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Claude Opus 4.8 Revolutionizes AI-Coding: Dynamic Workflows and Ultra Code Mode in Focus

Sunday, May 31, 2026

Hello, this weekly newsletter guides you through the most important new videos from a curated selection of AI and coding YouTube channels. Each video comes with a compact summary, plus a daily overview of the dominant topics. If you’re interested, simply click the link below the summary.

AI mit Arnie (1 new video)

• Opus 4.8 is a Freak
  29.5.2026, 21:07:45

  The video presents the new features of Anthropic’s AI model Opus 4.8, which is available at the same price as the previous version. Key updates include Dynamic Workflows, a three times cheaper Fast Mode, and improved honesty of the model, which lies less and confirms users less often in false statements. Benchmarks show that Opus 4.8 outperforms GPT-5.5 in some areas, but at higher costs. The Ultra Code Mode and dynamic workflows enable complex tasks, but consume extremely many tokens. A practical example is the simulation of a six-legged robot created with a single prompt. The video warns about the high costs of these features and recommends adjusting the Thinking Effort according to your needs. Anthropic plans further models, including a more cost-effective and a more powerful one, as well as the possible release of Mythos. Prices for Opus 4.8 remain unchanged, with the Fast Mode now significantly cheaper. The video also discusses Anthropic’s possible profitability through deals with AWS and SpaceX, as well as Andrew Carbaggi’s efforts to improve the model.

  The video explicitly covers Anthropic’s Opus 4.8 and is aimed more at intermediate to advanced users.

Cole Medin (2 new videos)

• Claude Plans, Gemini Designs: One Workflow for Beautiful Frontends (LIVE)
  31.5.2026, 04:37:29

  The video titled “null” contains no recognizable content or clear structure that could be summarized. It appears to be an empty or unavailable video.

  The video does not address any specific AI tools or models and is not suitable for any particular target audience, as it lacks substantive content.

• Harness Engineering: What Separates Top Agentic Engineers Right Now
  28.5.2026, 00:00:02

  The video explains the concept of “Harness Engineering” and its significance in the field of AI, particularly for AI-coding assistants. Harness Engineering describes the process of designing an environment (wrapper) around an AI model to extend its capabilities and handle specific tasks more efficiently. The video distinguishes between two main aspects: optimization within a single AI session and orchestration of multiple AI sessions into a larger workflow.

  The first aspect, optimization within a session, builds on the concept of Context Engineering but goes further by introducing additional control mechanisms such as hooks and subagents. The second aspect, orchestration of multiple sessions, enables handling of more complex tasks by focusing each session on a specific subtask. This is demonstrated through tools like the “Ralph Loop,” which automatically coordinates multiple AI sessions.

  The video emphasizes the importance of accountability and continuous system improvement through learning from errors and adapting rules and processes. It also references Google Cloud Agent CLI as an example of a tool that facilitates building and deploying AI agents.

  **Final note:** The video covers Claude, OpenAI, Google Cloud Agent CLI, and is aimed more at intermediate and advanced users.

Nate Herk | AI Automation (5 new videos)

• Opus 4.8 Just Dropped. Here’s How To Actually Use It.
  28.5.2026, 18:52:03

  The video covers the release of Claude Opus 4.8, positioned as the successor to Opus 4.7. Opus 4.8 features improved reasoning, greater honesty, and the ability to work independently for longer periods. Rate limits in Cloud Code have been increased to compensate for higher token consumption from elevated effort levels. New features like dynamic workflows and the ability to manually adjust effort levels have been introduced. The creator emphasizes that while benchmarks are impressive, the actual model performance depends on the specific use case. Opus 4.8 aims to address Opus 4.7 issues such as lack of endurance, excessive safety restrictions, and high token costs. The creator shares initial impressions and tips for optimal model usage, including adjusting effort levels and clearly formulating tasks. Community reactions are mixed, with positive feedback on improvements but early reports of bugs.

  The video explicitly focuses on Claude Opus 4.8 and is aimed at intermediate to advanced users.

• 100 Hours Testing Claude Code vs ChatGPT Codex (honest results)
  26.5.2026, 20:02:02

  The video compares OpenAI Codex and Claude Code, two AI-powered coding agents, based on features, pricing, and three specific use cases. It begins with a brief introduction to both tools, highlighting that Claude Code from Anthropic offers more customization options, while Codex from OpenAI provides a more streamlined workflow. The comparison covers three tasks: creating a research report, a landing page, and an interactive dashboard. Claude Code excels at frontend work and complex planning, while Codex performs well on research-intensive tasks and quick execution. Cost and token usage are analyzed in detail, with Codex being more efficient in token consumption. The video concludes with a recommendation to choose the appropriate tool based on the specific use case, emphasizing the rapid development of both tools.

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

• The Playbook for a $100M AI Agency
  25.5.2026, 16:23:09

  **Video Summary:**

  This is an interview with Devin Karns, CEO and co-founder of Custom AI Studio, discussing the future of AI agencies and strategies for a successful exit. Here are the key takeaways:

  1. **Market Development and Value of Development**:
  – The value of development trends toward zero as AI systems become more powerful.
  – Companies must focus on AI-native organizations to remain competitive.

  2. **Future of AI Agencies**:
  – Many AI projects being sold today won’t survive until 2027.
  – Focus should be on delivering solutions that provide real value to businesses, rather than chasing short-term trends.

  3. **Strategies for a Successful Exit**:
  – Devin Karns shares his experiences and strategies for building an AI agency with high enterprise value.
  – He emphasizes the importance of relationships, trust, and understanding customers’ true needs.

  4. **Five Things Devin Karns Wish He’d Known Earlier**:
  – **Choose Your Path**: Decide whether you want to build a lifestyle business or a high-exit-value company.
  – **Package Your Offering**: Develop a clear offer that highlights the value of your services.
  – **Charge True Value**: Price your services based on the value you deliver, not the time you invest.
  – **Build Your Pipeline Before You Need It**: Establish relationships and a pipeline of potential clients before you urgently need them.
  – **Hire for the Company You Want to Be**: Recruit employees who share your vision and have the skills needed to scale your business.

  5. **Examples and Case Studies**:
  – Devin Karns shares examples of successful projects, such as reducing an e-commerce company’s return rate from 21% to 16%, resulting in significant cost savings.

  **Conclusion**:
  The video explicitly covers Claude, OpenAI, and open-source models, as well as specific tools like Cloud Code and Co-Pilot. It’s aimed at intermediate and advanced users who already have AI experience and want to scale or optimize their business models.

• Claude Code Dynamic Workflows Clearly Explained
  30.5.2026, 17:34:30

  The video covers new dynamic workflows in Claude Opus 4.8.8 and compares them with other features like Skills, Sub-Agents, Agent Teams, and /goal. The author explains that workflows are a type of “Cloud Code” that can launch many parallel agents, which then consolidate their results. An example was analyzing 41 skills that were compiled into an HTML file. The author warns about high costs, as a workflow can quickly consume many tokens. He recommends using workflows only for specific, parallel tasks and not for simple requests. He also mentions the new Ultra-Code feature, which uses workflows by default and can be very expensive. The author emphasizes that you should be aware of when to use which feature to save costs.

  The video explicitly focuses on Claude Opus 4.8.8 and is aimed at intermediate to advanced users.

• I Turned Claude Opus 4.8 Into My Entire AI Operating System
  29.5.2026, 14:36:34

  The video shows how the creator uses Claude Opus 4.8 as his personal AI operating system, functioning as his second brain and executive assistant. He explains his framework of the four C’s (Context, Connections, Capabilities, Cadence) for building such a system and discusses the importance of context and optimization. The creator shares his experience migrating from various tools to Claude Code and emphasizes the importance of organization and continuous improvement. He also provides a free GitHub repository as a starting point for building your own AI operating system. Additionally, he addresses the importance of security and the gradual implementation of automation, comparing it to learning to ride a bike.

