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Claude Fable 5 and Mythos 5 revolutionize the AI landscape – while open-source models like Gemma 4 12B impress

Wednesday, June 10, 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 dominant topics. If interested, simply click the link under the summary.

AI mit Arnie (1 new video)

• Hermes Desktop ist gefährlich gut
  6.6.2026, 16:10:34

  The video introduces the Hermes Desktop App, which enables users to work with various AI models locally on their computer. Installation is now greatly simplified and no longer requires complex steps like the previous Windows Subsystem for Linux approach. The app offers a user-friendly interface that allows users to utilize different AI models such as GPT-5.5 or Codex and switch between them. A special feature is Hermes’ ability to improve itself and automatically write skills that can be used for various tasks such as frontend design, image generation, and integration with tools like Obsidian and ConfUI. The app also supports connection with various channels such as Telegram, Discord, and Slack, as well as the creation and management of superagents that can work in the same session. Additionally, users can use local models like Ollama and adjust the context window accordingly. The app is 100% open source and offers users the flexibility to use different providers and models without being dependent on a specific provider.

  The video explicitly focuses on the Hermes Desktop App, which is based on open-source models, and is more suitable for intermediate to advanced users.

Cole Medin (2 new videos)

• Live AI Q&A + Crushing it in Chess at the Same Time – Come Hang Out!
  7.6.2026, 04:26:50

  Without the concrete link to the video, I cannot create a summary. Please share the YouTube link so I can analyze the video and create a precise summary for you.

• Claude Plans, Gemini Designs: The Workflow to Build BEAUTIFUL Frontends
  4.6.2026, 00:00:04

  The video demonstrates a workflow that combines two different AI models, Gemini 3.5 Flash and Opus 4.8, to build full-stack web applications. Gemini 3.5 Flash is used for designing the user interface, while Opus 4.8 handles planning, creating page content, and integrations. The workflow consists of multiple steps, each running as separate AI sessions that communicate through Markdown documents. The process begins with repository and specification exploration, followed by planning, UI design, integrations, validation, and finally deployment with smoke testing. The creator emphasizes the benefits of this division, as it leverages the strengths of both models while optimizing costs. The workflow is designed to work for more complex applications, though not every type of web application can be handled in a single step.

  The creator specifically discusses Gemini 3.5 Flash and Opus 4.8, demonstrating how to use them in combination with tools like Pi, Anti-Gravity, and Claude Code. The video is better suited for intermediate to advanced users who already have experience with AI models and coding agents.

Nate Herk | AI Automation (7 new videos)

• Claude Mythos is Finally Here.
  9.6.2026, 18:00:20

  The video covers the release of two new models from Anthropic: Claude Fable 5 and Claude Mythos 5. Fable 5 is now available to all users, while Mythos 5 initially remains limited to Glasswing partners. Both models cost $10 per million input tokens and $50 per million output tokens, which is twice as expensive as Opus. Fable 5 is included in Pro Max, Team, and Enterprise plans until June 22, after which it will only be available for an additional fee. Mythos 5 is a more powerful version of Fable 5 without cybersecurity safeguards and will initially be distributed through Project Glasswing. Both models show significant improvements in benchmarks compared to Opus 4.8 and other models, particularly in areas such as software engineering, knowledge work, and cybersecurity. The creator emphasizes the importance of agent loops but warns against excessive use, which can lead to high token costs. He is eager to see the practical use of Fable 5 and will publish further videos on the topic.

  The video explicitly addresses Claude Fable 5 and Claude Mythos 5 from Anthropic and is intended more for intermediate to advanced users.

• How to Build Claude Subagents Better Than 99% of People
  9.6.2026, 00:44:55

  The video explains the use of subagents in Claude Code, a tool from Anthropic. Subagents are independent AI agents that can be delegated by a main agent to complete specific tasks. The main agent acts as an orchestrator and can run multiple subagents in parallel, each with different personalities, capabilities, and models. This helps keep the main agent’s context clean and saves costs by using cheaper models for specific tasks.

  Subagents can be either built-in or custom agents. Custom subagents are created as markdown files and can contain specific instructions, tools, and models. They can be used at the project or global level, depending on whether they should be available in a specific project or globally. Subagents can also be integrated into Skills, which can in turn utilize subagents.

  Users can utilize subagents in various ways: automatically, proactively, or explicitly by mentioning the agent name. It’s important to formulate descriptions and instructions in subagents precisely to avoid malfunctions. Subagents can also be configured as read-only agents to increase security.

  The video also shows how to create and configure subagents by creating a markdown file with YAML frontmatter. This file contains information such as the name, description, tools used, and the subagent’s model. Users can then utilize the subagents in various projects or globally.

  In summary, subagents in Claude Code offer a powerful way to delegate tasks, keep context clean, and save costs. They can be used and configured in various ways to meet specific requirements.

  The video explicitly addresses Claude Code and is more suitable for intermediate to advanced users.

• Is Claude Mythos Coming?
  6.6.2026, 21:26:20

  The video discusses recent developments around Anthropic’s Mythos AI model, which briefly appeared on the company’s API and then disappeared. Mythos is a highly potent model specifically developed for cybersecurity and is considered the successor to Claude Opus. So far, it has only been made available to selected partners as part of Project Glasswing to identify and fix security vulnerabilities in critical software.

  Mythos’s appearance on the API has sparked speculation that the model could soon be publicly available. However, Anthropic has already made it clear early on that Mythos should not be made generally accessible for now. The video creator is skeptical about whether Mythos will be released to the public in the near future and suspects that recent leaks may be deliberate marketing strategies to generate attention.

  Additional factors fueling speculation are Anthropic’s upcoming IPO and competition with OpenAI, which could also bring a new model, GPT-5.6, to market. The creator believes it’s more likely that Mythos’s capabilities will be gradually integrated into future versions of Opus rather than Mythos being released as a standalone model.

  The video explicitly addresses Anthropic and OpenAI and is more suitable for intermediate and advanced users.

• AGI is Here. Anthropic Just Proved It.
  5.6.2026, 20:42:32

  The video discusses current AI developments, particularly based on a report from Anthropic showing that over 80% of code shipped by Anthropic is now written by their own AI model Claude. The speaker argues that AGI (Artificial General Intelligence) is already here, defined as the ability of an AI to independently solve open, unclear problems. Anthropic categorizes tasks into four categories, from trivial to open, and shows that Claude has achieved a 76% success rate on open problems, a massive increase from 26% six months ago. AI can now handle tasks that take 12 hours, and in some cases has even made better decisions than human researchers. The speaker discusses three possible future scenarios for AI: stagnation, continuous improvement under human control, and full AI autonomy. He emphasizes the importance of AI alignment to ensure it serves humanity and the difficulties in ensuring this, as progress is difficult to monitor. The speaker warns against ignoring AI development and emphasizes that the ability to identify the right problems and use AI effectively is increasingly valuable.

  The video explicitly addresses Claude AI model from Anthropic and is more intended for intermediate or advanced users.

• The Skill That 10x’d My Claude Code Projects
  4.6.2026, 17:55:54

  The video addresses the challenge of transferring knowledge and context from one’s own mind into an AI system to achieve better and more personalized results. The focus is on a technique called “Grill Me,” which is designed to extract comprehensive information from the user and transform it into reusable context for the AI. This technique was originally developed by Matt PCO and consists of a simple but effective prompt structure that guides the user through a series of questions to reach a shared understanding. The video author has further developed this technique by adding a checkpoint system that ensures all answers are documented in a file to prevent information loss. This results in better skills, context, and projects because the AI develops a deeper understanding of the user and their processes. The author emphasizes the importance of this technique to improve the efficiency and quality of AI results.

  The video explicitly addresses the Claude Opus 4.8 AI model and is more intended for intermediate or advanced users.

• I Tested Every Claude Code Feature, These 12 Are the Best
  3.6.2026, 16:16:11

  The video provides a detailed review and ranking of Claude’s features based on over 500 hours of use in the Claude ecosystem. The author rates the features by their impact on daily workflow, particularly in the area of knowledge work and automation. The rating ranges from D-Tier (useful but not outstanding) to S-Tier (essential for daily work).

  **D-Tier:**
  – Basic features like `clawmd`, context lifecycle management (`/clear`, `/compact`), web search, file uploads, fast mode, permissions, and custom themes.

  **C-Tier:**
  – Features that are useful but not used daily, such as voice mode, co-work, interactive connectors, and local file access.

  **B-Tier:**
  – Useful features not included in the top 30, such as dynamic workflows, deep research, git worktrees, ultra review, interactive diagrams, recap function, cloud for Microsoft 365 and Chrome.

  **A-Tier (Honorable Mentions):**
  – Features that narrowly missed the top 12, such as Google Workspace CLI, dispatch, Claude Desktop App, cloud design, auto mode, ultra code hooks, effort levels, agent view, `/context`, prompt caching.

  **Top 12 Features:**
  1. **Skills:** Recipe-like instructions for consistent and repeatable tasks.
  2. **Status Line:** Shows model, effort level, and token usage.
  3. **Routines:** Planning and execution of tasks by agents.
  4. **Remote Control:** Control of the local Claude session from phone or web.
  5. **/loop:** Repetition of prompts at fixed intervals.
  6. **Sub Agents:** Background agents that work in parallel.
  7. **/slashre:** Undo code and conversation to previous checkpoints.
  8. **Agent Teams:** Groups of agents that debate and collaborate.
  9. **Auto Memory:** Automatic memory improvement without manual prompts.
  10. **/slashinsights:** Generates reports on Claude usage.
  11. **Ultra Plan:** Offloads planning to various planning agents.
  12. **/slashgoal:** Sets goals for Claude to be achieved.

  The author emphasizes that the rating is subjective and based on their specific use of Claude. The video is more intended for intermediate to advanced users who already have experience with Claude and want to optimize their usage. It explicitly addresses Claude and its features.

• I Turned Claude Fable Into The Ultimate Second Brain
  10.6.2026, 04:40:11

  The video shows how the creator uses his “Second Brain” and AI Operating System (AIOS) with Claude Fable to increase productivity and efficiency. Claude Fable, a new model from Anthropic, is described as particularly powerful and offers improved security measures (“cyber guard rails”). The creator emphasizes the importance of a mindset shift, moving away from using various AI tools toward a central system with Claude Fable. His AIOS consists of two main components: the “Second Brain,” which stores knowledge and context, and the “AI Operating System,” which adds skills and automations. The setup follows a framework called “the four Cs”: context, connections, capabilities, and cadence. Context includes personal and business information, connections refer to dynamic data sources such as emails or project management tools. Capabilities include task automation, and cadence allows these automations to run continuously. The creator shares practical tips for using Claude Fable, such as using it as a thinking partner, interviewing the user to extract knowledge, and reviewing your own work. He also emphasizes the importance of security measures and the need to check AI work. The video ends with a Q&A session in which the creator answers frequently asked questions about costs, data security, coding skills, and team usage.

  The video explicitly addresses Claude Fable from Anthropic and is more intended for intermediate to advanced users.

Ben AI (2 new videos)

• Claude Managed Agents Will Change How You Sell AI Forever
  9.6.2026, 09:10:22

  The video explains how Managed Agents work and their potential within the Claude AI platform, particularly for selling AI solutions. It demonstrates how Managed Agents can contain pre-configured agent workflows with skills, MCPs (Managed Connectors), memory, and subagents that can be delivered via API and deployed across various environments like Slack, custom apps, or other software solutions. The speaker shares his experiences using Managed Agents in his AI agency and demonstrates concrete use cases such as churn recovery and lead prospecting. The video emphasizes that Managed Agents represent a major opportunity for selling AI solutions to companies that may not yet be using AI tools like Claude. It also highlights the integration of skills into these agent workflows, as they are testable and improvable, which increases the reliability and determinism of automations. The speaker shows how Managed Agents can be deployed in various environments like Slack, Notion, or through automation platforms like n8n or Zapier. Finally, the video mentions the possibility of using Managed Agents for continuous learning and as part of an AI-OS infrastructure, enabling new business models and AI-SaaS ideas.

  The video explicitly focuses on Claude’s Managed Agents and is aimed at intermediate to advanced users who already have experience with AI tools and automation platforms.

• Stop Using Claude Without an Agentic OS
  3.6.2026, 08:11:18

  The video explains the benefits and possibilities of a personalized dashboard or “Command Center” for managing information and automating work processes with the help of AI. It highlights four main advantages: a personalized user interface with access to live data from various software programs, the ability to execute actions directly with AI, the integration of different AI models, and easy sharing of the dashboard with team members or customers. The author presents three options for setting up such a dashboard: a live artifact within Claude, a custom interface in Obsidian, and a custom HTML page that can be hosted on a website. Each option has its own pros and cons in terms of simplicity, flexibility, and cost. The author recommends starting with a simple version and improving it incrementally based on actual needs and usage.

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

Brian Casel (3 new videos)

• Hermes vs. Claude Cowork? Wrong Question.
  9.6.2026, 12:48:15

  The video addresses the challenge of committing to a specific AI agent platform, as offerings continuously evolve and new platforms emerge regularly. The author emphasizes that rather than relying on a single platform, it’s more sensible to develop underlying patterns and processes that can run across different platforms. He demonstrates his current setup using two platforms: Hermes and Claude Co-work.

  Hermes is primarily used for routine background tasks, such as gathering and summarizing content, monitoring SEO health, and managing code repositories. The author prefers Discord as the interface for interacting with Hermes due to better Markdown support and the ability to leverage multiple channels and threads.

  Claude Co-work is used for creative and high-quality tasks like content ideation, writing, and design. The author uses Claude Co-work’s Scheduled Tasks feature to automate these tasks. He mentions that due to pricing changes and limitations with Claude Co-work, he’s been forced to offload some tasks to Hermes.

  The author stresses that the patterns and processes he uses on these platforms are platform-agnostic and can therefore easily be transferred to new platforms. He concludes with a recommendation to not rely on a single platform, but rather to understand and leverage the underlying patterns.

  The video explicitly covers the AI tools/models/providers Claude, OpenAI, and Hermes and is aimed more at intermediate and advanced users.

• Why apps built with AI look a little… OFF
  5.6.2026, 12:00:17

  The video addresses the problem of “design drift” when building apps with AI agents. This often results in inconsistent designs because agents reinvent the UI each session without a shared source of truth for design. The author presents a solution: a design system that centrally defines colors, typography, spacing, and components and integrates them into the code. This prevents design drift and ensures consistency.

