kanban board enables creation of unlimited boards and projects, orchestration of multiple agents, and task management through a dashboard.

  5. **/goal Command**: A long-term autonomous goal mode function that continuously plans, executes, verifies, and retries on errors until the goal is achieved.

  Additionally, minor updates like voice cloning and multilingual support have been introduced. The video recommends Tiny Fish for web automation tasks and highlights Hermes’ open-source nature, making it a versatile tool for AI workflows.

  This video explicitly covers Hermes Agent, open-source models, Tiny Fish, and is aimed at intermediate to advanced users.

• Claude Code Agent View IS INSANE! Huge New Update Introduces /goal, sessions, & More!
  12.5.2026, 07:03:39

  This video presents the latest updates to Anthropic Cloud Code, a tool for agent-based development. The key new features include:

  1. **Agent View**: A central interface for managing all Cloud Code sessions. This enables running and managing multiple coding sessions in parallel within a single dashboard. Users can switch between sessions without losing context and run background tasks.

  2. **/goal Feature**: A function that allows starting autonomous executions with a defined goal. The agent works independently until the goal is achieved and is usable in various workflows and on mobile devices.

  3. **/radio and Claude FM**: An integrated lo-fi radio station designed to enhance user experience.

  4. **Improved System Prompt Compaction**: Prompt trimming has been optimized to better preserve sensitive instructions and user intent without showing explicit context reduction warnings.

  The video discusses the benefits of these updates, particularly for complex agent-based coding workflows, and mentions the possibility of using Depot CI for faster and more consistent CI/CD pipelines. However, a critical note is made about Cloud Code’s limited token usage, which could restrict practical applicability.

  Closing comment: This video explicitly covers Claude (Anthropic) and Depot CI and is aimed at intermediate to advanced users.

• Hermes Agentic OS is The Future
  11.5.2026, 07:07:11

  This video introduces Hermes Agent, an open-source project from Mistral AI conceived as a persistent autonomous system that continuously learns and evolves over time. It can run 24/7 on your own infrastructure, build long-term memories, develop reusable skills, and gain deeper understanding of the user. The author demonstrates how Hermes Agent combined with ION UI can be developed into an agent-based operating system (AIOS) capable of managing multiple autonomous AI agents that execute complex multi-step tasks without constant human supervision. ION UI is a free open-source co-work platform that allows AI agents like Hermes to work directly on the user’s computer, reading and managing files, writing and executing code, browsing the internet, automating workflows, and working directly alongside the user as a co-worker. The video shows how to install and configure Hermes Agent and ION UI, as well as various use cases such as creating a financial dashboard in Excel, organizing desktop files, and generating a report on rural EV charging infrastructure. The author emphasizes the system’s ability to perform various tasks simultaneously and continuously improve, making it a powerful tool for automation and efficiency gains.

  This video explicitly covers Hermes Agent and ION UI and is aimed at intermediate and advanced users.

• Gemini 3.5 Flash: Google’s Most Powerful Model Ever! Beats Opus 4.7 & GPT 5.5? (Fully Tested)
  20.5.2026, 06:43:51

  This video discusses the introduction of Google Gemini 3.5 Flash, a new fast and efficient model unveiled at the Google IO developer conference. The author has mixed feelings about it, as while technically impressive, it also has some drawbacks. The model is faster and stronger in code editing than previous versions, but it’s also more expensive and consumes more tokens. It excels at complex tasks like planning and understanding large codebases, but costs can be higher than alternative models. The author tests the model across various domains such as frontend design, SVG generation, and 3D world creation, finding it performs very well in these areas. However, there are also some weaknesses, such as excessive ambition and high token consumption leading to truncation in large projects. Overall, the author considers the model a solid release from Google, particularly for Google subscription users. The video is more suitable for intermediate and advanced users and explicitly covers the Google Gemini 3.5 Flash model.

• Google I/O LEAKED! Gemini Desktop App, Veo 4, Qwen 3.7, Composer 2.5, Mythos Soon, & More! AI NEWS
  19.5.2026, 06:45:31

  This video summarizes the week’s major AI news, focusing on Google, Anthropic, Alibaba, Cursor, and others. Google is about to release new Gemini models, including Gemini 3.5 Flash, which should deliver high speed and efficiency. There are leaks about new features like a Gemini desktop app enabling local agent workflows and Google Drive integration. Google may also unveil VIO 4, a new video generation model. Anthropic is possibly preparing the launch of Claude Mythos, while Alibaba has released Qwen 3.7, a new multimodal model competing with top models like GPT 5.5 and Gemini 3.1 Pro. Cursor has released Composer 2.5, which tests show can keep pace with Opus 4.7 while being more cost-efficient. Open Design introduced new integration functionality with Codex simplifying UI generation. HRM text, an ultra-lightweight model with only 1 billion parameters, shows promising results with minimal training effort. Boston Dynamics presented a video of its humanoid robot Atlas carrying and manipulating a refrigerator, demonstrating advances in combining physical control and AI.

  This video explicitly covers Google (Gemini, VIO 4), Anthropic (Claude Mythos), Alibaba (Qwen 3.7), Cursor (Composer 2.5), open-source tools (Open Design, HRM text), and Boston Dynamics (Atlas). It’s aimed at intermediate and advanced users.

• Hermes Agent Foundation Update: Real-Time Agents, DeepSeek V4 FREE, Native Windows Support, & More!
  18.5.2026, 06:16:23

  This video covers the latest version 0.14.0 of the open-source AI agent Hermes, developed by Nous Research. The key updates include:

  1. **Local Proxy Feature**: Enables using a single subscription (e.g., Claude, ChatGPT, Grok) for various tools and agents without separate API keys.
  2. **Windows Support**: Native support for Windows in beta phase, simplifying installation and usage.
  3. **Performance Improvements**: Faster startup times, optimized browser automation, and improved caching mechanisms.
  4. **Video Generation**: New capability for autonomous video creation within workflows.
  5. **Supergrok Integration**: Direct support for Grok’s Supergrok subscription, including access to Grok 4.3, text-to-speech, image and video generation, and X-Search.
  6. **Handoff System**: Enables seamless switching between models or personas without context loss.
  7. **Further Improvements**: Integrated X-Search, Vision Model Support, Discord History Backup, LSP Semantic Diagnostics, and more.

  This video is more suitable for intermediate to advanced users and explicitly covers open-source tools like Hermes Agent, N8N, and Grok.

• Stop Paying $200/Month for Claude Code! Here’s a FREE Option!
  17.5.2026, 05:59:20

  This video introduces Mistral Vibe, an open-source and partially free tool for AI-assisted development, positioned as an alternative to Claude Code and Cloud Code. Mistral Vibe is a terminal-based AI coding agent that can write, test, refactor, and even deploy code. It supports asynchronous tasks, integrates with tools like GitHub, Jira, and Slack, and offers customizable agent workflows to automate long-term tasks. Particularly highlighted are capabilities for documenting shell aliases, creating sub-agents for specific tasks like PR reviews and test generation, and using slash commands for repetitive tasks. The tool is free and open-source, with the option to use your own API keys. For heavy usage, there are paid plans like Lay Chat Pro ($14.99/month) and Late Chat Team ($24.99/seat/month), with students receiving 50% discount. Installation is simple via Bash or Python methods, with additional integrations for VS Code and JetBrains IDEs.

  The video demonstrates installing and basic usage of Mistral Vibe, including creating a frontend landing page and generating tests for a codebase. It emphasizes that Mistral Vibe enables efficient automation through asynchronous agents and parallel execution. The conclusion recommends Mistral Vibe as a cost-effective and powerful alternative to existing tools, particularly for developers seeking terminal-based automation.