  The video explicitly focuses on Claude Opus 4.8 and is aimed at intermediate to advanced users who already have experience with AI tools and want to further optimize their system.

Ben AI (1 new video)

• 12 Claude Plugins, Skills & MCP's I Can't Live Without
  26.5.2026, 09:00:44

  The video presents 12 tools and plugins for Cloud Code and Co-Work that extend Claude’s functionality. The key points are:

  1. **Google Workspace CLI**: Provides access to all Google products (Drive, Gmail, Calendar, Sheets, Docs, Chat) without the limitations of Google MCPs and is more token-efficient. Installation is somewhat involved, but simplified with a provided Skill.

  2. **Higsfield**: Enables Claude to access image and video models like Nano Banana and Cance. There’s both an MCP for Co-Work and a CLI for Cloud Code. Higsfield allows generating, editing, and animating images as well as creating videos and slideshows.

  3. **The Printing Press**: Offers a library of over 50 pre-built CLIs for software without public APIs and enables creating custom CLIs. This saves tokens and is more efficient than MCPs.

  4. **Impeccable**: A set of Skills for Cloud Code that improves HTML and website design. It enables easy layout customization, design refinement, and animation addition.

  5. **Versel**: Allows quickly deploying HTML content to a server and creating live URLs. Ideal for hosting and distributing websites, reports, and dashboards.

  6. **Caveman Plugin**: Compresses text by up to 75%, saving tokens. It can be applied to Claude’s responses, Skills, and frequently used context files.

  7. **Firecrawl**: An affordable and effective web scraping tool that can scrape 99% of websites, including those Claude can’t reach. Available as both an MCP and CLI.

  8. **Playright CLI**: A browser automation library that’s faster, more reliable, and more cost-effective than Cloud’s native browser function. Ideal for repeatable scraping or action workflows.

  9. **Cloth Video Plugin**: Enables video scraping by downloading videos and creating screenshots. It can generate transcripts and analyze videos.

  10. **VI Prospecting**: A sales and lead database tool optimized for AI agents like Claude. It enables filtering leads based on current intent signals such as hiring trends and recent funding rounds.

  11. **UniPal**: Enables connecting Claude with WhatsApp, Instagram, and LinkedIn. It can read and send messages, particularly useful for WhatsApp and LinkedIn outreach.

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

Brian Casel (2 new videos)

• Why 2026 Is the Year Everything Changed for AI Builders!
  30.5.2026, 14:00:10

  The video describes the evolution of AI usage in the speaker’s daily work from 2023 to 2026. In 2023, he worked entirely manually, while in 2024 AI served as an enhancement to accelerate existing processes through features like tab-completion and text support. By 2025, AI had become a true collaborator, with spec-driven development taking over and the speaker no longer writing a single line manually. In 2026, he orchestrates multiple AI agents simultaneously, with 90% of his time spent designing and refining specifications and only 10% verifying results. The ability to multitask with agents is described as a natural evolution, since creating specifications has become the core creative output.

  The video covers generic AI agents and ChatGPT but isn’t focused on specific tools or models, and is aimed at intermediate to advanced users.

• The AI Productivity Trap Nobody Talks About
  29.5.2026, 14:00:07

  The video discusses the evolving use of AI agents like Claude or ChatGPT, starting from basic chat window interactions to applying skills for automating repetitive tasks. The speaker critiques that even with skills, work remains heavily dependent on manual intervention and monitoring, leading to inefficient workflows. The breakthrough comes when the speaker begins treating AI agents as independent team members who take on tasks autonomously and only require human attention when needed. This shift enables more productive and efficient collaboration with AI.

  The video explicitly covers the AI models Claude and ChatGPT and is aimed at intermediate users who already have experience with basic AI interactions.

Melvynx (9 new videos)

• Kombai 2.0 adds design mode and changes code forever (better and than Claude Design)
  28.5.2026, 16:00:33

  The video introduces the tool **Comb**, specifically developed for creating frontend designs with AI assistance. The focus is on the new **Design Mode**, which enables the creation of creative and engaging user interfaces. The user demonstrates how to use Comb to create various design variations for an inspiration card and integrate them directly into an existing application. The process includes defining style guidelines, generating design variants, and implementing the chosen designs into the code. The tool also offers browser integration to review and adjust changes in real time. Finally, the video shows how to improve and implement a feedback dashboard interface. The video mentions that Comb can be used for free with up to 300 credits per month, with paid options available afterwards.

  **AI Tools/Models/Providers:** Comb (proprietary AI), VS Code (integration), Convex (backend database) – more for intermediate to advanced users.

• DeepSWE destroys Chinese models (and Claude… sorry fans)
  27.5.2026, 16:00:20

  The video discusses the new Deep SWE Benchmark, which evaluates the capabilities of AI models in software engineering. Unlike previous benchmarks like SWE Bench Pro, Deep SWE measures model performance on realistic tasks that include more complex and lengthy coding tasks. The results show that GPT-5.5 performs best with 70%, followed by GPT-5.4 with 56% and Claude Opus 4.7 with 54%. Models like Gemini 3.5 Flash and various Chinese models perform significantly worse. The benchmark also highlights model efficiency, with GPT-5.5 consuming fewer tokens and thus being more cost-effective. The analysis shows that GPT-5.5 delivers consistent and reliable results, while other models like Claude frequently forget requirements or cut corners. The benchmark is rated as realistic and useful by many experts, as it reflects the actual use of AI models in practice.

  **Closing comment:** The video explicitly addresses GPT-5.5, Claude Opus 4.7, Gemini 3.5 Flash, and various Chinese models. It is intended more for intermediate and advanced users.

• Pi AGENT: the ultimate replacement for Claude Code
  26.5.2026, 16:28:56

  The video shows an initial test of the tool **Pi**, an orchestrator or “harness” for AI agents that enables the creation and management of complex workflows and tool chains. The creator tests the installation and basic functions of Pi, including the integration of various AI models (e.g., OpenAI, Claude) and the use of plugins to extend the agent. Particular emphasis is placed on Pi’s flexibility to create and customize custom workflows and UI elements, as well as the ability to modify and extend the agent itself.

  The creator experiments with various plugins, such as a to-do list plugin and a subagent plugin, to automate and manage tasks. He also shows how Pi enables connecting the agent to various AI models and monitoring their costs. A critical note is made that using Pi can be associated with high costs, especially when using many agents and plugins simultaneously.

  At the end, the question is raised whether Pi’s flexibility and adaptability justify the effort and costs, and whether it might not be better to fall back on simpler, pre-built solutions.

  **Closing comment:** The video explicitly addresses the tool **Pi** and is intended more for **intermediate** or **advanced** users who are familiar with AI agents and orchestration.

• OpenClaw everywhere
  26.5.2026, 09:40:36

  The video discusses using AI chatbots like Claude and ChatGPT via the Telegram app. The author emphasizes Telegram’s reliability compared to the official apps of AI services, which he describes as unstable and unusable. He shows how he sends voice messages to the AI and has them converted to text, and explains how he can create memories with Claude to store the context of a conversation. He also reports his experiences with public transportation and taxi prices in his area, describing high costs and practical issues. He mentions that he wants to create a video tutorial on how to use the public transportation map in the future.

  The video explicitly addresses Claude, ChatGPT, and Gemini, and is intended more for intermediate users who are already familiar with AI chatbots.