  The author shows how he implements such a design system in his apps, consisting of various components like colors, typography, buttons, forms, and lists. He uses a free agent capability he developed to integrate the design system into his codebases. By defining the design system in `claude.md` or `agents.md`, it ensures that the AI agent considers the design guidelines with every UI request.

  The author emphasizes the importance of understanding such tools rather than using them blindly. He recommends integrating the design system from the start in new projects, as retrofitting it is more difficult. He also introduces Rails and React starter templates that already have his design system integrated.

  The video explicitly covers Claude and Claude Code and is aimed at intermediate and advanced builders working with AI agents.

• Stop Waiting for Claude to Finish — Do This Instead
  4.6.2026, 14:00:04

  The speaker describes his work routine with the AI agent Claude, where he starts tasks before clocking out, going to sleep, or doing morning workouts. This allows him to use the wait times—during which Claude analyzes code or conducts research—for other activities. He also mentions that in 2026, AI agents like Claude complete tasks autonomously without explicit instructions—they work according to fixed workflows and are essentially team members.

  The video explicitly covers Claude and is aimed more at intermediate or advanced users who already have experience with AI agents.

Melvynx (5 new videos)

• Je code 1 HEURE avec Codex devant toi (mes secrets devoilé)
  9.6.2026, 16:00:25

  The video shows how the author works with the Codex tool to make various features and improvements to his Subface application. Here’s a summary of the main steps and content of the video:

  1. **Introduction and Setup**:
  – The author uses Z as the main interface to manage multiple projects.
  – He demonstrates how to open projects in Z and execute terminal-based commands to start servers and test applications.

  2. **Workflow with Codex**:
  – The author explains how he uses Codex for various tasks, including implementing new features and debugging.
  – He shows how to start tasks in Codex and work on multiple projects simultaneously.

  3. **Specific Features and Improvements**:
  – **Anonymization of Inspirations**: The author wants to add a feature that anonymizes videos and thumbnails by replacing people, text, and logos.
  – **Free Trial Refactoring**: He works on improving the Free Trial page to make it more user-friendly and engaging.
  – **Onboarding Test**: He implements and tests an onboarding system for administrators.
  – **Debugging**: The author fixes various bugs, such as unwanted dialog windows appearing and issues with image generation.

  4. **Code Review and Optimization**:
  – The author uses tools like Thermonucléaire Code Quality Review to check and optimize the generated code.
  – He demonstrates how to push changes to GitHub and create pull requests.

  5. **Final Result**:
  – The author demonstrates the successful implementation of new features and improvements, including the anonymization function and the redesigned Free Trial page.

  The author primarily uses Codex and Z for his work and shows how he leverages these tools efficiently to improve his application. The video is intended more for intermediate to advanced users who already have experience with code development and using AI tools.

• Tu es le bienvenu
  9.6.2026, 13:25:31

  The video addresses the danger of relying too heavily on a single AI tool, particularly Claude. The author emphasizes that current market leaders like OpenAI, Anthropic, and Chinese models aim to lock users into their platforms through vendor lock-in strategies, which can be expensive and limiting in the long term. He advises staying flexible, testing various tools, and avoiding dependency on a single solution. As an example, he mentions his own use of Claude, Cursor, and CEX to ensure he’s not dependent on just one tool. The focus is on being ready to switch tools as soon as better alternatives become available.

  The author explicitly addresses Claude, OpenAI, Anthropic, open-source models, and Chinese models, with the video being more suitable for intermediate and advanced users.

• C’est foutu
  8.6.2026, 11:22:40

  The video discusses the decision to switch between different AI models like Claude and Codex. The speaker emphasizes that switching doesn’t automatically lead to higher earnings but often means additional effort, as he would then need to create new tutorials and content. He argues that he must stay honest and won’t pretend to use a specific tool just to please the community. The speaker acknowledges that GPT-4 (Codex) has made significant progress and has reached or even surpassed Claude’s performance, as confirmed by benchmarks and developers. He stresses that even small improvements in AI performance can have major impacts on his daily work. Additionally, he criticizes people who are hesitant to switch AI models, suggesting they may not have taken the necessary steps to remain flexible with different agents.

  The video explicitly addresses Claude and Codex and is aimed at intermediate to advanced users.

• Formation Codex GPT : tout apprendre sur Codex en 2026 (gratuit)
  7.6.2026, 16:00:29

  The video provides a comprehensive introduction to Codex, an AI tool by OpenAI specifically designed for software development. Codex is presented as a powerful competitor to Claude Code and can create applications like Umail, Saveit.now, and Ciao App. Unlike ChatGPT, which functions as a “one-shot” model, Codex enables more complex tasks through its Orchestrator function by leveraging models like GPT-4/5 and combining them with tools such as file operations.

  Installing Codex is done through the official website, and after logging in with a ChatGPT account, you can choose between various pricing models. Setup includes selecting “Coding Mode” and enabling Full Access for maximum functionality. Codex’s user interface resembles ChatGPT but offers additional features like working on projects and integrating with IDEs like VS Code or Z.

  A central feature of Codex is the ability to use Skills that automate specific tasks or workflows. These Skills can be categorized into different types, such as Tool Skills (API integration), Workflow Skills (code reviews, pull requests), and Meta Skills (skills for managing other skills). Skills can be invoked via commands like `/skill` or by directly asking the agent.

  Another important aspect is Subagents, which allow complex tasks to be divided into smaller, parallel subtasks. These Subagents can use specific models and return their results to the main agent, optimizing efficiency and context consumption.

  The video also shows how to configure and manage agents by creating Toml files in a specific directory. These agents can then be used for various tasks such as code exploration, documentation research, or web search.

  Finally, it’s recommended to download the speaker’s configurations and skills to maximize Codex’s capabilities. It’s emphasized that there are many more features like Hooks, MCP, and CLI Skills that could be covered in future videos.

  The video explicitly addresses OpenAI and is more suitable for intermediate to advanced users.

• MIGRATION de Claude à Codex : 1 seul ligne à faire (TUTO SIMPLE)
  4.6.2026, 16:00:38

  The video shows how to migrate configuration from Claude to Codex to simplify the use of Skills and Agents and standardize configuration across different platforms like Cursor and Codex. The creator introduces an open-source CLI tool that migrates the entire configuration in less than 5 seconds with the command `npx ai-blueprint unify`. The tool creates symlinks for Skills and Agents so they’re available on both platforms. Additionally, a backup of the original configuration is created to prevent data loss. The creator emphasizes the importance of keeping configuration easily portable, as tools can change over time. Additionally, the tool Lalal.ai is introduced, which separates audio tracks and offers various audio editing functions.

  The video addresses specific tools like Codex, Cursor, and the open-source CLI tool from ai-blueprint and is more suitable for intermediate users.

Dave Ebbelaar (1 new video)

• Build a Full-Stack GenAI Project in 4 Hours (FastAPI, React, Supabase)
  6.6.2026, 12:44:23

  ### YouTube Video Summary

  The video demonstrates a comprehensive process for building a full-stack GenAI application that enables users to ask questions based on hundreds of documents stored in a database. The focus is on the entire architecture, including frontend, backend, database connection, ingestion and ranking pipeline, and how everything integrates together.

  **Key Steps and Final Result:**
  1. **Project Setup:**
  – Creating a GitHub repository with agent files (e.g., `agents.md`) and dependency management (e.g., `pyproject.toml`).
  – Setting up a virtual Python environment manager (UV) to manage dependencies.

  2. **Data Download and Processing:**
  – Using a Python script (`download.py`) to download financial reports (10-K, 10-Q, annual reports) from companies like Apple, Microsoft, Nvidia, Amazon, and Google from the SEC website.
  – Converting downloaded HTML files to Markdown using the Dockling tool to prepare data for further processing.

  3. **Database Modeling and Migration:**
  – Defining database models (e.g., `users`, `source_documents`, `document_chunks`, `chats`, `messages`, `citations`) with SQLAlchemy.
  – Performing database migrations with Alembic to sync models with the Supabase database.

  4. **Backend Development:**
  – Setting up a FastAPI backend with endpoints for user authentication, chat processing, and document queries.
  – Integrating OpenAI for creating embeddings and language model processing.

  5. **Frontend Development:**
  – Setting up a React frontend with TypeScript and Tailwind CSS for the user interface.
  – Implementing authentication mechanisms (e.g., user login and logout) with Supabase.

  6. **Ranking Pipeline:**
  – Implementing a hybrid ranking pipeline that combines semantic search (with PGVector) and full-text search (with Supabase).
  – Using Pydantic models to structure queries and responses.

  7. **Deployment:**
  – Deploying the application on Railway, a platform-as-a-service provider, using Docker containers for backend and frontend.
  – Configuring environment variables and database connections for production.

  **AI Tools/Models/Providers:**
  – **Claude / OpenAI / Gemini / Open-Source:** The video uses various AI tools such as OpenAI for embeddings and language models, Pydantic for data structuring, and Dockling for document processing.
  – **Specific Tools:** Cursor, Lovable, Cline, n8n.

  **Target Audience:**
  – **Intermediate to Advanced:** The video is designed for developers with advanced knowledge of Python, React, databases, and deployment processes who are interested in AI engineering and full-stack development.

  **Final Comment:**
  The video provides deep insights into building a full-stack GenAI application and demonstrates how various components work together to create a powerful and user-friendly solution. It’s a valuable resource for developers looking to expand their skills in AI engineering and full-stack development.

Niklas Steenfatt (1 new video)

• Ich habe beim größten Schachturnier der Welt mitgemacht!!!
  4.6.2026, 15:56:55

  The YouTuber reports on his participation in the Grankle Chess Open in Karlsruhe, one of the world’s largest chess tournaments. He describes his experiences over five days, during which he played against players with higher Elo ratings, including some strong opponents. He won some games, lost others, and experienced dramatic moments, such as a victory against a stronger opponent who ran out of time. The YouTuber emphasizes the mental and physical strain of the tournament and the special atmosphere among chess enthusiasts. He analyzes some of his games and shows how he became more confident over time despite initial uncertainty. In the end, he achieved an overall score of 5.5 out of nine points and reflects on the unique experiences and challenges of tournament chess.

  The video does not focus on specific AI tools or models and is intended more for intermediate and advanced chess players.

Fireship (1 new video)

• Anthropic is starting to panic…
  9.6.2026, 17:32:30

  The video discusses Anthropic’s current development, which is valued above OpenAI and is planning a billion-dollar IPO. Anthropic warns of the danger of recursive self-improvement in AI, which could become a threat to humanity. The company proposes a global halt to AI development, though this seems difficult due to competition with other companies like OpenAI, DeepMind, and XAI. Historically, such warnings have often been exaggerated, as the example of GPT-2 shows. Nevertheless, there are concerns that AI is already being deployed in critical areas such as data centers, robotics, and weapons. A study by economists from Boston University warns of an “AI Layoff Trap,” in which automation could lead to a decline in demand and thus cause economic problems. Alternatively, the thesis is put forward that AI may not be as powerful as often assumed, and that many AI projects in companies fail to achieve measurable success. The video also mentions tools like Pioneer that can help improve the efficiency of AI applications.

  The video covers Anthropic, OpenAI, DeepMind, XAI, and specific tools like Pioneer, Codeex, Cursor, and Hermes, and is aimed at an Intermediate to Advanced audience.

Julian Ivanov | AI Automation (1 new video)

• How to Let Claude Watch Every Video for You
  7.6.2026, 18:05:41

  The video demonstrates how to use Claude (presumably an AI platform) to analyze and summarize videos frame-by-frame instead of relying solely on transcripts. Users can upload or link videos from various platforms (YouTube, Instagram, Loom, etc.), and Claude extracts key information and images from the videos. This information is then stored in a note in Obsidian, which is particularly useful for visual learners.

  Concrete use cases include:
  1. **Educational videos**: Summarizing instructional videos such as those about transformer architectures, with important diagrams extracted and inserted into notes.
  2. **Videos without speech**: Analyzing vacation videos or other videos without spoken content to identify specific scenes or events.
  3. **Screen recordings**: Analyzing screenshots to identify bugs or issues in apps or programs and find solutions.
  4. **Viral content**: Analyzing successful social media videos to understand why they perform well and what visual hooks are used.

  Installing the required plugin is straightforward and is performed automatically by Claude. Necessary tools include YT-DLP for downloading videos, FFMPEG for extracting frames, and a transcription model like Whisper, which can be accessed through platforms like Grock.

  The video explicitly covers Claude (presumably referred to as Cloud) and open-source tools like YT-DLP, FFMPEG, and Whisper. It is more suitable for intermediate users who already have experience with AI tools and their integration into workflows.

Mark Kashef (1 new video)

• Master All 6 Claude Code Dynamic Workflows
  3.6.2026, 22:00:06

  The video explains six core patterns for effectively using dynamic workflows in Claude Code, which help solve common issues like agent laziness, self-preference, and goal deviation. The patterns include “Classify and Act” for task distribution, “Fan Out and Synthesize” for breaking down complex tasks, “Adversarial Verification” for checking results, “Generate and Filter” for ideation, “Tournament” for decision-making, and “Loop Until Done” for iterative processes. The creator demonstrates the practical application of these patterns through concrete examples and prompts, such as email triage, conducting due diligence checks, fact-checking blog posts, and optimizing codebases. The video also explains how to share workflows with other users and when it makes sense to use workflows. The video is aimed at intermediate to advanced users and explicitly covers Claude Code and its dynamic workflow features.

Everlast AI (4 new videos)

• 20 AI Tools That 99% Have Never Heard Of (And Will Put You Ahead of Everyone)
  9.6.2026, 15:15:07

  The video presents a list of 20 AI tools divided into four categories: Agent Layer, Agent Tools, Daily Driver, and Monitoring. The focus is on tools that go beyond well-known standard tools like ChatGPT and Gemini, enabling greater autonomy and productivity.