  **Closing comment:** This video covers Mistral Vibe (open-source) and is aimed at intermediate and advanced users.

• Gemini 3.5 Flash + Pro: Powerful, Cheap, & Fast NEW AI Model! (Fully Tested)
  16.5.2026, 06:11:06

  This video discusses the latest developments and leaks regarding Google’s Gemini models, particularly the Gemini 3.5 checkpoints set to be unveiled at the upcoming Google IO conference. Initially, the Gemini 3.2 variants (Fanta, Sprite, Cola) and Pro version were presented, which were good but not revolutionary. However, the latest checkpoints, internally called “Cappuccino,” show impressive progress. Particularly noteworthy is the model’s ability to generate complex applications like a Minecraft clone or Mac OS clone with detailed and consistent outputs. The Gemini 3.5 Flash variant demonstrates strong improvements in code generation, aesthetic design, and spatial consistency, though it sometimes remains too repetitive and cluttered in UI generation. There are also hints at a secret testing phase of the Gemini 3.1 Pro variant, which also delivers promising results.

  This video explicitly covers Google’s Gemini models and is aimed at intermediate to advanced users interested in the latest developments in AI technology.

• Codex + Ollama = Free Unlimited Coding AI
  15.5.2026, 06:48:19

  This video explains the integration of Ollama into OpenAI’s Codex, which enables using open-source models locally on your own computer. Codex is an AI coding agent that assists with developing, editing, reviewing, and deploying software. Ollama allows running open-source models like Deepseek, Gemma 4, or Qwen 3.6 locally. The combination of both tools enables using these models for free in Codex. The video shows step-by-step how to install Ollama, host a model like Gemma 4 locally, and connect it to Codex. It demonstrates how to accomplish tasks in Codex using the locally hosted model, such as creating a landing page. It also explains how to switch back to the original Codex experience.

  This video explicitly covers OpenAI’s Codex and Ollama and is more suitable for intermediate users.

• Anthropic’s Downfall? GPT-5.6, Gemini 3.2, Robots Running A Full 8-hr Shift, & Qwen 3.6 Plus FREE!
  14.5.2026, 06:39:49

  This video covers current developments in AI technologies, particularly from Google, OpenAI, and Anthropic.

  Google is intensively testing new Gemini 3.2 variants, including Flash and Pro versions, which have yielded rather disappointing results so far. Front-end generation shows weaker performance compared to earlier versions, and expectations for the new models haven’t been met. Additionally, an unreleased Google multimodal video model has been leaked, showing promising but still early-stage results.

  OpenAI is working intensively on GPT 5.6, with internal testing and potential releases in June. There are hints of improved safety reviews and possible new variants like Ember Alpha and Beacon Alpha.

  Anthropic has increased weekly limits for Cloud Code, but this has drawn criticism as third-party agents have simultaneously been shifted to a separate, paid API credit system. This leads to higher costs for developers and is criticized as lacking transparency and addressing infrastructure issues.

  Further updates include introduction of a fast mode for Cloud Code, an upcoming major update to Google’s Jewels, and continuous improvements to Hermes Agent, a self-improving open-source AI agent. Additionally, Figure AI presented an impressive robot demo with humanoid robots working autonomously in a warehouse.

  This video explicitly covers Google’s Gemini, OpenAI’s GPT, Anthropic’s Cloud Code, and open-source tools like Hermes Agent. It’s aimed at intermediate and advanced users interested in the latest developments and technical details in the AI industry.

AI and Strategy | Le SamourAI (1 new video)

• AI costs 85% less this week. You need to act on it.
  27.4.2026, 14:59:21

  The video analyzes strategic movements in the AI infrastructure and models space, particularly the impact of introducing Deepsic V4 in collaboration with Huawei. It draws a historical parallel to the Swiss watch industry and Japanese quartz technology to illustrate current dynamics in the AI market. Deepsic V4 is an open-source model specifically optimized for Huawei’s Chinese hardware, representing an alternative to US-dominated solutions like Nvidia and CUDA. The video discusses the strategic implications of this development, including potential impacts on OpenAI and Anthropic, as well as long-term effects on the AI market and the job landscape.

  The video explicitly covers Deepsic V4, Huawei, OpenAI, Anthropic, Nvidia, CUDA, and Google. It’s designed more for intermediate and advanced viewers.

Matt Pocock (6 new videos)

• Anthropic’s “dedicated monthly credit” is actually a huge cut
  13.5.2026, 20:12:51

  The video covers an important announcement from Anthropic regarding the use of Claude for programmatic purposes and AFK workflows (Away From Keyboard). Starting June 15, paid Claude subscribers will receive monthly credits for programmatic use, covering the Claude Agent SDK, Claude P, Claude Code, GitHub Actions, and third-party apps. The creator explains that while this change is technically a bonus since additional credits are being provided, for users primarily using AFK workflows it represents a significant reduction in usage limits. This is because previous subscriptions were often substantially cheaper than API credits. The creator discusses the impact of this change and mentions he may switch to alternatives like Codeex or OpenAI, as these don’t distinguish between AFK and human-in-the-loop usage. He emphasizes that the clarity of the new rules is positive, even if they are restrictive for AFK users.

  The video explicitly covers Claude (Anthropic) and alternatives like Codeex and OpenAI, and is geared toward intermediate to advanced users.

• New Skills! /handoff, /prototype, /review and /writing-* | Skills Changelog
  12.5.2026, 09:56:10

  The video showcases the latest updates and improvements to a repository of AI Skills that recently reached 70,000 stars on GitHub. The main new features are two new Skills:

  1. **Handoff Skill**: This Skill creates a handoff document that summarizes the current conversation, allowing a new agent to continue the work. The document is stored in a temporary file and includes suggestions for Skills that should be used in the next step. The Skill is particularly useful for switching between different context windows without losing important information. There are two main usage patterns: “Fire and Forget” and “DIY Sub Agent”.

  2. **Prototype Skill**: This Skill assists with creating prototypes, particularly in UI development and logic prototyping for stateful applications. The Skill generates multiple UI variants and enables you to test and refine them interactively before implementation.

  Additionally, some bug fixes were presented, including an improvement to the “Grill with Docs” Skill through the use of XML tags to control information prioritization, and an adjustment to the “To PRD” and “To Issues” Skills to use the correct labels.

  There’s also a preview of two Skills in development: one for writing text (Tripart Skill) and one for code reviews. The Tripart Skill helps structure text fragments into a complete story or article, while the Code Review Skill checks compliance with coding standards and correct implementation of requirements.

  Finally, a documentation website is mentioned that includes videos for each Skill and a newsletter to stay informed about the latest developments.

  The video explicitly covers Claude usage and is geared toward intermediate to advanced users.

• Burn through the backlog from hell with /triage
  7.5.2026, 15:00:43

  The video introduces a tool called “Triage” specifically designed for managing GitHub Issues and other backlogs. It helps transform unstructured ideas and bug reports into clear, actionable tasks that can be handled by AFK agents (autonomous AI agents). The tool uses a state machine system with two categories (Bug and Enhancement) and five states (such as “needs triage”, “ready for agent”, “won’t fix”) to clearly classify each issue. Users can go through individual issues or their entire backlog to categorize them and handle them directly if needed. The video shows a live demo where the creator applies the tool to his own repository “Sand Castle” to triage issues and even fix them directly. The integration with other Skills, such as the “Diagnose” Skill, which automatically reproduces and fixes bugs, is also demonstrated. The tool is designed to facilitate collaboration between human developers and AI agents by providing a clear structure for task management.

  The video explicitly covers Claude usage and is geared toward intermediate or advanced users who already have experience with GitHub, backlog management, and working with AI agents.

• I Open-Sourced My Own AFK Software Factory
  30.4.2026, 13:28:38

  The video demonstrates how to orchestrate AI coding agents in isolated sandboxes using the TypeScript library “Sand Castle” to run them completely autonomously (AFK). The author explains that he tried various solutions but had issues with Docker sandboxes. Therefore, he developed Sand Castle, which allows you to control agents with simple TypeScript functions. The video demonstrates setting up Sand Castle in a repo, selecting an agent (e.g., Claude Code) and a sandbox (e.g., Docker), and using GitHub Issues as a backlog manager. It shows how to create a Docker image, set required environment variables, and create a GitHub Issue that gets processed by the agent. The author explains the structure of the main.ts file, which orchestrates different agents (Planner, Implementer, Reviewer, Merger) and how these agents work in parallel and merge code commits. At the end, it shows how the agent creates a TypeScript template with tests and CI scripts and merges the changes into the main branch.