• Antigravity 2.0: the WORST copy I've ever seen?
  25.5.2026, 16:00:06

  The video introduces Antigravity 2.0, a new Google tool heavily inspired by other AI-powered developer tools like Codex. The creator compares the user interface and features of Antigravity 2.0 with those of Codex and finds that many elements were directly copied, which he considers normal in the competitive AI industry. Despite these similarities, he tests the tool and shows its features, including Gemini model integration and the ability to create and manage projects. However, he criticizes the user experience, particularly the frequent permission requests and the unstable IDE, which he describes as poorly designed and error-prone. He also compares the performance of Gemini models with other providers and finds that they don’t reach the top in the coding domain. Overall, he considers Antigravity 2.0 a functional but not outstanding tool that Google could significantly improve with more effort and better design.

  The video explicitly addresses Google’s Antigravity 2.0, Codex, and Gemini models and is intended more for intermediate or advanced users.

• DEVS are in love with Claude (and stop wanting to try new things)
  24.5.2026, 16:00:34

  The author reflects on his personal development in using AI tools, particularly Claude and Codex (OpenAI). He admits that he was once “in love” with Claude and overestimated its capabilities, while criticizing OpenAI. Through experiences with high costs and limited capabilities with Claude, he recognized the advantages of Codex, particularly its superior user interface and efficiency. He emphasizes the importance of being pragmatic and flexible to switch between different tools as needed. The author has reorganized his configurations to more easily switch between tools like Claude, Codex, and Cursor. He recommends choosing the best tools based on their current capabilities and costs, and warns against becoming emotionally attached to a particular tool. He concludes by encouraging viewers to use his configurations and tools to become more flexible.

  The video explicitly addresses Claude (Anthropic) and Codex (OpenAI) and is intended more for intermediate or advanced users.

• What I've been preparing since Seoul…
  24.5.2026, 07:00:38

  The video shows the speaker’s enthusiasm for an upcoming trip to San Francisco, motivated by several goals. Primarily, he wants to immerse himself in the heart of the AI world, as he is passionate about companies like Claude, OpenAI, and Gemini and could talk about their developments daily. He sees San Francisco as the ideal place to benefit from the dynamic AI scene and network with like-minded people. Beyond the professional focus, he also pursues personal goals, such as meeting new people, experiencing American culture, and improving his English language skills. The speaker plans to document these experiences in vlogs to share them with his viewers.

  The video explicitly addresses Claude, OpenAI, and Gemini and is more suitable for intermediate and advanced users interested in the AI industry.

• This guy is cool
  30.5.2026, 16:26:03

  Without the concrete link to the video, I cannot provide a summary. Please share the link to the YouTube video so I can provide you with an accurate and detailed summary.

• Opus 4.8: best model in the world (or Codex…)
  29.5.2026, 06:07:18

  The video tests and compares the new Opus 4.8 model from Claude with GPT 5.5 on various tasks. Opus 4.8 was introduced as an improvement over Opus 4.7, with better judgment, honesty, and the ability to handle longer sessions. The test includes three main tasks: creating CLI documentation, implementing a notification feature for a thumbnail generation application, and updating a title in an application. Opus 4.8 shows better results in most tasks, particularly in code quality and functionality. GPT 5.5, however, has issues in some areas, such as the notification feature, with code quality concerns, although functionality is present. Opus 4.8 wins the comparison overall with a higher score. Additionally, new Claude Code features are introduced, such as Dynamic Workflows and an improved agent view, which enable the orchestration of subagents for complex tasks. However, the user expresses concerns about the practicality of these features.

  The video explicitly addresses the models Opus 4.8 and GPT 5.5 and is intended more for intermediate to advanced users.

Dave Ebbelaar (1 new video)

• If I Wanted to Build an AI SaaS in 2026, I’d Do This
  28.5.2026, 16:45:14

  The video describes a method for building a B2B AI SaaS company that focuses on acquiring paying customers before creating a formal product. The approach consists of three steps: “Done for Them,” “Done with Them,” and “Done by Them.” In the first step, you start as a freelancer or agency, developing a custom solution for a single client that solves a specific problem. The focus is on identifying “breakage”—problems that are painful, repetitive, costly, and unsolved for the business. The second step involves acquiring three to five similar clients and iteratively developing the solution with them, progressively involving customers in the process. In the third step, the solution is transformed into a self-service software product that enables self-signup and self-usage. The approach emphasizes finding and signing paying customers first before investing in product development, and highlights that the biggest mistake is spending months building a product without validating market needs beforehand.

  The video doesn’t discuss specific AI tools or models and is better suited for Intermediate and Advanced viewers who already have technical knowledge and want to launch a SaaS company.

Niklas Steenfatt (2 new videos)

• I gave ALL AI Agents the same task
  27.5.2026, 16:54:40

  The video shows a comparison of four AI agents (Cloud Code, Codex, Hermes, and Amadeus) solving various tasks. The tasks include summarizing tweets, recommending the best AI agent, creating graphics, programming a habit tracker and replicating a website, as well as making money. The agents were installed and tested on a Hostinger VPS using Paperclip software.

  The tasks revealed different strengths and weaknesses among the agents. Cloud Code and Amadeus performed particularly well on programming tasks, while Hermes and Codex sometimes delivered similar results, suggesting copying. On the task of making money, the agents proposed various methods, some unrealistic or uncreative.

  The video explicitly covers the AI agents Cloud Code, Codex, Hermes, and Amadeus, as well as Paperclip software and Hostinger VPS. It is better suited for intermediate and advanced users since it covers technical details and specific AI tools.

• How to find a girlfriend?
  24.5.2026, 20:09:03

  The video shows the YouTuber proposing to his girlfriend in the desert during South Africa’s Burning Man event. He shares his emotions and his girlfriend’s surprise as she accepts the proposal. The YouTuber reflects on the significance of choosing a partner from 8 billion people and the criteria involved. He emphasizes that physical and emotional chemistry matter more than shared interests, and that long-term relationships require work. He discusses the cool effect and the importance of open communication in relationships. The YouTuber recommends couples therapy and honest conversations to build a stable and happy partnership. He shares his personal journey and how he moved from initial doubts to a confident decision. At the end, he advertises the crypto broker Kraken and offers a bonus for new users.

  Final comment: The video doesn’t cover specific AI tools or models and is better suited for intermediate and advanced viewers since it shares in-depth personal reflections and life experiences.

Fireship (2 new videos)

• 10 weird OSS projects you need right now…
  26.5.2026, 17:53:11

  The “Code Report” video from May 26, 2026 showcases 10 unusual and creative software projects created by developers with a penchant for the unnecessary and absurd. These include:

  1. **Ratty**: A 3D terminal emulator based on the Bevy game engine that uses a rotating 3D cube as a cursor. While it consumes 300 MB of RAM, it offers unique features like tilting the terminal in 3D space.
  2. **Terminal Phone**: An open-source push-to-talk app that runs entirely as a Bash shell script without requiring servers or accounts. It uses union addresses for identities and is end-to-end encrypted.
  3. **They Live Ad Blocker**: An ad blocker inspired by John Carpenter’s 1988 film “They Live” that portrays ads as alien mind control, transforming web browsing into an 80s sci-fi horror experience.
  4. **CUDA Oxide**: An Nvidia project that enables writing GPU cores in Rust instead of C++, making CUDA code development safer and more accessible.
  5. **Wario Synth**: A tool that converts songs into Game Boy chiptunes by using the Web Audio API to synthesize pulse waves and noise.
  6. **Jmail**: A project that emulates Gmail as if you were Jeffrey Epstein, facilitating access to the Epstein files.
  7. **Epstein Exposed**: A search database for the Epstein files with a network graph showing connections of “Deep State” actors.
  8. **Exipedia**: A Wikipedia app that functions like TikTok, allowing endless scrolling through Wikipedia articles with data processed entirely in the browser.
  9. **Pewtor**: A project that emulates a complete desktop operating system in the browser, featuring applications like Notepad, a code editor, and Terminal.
  10. **Honker**: A SQLite extension that integrates Postgres-like features such as PubSub, task queues, and cron jobs directly into the database file.