  1. **Agent Layer**:
  – **Codex**: A super-app by OpenAI that serves as a working environment for autonomous agents. It enables access to the entire file system and can handle complex tasks like accounting, market analysis, and meeting note analysis.
  – **Cloud Code**: A tool that excels at designing and orchestrating Subagents. It can create complete landing pages and perform competitive analysis.
  – **Cursor**: A full-fledged development environment with agents as the main pillar, capable of switching between different models and offering its own frontier model for coding tasks.
  – **Google AI Studio**: A tool that enables building an entire Android app with just one prompt and sharing it with a few clicks.

  2. **Agent Tools**:
  – **Browser Use**: A tool that gives agents access to a real browser and mouse control to operate websites.
  – **Excalidraw MCP**: An open-source tool for visualizations offering editable views for collaborative work.
  – **N8N MCP**: A tool for workflow automation giving agents access to over 1850 available integrations.
  – **Meta @ CLI**: A tool that gives agents full access to Ads Manager to analyze and optimize campaigns.
  – **Hixfield CLI**: A tool that enables generating advertising creatives directly from the terminal.
  – **Google Workspace CLI**: A tool giving agents access to Gmail, Sheets, Docs, and Calendar.
  – **Agentmail**: A tool providing agents with their own email mailbox with full API support for sending and managing emails.
  – **Remotion**: An open-source plugin enabling video generation and editing as code.

  3. **Daily Driver**:
  – **Superbase**: An open-source database serving as a single source of truth for all data.
  – **Olama**: A tool enabling leading open-source AI models to run locally and offline on Mac or server.
  – **Cloudflare**: A tool enabling apps to securely reach the internet and protect them with Zero Trust.
  – **Corporate LLM**: A platform for productive and GDPR-compliant work with AI models and tools.
  – **Notebook LM**: A Google tool enabling answers based exclusively on uploaded sources and conducting research work.
  – **Voicely**: A desktop app enabling text-to-speech and working five times faster.
  – **Magnific**: A tool for the creative field enabling integration of text-to-image and video models and automating workflows.

  4. **Monitoring**:
  – **Lang Fuse**: An open-source tool logging every model call and monitoring costs. It also enables automatic evaluation of agent response quality.

  The video is geared toward intermediate and advanced users as it presents specific tools and techniques requiring deeper understanding of AI and its applications.

• AI News: HUGE ChatGPT Update! Codex “Apps”, New Features & Local AI Catching Up
  7.6.2026, 08:15:36

  The video summarizes the latest developments in the AI world, with emphasis on major updates from OpenAI, particularly the integration of Codex into ChatGPT. This integration enables a unified experience where agents work in the cloud and proactively complete tasks before users even recognize them. New features like role-specific plugins, annotations, and Codex Sites allow users to create and share software with simple prompts. Additionally, ChatGPT’s improved memory architecture is introduced, which updates itself and is available in the free plan.

  In parallel, there is progress in local AI models. Google has released the open model Gemma 4.12B, which understands text, images, audio, and video and runs on a standard work laptop. This model can be freely integrated into Corporate LM for local and secure work. Nvidia has also presented a new open-weights model, Nemotron 3 Ultra, which is said to be more efficient and faster.

  The video also demonstrates practical applications of these technologies, such as creating a mini-app in Codex and using local models in Corporate LM. It notes that while local models are suitable for certain tasks, they are not yet sufficient for complex tasks like agentic coding.

  Additionally, developments in humanoid robots, particularly from AGI and BYD, as well as construction site automation through Sensmore, are discussed. Microsoft and Meta present new AI models and agents aimed at improving their respective platforms.

  Closing comment: The video covers OpenAI (ChatGPT, Codex), Google (Gemma), Nvidia (Nemotron), Corporate LM, and specific tools like Codex Sites. It is geared toward intermediate and advanced users.

• No.1 Historian: This Time It Could Be DIFFERENT! Luddites, Capitalism & AI (Jürgen Kocka)
  4.6.2026, 14:15:11

  The video is a conversation between Leonard Schweding and Professor Dr. Jürgen Kocka, a renowned historian and capitalism researcher. The main topics of the conversation include the definition and controversies surrounding capitalism, historical changes in the world of work, the role of technology and automation, and the future of capitalism in the age of artificial intelligence (AI).

  Kocka emphasizes that capitalism is a complex economic system encompassing property rights, markets, and investments. He discusses historical developments, particularly industrialization and associated social and economic changes. Kocka mentions Schumpeter’s creative destruction, which brings both opportunities and risks, and stresses the importance of protest and criticism for capitalism’s further development.

  A central theme is the role of technology and automation in the world of work. Kocka refers to historical examples such as the Luddite movement and the Weaver’s Uprising to show that technological advances always bring social and economic upheaval. He argues that fears of job losses through automation are often exaggerated, as new jobs and professions emerge.

  Kocka also discusses the current debate around AI and its effects on the world of work. He emphasizes the importance of adaptability and the necessity to limit the expansion of capitalist principles into areas where they don’t belong. He warns against technocratic utopias and stresses the importance of criticism and protest for capitalism’s further development.

  The video is more suited for intermediate and advanced viewers as it deals with complex historical and economic concepts. It does not address specific AI tools or models, but rather provides a broad historical and societal contextualization of current developments.

  Closing comment: The video does not address specific AI tools or models and is more suited for intermediate and advanced viewers.

• THIS Is Just the BEGINNING! AI, Neuromorphic Chips & Quantum Computers (Prof. Dr. Klaus Mainzer)
  3.6.2026, 14:45:39

  The video is an extensive interview with Professor Dr. Klaus Mainzer, a renowned science theorist and pioneer of complexity research. Mainzer discusses the development of artificial intelligence (AI) and its future challenges and possibilities. He begins with a historical perspective, explaining Pierre-Simon Laplace’s thesis and the limits of computability through Alan Turing’s halting problem. Mainzer emphasizes that complex systems, from galaxies to brains, follow the same mathematical principles, and explains the significance of symmetry breaking and phase transitions in complexity research.

  A central point of the conversation is current AI, which is primarily based on machine learning, which he describes as statistical data optimization. Mainzer criticizes that this form of AI does not fully capture human intelligence, as it cannot recognize causal relationships. He cites the example of Newton and Einstein, who formulated major laws of nature with minimal data. As a solution, he proposes “Physical AI,” in which physical fundamental laws are integrated into AI to improve data optimization.

  Another focus lies on the energy challenges of today’s AI systems. Mainzer explains that neuromorphic systems, modeled on the human brain, could offer a more sustainable alternative. These systems use memristors that integrate memory and processor functions and could significantly reduce energy consumption. He also mentions photonic neuromorphic systems that work with light and could be even more efficient.

  Mainzer also discusses the role of quantum computers, which through their ability to utilize superposition states can solve certain problems faster. However, he emphasizes that quantum computers do not overcome fundamental limits of computability, but merely practical hurdles. He mentions the threat posed by quantum computers to today’s encryption techniques and the necessity of developing new encryption methods.

  In conclusion, Mainzer speaks about the political and societal challenges accompanying AI development. He refers to China’s long-term planning in the field of AI and the effectiveness of business structures in technological development. He stresses the necessity of preserving democratic traditions while simultaneously developing effective political structures to address the complex problems of the future.

  The video explicitly covers the models and providers Claude, OpenAI, Gemini, open-source, as well as specific tools such as neuromorphic systems and quantum computers. It is geared toward intermediate and advanced viewers as it addresses in-depth technical and philosophical aspects of AI and related technologies.

No Priors: AI, Machine Learning, Tech, & Startups (2 new videos)

• Satya Nadella: Why Humans Still Create Value
  8.6.2026, 15:44:06

  The video discusses the connection between human capital and token-based capital in enterprises. It argues that companies are now able to capture implicit knowledge and record it on a balance sheet, which was previously impossible. The ability of humans to identify gaps and develop new forms of agency and ambition remains critical for value creation. Despite growing token capital, human capital will continue to be of great importance.

  The video does not address specific AI tools or models and is more directed at intermediate or advanced viewers interested in enterprise strategy and capital management.

• The Rise of the Full-Stack Builder and Hyper-Leveraged Generalist with Microsoft CEO Satya Nadella
  4.6.2026, 10:00:31

  The video is a podcast interview with Satya Nadella, CEO of Microsoft, in which he discusses the future of AI, Microsoft’s strategy, and the societal impact of AI. Nadella emphasizes the importance of concrete benefits and the need to earn society’s trust rather than just making promises. He talks about Azure’s rapid scaling and the necessity to rethink workflows to leverage AI’s seemingly impossible capabilities. Nadella also mentions the importance of education and the possibility that new startups could develop new educational models. He discusses Microsoft’s role as a platform that enables companies to develop their own AI and emphasizes the importance of private valuations and the ability to improve models. Nadella also addresses AI’s impact on society and the need for AI’s benefits to be felt in communities. The video explicitly addresses Microsoft’s AI strategy and is intended more for intermediate and advanced viewers.

Nic Conley

No new videos in this period.

Tech With Tim (9 new videos)

• The Software Development Bottleneck Just Moved
  9.6.2026, 12:00:08

  The video discusses how bottlenecks in software development have shifted. Previously, the focus was on writing large amounts of code, which was expensive and time-consuming. Today, code is relatively cheap to produce, but other skills have become scarce. These include system design, operational excellence, observability, incident response, debugging in production, and the ability to evaluate trade-offs. The bottleneck is no longer about how much code can be written, but how much code can be reviewed, secured, deployed, and maintained in production with all necessary features. It’s no longer about code quantity, but code quality. The emphasized skills enable the development of scalable, profitable, and usable systems.

  The video covers general software development principles and is aimed at intermediate or advanced viewers.

• Why Companies Won’t Hire Junior Devs And Why It’ll Backfire
  8.6.2026, 12:00:34

  The video discusses the problem of declining engineering talent in the software industry. It notes that software quality is decreasing due to frequent security breaches and exploits. At the same time, fewer junior developers are being hired and trained, while senior developers are retiring. This creates a situation where companies primarily seek experienced senior engineers, making it harder for newcomers to enter the field. In the long term, this could lead to a shortage of qualified developers since talent development is being neglected.

  The video addresses general industry trends and is aimed at intermediate or advanced viewers interested in software development challenges.

• I Went to the Biggest AI Infrastructure Conference
  7.6.2026, 14:30:01

  The video covers challenges and solutions related to developing and deploying AI agents. The main focus is on Temporal, a platform that enables reliable AI agent execution through durable execution. Temporal solves problems like timeouts, server restarts, and other production failures by storing workflow state and providing automatic retries and error recovery. The video shows demos and workshops from the Temporal Replay Conference in San Francisco, demonstrating the use of Temporal for building durable AI applications in Python. It also includes interviews with other tech influencers explaining Temporal’s benefits. The conference presented new features and partnerships, including close collaboration with OpenAI, which uses Temporal to scale their AI applications. The video emphasizes Temporal’s importance for reliable AI integration in applications and encourages viewers to try the platform.

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

• The Fastest Way to Get Good at Coding
  7.6.2026, 12:00:00

  The video emphasizes that the fastest way to improve skills is by building projects that are slightly above your current skill level. After learning a concept through tutorials, you should immediately implement similar projects without guidance. A completed project teaches more than multiple unfinished ones. By working on something slightly more complex, you learn new things, solve problems, and develop critical thinking. The key is not to overwhelm yourself, but still challenge yourself. The speaker emphasizes that this method personally contributed to his coding success.

  The video covers general learning strategies and is aimed at intermediate viewers.

• Why Python Is Easy to Start but Hard to Master
  6.6.2026, 12:00:20

  The video emphasizes that Python is one of the easiest programming languages to start with, but also one of the most powerful to master. However, it warns that despite the easy entry, it takes time and effort to truly excel. The basics require weeks of work, while mastery can take months or even years. The good news is that demand for Python developers, especially in AI and data science, has never been higher. The investment is worthwhile. The advice is to go deep in a specific area rather than spreading yourself thin across many areas. Once you’re good in one area, many other skills will automatically follow, but you’ll already have an advantage through expertise in a niche that can get you a job and launch your career.

  The video covers Python and is aimed at beginner and intermediate viewers.

• Hermes Agent – Full Course & Setup Guide – For COMPLETE Beginners
  5.6.2026, 14:00:09

  The video is a comprehensive guide for beginners on how to install, configure, and use Hermes Agent. The creator walks through step-by-step how to set up Hermes Agent on a virtual private server (VPS), using Hostinger as an example. He emphasizes the importance of security measures and shows how to safely manage API keys and access permissions.

  The creator explains the five core concepts of Hermes Agent: memory, skills, Chronos (scheduled tasks), personality, and self-improvement. He discusses the significance of Hermes Agent’s self-learning capabilities, which distinguish it from other agent frameworks like Open Claw.

  The creator demonstrates how to connect Hermes Agent with various tools and services like Gmail, Google Calendar, and Composio to create automated workflows. He showcases creating daily email triage and security audits along with other practical use cases.

  At the end of the video, the creator encourages viewers to develop creative and useful use cases for Hermes Agent, emphasizing that the agent’s effectiveness depends on proper configuration and integrations.

  The video explicitly covers Hermes Agent and is aimed at beginners.

• The Biggest Mistake I Made Learning Python
  5.6.2026, 11:53:09

  The video discusses the biggest mistakes the speaker made when learning Python. The main mistake was trying to learn everything at once—web development, game development, data science, scripting, and automation. This resulted in being superficial in many areas but deep in none. He started various projects like Flask, Pygame, or data analysis but finished none of them. After months of learning, he couldn’t confidently create a complete project in any of these areas. Instead, he should have mastered the fundamentals first and then chosen a specific direction.

  The speaker emphasizes the importance of focusing on fundamentals first, then diving deep into a specific area to actually learn and apply something. The video is aimed at beginners wanting to learn Python and avoid making similar mistakes.

  The video does not cover any specific AI tools or models.

• The Right Way to Learn Machine Learning Most People Don’t
  4.6.2026, 12:00:56

  The video argues that machine learning is one of the most rewarding skills you can learn today, but only if you approach it correctly. The biggest mistake is getting lost in learning mode and never building anything. You don’t need a PhD or to understand every paper, but you do need problem-solving ability. The latter is the difficult part that many don’t focus on. While entry seems like a lot, in any field it’s a short time if you tackle the right projects and build before diving into theory. With a roadmap, you’re guaranteed success if you stick with it.

  The video covers machine learning and is aimed at intermediate viewers.