  The video explicitly covers Claude (Anthropic), Docker, and GitHub and is geared toward intermediate or advanced users.

• I stopped using /grill-me for coding. Here’s what I use instead:
  14.5.2026, 14:22:56

  The author introduces a new tool called “Grill with Docs”, which represents an improved version of the previous “Grill Me” Skill. The original “Grill Me” Skill interviews the user to reach a shared understanding and make decisions step by step. However, the author found that “Grill Me” often took too much time and didn’t document all relevant information. Therefore, he developed “Grill with Docs”, which uses a shared language (Ubiquitous Language) from Domain-Driven Design to improve communication between user and AI. This new tool looks for a “context.md” file that documents the shared language and updates it during the session. It helps sharpen unclear language, discuss concrete scenarios, and link them to the code. The author demonstrates using “Grill with Docs” in a practical example and shows how it improves the efficiency and clarity of communication with the AI. He emphasizes that “Grill Me” remains useful, but “Grill with Docs” is better suited for projects with a codebase.

  The video explicitly covers Claude AI models and is geared toward intermediate or advanced users.

• Anthropic’s “dedicated monthly credit” is actually a huge cut
  13.5.2026, 20:12:51

  The video addresses the problem of AI-accelerated software entropy, where codebases deteriorate faster because changes are often made without considering the entire codebase. The author presents his method for rescuing such codebases by drawing on software fundamentals and his improved codebase architecture capability. He explains key concepts such as modules, interfaces, implementations, deep and shallow modules, dependency graphs, seams, and adapters, which come from John Ousterhout’s book “A Philosophy of Software Design”. Deep modules are particularly valuable because they hide much implementation behind a simple interface, thus increasing maintainability and utility. The author demonstrates the application of these concepts to his own codebase by using Claude’s “Improve Codebase Architecture” capability to identify and implement improvements. He emphasizes the importance of tests and the need for strategic decision-making by the developer, as while AI agents can be good tactically, they require strategic guidance. The video is aimed at intermediate to advanced developers who want to improve their codebases and leverage the benefits of deep modules. (Claude, Intermediate/Advanced)

Coding with Lewis (8 new videos)

• How Meta Went From Open Source Hero to AI’s Biggest Villain
  15.5.2026, 15:04:55

  The video tells the story of Meta and its open AI model Llama, released in 2023 and downloaded over a billion times within two years. Meta was praised for its open and accessible approach to AI, enabling developers to use and build upon the model on their own hardware. Llama 2 and Llama 3 followed, demonstrating impressive performance, with Llama 3.1 even competing with the best closed models from OpenAI and Google. However, Meta’s success was overshadowed by the release of DeepSeek v3 by a Chinese AI lab, which achieved similar performance at a fraction of the cost. This pressure led Meta to release Llama 4, which ultimately became a disaster. Llama 4 was released on a Saturday without warning, revealing three models, one of which, Behemoth, was still in development. Llama 4’s claimed performance was quickly questioned when developers and researchers discovered the models didn’t meet the promises and that Meta had used manipulated benchmarks. The community responded with disappointment and distrust, and Meta lost the trust it had built over years. The story demonstrates how crucial honesty and transparency are in the open AI community and how quickly trust can be lost.

  The video explicitly covers Meta’s Llama models and is better suited for Intermediate or Advanced viewers.

• How a GitLab engineer DESTROYED their main database…
  13.5.2026, 17:12:24

  The video tells the story of a severe data loss incident at GitLab in 2017, when an engineer accidentally deleted the production database. The engineer was trying to fix a replication issue during a spam attack and mistakenly deleted the primary database instead of the secondary. This resulted in the entire platform going down, as all backup systems failed. GitLab was only able to restore a six-hour-old staging server snapshot, causing six hours of user data to be lost. The recovery was livestreamed, with over 5,000 viewers following the process. GitLab subsequently published a detailed postmortem report, regarded as one of the most transparent in the tech industry. The incident underscores the importance of regular backup testing and the need to review backup strategies.

  The video covers GitLab and is better suited for Intermediate and Advanced users.

• The software that powers EVERY video online
  11.5.2026, 17:12:28

  The video introduces FFmpeg, a free and open-source tool used for processing video, audio, and other media formats. Developed in 2000 by Fabrice Bellard, FFmpeg can convert, cut, compress, stream, and remix virtually all media formats. Despite its complex command-line interface, it’s used by major tech companies. In 2011, a governance debate led to the fork of Libav, though it was later abandoned. FFmpeg is run by a small group of developers without external funding and remains a central tool in media processing.

  The video explicitly covers FFmpeg and Libav and is better suited for Intermediate and Advanced users.

• The Crazy History of Docker 🐳
  1.5.2026, 17:16:43

  The video explains Docker’s importance to software development and how it solved the incompatibility problem between local and server environments. Released in 2013, Docker enables developers to package applications and all necessary dependencies in a container, so the application runs identically everywhere. Although Docker didn’t invent containers, it made this technology accessible through simple Dockerfiles and commands. Within two years, Docker reached a million downloads and received support from major companies like Microsoft and Google. However, Docker lost the orchestration war to Kubernetes, and Docker Swarm lost significance, leading to financial difficulties. Nevertheless, the core tools survived, and Docker remains a standard tool for developers that simplifies complex Linux kernel functions.

  The video covers Docker and Kubernetes and is better suited for Intermediate and Advanced developers.

• The Code Inside Everything (That Gets Zero Credit)
  30.4.2026, 14:34:52

  The video tells the story of SQLite, the most widely used but least known software in the world. SQLite was developed by Richard Hipp, a contract engineer frustrated by the frequent outages of the Informix database on the USS DDG 79 where he worked. He decided to write his own database that doesn’t require a separate server instance but reads directly from a file. SQLite was born.

  The software was initially released as an open-source project and quickly gained popularity, especially after being used on devices like the PalmPilot and later on Motorola and AOL mobile phones. A crucial turning point was the integration of SQLite into the Android operating system, leading to explosive growth. Despite its enormous success, the team behind SQLite remained small, consisting of just three people handling all development and maintenance.

  The video highlights SQLite’s unique philosophy of avoiding dependencies and maintaining project control. This led to a strict policy of not accepting external code contributions, seen both as a strength and weakness. While this ensured SQLite’s stability and reliability, it also prevented the integration of new features demanded by the community.

  Some developers, including Glauber Costa and Pekka Enberg, decided to fork SQLite and create their own version called LibSQL, which follows a more open contribution model. They argue that SQLite’s rigid structure hinders its further development. However, Richard Hipp remains committed to his philosophy, emphasizing that he wants to continue developing SQLite his way.

  The video explicitly covers SQLite and its developers, particularly Richard Hipp. It’s better suited for Intermediate and Advanced users, as it delves into technical details and the software’s history.

• Where does “404 Not Found” even come from?
  29.4.2026, 16:33:44

  The video explains the origin of the HTTP status code 404 “Not Found” and debunks the myth that this code was inspired by a room at CERN headquarters. Instead, it explains that 4xx codes are reserved for client errors. More interesting than the technical origin is the cultural evolution of the 404 error: many companies use the 404 page as a design opportunity to incorporate creative and entertaining easter eggs, such as GitHub with a Star Wars parallax scene or Pixar with the character “Sadness” from “Inside Out”.

  The video covers HTTP status codes and their cultural reception and is better suited for a broad audience (Beginner to Intermediate).

• What a Billion Database Rows Look Like in Real Life
  24.4.2026, 15:10:21

  The video illustrates the physical size of databases by converting row counts into stacks of paper. It starts with 50 rows per sheet of paper and scales up to a billion rows, equivalent to a stack taller than any building in Canada. The comparison shows that a database with a million rows is about two meters high, while a database with 100 million rows would be about as tall as the Eiffel Tower. The video also explains how databases like Postgres use indexes to quickly query data, comparing this to manually searching through paper stacks. Real-world examples like Spotify, Uber, and Facebook are mentioned, which generate enormous amounts of data daily. The video emphasizes database efficiency compared to physical storage media and promotes Supabase as a platform for using Postgres.