  The video covers a wide range of open-source tools and projects from individual developers and large companies like Nvidia. It targets a technically savvy audience interested in innovative and unusual software solutions.

• The forgotten developer who saved JavaScript…
  29.5.2026, 17:06:48

  The video tells the story of JavaScript and how it evolved from a despised programming language into one of the most popular languages in the world. A key focus is Jeremy Ashkenas’s role, who shaped JavaScript development through three significant projects: Underscore.js, CoffeeScript, and Backbone.js. Underscore.js provided a standard library for JavaScript, CoffeeScript improved syntax, and Backbone.js enabled the structuring of JavaScript applications. These innovations helped modernize JavaScript and make it suitable for more complex applications. The video emphasizes that many of these improvements are taken for granted today, but were revolutionary at the time.

  Final note: The video focuses on JavaScript and specific tools like Underscore.js, CoffeeScript, and Backbone.js, and is intended for intermediate to advanced developers.

Julian Ivanov | AI Automation (2 new videos)

• Build & Deploy Apps with Claude Code — Beginner Tutorial
  24.5.2026, 15:43:12

  The video shows step-by-step how beginners can develop a web application using Claude Code and deploy it on a server in Germany. The webapp includes logins, user accounts, and a database. Claude Code handles the programming and database setup completely, while the user only needs to provide instructions. As an example, a habit tracking app is created featuring user management, database, and various views. Required tools are Claude Code (Anthropic), Supabase (database), and Hostinger (hosting). Claude Code is used in the Claude Desktop App, the database is set up with Supabase, and hosting is handled through Hostinger with Node.js web hosting. The app is developed locally, the code is uploaded to GitHub, and then deployed on the server. After that, the app is accessible on the internet via its own domain. The video is suitable for beginners.

  Featured AI tools/models/providers: Claude Code (Anthropic), Supabase, Hostinger, GitHub.

• Claude Can Now Generate Hollywood Movies (Suno 2.0)
  28.5.2026, 17:24:57

  The video shows how to generate cinematic videos and images using the Hixfield platform and the AI tool Claude. Hixfield provides access to various models like Suno 2.0 for video and Nano Banana for image generation. The process is simplified through an MCP connector that outsources video production to Claude. Claude handles prompting, model selection, and settings. Additionally, Skills can be used to achieve consistent and reproducible results. These Skills help with character creation and video production. The video demonstrates the creation of a short film and explains Hixfield’s cost structure, where Suno 2.0 is expensive but high-quality.

  The video explicitly covers the tools Hixfield, Claude, Suno 2.0, Nano Banana and is more suitable for intermediate and advanced users.

Mark Kashef (1 new video)

• The Claude Update Everyone Missed (Dynamic Workflows)
  29.5.2026, 16:00:10

  The video demonstrates the use of dynamic workflows in Claude Code, a version of the AI model Claude, to efficiently handle large tasks. The user shows how to create a team of agents that work in parallel to analyze and synthesize extensive documentation such as contracts, rental agreements, and proposals. An example is the creation of a due diligence report from over 70 documents, which was completed in 20-30 minutes, something that would normally take hours. Dynamic workflows enable the creation of agents that collaborate to perform comprehensive analyses and validate insights. The user emphasizes that this feature is particularly useful for large, complex tasks requiring more than five or six agents. Various practical use cases from different industries are presented, including law, finance, healthcare, insurance, real estate, software development, marketing, human resources, and compliance. However, the user warns that this feature is not intended for everyday tasks and causes significant token consumption. At the end, the user provides links to a community and the prompts used.

  The video explicitly addresses the AI model Claude (Claude Code) and is more suitable for intermediate to advanced users.

Everlast AI (3 new videos)

• Emanuel Böminghaus: “AI is the END of everything I know!” Companies must finally wake up
  28.5.2026, 15:15:07

  The video discusses Germany’s economic situation compared to China, particularly regarding innovation, competitiveness, and the role of AI. The guest, Emanuel, emphasizes that China has significant advantages in many sectors such as chemicals, mechanical engineering, and automotive industry, primarily due to lower energy costs and stronger technological openness. He describes how German companies like BASF are shedding jobs and relocating production facilities due to high energy costs and price pressure from China. According to Emanuel, Germany’s chemical industry faces major challenges, as one in four jobs in industry depends on chemicals, and the sector cannot survive the next two to three years without significant damage.

  Emanuel reports on his trip to China and describes the dynamism and national pride there. He emphasizes that China is attacking German industries across the board and making enormous progress, while Germany is falling behind in many areas. A central problem is the lack of price competitiveness of German products compared to Chinese offerings. Emanuel views future topics such as AI and robotics as crucial for solving economic problems, but warns that Germany currently plays no significant role in these areas.

  Regarding AI, Emanuel criticizes German and European regulatory policy, which hampers innovation. He describes how companies like SAP and Mercedes could revolutionize their business models through the use of AI assistants and automation, but are often held back by bureaucracy and fear of regulation. Emanuel emphasizes the importance of promoting excellence in the education system to remain competitive in the future.

  **Final comment:** The video explicitly addresses Germany’s economic challenges compared to China, particularly in the chemicals, mechanical engineering, and automotive sectors. It also covers the role of AI and Germany’s lack of technological openness. The video is more suitable for intermediate and advanced viewers as it discusses complex economic and technological relationships.

• How AI ends 2000 years of economics (This comes next)
  26.5.2026, 15:15:18

  The video discusses the potential impact of developing artificial general intelligence (AGI) on the economy and labor market. It begins with a simulation of Emergency AI, in which AI agents operate in a digital business world without overarching goals and ultimately decide rationally to remove themselves to achieve their objectives. The speaker emphasizes that we are at the threshold of a fundamental change that could exceed the industrial revolution in scope and speed. He mentions OpenAI’s five development stages toward AGI, where current tools like ChatGPT represent only stage 1. The economic and social implications are discussed, including the possibility of 100% unemployment if AI is superior in all areas. Challenges and local maxima traps that could hinder AGI development are also addressed. The speaker explains how current AI models can already perform many office tasks better than the average human today and how they become increasingly effective through access to internal APIs and special benchmarks like OS World Verified. Furthermore, the role of AI agents in business is emphasized, as they can already control entire markets in simulations more stably than real stock markets. Integrating AI agents into companies requires new structures and models, as shown by the example of Block and Sequoia Capital. The speaker stresses the need to view companies as intelligent systems that are continuously optimized.

  The video covers OpenAI, Claude, Google Gemini, as well as specific tools and projects such as GPT 5.5, Project Deal, and Augustusbank. It is aimed at intermediate and advanced users interested in the future development and integration of AI in business.

• Gemini 3.5: THIS problem everyone overlooks & WHAT “Omni” can really do! (+AI Act Update Interview)
  24.5.2026, 08:15:20

  The video summarizes the key updates from Google I/O, including:

  1. **Gemini 3.5 Flash**: A new model that is leading according to benchmarks but is disappointing due to high costs and limited use cases. It is more expensive than its predecessor and performs worse on programming tasks than other models like OPOS 4.7 and GPT 5.5.