• Stop Tutorial Hopping — Do This Instead
  3.6.2026, 12:07:41

  The video recommends a 70/30 rule for learning machine learning, where 70% of time should be invested in practical projects and 30% in theory. Most people do the opposite, but a higher focus on practical work is crucial to gain experience and make mistakes. Additionally, it’s recommended to learn publicly by sharing projects on GitHub and writing about what you’ve learned on LinkedIn, since ML recruiters primarily look for practical experience. The video also warns against jumping between tutorials but instead suggests completing a structured resource from start to finish.

  The video covers general learning strategies for ML and is aimed at beginner and intermediate viewers.

NeuralNine (3 new videos)

• Simulating Percolation in Python: How Do Wildfires & Diseases Spread?
  8.6.2026, 16:00:34

  The video demonstrates how to simulate percolation in Python, which are processes where something spreads, such as diseases or wildfires. The focus is on learning animations and simulations, as well as understanding the mathematical phenomenon of percolation. A 2D grid simulation is created where randomly placed “people” or “trees” become infected or ignited and spread to their neighbors. The critical parameter is the grid occupancy (here 59.27%), at which point the infection or fire statistically spreads across the entire grid or doesn’t. The tutorial shows the steps for creating the simulation, including calculating the spread and visualization with Matplotlib. It also explains how to adjust the occupancy parameter to increase or decrease the likelihood of spread. The video is suitable for intermediate Python programmers looking to deepen their skills in animation and simulation.

  **AI-Tools/Models/Providers:** Python, NumPy, Matplotlib, Open-Source

  **Target Audience:** Intermediate

• This Is My Favorite Claude Code Feature…
  5.6.2026, 16:00:18

  The video showcases the “Remote Control” feature of Claude Code, which allows you to control code sessions from a smartphone. The user can continue an active session on their computer from their phone via a QR code or link connection. This enables coding on the go, such as on the subway or in the bathroom. The process involves starting a session, enabling remote control, and connecting the phone to the session. The user can then send commands and make changes from their phone and see the results in real time. The feature is particularly useful for simple tasks like changing styles or brainstorming features, but is less suitable for complex programming work. The user emphasizes that the session should run in an isolated environment, as ending the session sometimes doesn’t work reliably. He recommends running multiple sessions in parallel to work on different projects.

  The video explicitly covers Claude Code and is geared toward intermediate users.

• PostgreSQL Crash Course – Beginner Tutorial
  3.6.2026, 16:00:33

  The video is a crash course on PostgreSQL, a relational database management system. It begins with an introduction to PostgreSQL, highlighting its advantages such as being open-source, user-friendly, and extensible. The course covers the installation of PostgreSQL, both locally and via Docker, and demonstrates the use of pgAdmin, a web interface for managing PostgreSQL.

  The main part of the video covers fundamental SQL commands:
  – Creating and deleting tables (CREATE TABLE, DROP TABLE)
  – Inserting, updating, and deleting data (INSERT, UPDATE, DELETE)
  – Querying data (SELECT) with filtering (WHERE), sorting (ORDER BY), grouping (GROUP BY), and aggregation (COUNT, AVG, MIN, MAX)
  – Modifying tables (ALTER TABLE) and establishing relationships between tables (JOINs, Foreign Keys)
  – Modeling many-to-many relationships through a separate junction table

  The video also shows how to manage the database via the command line with psql and how to use constraints like NOT NULL, UNIQUE, and CHECK.

  Finally, it emphasizes that this is a crash course for beginners and that intermediate and advanced courses could follow if there is positive feedback.

  **AI-Tools/Models/Providers:** PostgreSQL, Docker, pgAdmin
  **Target Audience:** Beginner

Bart Slodyczka (3 new videos)

• Running Gemma 4 12b on my 16gb Mac Mini
  9.6.2026, 12:00:12

  The video introduces Google’s new open-source model Gemma 4 12B, which is specifically optimized for devices with 16 GB RAM. It positions itself between smaller, less powerful models (Gemma 4 E2B and E4B) and larger, high-performance models (Gemma 4 26B and 31B). Notably, the Gemma 4 12B achieves the performance of the larger 26B model while consuming only half the storage space. The model can be downloaded and used via LM Studio, requiring 7.56 GB of storage. Context length can be up to 260,000 tokens, though this affects available memory. The video demonstrates how the model runs on a 16 GB Mac Mini and conducts a simple conversation, albeit with somewhat slow response speed.

  The video explicitly focuses on Google’s open-source model Gemma 4 12B and is better suited for intermediate users.

• Gemma 4 12B on a 16GB Mac Mini Is Surprisingly Capable
  4.6.2026, 12:00:09

  The video introduces Google’s new open-source model Gemma 4 12B, which can run on devices with 16 GB RAM with 12 billion parameters. The creator tests the model on a 16 GB M4 Mac Mini and compares it with larger models in the Gemma family. Despite its smaller size, the 12B model demonstrates similar performance to the 26B model, as demonstrated through benchmarks in areas like coding, agentic tool calling, and reasoning. The creator discusses technical aspects such as RAM usage and context length, showing how the model is loaded and used in LM Studio. The model’s multimodality and capability to process images and audio are also mentioned. Additionally, the new multi-token prediction feature that accelerates response generation is explained. The creator tests the model’s OCR capabilities with an invoice and demonstrates how to create a simple application to parse the invoice. Despite some OCR inaccuracies, the creator is excited about the model’s possibilities on a small device.

  **AI Tools/Models/Providers:** Google (Gemma 4 12B), LM Studio. **Target audience:** Intermediate.

• Spin up 100’s of agents for free in claude code #claudecode #aiagents #tutorial
  3.6.2026, 12:00:03

  The video shows how to connect the Claude Code desktop app with an AI model running locally on your computer to use hundreds of agents for free. The process includes downloading the app, enabling developer mode, and configuring a third-party inference service. LM Studio is used to load a local model (Gemma 4 E2B) and name it “Claude Opus 4.8” so the app recognizes it. Subsequently, users can use the app without an Anthropic API key or account and access local models.

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

AI Explained

No new videos in this period.

Alex Finn (2 new videos)

• Hermes Agent just WON (Hermes desktop app)
  3.6.2026, 21:47:44

  The video presents a detailed showcase and review of the new Hermes desktop app, which is presented as revolutionary for interacting with AI agents. The author highlights several key features:

  1. **Sessions and Organization**: The app enables the creation and organization of sessions for different life areas, providing better context management and structure compared to Telegram or Discord.
  2. **Artifacts**: A feature described as a “second brain” that stores all links, files, and images shared with the AI agent, making them easily accessible.
  3. **Messaging**: Simplified setup of messaging services without the need for CLI.
  4. **Skills and Toolsets**: The app displays all installed skills and allows disabling unnecessary skills to save tokens. Self-improving skills and toolsets for specific tasks like browser automation are also highlighted.
  5. **Cron Jobs**: Improved management of cron jobs with a user-friendly interface that allows validating, testing, and pausing jobs.
  6. **Profiles**: Management of multiple Hermes agents with different roles, skills, and personalities.
  7. **Settings**: Customizable models, appearances, and API key management.

  The author demonstrates the app’s usage by creating a script and thumbnail for a YouTube video, emphasizing the app’s user-friendliness and efficiency.

  Final Comment: The video explicitly covers the Hermes desktop app and is aimed more at intermediate to advanced users.

• Claude Fable 5 just dropped and I’m speechless…
  9.6.2026, 20:08:12

  The video covers the release of Claude Fable 5 from Anthropic. The host emphasizes the model’s outstanding benchmark results and discusses its unique features and recommendations for usage. Key points include treating Claude Fable 5 as an equal partner, using goals and loops for autonomous workflows, and encouraging more ambitious projects. The host demonstrates the model’s usage by building a complex personal productivity app in a single goal, highlighting the benefits of extended planning and loop capabilities. He also shows how to integrate Claude Fable 5 into other tools like Linear to automatically manage tasks. At the end, it’s noted that Claude Fable 5 is initially available only to subscribers before being offered via API at a higher price point.

  The video explicitly covers the AI model Claude Fable 5 from Anthropic and is aimed more at intermediate to advanced users.

AI Foundations (1 new video)

• FULL Hermes Agent Tutorial For Beginners in 2026! (Become a PRO)
  3.6.2026, 14:00:39

  This video is a comprehensive tutorial on setting up and using Hermes Agent, an autonomous 24/7 AI agent. It begins with an introduction to Hermes Agent, including how it works and its three main layers: memory, skills, and cron jobs. The host explains how Hermes Agent learns and improves over time by completing tasks and receiving feedback.

  Next, the process of setting up Hermes Agent on a VPS (Virtual Private Server) is described in detail, using Hostinger as an example of a VPS provider. The host walks through the setup steps, including choosing a VPS plan, installing Docker, and configuring Hermes Agent.

  After setup, the video shows how to connect Hermes Agent with Telegram to enable communication through this platform. The host demonstrates how to create and configure a Telegram bot to interact with Hermes Agent.

  Another important step is connecting tools with Hermes Agent. The host shows how to integrate Tavli, a tool for web search and extraction, with Hermes Agent by setting API keys in the configuration. This enables Hermes Agent to access the internet and research information.

  Finally, the creation of a scheduled automation process with Hermes Agent is demonstrated. The host shows how to create an automatic task that regularly researches and summarizes AI news, and how to receive this task in Telegram.

  The video is aimed at intermediate users who already have basic knowledge of AI tools and want to deepen their expertise further. It covers specific tools and providers, including Hostinger for the VPS, Telegram for communication, and Tavli for web search.

n8n (2 new videos)

• n8n Natively supports open telemetry and tracing
  9.6.2026, 13:00:26

  The video demonstrates how n8n automatically includes workflows and node executions in traces by adding two environment variables to the configuration. These traces are represented as parent spans for workflows and child spans for nodes. n8n uses OpenTelemetry for this implementation, enabling seamless integration into existing tracing setups for both incoming and outgoing data. Prior to this change, costs for AI classifications in n8n for the user’s news website were not visible, but are now displayed in Grafana.

  The video explicitly covers n8n and OpenTelemetry and is geared toward intermediate users.

• n8n Now Speaks OpenTelemetry: Production Tracing for Workflows
  4.6.2026, 12:58:23

  The video introduces the new OpenTelemetry support in NADN 2.22, which enables integrating workflow traces into existing distributed tracing setups. With just two configuration steps, workflow and node executions are included in traces, facilitating visualization of latency, errors, and anomalies. NADN uses OpenTelemetry (OTEL) and the W3C Trace Context Standard, enabling seamless integration into existing tracing setups. The feature is also available in the free community plan and offers customization options such as configurable sampling rates and the option to disable node spans. Additionally, users can add custom metadata via telemetry tags. For setup from scratch, a trace collector and visualizer are required, with NADN passing the trace ID to downstream services, which are then responsible for sending the traces themselves.

  The video explicitly covers NADN and OpenTelemetry (OTEL) and is aimed at intermediate users already familiar with distributed tracing or looking to implement it.

Greg Baugues

No new videos in this period.

TheAIGRID (6 new videos)

• Don’t Use Chatbots Anymore! Skywork 3.0 Tutorial & Guide
  7.6.2026, 16:30:33

  The video introduces Skywork 3.0, a platform described as a “cloud workforce” and not just another chatbot. Skywork allows users to set goals and have tasks executed in the background without technical prerequisites or local setup. The platform provides access to various models such as Cloud Opus 4.7, GPT 5.5, and open-source models like Kimmy K 2.5. Skywork 3.0 can create documents, presentations, images, and websites as well as generate videos. The video demonstrates practical examples such as creating a document about preparing for AGI by 2030, generating presentations about Google DeepMind’s Gemini Science Division, creating images and announcements, and developing a landing page for a brand. Additionally, the video feature is demonstrated, which combines various models under one interface. Skywork 3.0 thus replaces multiple tools and saves time and money.

  The video explicitly addresses Skywork 3.0 and is aimed at intermediate users who already have basic knowledge of AI tools.

• How To Use ChatGPT Memory (Updated Memory Guide)
  6.6.2026, 16:30:21

  The video explains OpenAI’s new memory system for ChatGPT, which enables relevant and personalized responses. The system automatically remembers context from chats, files, and connected apps, reducing the need to repeat information. Users can manage, edit, and update their memory summary in settings under personalization. The video shows how to make specific corrections or exclude certain information from future responses. Additionally, users can view the sources of personalization and adjust them as needed. The video also addresses common questions such as handling sensitive information, using temporary chats, and the differences between memory and custom instructions.

  The video explicitly addresses OpenAI’s ChatGPT and is aimed at intermediate users.

• Meta’s New AI Pendant Set To Shock AI World – Metas AI Pendant Explained
  4.6.2026, 23:00:31

  The video discusses Meta’s plans for a new AI wearable device, a small pendant that continuously records conversations and meetings and organizes them with AI. The technology is based on the acquired startup Limitless and is set to be tested starting in 2027. The device fits into Meta’s strategy of selling hardware and engaging users for AI services, but faces major challenges. On one hand, it could boost productivity; on the other hand, there are significant concerns about privacy and data protection. Meta must prove that the device is both useful and trustworthy, particularly given past data scandals and regulatory hurdles. The market for always-on listening wearables is difficult, as evidenced by examples like Humane’s AI Pin and Friend AI. Meta could be more successful with a gradual rollout in the enterprise market before targeting the consumer market.

  **Final note:** The video addresses Meta’s AI models and specific tools such as the Limitless Pendant and Humane’s AI Pin, and is aimed at intermediate users.

• How to Install the Hermes Desktop App (Complete Setup Guide)
  4.6.2026, 02:30:27

  The video shows step-by-step how to install and set up the new Hermes desktop app. First, the app must be downloaded and installed from the Hermes website, which takes approximately 10 to 15 minutes. The installation does not replace the existing Hermes installation but merges with it.