  The video explicitly covers Postgres and Supabase and is better suited for Intermediate and Advanced users.

• The Humble History of 7Zip
  23.4.2026, 16:52:13

  The video introduces 7-Zip, free software available since 1999 and created by a single developer, Igor Pavlov, from Russia. 7-Zip uses the LZMA compression algorithm developed by Pavlov, which was superior in compression ratio and file size at the time. The .7z file format can compress files 30 to 70 percent better than the .zip format depending on the data type. The algorithm was adopted by various projects, including the Linux kernel, Android firmware images, and game installers. Despite an outdated user interface design, 7-Zip remains popular because it’s efficient and free.

  The video explicitly covers 7-Zip software and is better suited for Intermediate or Advanced users interested in efficient compression tools.

Julian Goldie SEO (10 new videos)

• NEW Google Updates Just Changed AI FOREVER!
  20.5.2026, 09:00:36

  The video summarizes the key announcements from the fictional Google IO 2026, focusing on major AI updates. Google has not only introduced a faster model but an entirely new way to run businesses with AI. This includes 24/7 working agents, the four times faster Gemini 3.5 Flash model, the Anti-Gravity 2.0 desktop app for controlling multiple AI agents in parallel, and Gemini Spark, a personal AI agent that continues working even after closing your laptop. The numbers underscore rapid AI adoption: Google is currently processing over 3.2 quadrillion tokens per month, and 8.5 million developers use Google’s models monthly.

  Gemini 3.5 Flash is four times faster than other frontier models, costs less than half the price, and is already capable of handling complex tasks. Anti-Gravity 2.0 enables controlling multiple agents in parallel, as a live demo showed by autonomously creating a functioning operating system. Gemini Spark can perform background tasks, access Gmail, calendar, and other tools, requesting human confirmation only for high-risk activities. Google plans to continue rolling out these technologies and integrating them into existing products.

  The speaker emphasizes that those who begin setting up their AI agent infrastructure now will have a significant advantage in six months. He also introduces an Agent OS that unifies all AI agents in a single command center to boost productivity. The video ends with a call to join the AR Profit Boardroom to gain access to this system and further resources.

  Final comment: The video explicitly covers Google’s Gemini 3.5 Flash, Anti-Gravity 2.0, and Gemini Spark and is geared toward intermediate to advanced users looking to optimize their AI infrastructure.

• NEW Antigravity 2.0 + Agent OS is INSANE!
  20.5.2026, 07:00:03

  The video introduces Google Anti-Gravity 2.0, a platform for working with AI agents that enables deploying multiple autonomous agents in parallel for various tasks. New features include dynamic subagents, scheduled tasks, artifacts for progress reporting, projects for grouping tasks, and live voice transcription. The user demonstrates how to integrate Anti-Gravity 2.0 into an Agent Operating System (Agent OS) to create centralized control for all AI agents. This enables better organization, communication, and task automation. By integrating a memory system (OMI and Obsidian), agents can perform personalized and context-aware tasks, boosting efficiency and result quality. The user demonstrates website creation, content generation, and routine task automation. He emphasizes that combining Anti-Gravity 2.0 with Agent OS and the memory system significantly improves AI agent performance and enables continuous learning and improvement.

  The video explicitly covers Google Anti-Gravity 2.0, Gemini 3.5 Flash, OMI, Obsidian, and Agent OS and is geared toward intermediate and advanced users.

• Hermes Agent OS is INSANE! 🤯
  20.5.2026, 05:30:06

  The video showcases the power of Hermes Agent OS, a free automation tool that can handle complex tasks with just a single input query. The user provides a simple instruction, after which the tool automatically creates content, deploys a complete website on a live domain, and ranks it on Google’s first page—all without programming or using tools like Zapier or n8n. Additionally, Hermes Agent OS can be connected to other tools like Hyperframes or Remotion to automatically create and edit videos. By integrating with Obsidian, the tool can also leverage personal data to continuously improve its capabilities. The user emphasizes how simple and efficient Hermes Agent OS is compared to traditional methods, which often involve lengthy setup times and technical issues.

  The video explicitly covers Hermes Agent OS, Hyperframes, Remotion, and Obsidian and is geared toward intermediate and advanced users.

• Hermes + Antigravity 2.0: Build ANYTHING!
  20.5.2026, 05:00:39

  The video shows how to combine Hermes and Anti-Gravity tools to create AI agents that better understand the user and become smarter daily. The author answers frequently asked questions about context limits, model selection, migration from other tools, and practical applications. It explains how to optimize Anti-Gravity for agent work, as the integrated IDE has been removed. Tips for beginners on getting started with AI automation are provided, and the importance of context and training AI agents is discussed. Various open-source models and tools such as Obsidian, Notion, and LM Studio are mentioned, with their pros and cons discussed. The author emphasizes Hermes’ advantages over OpenClaw and shows how to migrate from OpenClaw to Hermes. The video is aimed at intermediate users with existing experience in AI tools who want to improve their automations.

  Covered tools/models/providers: Hermes, Anti-Gravity, OpenClaw, Obsidian, Notion, LM Studio, Claude, Gemini, N8N, WordPress, Hyperframes, Remotion, DGX Spark, Gemma 4.

• NEW Google Gemini 3.5 Flash is WILD!
  20.5.2026, 03:51:33

  The video presents the latest features of Google Gemini 3.5 Flash and shows how to use it to boost productivity and automate complex tasks. The main focus is on integrating Gemini 3.5 Flash into an Agent Operating System (Agent OS), enabling simultaneous control and automation of multiple AI agents. The video demonstrates how to use Gemini 3.5 Flash to create complete websites, generate images, and manage entire teams of AI agents. It emphasizes that Gemini 3.5 Flash is four times faster than other frontier AI models and smarter than Google’s previous Pro model. It also shows how to integrate Gemini 3.5 Flash into various agents like Hermes and Anti-Gravity to handle complex tasks. The video ends with an invitation to join a community for further guidance and support.

  **Final comment:** The video explicitly covers Google Gemini 3.5 Flash, Anti-Gravity, and Hermes and is geared toward intermediate and advanced users.

• NEW Gemini 3.5 Flash + Antigravity Agent OS is INSANE!
  20.5.2026, 01:38:33

  The video titled “null” does not seem to allow for a meaningful content summary, as the title provides no clear hints about the content. Without additional information or context, it is not possible to create a precise summary.

  The video does not cover specific AI tools or models and is difficult to assess for which audience it is intended.

• Claude + Codex Is INSANE!
  20.5.2026, 01:00:45

  The video discusses the latest developments in AI tools Claude and Codex, which have evolved from simple coding helpers to full-fledged agents capable of independently completing tasks. Claude can now be controlled via the command line interface (CLI), execute background tasks, use webhooks, coordinate multiple agents, and feature improved memory capabilities. Codex has similar features and can now also work in cloud environments, create pull requests on GitHub, and manage complex codebases. Both tools are designed to independently plan, execute, and verify tasks, making them true team members. The video emphasizes that this development is relevant not only for software development but also for other business areas, as similar agent models could be deployed there in the future. The growing adoption and use of such tools is also highlighted, with figures from GitHub and the providers themselves. At the end, reference is made to the AI Profit Boardroom, a community that helps effectively utilize these tools.

  The video explicitly covers Claude (Anthropic) and Codex (OpenAI) and is geared toward intermediate and advanced users.

• Claude AI SEO is INSANE!
  19.5.2026, 22:59:47

  The video demonstrates a search engine optimization (SEO) system using Claude AI, presented as the fastest and simplest method to rank websites on Google and AI search engines. The author presents five different methods within this system, all aimed at ranking websites through AI-generated content, images, and videos. Concrete examples show how websites have increased from just a few clicks per day to several hundred clicks per day. The system includes a content engine that writes optimized articles and publishes them across multiple websites, a visual authority layer with AI-generated images, a video gravity layer for video rankings, an agent task army for automated task distribution, and an infinite context engine that generates personal and unique content through a memory system with Obsidian. The author emphasizes that the system requires no technical knowledge and is suitable for non-technical users as well. He shows how to input keywords, add case studies, and generate and publish content with a single click. The video is suitable for intermediate and advanced users already having basic SEO knowledge and wanting to enhance it with AI tools. Specific tools like Claude AI, Grok Studio, Hermes, and Obsidian are covered.