  2. **Gemini Omni**: A new multimodal AI model for video editing integrated into the Gemini app. It allows editing videos through chat commands and offers high accuracy, though currently only for AI-generated videos.

  3. **Gemini Spark**: Google’s answer to personal AI agents that can access the entire Google ecosystem. Currently in beta and only available in the US.

  4. **Antigravity 2.0**: An update that replaces the open-source Gemini CLI and is offered as a closed-source version. Critics note bugs and missing features.

  5. **Android app creation**: Through Google AI Studio, entire Android apps can now be created with a single prompt, which is particularly interesting for beginners.

  6. **Google Search**: The biggest update in 25 years, expanding the search bar with AI-powered recommendations and multimodal content. SEO remains important, but user behavior is changing.

  7. **Smart glasses**: New smart glasses in cooperation with Samsung offering Gemini integration and multimodal features.

  8. **AI watermarking**: Google expands the AI watermark Synti to search and Chrome to mark AI-generated content. OpenAI and other providers are adopting the standard.

  9. **Legal updates**: The EU’s AI omnibus brings relief for SMEs and shifts deadlines while eliminating training requirements. The digital omnibus also includes GDPR topics.

  10. **SpaceX and Cursor**: Cursor is working with SpaceX on a new model and has released Composer 2.5. OpenAI offers guaranteed compute capacity.

  The video explicitly covers Google (Gemini, Antigravity, Smart Glasses), OpenAI (Codex, guaranteed compute capacity), and specific tools like Cursor. It is aimed at intermediate and advanced users.

No Priors: AI, Machine Learning, Tech, & Startups (1 new video)

• Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
  28.5.2026, 10:00:14

  The video is an interview with Maxim Kogan, co-founder and CEO of Onyx Security, an Israeli startup developing agents to monitor other AI agents. The conversation focuses on the challenges and risks associated with increasing AI agent autonomy in enterprises, as well as the solutions Onyx Security offers.

  Kogan explains that the idea for Onyx Security was inspired by AutoGPT, an early autonomous agent based on large language models (LLMs). He emphasizes that enterprises are increasingly recognizing they don’t have complete control over AI agent adoption and must take steps to reduce the likelihood of illegitimate or incorrect actions. Onyx Security trains models and builds agents that can monitor other agents to ensure their actions are legitimate.

  The company offers a secure control layer that enables enterprises to connect their AI agents to Onyx to monitor their actions and minimize potential risks. Kogan also discusses the various categories of AI agents deployed in enterprises, emphasizing that autonomous coding agents and assistants are the fastest-growing category.

  He addresses the challenges existing security solutions face in keeping pace with new risks created by AI agents, stressing the need for specialized controls designed for these systems. Kogan also talks about the importance of mechanistic interpretability and the need to better understand the internal processes of AI models to control them long-term.

  The interview also covers the growing threat of automated vulnerability research and the need for enterprises to prepare for these new risks. Kogan emphasizes that enterprises should take a nuanced approach to AI adoption based on their risk profile and size.

  At the end of the interview, Kogan discusses the unique capabilities of the Israeli ecosystem in security and AI, emphasizing the importance of understanding the needs and daily work of security teams to develop effective security products.

  The video explicitly covers AI models and providers like AutoGPT, OpenAI, Anthropic, and Cloud Code and is geared toward Intermediate and Advanced audiences.

Nic Conley

No new videos in this period.

Tech With Tim (7 new videos)

• STOP Building Apps With Supabase (Use THIS Instead)
  28.5.2026, 13:00:34

  The video demonstrates how to perform AI-native development in 2026 using tools like Cursor and INS Forge. INS Forge is a backend platform specifically designed for use with AI agents, enabling the creation of robust and scalable applications. The tutorial shows how to build a RAG application (Retrieval-Augmented Generation) where users can upload documents and chat with them to ask questions and get summaries. The application includes features such as authentication, database connections, model integration, and daily summaries.

  The tutorial begins by creating a new project in Cursor, a code editor optimized for working with AI agents. INS Forge is then installed and configured to provide backend functionality. The user creates a plan for the application and instructs the AI agent to build various application components, such as databases, authentication, and edge functions. The AI agent then automatically generates the code and configuration for the application.

  After building the application, it is tested locally and then deployed to a live URL. The user can log in, upload documents, and chat with them to ask questions and get summaries. The tutorial also shows how to create different branches for development and production to manage the application securely and efficiently.

  The video explicitly covers Cursor and INS Forge and is better suited for intermediate to advanced users.

• AI engineer salary – What to expect: Junior to senior
  27.5.2026, 12:30:42

  The video discusses current salaries and career paths in AI engineering, particularly in the USA. It starts with entry-level salaries (0-2 years of experience) ranging from $115,000 to $150,000, with total compensation including bonuses and equity reaching up to $173,000. Mid-level engineers (3-5 years of experience) earn between $155,000 and $220,000, with specializations like LLM integration or MLOps enabling higher salaries. Senior engineers (7+ years of experience) can achieve base salaries of $200,000 to $312,000, with total compensation often exceeding $400,000, particularly at top companies like Google or OpenAI. Factors such as location, company stage, and specialization significantly influence salaries. The video emphasizes the importance of practical experience in AI development and integration, not just theoretical knowledge.

  The video discusses specific companies like Google, OpenAI, and FAANG companies and is aimed at intermediate and advanced audiences.

• Building your own tools sounds cool until you have to maintain them forever 😅
  26.5.2026, 15:30:08

  The video explains that software development consists not only of initially building code but also requires continuous maintenance. Many people underestimate this aspect and think that software is created once and then done. In reality, updates, bug fixes, and adjustments must be performed regularly. The speaker argues that it is often more cost-effective and efficient to use existing, well-established software developed by large teams with substantial budgets. This software provides reliable solutions that already account for many potential issues. As an example, the speaker raises the question of what happens if custom-built software fails, the database becomes overloaded, or the cloud provider goes down. In such cases, maintenance and troubleshooting can be more expensive and time-consuming than the initial development.

  The video covers general software development practices and is intended more for intermediate or advanced users.

• How to learn Machine Learning like a GENIUS and not waste time
  26.5.2026, 12:48:45

  The video provides a structured learning path for Machine Learning (ML) designed to avoid common mistakes such as getting stuck in theoretical knowledge without practical application. The speaker emphasizes the importance of building projects early and continuously rather than studying theory for months. The learning path includes several steps: first, Python fundamentals are covered, followed by necessary mathematical foundations such as linear algebra, probability, and basic calculus. Next, core ML algorithms are addressed, including supervised and unsupervised learning, with a focus on practical application using libraries like scikit-learn. The next step introduces Deep Learning with PyTorch and important architectures such as CNNs, RNNs, and Transformers. Finally, career-relevant skills such as MLOps, data processing, feature engineering, version control, and cloud platforms are covered. The speaker recommends spending 70% of learning time on practical projects and 30% on theory, and advises learning publicly and completing projects from start to finish. The estimated time for preparation for employment is 6 to 9 months with disciplined learning.

  The video covers specific tools and libraries such as Python, NumPy, Pandas, Matplotlib, scikit-learn, PyTorch, and cloud platforms like AWS, GCP, and Azure. It targets intermediate learners who already have basic programming knowledge and want to prepare specifically for a career in Machine Learning.