  After installation, several settings must be configured:
  1. **Gateway**: Enter the session token and remote URL here to connect the desktop shell with a remote Hermes backend.
  2. **API Keys**: Various API keys can be configured here to use agents for different applications.
  3. **LLM Provider**: At least some LLM providers (such as DeepSeek) must be configured to communicate with the model.
  4. **Model Selection**: Choose the model to use, e.g., DeepSeek V4 Pro.
  5. **Appearance**: Choose between different themes such as Dark Mode or Cyberpunk.
  6. **Memory and Context**: These options should be enabled to ensure consistency between chats.
  7. **Voice Chat**: Configure settings for voice interaction here.
  8. **Profiles**: Create and manage different profiles with different personalities.
  9. **Skills**: Equip agents with various skills that work depending on the model.
  10. **Cron Jobs**: Create and manage automated tasks.
  11. **Messages**: Configure interaction methods with the Hermes agent, including various chat apps and email services.
  12. **Usage Statistics**: Monitor API calls, estimated API costs, and token usage.

  The video explicitly addresses the Hermes Desktop App and is better suited for intermediate users who are already familiar with Hermes.

• Microsofts New Quantum Breakthrough is 1000X BETTER! – Majorana 2 Explained
  3.6.2026, 17:50:03

  The video reports on Microsoft’s announcement of its new quantum chip “Majorana 2,” which is allegedly 1,000 times more reliable than previous generations. The chip uses lead instead of aluminum as a superconductor, which significantly improves qubit stability. Microsoft claims that qubits now remain stable for up to a minute, representing an enormous advance over microseconds. A central aspect of the development was the use of AI agents to analyze data, automate measurements, and identify design flaws. Microsoft sees this as proof that AI can accelerate scientific research. The chip could become commercially viable by 2029 and solve problems that classical supercomputers cannot. Additionally, Microsoft introduced the AI platform “Microsoft Discovery,” which is now generally available. However, critics caution against accepting the announcements uncritically, as reliability and scalability still need external verification.

  The video explicitly addresses Microsoft’s AI agents and the “Microsoft Discovery” platform and is aimed at intermediate and advanced users.

• How To Use Claude Fable 5 – Tips And Tricks Most People Miss
  9.6.2026, 21:31:13

  The video covers the usage and characteristics of Anthropic’s Fable 5 model. It emphasizes that Fable 5 is a powerful model but not suitable for daily use. On topics such as biology, chemistry, cybersecurity, or mathematics, the model automatically falls back to Opus 4.8 due to strict safety measures. Additionally, there are hidden safety mechanisms that reduce the model’s performance in certain areas such as building language models. Access to Fable 5 is through Usage Credits, which are twice as expensive as Opus 4.8. Fable 5 has strong visual capabilities and is leading in processing PDFs, charts, and diagrams. It’s also important to know that inputs and outputs are stored for 30 days, which is relevant for sensitive organizations.

  The video explicitly addresses Anthropic’s Fable 5 model and is aimed at intermediate users.

Theo – t3․gg (4 new videos)

• Elon won after all
  9.6.2026, 07:53:14

  The video addresses the current crisis in compute availability, particularly in AI development. Major tech companies like Microsoft, Google, and Anthropic are heavily impacted by this shortage, as demand for GPUs and other hardware components far exceeds production capacity. The reasons for this crisis are diverse, ranging from complex supply chains and energy shortages to long lead times for manufacturing new chips. TSMC, the leading semiconductor manufacturer, cannot meet demand quickly enough, and production of high-speed memory (HBM) and storage is also severely constrained. SpaceX, which has excess computing power, is now selling it to companies like Google and Anthropic, highlighting the industry’s dependence on a few suppliers. Nvidia benefits from the situation as demand for its GPUs remains unchecked. The speaker emphasizes that the crisis will likely persist and hardware prices won’t fall. The video explicitly covers Nvidia, SpaceX, Google, Anthropic, TSMC, and OpenAI and is aimed at intermediate to advanced viewers.

• I didn’t expect this from Anthropic
  8.6.2026, 11:47:22

  The video discusses potential risks and scenarios of recursive self-improvement in AI systems, based on an Anthropic article. It starts with the question of what happens when AI systems become intelligent enough to improve themselves, and addresses concerns about rapid, uncontrolled progress (hard takeoff). The Anthropic article shows that AI development productivity has been massively increased through the use of AI systems like Claude, leading to acceleration of AI development. Three possible future scenarios are discussed: progress stagnates, AI development becomes highly automated but maintains human control, or AI systems become fully recursive self-improving and exceed human control. The video emphasizes the need to think about the implications of these developments and possibly temporarily pause AI development to allow for societal structures and alignment research. The difficulty of global coordination and monitoring of such pauses is also discussed.

  The video explicitly covers AI models and providers from Anthropic (Claude) and is aimed at intermediate to advanced audiences.

• Cloudflare bought Vite to destroy Vercel
  6.6.2026, 20:21:44

  The video discusses Cloudflare’s acquisition of Void Zero, the company behind the popular JavaScript tool Vite. The speaker emphasizes Vite’s importance for web development and the strengths of the Vite ecosystem, such as Vite Test, Rollup, Oxe, and Vite Plus. The acquisition by Cloudflare is presented as strategically sound, as Cloudflare is now able to build a new cloud platform specifically tailored to the needs of developers and agents (AI-driven tools). The speaker highlights how integrating Vite into Cloudflare’s infrastructure significantly simplifies and accelerates application development and deployment. He compares this with the current situation at other platforms like Vercel and emphasizes the benefits of seamless code and infrastructure integration. The video also underscores the importance of AI agents for the future of web development, as they can automate complex tasks and accelerate application development. The speaker demonstrates an example project called Lakebed, which provides a new abstraction layer for application development and deployment tailored to the needs of AI agents. He emphasizes that Cloudflare’s acquisition of Void Zero strengthens its position in the cloud platform market and will significantly influence the future of web development.

  The video explicitly covers Vite, Cloudflare, and specific tools like Browserbase, Infinite Red, and Lakebed. It is aimed at intermediate and advanced developers.

• I miss when programmers were lazy.
  4.6.2026, 23:15:49

  The video discusses the three classic virtues of great programmers—laziness, impatience, and hubris—and how they are changing in the age of AI. Laziness drives programmers to create efficient abstractions that save time in the long run. Impatience leads them to solve problems quickly and correctly, while hubris pushes them to work on ambitious projects. The author emphasizes that these virtues lead to high-quality software but warns that AI tools like Large Language Models (LLMs) can undermine these virtues. LLMs can generate large amounts of code without regard for quality or maintainability, resulting in bloated and difficult-to-maintain systems. The author argues that programmers must continue to bear responsibility for creating simple and efficient abstractions, and that AI tools should only serve as aids in achieving these goals.

  The video explicitly covers Large Language Models (LLMs) and is aimed at intermediate or advanced programmers.

Liam Ottley (1 new video)

• Start a $10,000/mo Solo AI Creative Agency (Higgsfield + Claude)
  8.6.2026, 06:24:52

  **Summary:**

  The video demonstrates how someone can create a complete brand identity, product photos, static ads, commercials, and a backend system for a fictional brand called “Vault” in a single day using two tools (Higgsfield and Claude). The process includes creating branding elements such as logos, product images, and packaging designs, as well as producing advertising videos and social media content. Higgsfield is used for image and video generation, while Claude serves as the “brain” of the system, writing prompts, briefs, and copy while orchestrating the entire workflow. Notion is used as the backend to track all clients, ads, and approvals. Appify serves as a live competition signal that brings new ideas into the pipeline for clients. The entire process is consolidated into an AIOS (AI Operating System) that enables the production of complete advertising campaigns for clients.

  **Final Note:**

  The video explicitly covers the tools Higgsfield, Claude, Notion, and Appify and is aimed more at intermediate and advanced users.

Productive Dude

No new videos in this period.

Nick Saraev

No new videos in this period.

Leon van Zyl (3 new videos)

• Claude Code Dynamic Workflows Explained for Beginners
  9.6.2026, 12:30:55

  The video shows how to create and use dynamic workflows with Claude Code. It explains that Claude Code writes its own orchestration script to distribute tasks across hundreds of parallel-running subagents. The video demonstrates the creation of a workflow that performs security checks on YouTube videos based on the OWASP Top 10. It emphasizes that dynamic workflows are particularly useful when tasks need to be repeated at scale, and that they are not suitable for simple tasks due to their high token cost. The video provides practical tips on how to start, test, and save workflows, as well as how to avoid conflicts between agents making simultaneous changes to the same codebase. At the end, it shows how to save a workflow and reuse it in future projects.

  The video explicitly focuses on Claude Code and is better suited for intermediate to advanced users.

• Stop vibe coding. Use this repeatable AI framework instead
  6.6.2026, 09:22:18

  The video introduces a free course called “Seven Day Builder Challenge” that deals with agentic coding. The course is based on the Ramp Framework, which consists of four steps: Rules, Augment, Map, and Proof. This framework helps equip agents with rules and skills, create a clear structure for problem-solving, and verify results. The course is divided into seven days, with the first five days covering the Ramp Framework and the final two days presenting a challenge where participants create their own applications and share them with the community. The course is suitable for beginners and experienced builders alike and is tool-agnostic, meaning it can be completed with various coding agents like Claude Code, Codecs, or OpenCode.

  The video covers various AI models and tools such as Claude Code, Codecs, and OpenCode and is suitable for both beginners and intermediate users.

• OpenCode + Ollama: I Replaced Claude Code With This (Full Setup)
  4.6.2026, 12:06:58

  The video shows how to set up OpenCode with Ollama for a free and local coding agent. The author describes the issues with Claude Code, which overwhelms local models due to its high token consumption for system prompts and tools. As an alternative, OpenCode is presented, which operates more efficiently and is better compatible with local models like those from Ollama. The setup process includes installing Ollama, downloading an appropriate model (e.g., Gemma 4 or Qwen 3.6), and connecting OpenCode with Ollama. The author demonstrates using OpenCode to create a Next.js project and implement a local chat app, emphasizing the importance of small, focused instructions. Additionally, it shows how to troubleshoot and test the app by granting the agent access to a browser.

  The video explicitly covers OpenCode, Ollama, and specific models such as Gemma 4 and Qwen 3.6. It is better suited for intermediate and advanced users who already have experience with local models and coding agents.

Tim Carambat (1 new video)

• Google Just Found a Loophole in AI Hardware Limitations
  9.6.2026, 18:00:09

  The video introduces Google’s new Gemma 12B model and its derivative, the 12B QAT (Quantization-Aware Training). The presenter, Timothy Carenbat, founder of Anything LLM, explains that Gemma aims to develop intelligent models for edge devices like laptops and smartphones. The Gemma series models include various sizes, from small multimodal models (E2B and E4B) to larger, compute-intensive models (26B and 31B). The 12B model fills the gap between these sizes and offers improved multimodality by integrating text, image, and audio processing in a single model without requiring separate encoders. This makes it lighter and more efficient to run across a wide range of devices.

  The presenter compares the performance of the 12B model with other models like Quen 3.5 9B and demonstrates that the 12B model performs well on certain tasks despite its lower parameter count. A notable feature of the 12B QAT model is the Quantization-Aware Training technique, which enables the model to run with less computational power without significantly losing intelligence. This is demonstrated through an example where the model successfully executes a complex task with multiple tools, such as web scraping, content summarization, and PDF creation.

  The presenter is overall very satisfied with the performance of the 12B QAT model and emphasizes that it offers a good balance between performance and resource consumption. He plans to continue testing the model and share more information about Anything LLM’s features in future videos.

  Final comment: The video explicitly covers Google’s Gemma 12B and 12B QAT models as well as a comparison with Mistral’s Quen 3.5 9B. It is more suitable for intermediate and advanced users interested in local models and their optimization.

WorldofAI (8 new videos)

• Claude Fable 5 TOMORROW? GPT 5.6 Kindle, OpenAI IPO News, Gemini 3.5 Pro, Nex-N2, & More! AI NEWS!
  9.6.2026, 07:37:55

  The video provides an overview of the latest developments in AI models and technologies. The key points are:

  1. **Anthropic and Claude Mythos**: Anthropic may soon release the new AI model Claude Mythos, possibly as early as tomorrow. There are indications of new checkpoints like Claude Fable 5 and Claude Fruitcake EAP associated with Mythos. Polymarket estimates the probability of a release this month at 92%. Leaked outputs show impressive capabilities, such as fully replicating the “Cut the Rope” game in a single step.

  2. **Google Gemini 3.5 Pro**: There are leaks about Google’s new Gemini 3.5 Pro, though it continues to suffer from “laziness” issues where the model provides incomplete or simplified responses. Google is working on improvements to make the model comparable to GPT 5.6 and Mythos.

  3. **OpenAI GPT 5.6**: OpenAI has tested two new checkpoints, Kepler and Kindle, for GPT 5.6. Kindle appears to be the favored candidate for release and demonstrates impressive capabilities in converting images to code. OpenAI has also filed for an IPO, indicating a potential imminent public listing.

  4. **Open-Source Models**: The new open-source model Nex N2 shows strong performance across various benchmarks and comes close to models like GPT 5.5 and Opus 4.7. It is agentic and can automatically adjust its reasoning level.

  5. **Google Notebook LM**: Google has updated Notebook LM with agentic capabilities and improved research features. It can now autonomously add relevant web sources and support complex workflows.

  6. **Kimmy for Work**: A new desktop app from Kimmy with agentic capabilities that can run up to 300 local agents in parallel and offers improved browser interactions.

  7. **Apple Siri AI**: Apple introduced Siri AI at WWDC26, enabling deeper OS integration and personal context processing. There is also a collaboration with Google to integrate Gemini models into Apple development environments.

  8. **Humanoid Robots**: A new humanoid robot with magnetic skin and servo-controlled facial expressions was introduced, raising ethical questions.

  The video explicitly covers Anthropic, Google, OpenAI and specific tools like Kimmy for Work. It is aimed more at intermediate and advanced users as it contains detailed technical information and analysis.

• DeepSeek NEW Desktop App – The 24/7 Self-Evolving AI Agent!
  8.6.2026, 06:03:26

  The video introduces a new desktop application called “Deepseek Buy” specifically developed for use with DeepSeek models. This application transforms DeepSeek from a simple API model into a complete working environment for coding, writing, automation, and long-term AI sessions. The app offers various modes such as code mode for accessing project files and code reviews, as well as a writing mode for working with longer documents. A special feature is the integrated token efficiency mechanism that enables better context management and higher cache hit rates. The application is cross-platform available for MacOS, Linux, and Windows and offers numerous integrations and tools. Another advantage is DeepSeek’s cost-effective pricing model, making the application particularly attractive to use.