• China’s New Qwen 3.7 is INSANE!
  19.5.2026, 23:00:42

  The video introduces Alibaba’s new AI model Qwen 3.7, which delivers outstanding performance in both text and image processing. Qwen 3.7 Max Preview reached rank 13 in the text arena and rank 9 in the expert arena, while Qwen 3.7 Plus Preview achieved rank 16 in the image arena. The models are distinguished by deep thinking abilities, image understanding, coding capabilities, and multilingual support. Compared to Qwen 3.6 Plus, Qwen 3.7 already shows significant improvements, particularly in image processing. The official launch is expected at the Alibaba Cloud Summit on May 20, 2024, with anticipated additions such as search tools and code interpreter. The author recommends testing the preview models now, comparing them with existing models, and becoming familiar with the thinking mode function. He also advises engaging in a community to stay up to date.

  The video explicitly covers Alibaba’s AI model Qwen 3.7 and is geared toward intermediate and advanced users with existing experience in AI tools.

• New Google Gemini Update Is INSANE!
  19.5.2026, 21:00:06

  The video presents the latest updates to Google Gemini, which according to the speaker represent a significant improvement. The main new features include a redesigned interface that transforms Gemini from a simple chatbot to a professional work tool, as well as a new function called “Thinking Selector”. This feature allows users to adjust the depth of AI analysis in responses, improving efficiency and result quality. Additionally, the introduction of a “Usage Limits” tab is mentioned, hinting at future expanded features and pricing models. The speaker emphasizes that Google will integrate Gemini into various platforms, including Android, Chrome, and Google Workspace, to provide a comprehensive AI agent experience. He encourages viewers to adopt these tools early to gain a competitive advantage.

  The video explicitly covers Google Gemini and is geared toward intermediate and advanced users.

Kyle Balmer | AI with Kyle (10 new videos)

• There are three ways to use AI, and most people only use one of them
  20.5.2026, 07:44:06

  The video discusses three fundamental ways people use artificial intelligence, based on an AI Fluency course from Anthropic. The first method is automation, where users ask AI like Claude directly to perform tasks or answer questions and expect the AI to complete them. This is the most common, but also the weakest use of AI, as results are often mediocre. The second method is augmentation or co-intelligence, where users combine their own expertise with AI to achieve better results. A simple example is asking the AI to pose questions and working together on a solution. The third and most advanced method is new agency, where users give the AI a goal and allow it the freedom to determine the best way to achieve that goal on its own. This requires less detailed instructions and enables the AI to research and act independently.

  The video explicitly discusses Claude from Anthropic and is more suitable for intermediate users.

• How I’d Build an AI Product and Quit My Job If I Started Today
  20.5.2026, 05:00:10

  The video provides guidance on building your first AI-based business. The focus is on creating a simple yet valuable product that automates a specific task and saves time. The author emphasizes that while many people could create similar solutions themselves, they won’t due to convenience or lack of knowledge. The key to success is identifying a process that is common and time-consuming in your own industry and automating it. An example given is an AI maturity assessment where users answer questions and receive a personal report in return. Technically, creating such a product is divided into three layers: frontend (landing page, login, forms), backend (database for user data and results), and the logic layer where the actual data processing takes place. The author offers to provide a prompt template that can be used in tools like Codex or Claude to facilitate product development. The focus should be on the logic layer, as this is where the greatest value for the customer is created.

  The video explicitly discusses Claude, Codex (OpenAI), and Lovable, and is intended for intermediate and advanced users.

• Anthropic just said prompting is only 25% of using AI well
  19.5.2026, 11:44:57

  The video addresses the four competencies for effective AI use as defined by Anthropic, the developers of Claude. These competencies, referred to as “the four Ds,” include delegation, description, discernment, and diligence. Delegation refers to deciding when and how AI should be used and includes three main modes: automation, augmentation, and agency. Description is the art of prompting, communicating clearly to the AI what you expect from it. Discernment refers to the ability to evaluate and verify AI results, while diligence encompasses the ethical and responsible aspects of AI use. The video emphasizes the importance of an iterative process between description and discernment to achieve high-quality results.

  The video explicitly discusses Claude from Anthropic and is aimed at intermediate users.

• Can you spot fake AI Art? What’s wrong with this Monet that was created by AI? This was a question
  18.5.2026, 11:41:39

  The video discusses reactions to an experiment in which an actual painting by Claude Monet was disguised as AI-generated artwork. The upload on Twitter sparked a wave of negative comments, with users criticizing the image quality as “school-level,” “lacking coherent composition,” and “expressionless.” Many users deleted their comments after it was revealed to be an authentic Monet work. This reaction shows that rejection of AI-generated art is often based on prejudice and emotional responses rather than informed consideration of the artwork. The incident undermines arguments against AI art by exposing the subjective and often biased perception of art.

  The video does not explicitly address AI models and providers, but is about the general perception of AI-generated art and is more suitable for intermediate and advanced users.

• Codex Mobile: You Can Now Vibe Code From Anywhere (Seriously)
  18.5.2026, 05:00:13

  The video covers the launch of a mobile application for ChatGPT Codex, enabling users to continue their Codex sessions from anywhere. The key points are:

  – **New mobile app**: Codex is now available in the ChatGPT mobile application, allowing you to start new work, review outputs, and control execution.
  – **Device connection**: Users can connect their Codex sessions across different devices (laptop, Mac mini, phone) and access them from anywhere. This is accomplished by scanning a QR code and using the “Control Another Device” feature in Codex settings.
  – **Advantages**: The new feature solves the problem of losing chat threads and context when switching between devices. This enables seamless “vibe coding” from anywhere.
  – **Setup guide**: The speaker explains how to connect various devices and set up GitHub as a central repository for projects. He emphasizes the importance of keeping all applications up to date.
  – **Recommendation**: The speaker recommends trying out the new feature and signing up for the newsletter to receive a detailed guide and checklist.

  The video explicitly discusses ChatGPT Codex and is intended for intermediate users who are already familiar with AI tools.

• AI has a lot of problems
  17.5.2026, 16:41:56

  The video addresses the discussion surrounding water consumption of an AI data center that used 29 million gallons of water. The author argues that while this number seems large, it pales in comparison to other industries such as meat production, particularly burger manufacturing. The data center’s water consumption equates to approximately 40,000 to 45,000 burgers, which compared to the 50 billion burgers produced annually in the US represents only 0.03% of daily consumption. The author criticizes public attention focused on AI data center water consumption as disproportionate and distracts from larger environmental issues in other industries like meat and fast fashion.

  The video does not address specific AI tools or models and appeals to a broader audience interested in environmental issues and technology’s impact.

• The 4 AI Skills Anthropic Wants You to Have (Explained in 20 minutes)
  15.5.2026, 05:00:02

  The video summarizes Anthropic’s “AI Fluency” course, designed to work effectively, efficiently, ethically, and safely with AI systems. The course is divided into three main use types: automation (task handling per instructions), augmentation (collaborating with AI as a sparring partner), and agency (AI working independently toward a set goal). The core of the course lies in the four “Ds”: delegation (deciding which tasks to delegate to AI), description (clearly communicating the task), discernment (critically evaluating AI output), and diligence (ethical and responsible use). Particular emphasis is placed on the “description to discernment” loop, in which AI output is continuously checked and improved to achieve high-quality results. The course advises against hastily automating AI, instead recommending first testing and refining in an augmented mode. Diligence includes checking AI use for accuracy, transparency, and verification to avoid ethical and practical errors.

  The video explicitly discusses Claude from Anthropic and is intended for intermediate and advanced users.