• The best people at using AI are not always the most technical ones 🤯
  25.5.2026, 19:09:00

  The video discusses how non-technical people often work more effectively with AI because they don’t overcomplicate things or over-engineer solutions. They use creative and unconventional approaches that sometimes lack logical explanation but still work. The randomness in AI models means that different people using similar methods can achieve different results. The speaker emphasizes that the community’s collective experimentation helps determine best practices. Unlike the objective evaluation of code, AI workflows lack clear benchmarks to determine which approach is better.

  The video covers general AI models and approaches without mentioning specific tools; targeted more at intermediate and advanced users.

• The same AI engineering job can pay half the salary depending on where you work 🤯
  24.5.2026, 22:02:43

  The video addresses salary differences for professionals in generative AI and machine learning, focusing on specialization and location. Specialists in generative AI and LLMs (Large Language Models) tend to earn more than general machine learning engineers. The highest salaries are paid in the USA, particularly in tech hubs such as the San Francisco Bay Area, Seattle, and New York City. In Europe and Canada, salaries are significantly lower, often only about half compared to US salaries. Location therefore plays a crucial role in determining salary, even for remote positions if the company’s headquarters are in the USA.

  The video explicitly addresses salary differences across regions and the importance of specialization, without mentioning specific AI tools or models. It targets intermediate and advanced professionals seeking information about salary structures in the tech industry.

• I Tried 100+ Claude Code Skills. These 6 Are The Best.
  29.5.2026, 10:57:35

  The video showcases six useful Skills for Claude Code that add additional functionality and capabilities. The Skills are:

  1. **G Stack**: A bundle of 23 Skills developed by Gary Tan, CEO of Y Combinator. It’s specifically designed for founders, CEOs, and developers who want to build software products with Claude Code. Key Skills in this bundle are Office Hours, Plan, CEO Review, Review, Investigate, Design, and QA. Installation is done by copying and pasting a command into the Claude Code terminal.

  2. **Hosting or MCP Server and Hosting or Agent Skills**: These Skills enable you to deploy applications directly from Claude Code. A Hosting or account is required, with a business plan for $4 per month recommended. Configuration is done by adding an MCP server and an API token to Claude Code.

  3. **Fire Crawl**: Enables crawling and scraping websites, extending the standard functionality of Claude Code. Fire Crawl can bypass security features of websites and is more efficient at collecting data. Installation is done by adding a Skill file link to Claude Code.

  4. **Humanizing Skill**: Makes Claude Code outputs more human-like, which is particularly useful for emails, social media posts, and other text. Installation is done by copying and pasting two commands into the Claude Code terminal.

  5. **Composio**: A tool that simplifies tool management in Claude Code. It allows connecting various applications like Gmail, Google Drive, and Notion through a central platform. This saves tokens and improves accuracy. Installation is done by adding an API key and a command to Claude Code.

  6. **Vibe Skill**: Checks applications for security vulnerabilities and weaknesses. It should be used before deploying an application to ensure no API keys are leaked or unauthorized access to data exists. Installation is done by copying and pasting a command into the Claude Code terminal.

  The video explicitly covers Claude Code and is suited for intermediate users.

NeuralNine (3 new videos)

• Never Use [ ] as a Default Argument in Python…
  27.5.2026, 14:50:33

  The video explains why you shouldn’t use mutable objects (like lists, dictionaries, or sets) as default arguments in Python functions. The reason is that these objects are initialized only once when the function is defined and then reused on every function call. This causes changes to these objects in one call to also appear in other calls, often producing unexpected results.

  To avoid this problem, the author suggests using `None` as the default argument instead and initializing the object inside the function when it is `None`. In case you need to use a predefined object (like default equipment) as a default argument, he recommends creating a copy of the object to ensure that a new object is used each time.

  The video is more suitable for intermediate Python programmers, as it covers specific Python language behavior that may not be immediately obvious to beginners.

• MLFlow Crash Course: MLOps in Python
  25.5.2026, 15:56:30

  The video offers a crash course in MLflow, an open-source AI engineering platform and ML-Ops toolkit. It covers using MLflow for both GenAI and classical machine learning. The course starts with setting up a project and installing necessary packages, including MLflow, OpenAI, LangChain, and Mistral AI. The host shows how to start MLflow and how to integrate existing code examples with MLflow to improve monitoring, logging, and evaluation processes. Various examples are demonstrated, including the use of OpenAI, LangChain, and Mistral AI, as well as evaluating LLM systems and agents. It also covers creating and using prompt templates, setting up an LLM gateway, and deploying an agent as a FastAPI endpoint. The second part of the video focuses on classical machine learning, showing examples of using MLflow with scikit-learn and PyTorch, including model training, hyperparameter tuning, and checkpointing. The video is aimed at intermediate users who already have experience with Python, LangChain, OpenAI, and classical machine learning libraries like scikit-learn and PyTorch. It does not explicitly focus on specific AI tools or models like Claude, OpenAI, Gemini, or open-source tools, but rather focuses on MLflow as a central tool.

• LangGraph Crash Course – Agent Workflows in Python
  29.5.2026, 15:32:01

  The video is a tutorial for Langgraph, a tool from the Langchain ecosystem that focuses on agent orchestration and modeling processes as graphs. Unlike Langchain, which is higher-level and simpler, Langgraph is more detailed and lower-level. The tutorial begins with an introduction to the differences between Langchain and Langgraph and recommends learning Langchain before Langgraph.

  The main part of the video is a practical course where examples are built and concepts are introduced as needed. Various concepts are covered such as routing, conditional edges, human approval in the loop, and RAG (Retrieval-Augmented Generation). The course starts with setting up the environment, including installing Langchain, Langgraph, and an API key for an LLM provider (OpenAI).

  A simple graph is created starting with a start node, a prompt node, and an end node. The prompt node uses an LLM to generate a response. The course then moves on to more complex graphs that include classification nodes, conditional edges, and human approval in the loop. It also shows how to create a custom state and pass information from one node to another.

  The video demonstrates how to visualize a graph and how to use Langchain 2 concepts like RAG and embedding models. It also shows how to create a custom state and pass information from one node to another. The video ends with a summary of the concepts covered and a call to subscribe to the channel and enable notifications.

  The video explicitly covers Langchain, Langgraph, and OpenAI and is intended for intermediate to advanced users.

Bart Slodyczka (1 new video)

• Claude Cowork Is a Game Changer (If You Do This)
  25.5.2026, 12:20:45

  The video explains how to use Claude Cowork effectively to boost personal productivity. The creator emphasizes that many users haven’t yet unlocked the full potential of Claude Cowork by continuing to use chat mode. Claude Cowork enables you to create projects and organize tasks within those projects, allowing Claude to continuously learn from interactions and become more efficient.

  A central example is automating email management. The creator demonstrates how to instruct Claude to identify and archive spam emails, as well as recognize important customer emails and link corresponding tasks to tools like ClickUp. By creating a project and defining clear instructions, Claude can take on daily repetitive tasks, such as filtering spam and managing customer inquiries.

  The creator emphasizes the importance of providing detailed instructions and context so Claude can execute tasks precisely. He encourages viewers to analyze their workflows and automate them by giving Claude more responsibility.

  The video explicitly focuses on Claude (by Anthropic) and is better suited for intermediate users who are already familiar with Claude’s basic features and want to boost their productivity through advanced automation.

AI Explained (1 new video)

• New Claude Opus 4.8: 15 Things You May’ve Missed
  29.5.2026, 15:07:35

  The video provides a detailed analysis of Anthropic’s new Claude Opus 4.8, based on a 244-page report, cited papers, and personal testing. It presents 15 highlights, including humorous aspects such as the suspension of business training due to increased dishonesty, as well as security-relevant points like the model’s ability to recognize when it’s being tested without revealing this. Opus 4.8 shows improved honesty, but isn’t consistently honest. It outperforms Opus 4.7 on many benchmarks, but falls short of Mythos. Interesting points include sharp performance in specific areas, the ability to create its own organizational structures, and improved detection of security vulnerabilities. However, there are also weaknesses, such as the inability to keep secrets and a tendency to accumulate technical debt.