  The creator emphasizes the importance of code reviews and introduces Test Sprite as a sponsor, an AI-powered testing tool that automatically creates test plans and identifies edge cases that could otherwise reach production. He points out that the application is open-source and not officially from DeepSeek, and mentions DeepSeek’s privacy policy, which states they train with user data.

  Installing the application requires NodeJS 20 or higher, a paid DeepSeek API key, and internet access for initial setup. The creator demonstrates the installation and configuration of the application and shows its features, including creating a frontend layout with minimal costs. He praises the efficiency and capabilities of DeepSeek models and recommends the application as a cost-effective alternative to other proprietary AI working environments.

  Closing Comment: The video covers DeepSeek, an open-source desktop application called Deepseek Buy, and is aimed more at intermediate and advanced users.

• Claude Mythos 5 LEAKED & IS Coming Sooner Than Expected & GPT-5.6 Checkpoint Out! Huge AI News!
  7.6.2026, 06:44:20

  The video discusses current developments in AI models and tools. Here are the key points:

  1. **Anthropic Mythos 5**: A leaked model that may be released soon, possibly even this month. It could be a new model class standing alongside the existing Haiku, Sonnet, and Opus families. Expected prices are five times higher than Opus 4.8, suggesting a significant performance increase. The model demonstrates impressive capabilities, such as creating a complete Minecraft clone with multiplayer functionality, generating music, and replicating complex websites.

  2. **OpenAI GPT 5.6**: New checkpoints named Kelpar Alpha and Kindle Alpha were introduced, with the latter selected as the release candidate. The models demonstrate improved capabilities in frontend development and other complex tasks. The release could happen later this month.

  3. **DeepSeek**: The company is working on a new GUI that could improve user-friendliness and productivity for power users. A native app could make it easier to use for coding, research, and daily productivity.

  4. **Artificial Arena Purple**: A new, powerful video model discovered in Artificial Arena. It demonstrates impressive capabilities in creating realistic animal videos and following text instructions. It could be an omni-model from Google.

  5. **UWorld U1 Companion Humanoid**: A new humanoid robot with emotional AI that learns through daily interactions. The robot has already received over 1,000 pre-orders and raises questions about the future of AI companions.

  The video explicitly covers AI models and providers Anthropic (Mythos 5), OpenAI (GPT 5.6), DeepSeek, and Google (Omni model). It is aimed more at intermediate and advanced users as it contains detailed technical information and analysis.

• Gemma 4 12B Is INCREDIBLE! BEST Local AI Coding Model! IS POWERFUL! (Fully Tested)
  6.6.2026, 07:18:22

  The video introduces Google’s new Gemma 4 12B model, designed as a powerful, multimodal model for local deployment on consumer hardware. It fills a gap in the Gemma family between small edge models and larger workstation models. The model is encoder-free, meaning it processes text, images, and audio directly without separate encoders. This reduces memory requirements and latency while still offering competitive performance. On a 24 GB GPU, the model runs approximately 75% faster than the larger 26B MoE model and supports a context window of up to 250K tokens. Despite some limitations compared to larger models like Qwen 3.6 35B A3B, Gemma 4 12B offers an excellent balance between performance and practicality for consumer hardware.

  The video also shows how the model is applied in various applications such as creating frontend designs, Minecraft and operating system clones, as well as SVG and 3JS generation. It emphasizes that the model is surprisingly good at code generation and logical reasoning, though it is not the best model for these tasks. The video recommends the model for users with approximately 12 GB VRAM seeking a modern local AI for coding, vision, audio, and 3JS generation.

  **Closing Comment:** The video explicitly covers Google’s Gemma 4 12B model and is aimed more at intermediate to advanced users.

• Claude Oceanus, Anthropic AGI Claims, GPT-5.6 Checkpoint, GLM 5.2, Nemotron 3 Ultra & More! AI NEWS!
  5.6.2026, 07:27:15

  The video provides a comprehensive overview of the latest developments in AI technology. It begins with leaks of Anthropic’s new Mythos model, demonstrating impressive outputs and potentially revolutionary capabilities. Anthropic is already working on a successor called Oceanus that could be even more powerful. Meanwhile, OpenAI has introduced a new GPT-5.6 checkpoint called Jewel Alpha, delivering impressive results in SVG generation and frontend development. Google has released Dream Beans, a personalized storytelling tool, as well as Gemma 412B, a powerful multimodal AI model. Nvidia has unveiled Nemotron Ultra, a model for long-running AI agents that offers up to five times faster inference and 30% lower costs. Additionally, a new benchmark tool called Agent Arena was introduced to measure AI model performance in real-world tasks. The video also addresses challenges in verifying AI-generated code and introduces Test Sprite as a solution. It also discusses the potential recursivity of AI development, where AI systems are increasingly capable of developing their own successors.

  The video explicitly covers Anthropic, OpenAI, Google, Nvidia, and specific tools like Test Sprite, Dream Beans, Nemotron Ultra, and Agent Arena. It is aimed more at intermediate and advanced users as it provides in-depth technical details and analysis.

• Hermes Agent Official NEW Desktop App – The 24/7 Self-Evolving AI Agent!
  4.6.2026, 04:54:16

  The video introduces the official desktop version of Hermes Agent, recently released by the News Research Team. This native application brings the full functionality of Hermes Agent to your own computer, including configurations, API keys, sessions, skills, memory systems, and autonomous workflows. The desktop version is available for Windows, MacOS, and Linux and enables seamless integration with existing Hermes configurations. Additionally, Hermes’ web dashboard has been redesigned and now offers a complete management interface for browser management.

  The video demonstrates the installation and setup of the desktop app, including configuration of models and skills. It shows how Hermes Agent can be used for tasks such as creating a frontend app or summarizing Reddit discussions. The application also enables scheduling of cron jobs and conducting multiple sessions simultaneously.

  Zapier is mentioned as a sponsor, with a focus on their new MCP Plus SDK infrastructure that enables AI models to interact with various applications and create complex workflows.

  The video is more suitable for intermediate and advanced users, as it assumes viewers are familiar with AI agents and their configuration. It covers specific tools like Hermes Agent and Zapier.

• GPT-5.6 Leaked, Mythos Benchmark Leaks, Hermes Desktop App, Qwen 3.7 Plus, & More! AI NEWS
  3.6.2026, 07:08:40

  The video provides an overview of the latest developments in the AI industry. Main topics include the upcoming release of OpenAI’s GPT 5.6, which could compete with Mythos Preview 1, as well as a massive update to Codeex that extends it beyond pure coding. World of AI has launched a new Vibe Coding platform and benchmark to compare models across various use cases. Microsoft has introduced seven new AI models, including MAI Thinking One, which performs well in the reasoning category. Hermes Agent has released an official desktop app, and Alibaba has introduced Qwen 3.7 Plus, a multimodal model with strong coding capabilities. Anthropic has released updates for Cloud Code and a new CLI for the Claude platform. Google may be planning an update for Notebook LM based on the Gemini Omni model. Additionally, Microsoft has introduced new hardware for interacting with AI agents, and hyperrealistic humanoid robots were presented at the World Intelligence Expo in China.

  Closing Comment: The video explicitly covers OpenAI (GPT 5.6, Codeex), Microsoft (MAI Thinking One, MAI Code One Flash), Hermes Agent, Alibaba (Qwen 3.7 Plus), Anthropic (Cloud Code, CLI), Google (Notebook LM, Gemini Omni), and is aimed more at intermediate and advanced users.

• Claude Fable 5 IS INCREDIBLE! Greatest AI Model Ever! (Fully Tested)
  10.6.2026, 00:10:54

  **Summary:**

  The video introduces the latest version of Anthropic’s AI model, Claude Fable 5, which has been released as safe for general use. Fable 5 is based on the powerful Mythos model and offers significant improvements in areas such as software engineering, knowledge work, and browser usage. The model features a large context window of 1 million tokens and is designed for complex, long-term tasks. It demonstrates outstanding performance across various benchmarks, significantly outperforming other models like GPT-5.5 and Opus 4.8, and setting new standards in areas such as coding and vision.

  The creator demonstrates Fable 5’s capabilities through various examples, including creating a Minecraft clone, a Mac OS and Windows OS clone, as well as the ability to master Pokémon Fire Red through visual inputs alone. Additionally, excellent performance in frontend development, 3D world building, and other complex tasks is highlighted. The video concludes with a positive assessment of the model and an apology to Anthropic for earlier criticism, as Fable 5 significantly exceeds expectations.

  **Closing Comment:**
  The video explicitly covers the AI model Claude Fable 5 from Anthropic and is aimed more at intermediate to advanced users.

AI and Strategy | The SamourAI

No new videos in this period.

Matt Pocock (1 new video)

• Learn anything with the /teach skill
  8.6.2026, 17:07:15

  The video introduces a custom-built “Teach Skill” that enables users to independently learn various topics. The focus lies on distinguishing between stateful and stateless Skills, with “Teach” designed as stateful to track learning progress and offer personalized lessons. The user demonstrates the application using Rubik’s Cube solving as an example. The Skill creates a mission, gathers resources, generates interactive lessons in HTML format, provides quizzes, glossaries, and cheat sheets, and adapts to learning progress. It leverages the concept of “Zone of Proximal Development” to optimize content delivery. The Skill is installable via the Skills repo from mapper.kills and can be applied in various contexts, such as onboarding to codebases or learning new skills.

  The video explicitly addresses the use of Opus 4.8 and is geared toward intermediate to advanced users who engage with AI-Skills development and application.

Coding with Lewis (1 new video)

• The Creator of MySQL’s Wants to Replace It
  4.6.2026, 16:36:17

  The video tells the story of Michael Widenius, the creator of the popular database MySQL, which he named after his daughter My. After selling MySQL to Sun Microsystems and its subsequent acquisition by Oracle, Widenius feared that MySQL would be neglected or discontinued in favor of Oracle’s own database. He then forked MySQL into MariaDB, named after his other daughter Maria, to ensure independent development away from Oracle. Despite Oracle’s promise to keep MySQL alive, the community version lost features that were only available in the paid Enterprise version, and community participation declined. MariaDB, on the other hand, gained popularity, remained compatible with MySQL, and was adopted by major companies like Wikipedia and Google as well as many Linux distributions. However, in 2024 MariaDB was acquired by a private equity firm, raising similar concerns as Oracle’s acquisition had. A curious side note is that Widenius also named a database MaxDB after his son, suggesting he won’t name any further databases after his children since he only has three.

  The video covers the databases MySQL, MariaDB, and MaxDB and is geared toward intermediate viewers interested in the history and evolution of databases.

Julian Goldie SEO (10 new videos)

• NEW NotebookLM AI Agent!
  9.6.2026, 19:00:34

  The video presents the latest updates to Notebook LM, making it a much more powerful tool. Key new features include:

  1. **Improved AI**: Notebook LM now runs on Gemini 3.5 with a system called Antigravity, significantly enhancing document research and comprehension capabilities.
  2. **Own Cloud Computer**: Each notebook now has its own secure cloud computer that can write and execute code. This enables Notebook LM to analyze data, create charts, generate reports, and perform mathematical calculations.
  3. **Automatic File Creation**: Notebook LM can now create various file types, including PDFs, Word documents, Markdown, images, spreadsheets (CSV, JSON, Excel), and PowerPoint presentations.
  4. **Automatic Source Research**: Users can now simply enter an idea, and Notebook LM automatically finds and integrates relevant sources.

  The video demonstrates practical examples of how Notebook LM can automate tasks like creating reports, presentations, and content plans. It emphasizes that these features significantly boost efficiency and save time.

  **Final Note**: The video specifically covers Google’s Notebook LM and is intended for intermediate to advanced users.

• NEW NotebookLM AI Agent Update is INSANE!
  9.6.2026, 18:17:06

  ### Video Summary

  The video presents a comprehensive demonstration of new agentic coding updates for Notebook LM, an improvement announced by Google and Notebookm. The updates bring enhanced agentic capabilities to chat, improved research and output features, and new output formats. Key features include:

  1. **Research Functions**: Users can choose between “Fast Research” and “Deep Research”. Notebook LM can now independently find relevant sources and summarize and validate them in a notebook.
  2. **Integration with Agent Operating System (MCP)**: Notebook LM has been integrated into an Agent Operating System that enables notebook research and editing directly in chat. This allows seamless collaboration with other AI agents like Hermes and Openclaw.
  3. **Diverse Output Formats**: Users can choose from a variety of output formats, including videos, podcasts, infographics, mind maps, presentations, and PDF reports.
  4. **Visualization and Organization**: Research data can be presented in appealing visual formats and organized in a central location, making utilization and further processing easier.
  5. **Use Cases**: The video shows various applications, including creating research reports, automating SEO content, and building websites.

  ### Final Note

  The video specifically covers Notebook LM, Google AI Ultra, Hermes, Openclaw, and Claude. It’s intended for intermediate to advanced users who already have experience with AI tools and want to integrate them into more complex workflows.

• I Built An Autonomous AI Company With Claude
  9.6.2026, 17:00:38

  The video shows two methods for orchestrating AI agent teams with Claude. The first method involves using a group chat where different AI agents like Claude and Hermes collaborate to generate and discuss ideas. These ideas are automatically transferred to an idea list where they can be approved by a human user and then implemented by the agents. The agents can access user context and make customized suggestions. The second method uses a tool called Paperclipip, an open-source project for organizing AI agent teams. Here users can create teams of agents, define their tasks and goals, and track progress. The video demonstrates how these systems can be used to create fully automated processes from ideation to implementation.

  The video specifically covers Claude, Hermes, Gemini, Codex, and the open-source tool Paperclipip and is intended for intermediate to advanced users.

• This Claude + Hermes Setup is INSANE!
  9.6.2026, 15:00:38

  The video introduces the “AI Agent Mastermind” system that brings multiple AI agents (Claude, Hermes, Gemini, OpenClaw, Anti-gravity) into a group chat to collaboratively develop ideas, critique them, and automatically implement them. The agents access an Obsidian Vault containing personal memories and notes to provide customized answers and solutions. The process includes keyword research creation, content outlining, and even implementing entire websites, with agents delegating tasks and managing projects. The system aims to boost efficiency and productivity through collaboration among multiple AI models rather than relying on a single model. A community platform (“AI Profit Boardroom”) is also mentioned, providing access to the system, tutorials, and coaching offerings.