• Selling to people who already trust you is one of the easiest business moves on earth
  14.5.2026, 18:45:34

  The video argues that most entrepreneurs approach the product launch process incorrectly by creating a product and then releasing it to a non-existent audience. Instead, the focus should be on first building an existing target audience that will readily adopt the product. The speaker emphasizes the importance of content creation and social media presence, not out of vanity, but as a strategic lever for trust, reach, and partnerships. He shares his own experience of building a community of 300,000 people in two years and generating over $500,000 in revenue, arguing that artificial intelligence greatly facilitates this process by taking over much of the content creation. However, he warns against delegating all content creation to AI and demonstrates his own system, which combines human and AI-generated content creation. He offers guidance on such a system to interested parties via comment or through his TikTok bio.

  The video discusses generic AI tools for content creation and is intended for intermediate and advanced entrepreneurs.

• Full AI automation kills your content
  14.5.2026, 15:45:26

  The video argues against complete automation of content creation by AI, warning that purely AI-generated content will be disadvantaged by algorithms long-term and outpaced by more professional providers. Instead, the speaker advocates using AI as a tool to amplify your own voice and personality. He demonstrates his own system, where an AI agency suggests topics, creates an outline, and transforms his spoken notes into a presentation. This presentation is shared in a live stream on platforms like YouTube and TikTok, with the focus on remaining authentic and personal. From the live stream transcript, he uses Claude Code to generate various content formats such as newsletter drafts, short video scripts, PDFs, and social media graphics, which he then manually reviews and publishes. The speaker offers guidance on how to set up a similar system in various AI models such as Claude Code, Open Claude, Hermes, or Code X.

  The video explicitly discusses Claude Code, Open Claude, Hermes, and Code X and is more suitable for intermediate users.

• Stop telling AI to think step by step
  14.5.2026, 11:42:44

  The video explains that it’s no longer necessary to explicitly tell AI models to “think step by step.” This capability, known as “chain of thought,” is now built into modern AI models and applied automatically. The speaker recommends reviewing and cleaning up all outdated prompts to focus on more important tasks. Additionally, he offers guidance on better prompting, which interested parties can request via comment.

  The video addresses generic AI models and is suitable for intermediate users.

David Shapiro (3 new videos)

• Techno-feudalists hate UBI
  23.4.2026, 16:55:48

  The video discusses the attitude of the so-called “Tech Right” towards Universal Basic Income (UBI) and presents their arguments against UBI before refuting them. The “Tech Right” is described as a group of Silicon Valley types, often venture capitalists or founders, who tend to be pro-MAGA, pro-Trump, and pro-military-industrial complex. Notable representatives include Mark Andreessen and Gil Verdon.

  The main arguments of the Tech Right against UBI are:
  1. UBI flattens incentive gradients, reducing motivation for ambitious goals.
  2. UBI prevents maximizing entropy generation, i.e., the creation of useful new information.
  3. UBI hinders civilization’s ascent on the Kardashev scale.
  4. UBI leads to state dependency and is therefore harmful.

  The author refutes these arguments as follows:
  1. Many of history’s greatest entropy generators, such as Bill Gates, Steve Jobs, and Charles Darwin, had financial security that gave them space for creativity and innovation.
  2. UBI is not high enough to destroy incentives for additional work, and still provides sufficient incentive to earn more.
  3. UBI promotes ascent on the Kardashev scale by increasing demand and thus spurring innovation and energy generation.

  The author also critiques Mark Andreessen’s philosophical and moral arguments, which are based on Protestant work ethic and emphasize the necessity of work without considering the negative aspects of wage slavery.

  The video explicitly addresses the views of Mark Andreessen and Gil Verdon and is intended more for intermediate and advanced viewers.

• Why chatbots always get worse
  21.4.2026, 11:38:31

  The video discusses user dissatisfaction with current chatbots, particularly with Anthropic’s Opus 4.7, and compares the issues to those of social media. The author argues that similar incentive structures as in social media also lead to a degradation of the chatbot user experience. Three main incentive structures are identified: cost control, litigation avoidance, and user-friendliness. These result in chatbots being less emotionally intelligent and often appearing annoying or overly critical. The author compares this to the “shitification” of technologies, where they worsen over time, and argues that users themselves are often the weakest link, exacerbating the problems. He concludes by noting that companies could solve these problems more effectively but have so far failed to make the right adjustments.

  The video explicitly addresses Anthropic, OpenAI, and Gemini and is intended more for intermediate or advanced users.

• What is going on with AI?
  20.4.2026, 11:15:34

  The video discusses two main topics: investments in data centers for AI and Cal Newport’s criticism of AI development.

  On the first topic, the speaker explains that the expansion of data centers is the second-largest megaproject in history after the Marshall Plan and that it is a private, not government-funded project. He argues that data centers are long-lived assets that remain valuable over decades, and compares them to other major infrastructure projects like railroad construction and internet expansion. He also points out that criticism of data centers often stems from misunderstandings or outdated information, and that local regulations can help address noise and environmental impacts.

  On the second topic, the speaker critiques Cal Newport, a well-known tech author who takes a skeptical view of AI development. The speaker argues that Newport’s criticism often relies on outdated studies and lacks practical industry experience. He emphasizes that many academic studies on AI are outdated and don’t reflect the latest advances, and that the pace of AI development has outstripped the slow nature of academic research. He concludes by noting that people who get their information about AI through social media and YouTube are often better informed than those who rely on academic publications.

  The video does not explicitly address specific AI tools, models, or providers and is intended more for intermediate and advanced viewers.

AI News & Strategy Daily | Nate B Jones (10 new videos)

• How ChatGPT Became Teenagers’ Best Friend #AI #Psychology
  20.5.2026, 03:00:16

  The video discusses the increasing use of AI companion chatbots by teenagers for emotional support, often as the primary source of emotional connection. While these chatbots are always available, patient, and non-judgmental, they lack the ability to teach genuine interpersonal skills such as conflict resolution, relationship resilience, and empathy. The lack of genuine interaction can lead to parasocial relationships that, in extreme cases, can end tragically. In everyday life, the simple and immediate help provided by AI promotes dependency, making it harder for children to solve problems independently and thereby experience genuine learning processes. The video warns that AI doesn’t actively diminish children’s intelligence, but rather deprives them of the opportunity to take more difficult but educational paths.

  The video addresses broadly available AI chatbots and is aimed at a wide audience, particularly parents and guardians.

• The calculator moment nobody’s talking about in education #AIinEducation #Learning #Parenting
  20.5.2026, 00:00:00

  The video discusses the urgent need for education system reform in light of rapid artificial intelligence development. It argues that current educational concepts are based on outdated philosophy designed for a 20th-century industrial economy that no longer exists today. The speaker emphasizes that 2 billion children worldwide are in schools that don’t recognize or leverage these changes. Studies, such as one published in the journal Nature, confirm that general AI has already arrived and show that AI tutors outperform human tutors in controlled studies. Despite these developments, schools, governments, and parents still lack clear strategies for preparing children for future challenges. The growing use of AI in education, particularly in countries like the United Kingdom, underscores the urgency of these adaptations.

  The video explicitly addresses AI tools and models in general without naming specific providers and is aimed at a broad audience, including parents, education professionals, and interested parties—rather aimed at intermediate to advanced viewers.

• Google Spent a Year Stitching MCP, A2A, AG-UI Together. I/O Today.
  19.5.2026, 14:01:16

  The video discusses six agent protocols introduced over the past twelve months that support agent systems. The protocols are MCP, A2A, AGUI, A2UI, AP2, and X42. The speaker argues that three of these protocols—MCP, A2A, and AGUI—will become the core stack for agent systems, while the other three (A2UI, AP2, and X42) remain contested or highly specific to particular domains.

  MCP (Model Context Protocol) is a tool and data layer that enables agents to discover and use systems where work happens. A2A (Agent-to-Agent) is a coordination layer that enables agents to communicate with other agents across product or enterprise boundaries. AGUI (Agent-Generated User Interface) is a human-machine interface layer that enables long-lived backend agents to share state, events, approvals, and interruptions with a user-oriented application.

  The speaker emphasizes that these protocols shape the customer experience and that it’s important to understand them when developing an AI agent product. He also warns that tool access is not simply a feature toggle but a security boundary that must be carefully configured.