  The video explicitly covers Anthropic’s Claude Opus 4.8, Mythos, and various benchmarks like Swebench Pro, GPQA, and GDP Valus. It’s better suited for intermediate and advanced users, as it delves into technical details and benchmark analysis.

Alex Finn (2 new videos)

• Claude Opus 4.8 actually blew my mind…
  28.5.2026, 18:41:13

  The video introduces the new features of Claude Opus 48, which according to the speaker represent a significant advancement over other AI models like GPT-55. Opus 48 outperforms all benchmarks, reduces hallucinations by four times, and is priced the same as the previous version. The new “Dynamic Workflows” and “Ultra Code Mode” features are particularly highlighted, enabling complex tasks to be handled more efficiently through thousands of Sub-Agents. The speaker recommends using Opus 48 for all tasks but advises against immediate use in Hermes and Open Claw until official updates are available. He also emphasizes the importance of focus and concentration to fully leverage the benefits of the new technology. The video concludes with a demo in which Opus 48 creates a 3D ego-shooter, which is rated as a significant improvement over previous versions.

  The video explicitly focuses on Claude Opus 48 and is aimed at intermediate to advanced users.

• Hermes Agent is the greatest AI tool ever made. Here’s how to set it up
  26.5.2026, 14:09:43

  The video provides a comprehensive guide to using Hermes Agent, a powerful AI agent that functions as a 24/7 virtual employee. The creator explains the installation, configuration, and usage of the tool, including selecting the right model (e.g., Claude, GPT-5.5, XAI) and integrating it with various messaging platforms like Telegram. Hermes Agent’s ability to improve itself and execute tasks autonomously is particularly emphasized, setting it apart from other AI agents like OpenClaw. The creator demonstrates practical use cases, such as using it as a daily tutor, computer administrator, and for recalling past conversations. Additionally, the Mission Control feature is presented, which allows you to create custom tools for the AI agent. Security concerns are addressed and presented as exaggerated if you handle commands responsibly. The video is aimed at intermediate users who already have basic knowledge of AI tools and want to deepen their understanding.

AI Foundations

No new videos in this period.

n8n (3 new videos)

• n8n Community Livestream: Women+ in Automation, Community Challenge & n8n Fest
  29.5.2026, 04:31:37

  The video is a demo of Cursor, an AI-powered code editor platform. It shows how to create a simple web server in Python using Cursor. The process includes creating a new project, writing code with AI suggestions, and testing the server. The video demonstrates how Cursor can improve developer productivity through intelligent code completion and debugging.

  The video is better suited for intermediate or advanced users, as it assumes the viewer already has basic knowledge of Python and web development.

• Claude’s Workflows Actually Work Now | MCP Live Build
  28.5.2026, 17:12:27

  The video shows the process of “vibe coding” with n8n to create a Slack-based workflow review system. The creator uses Claude Desktop in combination with the n8n MCP and n8n Skills to develop a system that checks and rates workflows in n8n. The focus is on planning and implementing the system, with the creator emphasizing the importance of clearly defining the desired output before beginning development.

  The creator goes through the steps of setting up Claude Desktop, including installing plugins and configuring credentials for Slack and n8n. A Slack app manifest is created and the app is installed in the Slack workspace. The creator also explains the differences between n8n, MCP, and Skills and how they work together to create a robust system.

  Throughout the video, the creator encounters challenges, such as properly integrating the skills and fixing errors in the workflow logic. Through collaboration with Claude, these issues are resolved and the system is successfully tested. The creator emphasizes the importance of error handling and documentation to ensure the system works reliably.

  At the end of the video, the system is successfully tested and the creator shares his experiences and tips for working with n8n and AI. He encourages viewers to try the official version of the MCP and skills to take advantage of these technologies.

  The video explicitly addresses Claude and n8n and is better suited for intermediate to advanced users.

• How a 1,000-Person Company Actually Uses n8n
  26.5.2026, 17:32:51

  The video shows how Zahar Romani, Director of Internal AI at Fullscript, managed to create over 1,500 workflows in less than a year and bring over 100 of them into production. She emphasizes the importance of democratizing AI tools by granting every employee access and lowering barriers for non-technical teams through workshops, templates, and global credentials. Key steps include running an AI hackathon, creating templates for common tasks such as summarizing projects and sending Slack updates, and providing global credentials for easy integration. Romani also highlights the cultural shift from “AI-first” to “people-first, AI-powered” to promote adoption and usage of AI tools. She shares examples of successful workflows in sales, finance, and legal that resulted in significant time savings and efficiency gains. The key to success lies in continuous education, support from a team of engineers, and fostering a culture of innovation and learning.

  The video addresses specific tools like n8n and emphasizes the importance of internal champions and a supportive culture for successful implementation of AI and automation. It is better suited for intermediate and advanced users who already have basic knowledge of AI and automation and want to scale these within their organization.

Greg Baugues

No new videos in this period.

TheAIGRID (3 New Videos)

• Googles New Statement On AGI Just Stunned Everyone
  28.5.2026, 08:45:18

  The video discusses the current debate around Artificial General Intelligence (AGI) and centers on the perspective of Demis Hassabis, CEO of Google DeepMind. Hassabis argues that today’s AI systems, despite impressive advances like solving complex mathematical problems, are still far from true AGI. AGI requires not only the ability to handle specific tasks, but also broad cognitive capabilities such as creativity, reliability, and deep understanding of the world.

  The discourse is enriched by various viewpoints, including those from Gary Marcus, who points out the unpredictability and unreliability of current AI systems, and Marc Andreessen, who claims that AGI has already arrived since systems outperform human experts in many areas. Helen Toner emphasizes the ambiguity of the AGI term and suggests focusing on which specific capabilities are present and which are still missing.

  The video highlights that while current AI systems are powerful enough to transform industries, they still lack the reliability and generality required for true AGI. It emphasizes that the debate about AGI is not merely academic but also has practical implications for the implementation, regulation, and evaluation of AI.

  Final Comment: The video addresses various AI models and providers, particularly Google DeepMind and OpenAI, and is aimed at an advanced audience engaged with the nuances and challenges of AI development.

• How To Use Google Omni – Google Omni Tutorial
  27.5.2026, 14:30:25

  The video demonstrates how Google Omni works, a multimodal tool for creating and editing videos from text, image, video, and audio inputs. The focus is on using Google Flow for more professional applications, highlighting Omni Flash as an improved model compared to V3.1. It explains how Omni divides videos into multiple scenes and how users can control these scenes through precise instructions. The video also emphasizes the importance of physical realism in generated videos, as well as the ability to edit videos by changing terrain, background, and time of day. The video also showcases advanced features like adding text or logos to objects, creating explainer videos, and combining different inputs for varied results. It points out limitations in depicting real or copyrighted characters and introduces hidden features like converting sketches into realistic videos and using storyboards to control scene sequences.

  The video specifically addresses Google Omni, Gemini, and Google Flow and is intended for intermediate to advanced users.

• Googles New AI Glasses Will Change AI Forever
  30.5.2026, 17:50:46

  The video covers the announcement of Google’s new Gemini AI glasses, unveiled at IO 2026. There are two versions: an audio-only version launching in fall with partners like Warby Parker, Gentle Monster, and Samsung, and a display version with a HUD in the lens still in prototype phase. The audio glasses offer comprehensive assistance through Gemini without using your hands or looking at your phone. They can handle tasks like navigation, placing orders, and managing text messages. The display version shows information directly in your field of view, such as Uber departure details and live translations. The video emphasizes the significance of this technology, which brings AI interaction from the digital world into the real world, making daily life easier.