  The video specifically covers Claude, Hermes, Gemini, OpenClaw, Anti-gravity, and local models (open-source) and is intended for intermediate to advanced users.

• How to Rank #1 with Claude Fable 5 AI SEO!
  10.6.2026, 05:00:01

  The video shows how to use Claude Fable 5, a new model from Anthropic, for AI-SEO to rank in Google and AI search engines. The creator demonstrates an SEO pipeline tool powered by Claude Fable 5 to find keywords, create content, and publish it on various websites. The tool leverages Claude Fable 5’s capabilities, such as a large context window and the ability to work autonomously over extended periods, to develop comprehensive SEO strategies. It shows how to find keywords, generate content, and deploy it on websites to achieve quick rankings. The integration with Indexal, an indexing tool, is also mentioned to accelerate content visibility. The video is aimed at intermediate to advanced users who already have SEO experience and want to enhance it with AI tools.

  **AI Tools/Models/Providers:** Claude Fable 5, Indexal, Agent Operating System, Obsidian

• Claude Code is now FREE: Here’s how…
  10.6.2026, 03:00:37

  The video presents Claude Code, a tool that enables creating apps, games, websites, and even AI-generated videos. Normally Claude Code requires paid tokens, but there’s a free open-source setup that connects it with free APIs. With Claude Code, you can create a snake game, for example, and watch the entire coding process live. For video creation, you can integrate tools like Remotion, allowing the agent to transform projects into animated videos. Developing a complete app is also possible by simply entering a sentence. Claude Code provides access to numerous free models on OpenRouter without token charges or limits.

  The video specifically covers Claude Code, OpenRouter, and Remotion and is intended for intermediate to advanced users.

• NEW Claude 5 + Agentic Operating System!
  10.6.2026, 03:00:34

  The video shows how to integrate Claude Fable 5 into an agentic operating system to leverage its full power. The creator demonstrates how he’s integrated Fable 5 into various workspaces like Mission Control, agent chat, and SEO pipelines to create an efficient and adaptable system. He emphasizes the benefits of such a system, particularly rapid adaptation to new models and avoiding outdated workflows. The video also shows how to integrate Fable 5 into existing tools like Hermes, OpenClaw, and others to boost performance and efficiency. The creator recommends using Fable 5 as soon as possible since it’s only available free for two weeks.

  The video specifically covers Claude Fable 5 and is intended for intermediate to advanced users.

• Claude Fable 5 + Mythos is INSANE!
  10.6.2026, 00:44:39

  The video introduces Anthropic’s new models Claude Fable 5 and Mythos 5, considered the company’s most powerful models. Claude Fable 5 is a publicly available version of the Mythos-class model, previously available only to select partners through Project Glasswing. The video shows differences between the models, their benchmark results, and practical applications such as automating research tasks and migrating large codebases. It emphasizes that Fable 5 is particularly suited for complex and long-term tasks and offers a one-million-token context window plus large output size per request. The video also discusses Anthropic’s security philosophy, which, despite warnings about risks of advanced AI models, advances the release of these powerful models. The video concludes with a recommendation to integrate Fable 5 into an agentic operating system to realize its full potential, and promotes access to community and resources to help effectively use this technology.

  The video specifically covers Claude Fable 5 and Mythos 5 models from Anthropic and is intended for intermediate to advanced users.

• Claude Fable 5 + Mythos 5 Just Dropped…
  9.6.2026, 22:52:33

  Please share the YouTube video link or provide the title so I can create a summary.

• Hermes Jarvis is mind blowing…
  9.6.2026, 21:00:20

  The video demonstrates the development and use of a powerful AI agent called Hermes Jarvis, composed of various open-source projects and AI models. The agent can perform tasks like creating websites, games, videos, and other tools without requiring the user to program. The user showcases various features, including creating a habit tracker, a Japanese flashcard game, a meditation timer, and integration with 11 Labs for voice output. The agent can also open websites, switch between different voices and modes, and communicate with other AI models like Claude and Gemini. Additionally, the agent is connected to an Obsidian database serving as “Memory Galaxy” that stores all conversations and created projects. The user also mentions the ability to use the agent with local models like Qwen 2.5 Coder and Ollama. The video ends with an invitation to join the AI Profit Boardroom community for access to tutorials, coaching calls, and support.

  The video specifically covers Hermes Agent, Claude, Gemini, 11 Labs, Qwen 2.5 Coder, and Ollama and is suitable for intermediate to advanced users.

Kyle Balmer | AI with Kyle (10 new videos)

• Learning to use AI is primarily about communication – we still need to be able to explain what we
  8.6.2026, 20:43:33

  The video discusses the challenges and opportunities associated with implementing AI in businesses, particularly for non-technical individuals. The main focus is on the importance of communication, as many people struggle to articulate their ideas clearly and precisely – a skill that is crucial for effectively using AI. The speaker emphasizes that people who master these communication skills are better equipped to successfully deploy AI tools. Interestingly, these skills – such as analysis, information synthesis, public speaking, and writing instructions – are exactly those that might decline due to AI. However, this also opens opportunities for entrepreneurs, since the demand for people with these skills remains high while supply may decrease.

  The speaker does not mention specific AI tools or models, but instead focuses on general principles and skills important for using AI. The video is aimed more at intermediate and advanced users, as it concentrates on the strategic and communicative aspects of AI usage.

• AI SEO: How to Show Up in ChatGPT & AI Overviews
  8.6.2026, 05:00:18

  The video addresses how to gain visibility in the age of artificial intelligence, particularly in chatbots and AI Overviews. It emphasizes that traditional search engine optimization (SEO) must increasingly be complemented by AI-optimized strategies, as AI systems like ChatGPT and Google’s AI Overviews play a growing role in information discovery.

  Key points include:
  – **Content and formats**: AI systems prefer structured content, particularly “Best X” lists (e.g., “The best 10 surfboards”). These account for 43.8% of pages cited by ChatGPT.
  – **Website and blog**: Your own website remains important, especially with well-structured blog articles in list format.
  – **External sources**: 67% of ChatGPT’s top citations come from sources marketers cannot directly influence, like Wikipedia. Nevertheless, controllable content such as blog posts and case studies are also crucial.
  – **YouTube**: YouTube mentions have the highest correlation with AI visibility. Both your own videos and guest appearances on other channels are valuable.
  – **AI Overviews**: These significantly reduce clicks on organic search results, which could pose a long-term problem for websites reliant on traffic.
  – **Technical SEO**: Schema markup and similar techniques have little impact on AI citations. What matters more is creating valuable and helpful content.

  The video concludes with practical tips such as optimizing your homepage, creating guides and case studies, leveraging customer reviews, and increasing YouTube presence.

  The video explicitly addresses ChatGPT, Claude, Gemini, and YouTube and is aimed at intermediate users.

• The hard part of starting a business was never the product
  7.6.2026, 18:45:17

  The video discusses the shift in entrepreneurship, particularly through the removal of technical barriers. Previously, many ideas failed because entrepreneurs couldn’t find a CTO, secure funding, or lacked programming skills, creating a culture of “wantrepreneurs” – people with ideas they never executed. With tools that enable rapid code generation (“vibe code”), ideas can now be implemented within a day. This means many discover their ideas aren’t viable or lack demand. Responsibility now lies with individuals, as there are no more excuses. The focus shifts from the idea itself to actual execution and quality.

  The video addresses generic AI code tools and is aimed more at intermediate and advanced users.

• Ethan Mollick’s new book cover has been revealed
  7.6.2026, 12:42:25

  The video discusses the deliberate use of six fingers in a book cover graphic for “Coexistence” created by Ethan Mollick. The narrator emphasizes this is a humorous reference to the difficulties AI models face in generating realistic hands. Interestingly, the template for this depiction is drawn from the Sistine Chapel, with the hand in the graphic inspired by the hand of God. This is interpreted as a symbolic representation where AI takes on the role of God. The narrator highlights the intention and irony of this depiction without making a direct judgment.

  The video addresses AI-generated art and is aimed more at intermediate or advanced users.

• can Codex replace openclaw? yeah pretty much
  5.6.2026, 18:44:25

  The video shows how the user utilizes the AI app “Code it” as a replacement for “Open Claw”. He describes setting up a Mac mini as a central server where he runs main threads and cron jobs while controlling them from his laptop and phone. A special thread called “Daily Pulse” checks tasks hourly, conducts research, and sends reports. He also explains how to integrate images and videos into workflows to, for example, transcribe audio and generate Instagram covers. The user emphasizes that “Code it” increases his productivity because he spends less time on setup and more on actual work.

  The video explicitly addresses the AI app “Code it” and is aimed more at intermediate users.

• Learn how to teach AI to businesses and earn $1000/hour
  5.6.2026, 11:45:07

  Without the specific video link, I cannot provide a summary. Please share the link or additional details about the video so I can provide you with a precise and substantive summary.

• i rarely give AI book recommendations
  5.6.2026, 11:42:05

  The video argues that writing and publishing books about AI is pointless due to rapid developments in the field. Books cannot keep pace with AI development, as the process from creation to publication is too slow. However, one exception is Ethan Mollick’s book “Co-Intelligence,” which is described as a masterpiece and conveys an intuitive understanding of the technology. The speaker announces that Mollick will publish a new book on October 20th, which he has already pre-ordered. Once he receives a copy, he plans to create a video review or even a mini book club for it, as Mollick’s books are considered the best in this field.

  Ethan Mollick and his new book; aimed more at intermediate and advanced users.

• How To Get Paid For AI
  5.6.2026, 05:00:01

  The video discusses the importance of public speaking (or “yapping,” as Gen Z calls it) in an era where artificial intelligence increasingly takes over tasks like writing and design. The speaker argues that AI pushes people into specific areas where they excel, such as authentic speaking and community building. He emphasizes that polished, professional-looking content is often perceived as AI-generated and therefore generates less engagement. Instead, people should create raw, authentic content to build trust and authority.

  The speaker suggests a step-by-step approach to developing public speaking skills: starting with short videos on platforms like TikTok and Instagram, then live streams, followed by structured talks like webinars, and finally stage appearances. He warns against using AI tools like avatars or voice clones to completely replace yourself, as this undermines authenticity and the market is flooded with such content.

  The speaker also shares his personal strategy for building a business through content creation and public speaking by first offering free workshops and then conducting paid workshops for businesses. He emphasizes the importance of focusing on a specific niche and continuously practicing to improve.

  At the end, he encourages viewers to simply start with their smartphone and regularly shoot videos to develop the habit of public speaking. He refers to his webinars and newsletter for further information and resources.

  The video does not address specific AI tools or models and is more suitable for intermediate and advanced users.

• One of my favourite reminders to ignore online negativity is the original ChatGPT launch tweet
  4.6.2026, 14:41:49

  The video emphasizes the importance of not being discouraged by negative voices online when working on a project. It features a tweet from Sam Altman from the time of ChatGPT’s launch, in which he encourages users to try out the tool. The core message is that you should focus on your own work and distinguish constructive criticism from destructive criticism.

  The video explicitly mentions ChatGPT and is aimed more at intermediate and advanced users, as it concerns reflection on the development and acceptance of AI tools.

• do hard stuff
  4.6.2026, 09:43:54

  The video argues that using AI for writing and posting on social media as well as for comments is a poor approach, even though the speaker is generally pro-AI. The main reason is the direction AI usage is heading: as it becomes easier, better, and faster to use AI for writing, AI-generated content will flood all platforms. LinkedIn is cited as an example, already heavily saturated with AI content. The speaker therefore advises going in the opposite direction and doing what is hard, such as writing without AI, creating video content, public speaking, and face-to-face interactions. These activities are rewarded because many avoid them and AI cannot replace them. When something becomes too easy and accessible to everyone, supply becomes commoditized and there is no additional profit.

  The speaker addresses AI tools in general without mentioning specific vendors or models; the video is aimed at intermediate and advanced users.

David Shapiro (3 new videos)

• Nobody gets this right
  7.6.2026, 11:44:08

  The video discusses the concept of “World Models” and contrasts it with “Language Models.” The speaker argues that the difference between these models is more gradual than fundamental. He emphasizes that language models are not based solely on text, but are increasingly trained on multimodal data such as audio, video, and images. This development leads to “Omni-Models” that are capable of processing both abstract and sensory data.

  The speaker addresses various online discussions and refutes some common claims that limit the capabilities of language models. He argues that these models are able to predict not just the next word, but also complex physical and sensory data. He points to advances in robotics and other fields that demonstrate these models are already capable of operating in the physical world today.

  Additionally, the speaker criticizes the notion that World Models must be based exclusively on sensory data. He emphasizes that cognitive architectures have existed since the 1970s and that these models are capable of integrating various data streams. He concludes with the statement that the future of AI lies in integrating these different approaches.

  At the end of the video, the speaker mentions his current projects, including a book about the future of work and the psychology of life after work. He encourages viewers to subscribe to his Patreon and Substack pages to stay up to date.

  Final comment: The video addresses OpenAI and Nvidia and is geared more toward intermediate and advanced viewers.

• Bernie’s plan sucks, actually
  5.6.2026, 11:56:20

  The video discusses Bernie Sanders’ proposal to create a government fund for artificial intelligence that would acquire 50% of shares in leading AI companies such as OpenAI, Anthropic, and XAI. The speaker analyzes the pros and cons of this plan and contrasts it with an alternative, more realistic model.

  Sanders’ argument is based on the idea that AI companies benefit from publicly funded research and collective knowledge without adequate compensation. He proposes creating a government fund that would control these companies and distribute profits to the population. The speaker’s main criticisms are:

  1. **Expropriation and Constitution**: The planned seizure of 50% of corporate shares is constitutionally problematic and could prompt companies to relocate abroad.
  2. **Governance and Control**: The proposed active control by the state is risky and could lead to political influence.
  3. **Objectives and Implementation**: Focusing on a few large companies is not effective. Instead, a broader spectrum of tech companies and infrastructure should be considered.

  As an alternative, the speaker proposes a passive governance model in which the state acquires up to 10% of shares in various companies without exercising active control. Revenue should be paid directly to citizens or invested in public infrastructure.

  The video explicitly addresses OpenAI, Anthropic, XAI, Microsoft, Google, Amazon, Nvidia, Coreweave, TSMC, and ASML. It is geared more toward intermediate and advanced viewers, as it contains detailed economic and political analysis.