  The video is suitable for intermediate to advanced viewers as it discusses technical details and specific protocols. While no specific AI tools or models are explicitly addressed, Google’s role in developing these protocols is discussed.

• 40% growth nobody saw coming #expansion #tech
  19.5.2026, 03:00:36

  The video shows a conversation about platform growth serving both coding and non-coding users. The user count recently reached 4 million and continues to grow at an accelerating rate, with the goal of soon reaching 5 million users. Particularly remarkable is that usage by non-coding users is growing faster than the total user count, with 40% growth recorded in the last week compared to the previous week. This suggests the platform is increasingly being used for general purposes and not just for coding tasks.

  The video doesn’t address specific AI tools or models and is aimed at intermediate to advanced users interested in platform growth and user behavior.

• The biggest lie you’ve heard about AI jobs #ai #futureofwork #shorts
  19.5.2026, 00:00:33

  The video discusses the changing dynamics between human work and artificial intelligence. It argues that as AI capabilities increase, the boundary between human and machine work doesn’t shrink but grows. This leads to more interfaces where human judgment is required, as well as new challenges in verification and decision-making. Unlike traditional skills that are learned once and completed, working at the intersection of human and AI requires continuous adaptation as this boundary constantly expands.

  The video addresses the general dynamics between humans and AI and is aimed at intermediate to advanced viewers.

• The Prove-It Economy is Here | And Most Marketers Aren’t Ready
  18.5.2026, 14:00:17

  The video discusses the transition of the internet economy from an attention economy to an interpretation economy dominated by AI systems. The speaker emphasizes that individuals and marketers must adapt to this change as AI systems increasingly make decisions about whether you are trustworthy. A concrete example is purchasing a sound system, where the speaker interacted exclusively with AI chatbots (Claude and ChatGPT) to make the best choice.

  For marketers, this means creating a “truth layer” for their products that enables AI agents to extract high-quality and precise data. This requires technical details and verifiable claims that go beyond emotional marketing appeals. Individuals must also build such a truth layer for themselves to demonstrably present their skills and experience, particularly regarding AI capabilities.

  The speaker warns against “AI washing,” the mere pretense of AI competence, and emphasizes the need to be comprehensible and differentiated for both humans and AI agents. He concludes with a call to invest energy in two areas: creating memorability with humans and providing differentiated, detailed information for AI agents.

  The video explicitly addresses the AI models Claude and ChatGPT and is aimed at intermediate to advanced viewers.

• How teams accidentally sabotage AI adoption #ai #aitools
  18.5.2026, 03:00:24

  The video discusses a common failure scenario when implementing coding agents in enterprises. It criticizes an overly pragmatic, top-down approach that attempts to predetermine all acceptable use cases. Instead, the speaker advocates for giving employees the freedom to figure out what works in their respective areas. What matters is creating a platform where successful “recipes” can be quickly shared and propagated. This would allow best practices to establish themselves throughout the organization.

  The video addresses general concepts and no specific AI tools or models; it is aimed at intermediate to advanced viewers.

• When to Automate, Build, Buy, Hire, or Wait on AI
  17.5.2026, 18:00:14

  The video discusses the challenges and strategies for investing in agentic AI projects, particularly in light of Gartner’s prediction that over 40% of these projects will fail by the end of 2027. The main reason for this forecast lies in unclear business models, high costs, and insufficient risk controls. The speaker emphasizes that the focus should not be on the technology itself, but on designing the workflows supported by AI. He argues that companies should align their investments based on the type of work that needs to be done, not on the technology or vendor.

  The speaker provides several examples to show that different workflows require different solutions. He proposes that companies categorize their workflows into five categories: automate, build, buy, hire, and wait. Each of these categories has its own advantages and disadvantages and should be selected based on the specific nature of the work. The speaker also emphasizes the importance of clearly defining workflows and expectations for AI solutions to ensure that investments deliver the desired benefits.

  At the end of the video, an investment matrix is presented to help companies make decisions about their AI investments. The matrix takes into account the specificity of the work and the maturity of market solutions. The speaker concludes by calling on companies to thoroughly understand their workflows and make targeted investment decisions to maximize the value of their AI investments.

  The video explicitly addresses agentic AI projects and is aimed at intermediate to advanced viewers.

• Agents vs Chatbots: Codex Changes Everything #aiagents #codex #automation
  17.5.2026, 03:00:22

  The video discusses the difference between ChatGPT and agents, describing ChatGPT as a tool for answering questions while agents are capable of performing tasks on behalf of the user. An agent might, for example, send emails, bringing it closer to human behavior. Codex is cited as an example of such an agent that, according to the speakers, is considered the strongest available agent in evaluations and practical applications. The focus is on the fact that agents not only provide information but can also actively take action.

  The video explicitly addresses Codex and is aimed at intermediate to advanced users who want to engage with how agents function and their possibilities.

• GPT-5.5 vs 1000 Piece Lego Set #ai #challenge
  17.5.2026, 00:00:51

  The video shows a discussion about the challenge of asking an AI model like GPT-5.5 to design a scale Lego set. The speaker explains that the current upper limit for accuracy is around 100 pieces and presents this as a new benchmark. He challenges AI developers to scale this to 1,000 pieces and promises to build the result together. The discussion is casual and humorous, aimed at advancing AI development in this specific area.

  The speaker explicitly addresses AI models such as GPT-5.5 and is aimed at intermediate to advanced users.

Alejandro AO (5 new videos)

• MiniMax Agent: Alternative to ChatGPT + Codex?
  12.5.2026, 12:46:44

  The video demonstrates the features of MiniMax Agent, an AI tool positioned as a competitor to Codex and Cloud Cowork. The MiniMax Agent is powered by the MiniMax M2.7 model, which, while not as powerful as GPT-5.5 or Opus 4.7, still achieves high benchmark scores and is offered at a lower price point.

  The video shows how MiniMax Agent is used to create a website and deploy it on MiniMax Cloud. The web and desktop apps of the tool are presented. The desktop app is used for data analysis of a CSV dataset, generating a PDF report with LaTeX. Additionally, the “Skills” of MiniMax Agent are demonstrated, including a video story generator that creates videos from text descriptions or images.

  The video also mentions MiniMax’s pricing models, which include a free version with daily credits as well as premium plans. Particular emphasis is placed on the tool’s ability to handle complex tasks such as website creation, data analysis, and video generation.

  Final note: The video specifically focuses on MiniMax Agent and is intended more for intermediate and advanced users.

• Pi Agent – Crash Course | Minimal Coding Agent
  6.5.2026, 06:17:00

  The video introduces the Pi Agent Harness, a minimalist agent framework that can be customized to meet user needs. The focus is on enabling users to get started quickly without covering all features in detail. The key points are:

  1. **What is Pi?**
  – Pi is a minimalist agent harness that starts with just four core functions and can be individually customized through extensions and adaptations.
  – Unlike other agent harnesses, Pi does not offer pre-built features like MCP (Multi-Chat-Persistence), subagent support, planning mode, or integrated to-do lists. Instead, these features can be added as needed.

  2. **Installation and Basic Setup**
  – Installation is done via a simple command in the command line.
  – After installation, users must log in with an API key or subscription (e.g., from Hugging Face, Anthropic, ChatGPT, or GitHub Copilot) to use LLMs (Large Language Models).
  – Models can be selected via the `/model` command and switched between different providers.

  3. **Model Selection and Customization**
  – Users can choose between different models and save them in favorite lists.
  – The thinking level of the model (e.g., low, medium, high) can be adjusted.

  4. **Prompt Templates**
  – Custom prompts can be created and saved to simplify frequently used commands.
  – These prompts are stored in the `.pi` directory structure and can be manually edited.

  5. **Skills**
  – Skills are functions that extend the agent harness. They can be loaded from various directories, including `.agents` and `.clod`.
  – Skills can be accessed and used via the `/skill` command.

  6. **Themes and User Interface**
  – The Pi user interface can be changed by customizing themes.
  – Custom themes can be created and stored in the `.pi` directory structure.

  7. **Context Files**
  – Pi uses the standards `agents.md` and `clod.md` for context management.
  – These files can be stored in various directories (e.g., workspace or home directory) and loaded by Pi.

  8. **Extensions**
  – Extensions enable customization and expansion of Pi’s functionality.
  – Example extensions include welcome messages and security prompts before dangerous commands (e.g., `rm -rf`).

  9. **Packages**
  – Packages are bundles of extensions, skills, and prompts that can be installed together.
  – Examples of packages include `PySubagents`, `ContextMode`, and `MCPAdapter`.

  10. **Sessions**
  – Sessions allow you to manage, edit, and navigate threads.
  – Sessions can be named, exported, and saved in various formats.
  – Users can switch between different sessions, duplicate them, or merge them.

  The video specifically focuses on the Pi Agent Harness and is intended more for intermediate users who already have experience with agent harnesses and want to customize them individually.

• DeepSeek V4: SOTA Coding Agent at 12x Lower Cost
  28.4.2026, 09:43:58

  The video introduces the new DeepSeek V4 Pro and DeepSeek V4 Flash models from DeepSeek, a major Chinese AI company that sparked the open-source revolution for large language models in 2025 with its R1 model. The new models are Mixture-of-Experts models that operate more efficiently through selective parameter activation. Comparison with other state-of-the-art models like GPT-5.5 from OpenAI and Opus 4.7 from Cloud shows that DeepSeek V4 Pro performs very well across various benchmarks including coding, general reasoning, and agentic capabilities, sometimes even outperforming GPT-5.4 and approaching GPT-5.5. Particularly noteworthy is DeepSeek’s significantly lower pricing compared to closed models. The video also demonstrates the installation and usage of DeepSeek V4 Pro via the Pi Agent Harness, a minimalist agent framework, and shows the creation of a web application as an example of practical application.

  The video specifically addresses DeepSeek V4 Pro and V4 Flash models as well as GPT-5.5, Opus 4.7, Gemini 3.1 Pro, Kimi K 2.6, GLM 5.1, and Minimax M 2, and is aimed at intermediate users.

• GPT-5.5 – 25x More Expensive than Open Models
  23.4.2026, 23:13:53

  The video provides an overview of OpenAI’s latest version, GPT-5.5, and compares it with other models, both closed and open-source. The author emphasizes that GPT-5.5 delivers the best results across various benchmarks, particularly in coding tasks like Terminal Bench and SweetBench Pro. However, GPT-5.5 is significantly more expensive than its predecessor GPT-5.4 and other models like Claude Opus 4.7 and Gemini 3.1 Pro. Comparison with open-source models like Kimi, GLM, Minimax, and Qwen 3.6 shows that these often provide similar performance at significantly lower costs. The author also demonstrates the use of GPT-5.5 in the Codex application to create a landing page, showing that the model has improved in frontend development.

  The video specifically addresses OpenAI (GPT-5.5, GPT-5.4), Claude (Claude Opus 4.7), Gemini (Gemini 3.1 Pro), and open-source models (Kimi, GLM, Minimax, Qwen 3.6) and is intended more for intermediate and advanced users.

• Kimi K2.6: Open Source BEATS GPT-5.4 & Opus?
  22.4.2026, 06:17:00

  The video introduces the new foundation model Kimi K2.6 from Chinese company Muncho Taiyai, which competes with benchmarks like GPT 5.4 and Opus 4.6. The host explains what Kimi K2.6 is, compares benchmarks, and shows how to use the model with the Hugging Face Inference Provider to operate a coding assistant. Subsequently, Kimi K2.6 is used to redesign a website. The benchmarks show that Kimi K2.6 outperforms GPT 5.4 and Opus 4.6 in multiple areas, particularly in general knowledge and programming. The host demonstrates setting up Kimi K2.6 with OpenCode and Hugging Face to redesign the website and shows the final result. The costs for using the model are estimated at approximately $1.50 for the entire operation. The video specifically addresses Kimi K2.6, Hugging Face, OpenCode, GPT 5.4, Opus 4.6, and Gemini 3.1 Pro and is intended more for intermediate and advanced users.

Sebastien Dubois (4 new videos)

• Levels of AI Context Management: From Generic Answers to Precision Results
  16.5.2026, 08:48:32

  The video discusses the various levels of context management when using AI, particularly when interacting with language models like GPT or Claude. The speaker distinguishes eight levels, ranging from simple queries without context (level 1) to a comprehensive knowledge system that can be fully utilized by AI (level 8). In the early stages (1-3), the focus is on providing basic context and leveraging AI’s built-in memory functions, which are described as unreliable and pseudo-random. From level 4 onwards, advanced prompt engineering techniques are introduced, which deliver better results but come with challenges such as organizing and managing prompts. Starting at level 5, the importance of a central knowledge system containing information about projects, goals, and work processes is emphasized. This enables AI to deliver more precise and relevant results. In the higher stages (6-8), the focus shifts to managing AI memory, implementing AI agent Skills, and optimizing context management to improve consistency and quality of results. The speaker emphasizes that a well-structured knowledge system that AI can fully understand and utilize currently delivers the best results.

  The video explicitly addresses Claude, OpenAI, and specific tools such as Obsidian, Anthropic, Google, and OpenAI. It targets intermediate and advanced users.

• Why Obsidian
  13.5.2026, 22:00:35

  The video describes Obsidian as a kind of operating system for Markdown files. It enables easy writing, editing, and use of notes, including integration with AI. A major advantage of Obsidian is that all data is stored locally on your own device, ensuring privacy and control over your content. Unlike many other note-taking tools, Obsidian remains free and your files belong to you. The video emphasizes the comprehensive features for organizing, searching, and utilizing stored information.

  The video addresses Obsidian and is more suitable for intermediate and advanced users.

• Use AI to augment yourself, not to replace your thinking!
  13.5.2026, 09:41:05

  The video criticizes the trend of creating AI-generated graphs in Obsidian that often consist of meaningless masses of notes. The main point is that AI should not be used to generate meaningless content, but rather to support your own knowledge building. Writing is a process of thinking, and if you don’t do this yourself, you only create useless texts. The focus should be on creating your own notes and developing your own ideas, rather than relying on AI-generated content.

  The video addresses Obsidian and AI tools in general, but is more suitable for intermediate users who engage with the concept of knowledge management.

• Knowledge Management
  13.5.2026, 09:07:53

  The video introduces the concept of knowledge management, which aims to relieve the mind by no longer relying on memory, but instead using systems that permanently store information and make it easily retrievable. The core idea is that by using such systems, you are able to easily retrieve everything you have stored. The speaker emphasizes that this method works and has the potential to change your life.

  The video does not address specific AI tools or models and is more suitable for beginners.

Unsupervised Learning (1 new video)

• A Conversation With Brian Vecci
  13.5.2026, 15:00:14

  The video is an interview with Brian, a data security expert at Veronis, focusing on challenges and solutions related to AI security.

  Brian explains that conversations with customers and security teams have shifted dramatically over recent years from general uncertainty about AI to concrete questions about safely deploying AI tools like ChatGPT, Claude, and Microsoft Copilot. Today, the focus is on how companies can leverage AI to work more efficiently while ensuring appropriate “safe zones” exist to minimize security risks.

  He emphasizes that the attack surface is significantly expanded by AI, as attackers can use AI to identify and exploit vulnerabilities. Veronis has developed a comprehensive solution based on three pillars: observability, automation, and behavioral monitoring. This solution includes data collection and analysis, access rights monitoring, and security measure automation.

  Brian highlights that many organizations still don’t fully understand the complexity and risk of AI security. He warns that attackers increasingly use AI to breach systems quickly and efficiently, emphasizing the need to secure data and the underlying infrastructure.

  The video concludes with a discussion on implementing the Veronis solution, which is fast and effective, and an announcement that Veronis will present further AI security news at the Black Hat conference.

  Final comment: The video explicitly addresses AI models like Claude, ChatGPT, and Microsoft Copilot, as well as specific tools like Veronis AI Atlas. It is geared toward Intermediate and Advanced viewers, as it provides in-depth insights into AI security and complex solution approaches.

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