• Microsoft and Uber slam on the brakes of AI
  3.6.2026, 11:49:02

  The video discusses the current debate about a possible “AI bubble” and analyzes two relevant news items: Microsoft’s internal cancellation of cloud services and Uber’s excessive AI budget. The speaker argues that while these incidents point to high costs, they don’t necessarily signal the end of AI development. He compares the situation to SpaceX’s valuation, which appears inflated due to its AI involvement, but nonetheless doesn’t mean the end of the technology. Despite some delays in data centers, he sees no signs of a halt to AI development as long as investors and companies continue to invest in AI. Additionally, the speaker reports on the demonetization of his YouTube channel due to YouTube’s strict policies and shares his plans for a book and new online courses.

  The video addresses no specific AI tools or models and is geared more toward intermediate or advanced viewers.

AI News & Strategy Daily | Nate B Jones (10 new videos)

• Siri isn’t the real headline at WWDC #apple #ai #wwdc (Full Video Thursday)
  9.6.2026, 19:00:24

  The video covers WWDC (Apple Worldwide Developers Conference) on June 8 and argues that discussions about Siri improvements and Apple’s position in the AI software race distract from the real important announcements. The focus is on why Jensen Huang from Nvidia should pay particular attention to WWDC, despite it being a software conference. The author suspects that Apple’s announcements are closely linked to Nvidia’s strategy, particularly the announcement of a laptop chip. The video promises to analyze all major WWDC announcements and shed light on their significance for Apple’s overall strategy as well as the question of who will be the first trillionaire in AI history.

  Final comment: The video focuses on Apple and Nvidia and is geared toward intermediate and advanced viewers.

• Fix your operating model or lose at AI #ai #strategy
  9.6.2026, 03:00:35

  The video discusses the challenges and responsibilities of leaders in deploying agents in enterprises. It emphasizes that responsibility for slow progress in agent implementation does not lie with employees, but with leaders. They must ensure clear communication of tasks and opportunities and create the necessary framework conditions to establish end-to-end agent pipelines. A piecemeal approach to problem-solving is criticized because it can lead to a series of downstream problems that feel like playing patch-the-problem. Instead, a holistic approach should be pursued that enables the system and people to learn and improve together.

  The video covers general principles of agent implementation and is geared toward intermediate or advanced viewers, as it assumes basic knowledge of agents and change management.

• Beyond The Hype: Why Meta And Block Are Firing People
  8.6.2026, 14:00:32

  The video discusses the various reasons behind so-called “AI layoffs” and cautions against treating all dismissals as part of a single phenomenon. Instead, it distinguishes five categories of layoffs:

  1. **Hyperscaler Layoffs (e.g., Meta)**: Large tech companies like Meta lay off employees to justify their massive investments in GPUs and data centers. At the same time, they try to defend their AI strategy and secure market share. For job seekers, such companies are risky as layoffs can be frequent and unpredictable.

  2. **Visionary Leader Layoffs (e.g., Block/Jack Dorsey)**: Companies with visionary leaders like Jack Dorsey lay off employees to fundamentally rethink their AI strategy. What matters is whether these leaders take the human and organizational implications of AI transformation seriously. Job seekers should check if the company’s vision is clear and whether they’re ready to deal with this uncertainty.

  3. **Usage-Based Layoffs (e.g., Cloudflare)**: Some companies justify layoffs with increased AI usage, yet without presenting clear outcomes. Such layoffs often signal strategic uncertainty. For job seekers, these companies are a warning sign.

  4. **Hope-Based Layoffs (e.g., Cisco)**: Companies that don’t yet have a clear AI strategy use layoffs to signal transformation. These layoffs often indicate disorientation and should be viewed with caution by job seekers.

  5. **Non-AI Layoffs**: Many layoffs have nothing to do with AI but are due to general economic problems or overstaffing.

  The video advises leaders to understand the various reasons for AI layoffs in order to make strategic decisions. Job seekers should closely examine the backgrounds of layoffs at potential employers.

  The video explicitly covers Meta, Block/Jack Dorsey, Cloudflare, Cisco, and OpenAI. It is aimed at intermediate and advanced viewers, particularly leaders and job seekers in the tech space.

• Fix your AI pipeline or lose your budget #ai #strategy
  8.6.2026, 03:30:37

  The video describes a detailed process for how AI agents can be deployed in enterprises to boost productivity. The workflow comprises several steps: First, agents gather context and read relevant sources to classify the work. Next, they use specific tools to create drafts or make changes. Then they conduct checks, add supporting evidence, and forward results to appropriate human decision-makers if needed. They log actions taken and update their approach for future runs based on learnings. This comprehensive pipeline process demonstrates that AI agents don’t just handle simple tasks but must work within a complex, iterative system to truly deliver value.

  The video covers AI agents and their deployment in enterprises without naming specific tools or models, and is aimed at intermediate and advanced users.

• How to actually scale AI beyond individual tasks #ai #productivity
  8.6.2026, 00:00:27

  The video discusses the challenges of integrating AI into business processes and emphasizes the importance of identifying bottlenecks. The speaker argues that enterprises consist of a chain of handoffs, where each phase—from product discovery through support and measurement—interconnects. When AI accelerates only one of these phases without adjusting the others, the bottleneck simply shifts to the next phase. For example, faster code production through AI without adjustments to the code review process means the bottleneck shifts to review. Similar shifts can occur in QA, product prioritization, launch measurement, and support. The core point is that holistic optimization of all process steps is necessary to increase the efficiency of the entire enterprise.

  The video covers general AI integration in business processes and is aimed at intermediate to advanced audiences.

• Fix your AI pipeline: Rethink ownership #ai #tech
  7.6.2026, 20:00:04

  The video describes an end-to-end development process covering the entire path from customer feedback to product delivery. The process comprises several steps: Customer feedback is converted into product decisions, those decisions are translated into plans, the plans lead to code changes, code changes are tested, launch risk is reviewed, and finally the feature is released and rollout is measured. The results of the rollout then influence the next decisions, closing the learning loop. The video emphasizes that individual steps should not be optimized in isolation but must be viewed as a connected process to ensure effective product development.

  The video covers general principles of product development and is suitable for intermediate and advanced viewers.

• Uber’s massive AI mistake revealed #tech #shorts
  7.6.2026, 16:00:34

  The video discusses reports about Uber’s investments in AI tools and the resulting challenges. Uber has invested heavily in AI coding tools, leading to increased token usage and AI-driven code commits. Nevertheless, the company found no clear connection between this AI usage and an increase in customer-value features. This development is interpreted by many as a sign of an AI bubble and the inefficiency of AI agents. However, the speaker argues that the real message of the Uber story is not AI agent inefficiency but the limited availability of compute and tokens, which represents the actual bottleneck.

  The speaker emphasizes that Uber is already performing real agentic work and the main problems are high demand and limited availability of compute resources, not the inefficiency of the AI tools themselves. The video covers AI agents and the challenges of their implementation in general terms without naming specific tools or models, and is aimed at an advanced audience engaged with the economic and technical aspects of AI.

• Where AI hits a wall #ai #tech #learning
  7.6.2026, 01:00:29

  The video discusses the role of human expertise in collaboration with AI. The focus is on how specialists can identify gaps that AI alone cannot recognize. One example is a strategy partner who receives an AI-generated competitive analysis and discovers that proprietary insights into customer switching costs are missing. Another example is a loan officer who rejects an AI-generated loan agreement protocol because he explains that different financial metrics have different monitoring triggers. These examples show how specialists can improve AI outputs through specific business logic and implicit rules that are not explicitly stated in requirements.

  The video covers generic AI models and is geared toward intermediate and advanced viewers.

• The hidden value in your AI’s worst outputs #ai #tech #work
  6.6.2026, 20:00:19

  The video addresses a central structural problem in the AI tool ecosystem: the lack of infrastructure for scaling feedback. The speaker emphasizes that almost no one talks about how to effectively collect and manage feedback, even though this represents a critical gap. Organizations using AI constantly generate rejections or notes at the individual level, yet these often go unused. The solution does not lie in separate tools like spreadsheets, databases, or dashboards, as users don’t want to switch between different applications. Instead, capturing feedback should occur directly within the work process—within the ongoing conversation—as a byproduct of rejections already being made.

  The video covers general AI infrastructure questions and is geared toward intermediate or advanced users.

• The most expensive AI mistake you are making #ai #learning #shorts
  6.6.2026, 15:00:16

  The video discusses the significance of rejections and errors in work processes, particularly in the context of artificial intelligence. The speaker emphasizes that these moments are not worthless but represent valuable knowledge-creation events. He criticizes how these insights are often not captured and get lost in emails, chats, or Slack messages. Instead, they should be systematically collected and integrated into AI workflows to benefit from them long-term. The insights gained at the moment of rejection—such as constraints, rules, or coded preferences—can multiply when captured and leveraged.

  The video covers general concepts of knowledge processing and AI workflows without naming specific tools or models, and is aimed at an intermediate audience.

Alejandro AO (2 new videos)

• PI Architecture EXPLAINED | Agent Loop, Tools, TUI and More
  5.6.2026, 14:25:55

  The video provides a detailed overview of Pi’s architecture, a minimalist AI agent. It starts by explaining the Agent Core, also known as the Agent Loop, which describes Pi’s fundamental functioning. This process includes context initialization, context transformation, and invocation of the Large Language Model (LLM), with tools like file operations or internet research available for use.

  Next, the structure of Pi’s sessions and storage system is explained. Sessions are stored in JSON-L files, which enable simple and efficient management of message history. Sessions are organized in a tree structure, making it easier to navigate and manage conversations.

  The video also covers Pi’s tools, which are limited to four tools by default but can be extended with additional functionality. Extensions allow you to add features like web search or custom commands.

  Another important aspect is the System Prompt, which establishes the foundation for the agent’s behavior. This can be customized through user-defined files or commands.

  Finally, the interaction between PyCore and Pi’s interactive user interface (TUI) is explained, including handling of Skills and custom prompts. The TUI is modularly designed and enables dynamic adaptation of the user interface.

  The video explicitly focuses on the AI agent Pi and is more suited for Intermediate and Advanced users interested in the technical implementation and architecture of AI agents.

• FULL Hermes Setup on $15/month in 10 minutes
  3.6.2026, 17:22:50

  The video shows how to set up Hermes Agent on your own VPS for less than $15 per month. Three main steps are explained: First, setting up a VPS with Hetzner for about $5 per month, with alternatives like OVH Cloud also mentioned. Second, setting up a Minimax subscription for $10 per month, which provides tokens for running Hermes Agent. Third, using an AI agent to configure the VPS without manual intervention, including installing dependencies and securing the system. The Minimax token plan is recommended as a cost-effective and efficient solution for running Hermes Agent, particularly for deploying 1-2 concurrent agents.

  The video explicitly covers Hetzner, OVH Cloud, Minimax, Hugging Face, and Pi (Advanced).

Sebastien Dubois (3 new videos)

• Obsidian Tips – Sidebars
  9.6.2026, 14:57:22

  The video shows a quick tip on using Obsidian, a tool for knowledge management and note-taking. It explains how to show and hide sidebars in Obsidian to optimize your workspace. By revealing the left and right sidebars, you can navigate between different notes or search for information in a vault while simultaneously editing a note in fullscreen mode. The tip is straightforward to implement and helps you focus on your desired tasks.

  Final comment: The video covers Obsidian and is more suited for beginners.

• Obsidian Tips Quick Opener
  10.6.2026, 06:38:59

  The video introduces the “Quick Opener” feature in Obsidian, which is accessed by pressing `Ctrl` or `Command O` on Mac. This feature allows you to quickly search for notes by typing the note name. Pressing Enter opens the desired note immediately. The video demonstrates this with examples such as searching for a note called “Garmin AI skill” and a Kanban board note. The feature is described as efficient and useful for quick access to notes.

  The video covers Obsidian software and is designed more for intermediate users.

• Obsidian Tips Attach notes to sidebars
  10.6.2026, 05:45:26

  The video shows a quick tip for using Obsidian, a tool for knowledge management and note-taking. It explains how to pin notes and panels to the sidebars. To do this, drag a note with your mouse to the top or bottom sidebar and drop it there. The note will then remain pinned. You can additionally pin the note with a right-click so it stays permanently in place. This process also works on the left sidebar. This feature is useful for customizing your view in Obsidian individually.

  The video covers Obsidian and is more suited for intermediate users.

Unsupervised Learning (2 new videos)

• A Conversation With Cliff Crosland
  9.6.2026, 16:00:04

  The video is an interview with Cliff from Scanner, a company that has developed an unconventional and radically different data solution for large data volumes. Scanner aims to maximize the value of log data as data volume increases, rather than degrading tools. The company has developed a solution based on Object Storage like S3 to store and index data, which is cost-effective and scalable. Scanner uses a specialized indexing technique that overcomes Object Storage latency by employing batch-friendly data structures. Scanner’s search clusters are temporary and activated only when needed, reducing costs. Scanner supports various data formats such as JSON, CSV, Plain Text, and Parquet and requires no extensive data preparation. The solution is particularly suited for security data, detection and response, threat hunting, and insider threats. Scanner enables fast queries across large datasets and can be integrated with AI tools to create detailed analyses and reports. The company plans to be available on additional cloud platforms like GCP and Azure. Scanner will be presented at conferences such as Bides 312 and Black Hat. The video explicitly covers the Scanner tool and is geared toward intermediate to advanced users.

• AI Predicts The Text Of Answers
  4.6.2026, 18:32:26

  The video discusses the thesis that AI systems don’t understand the world, but merely predict the next token in text. The author argues that this view is superficial and that AI actually possesses a form of understanding, though not in a human way. He explains that AI doesn’t complete random text, but generates specific answers to posed questions. To demonstrate this, he created a website called “AI understands.ai” where AI is confronted with new, never-before-seen whodunit mysteries, including fictional physical laws. The author shows that AI can solve these puzzles by making logical inferences, suggesting that it possesses functional understanding of the world. However, it lacks human, experience-based understanding and emotions. The author proposes distinguishing between functional and experience-based understanding, with AI possessing the former but not the latter.

  The video covers generic AI models like ChatGPT and is geared toward intermediate to advanced users.

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