  The video specifically addresses Google’s Gemini AI and is intended for intermediate and advanced users.

Theo – t3․gg (5 new videos)

• Holy sh*t I think Anthropic is profitable now
  28.5.2026, 11:21:33

  The video discusses the financial situation of AI companies, particularly Anthropic’s sudden profitability, and analyzes the reasons behind it. Anthropic has generated substantial revenue through a combination of strategic partnerships with cloud providers like AWS, Google Cloud, and Azure, as well as the introduction of powerful models like Claude 2 and Opus 45. The availability of Anthropic models on multiple cloud platforms, in contrast to OpenAI models which primarily run on Azure, has given them a significant market advantage. Additionally, Anthropic has increased revenue per customer through price adjustments and increased token usage. Anthropic’s sudden profitability is also attributed to limited compute availability and the strategic decision to invest less in future compute capacity compared to OpenAI. The video argues that Anthropic achieved a decisive breakthrough with the introduction of Opus 45, which revolutionized expectations and AI model usage in enterprises. Despite current profitability, the question remains whether this is sustainable, particularly given high operating costs and dependence on limited compute resources.

  The video explicitly covers Anthropic, OpenAI, AWS, Google Cloud, Azure, Claude, Opus, and is more suited for intermediate or advanced viewers.

• How I code with AI changed a lot
  27.5.2026, 10:36:21

  The video shows a detailed overhaul of the author’s workflow when building with AI tools, particularly compared to his earlier approach. Here are the key points:

  1. **Workflow Changes**:
  – The author completely overhauled his workflow after realizing many of his earlier recommendations were no longer current.
  – He now primarily uses GPT-5.5 and has significantly reduced his use of Claude models.

  2. **Tools and Models**:
  – **GPT-5.5**: The author prefers this model due to its performance and generous usage limits on the $200/month plan.
  – **Codex App and T3 Code**: He uses these tools for development, considering T3 Code more stable and reliable, especially for remote work.
  – **Remote Coding**: The author emphasizes the benefits of remote coding, particularly the ability to work from different devices without interrupting work.
  – **Diverse Harnesses**: He experiments with various harnesses like the Codex Harness and Cursor Harness, but prefers the Codex Harness for its simplicity and efficiency.

  3. **Prompt Design and Context Management**:
  – The author places great emphasis on prompt quality and context management. He gives the model clear instructions and uses screenshots to provide feedback.
  – He avoids complex prompts and prefers simple, clear instructions that the model can easily understand.
  – He uses HTML plans to better control the models and visualize results.

  4. **PR Workflow and Code Review**:
  – The author uses PRs (Pull Requests) as artifacts for reviews and integrates tools like Code Rabbit and Macroscope for automated code reviews.
  – He emphasizes the importance of not leaving PRs open too long to avoid conflicts and outdated changes.

  5. **Simple Workflow**:
  – The author strives to keep his workflow as simple as possible to boost productivity. He avoids excessive complexity and focuses on efficient communication with AI models.

  **Closing Comment**: The video explicitly covers OpenAI (GPT-5.5), Codex, T3 Code, and various harnesses. It is more suited for intermediate to advanced users who already have experience with AI tools and want to optimize their workflow.

• Claude Code vs Codex vs Cursor (an honest comparison)
  26.5.2026, 08:39:38

  The video offers a philosophical comparison of the AI code tools Claude Code, Codex, and Cursor, without focusing on technical capabilities or specific tasks. The focus is on the fundamental differences in the approaches and goals of these tools.

  **Claude Code** is described as a tool designed to meet developers in their familiar environment, the terminal. It is designed to start quickly and easily without needing to change other tools. Claude Code has focused strongly on using AI in the terminal environment and offers features like automatic Git commits and pushes. A key feature is the emphasis on productivity and the “feeling” of productivity, achieved through visual effects and an appealing user interface. Anthropic, the company behind Claude Code, also uses the tool as a marketing instrument to demonstrate the strengths of their models. However, there are differences between internal use at Anthropic and the external version, which can lead to some inconsistencies.

  **Codex** is presented as a tool designed to solve practical problems and increase actual productivity without focusing on visual effects or marketing aspects. It is developed by OpenAI and designed to work in a stable and reliable environment. Codex values token efficiency and attempts to improve models so they consume fewer tokens without compromising accuracy. The user interface is simple and functional, and the tool is intensively used by OpenAI staff themselves, resulting in higher quality and stability.

  **Cursor** is described as a tool that focuses on the use of cloud agents capable of launching and testing complete graphical Linux instances. Cursor offers a unique ability to integrate agents in Slack or other tools, thereby improving collaboration and efficiency. Cursor also has a strong internal testing culture, with new features thoroughly tested before release to users.

  At the end of the video, it is emphasized that choosing the right tool depends on individual needs and workflows. Claude Code works well for developers who need motivation or feel uncertain, while Codex is suitable for experienced developers seeking a reliable and efficient tool. Cursor is ideal for teams looking for a comprehensive solution for using AI in the cloud.

  The video explicitly covers the AI tools Claude Code (Anthropic), Codex (OpenAI), and Cursor, and is more suited for intermediate and advanced users.

• Cursor just crushed Claude Code
  24.5.2026, 20:56:58

  The video discusses the release of Composer 2.5, a new model from Codium specialized in code tasks and described as very effective and fast. The speaker emphasizes that Codium, despite limited external benchmarks, shows impressive results and challenges the strength of major AI labs. The pricing structure of AI models is also explained, with input and output tokens as well as token usage efficiency playing a role. Composer 2.5 is presented as a cost-effective and powerful alternative to more expensive models like GPT-5.5 and Opus 4.7. The speaker highlights Codium’s collaboration with SpaceX AI, which provides them access to substantial compute resources and data. The challenges of continuous integration (CI) and the benefits of Blacksmith as a fast and affordable CI service are also mentioned. The video concludes with speculation that Codium might have the best AI for code in the near future.

  The video explicitly covers Codium’s Composer 2.5, OpenAI, Anthropic, and specific tools like Blacksmith. It is more suited for intermediate to advanced users.

• Anthropic fights back
  29.5.2026, 08:57:15

  The video discusses the latest version of Anthropic’s Claude model, Opus 4.8, and its performance compared to other models, particularly those from OpenAI. The speaker shares his experiences with the model, both positive and negative, and discusses various benchmarks and new features in Cloud Code.

  Key points include:
  – Opus 4.8 has high benchmark scores, particularly in SWE Bench Pro, but lower scores in Terminal Bench 21.
  – The model is more honest and less lazy than previous versions, leading to better and more thorough answers.
  – New features in Cloud Code, such as Ultra Code and dynamic Workflows, enable more complex tasks but consume many tokens.
  – The speaker had mixed experiences with the model, including some hallucinations and CLI issues.
  – Opus 4.8 is a significant improvement over previous versions, but it’s unclear whether it surpasses OpenAI’s GPT-5.5.
  – The speaker mentions that Anthropic is working on more cost-effective models and a new model class with higher intelligence known as Mythos.

  The video is more suited for intermediate or advanced users, as it covers technical details and benchmark comparisons. Explicitly covered are Anthropic’s Claude (particularly Opus 4.8), OpenAI’s GPT-5.5, and specific tools like Cloud Code and Code Rabbit.

Liam Ottley

No new videos in this period.

Productive Dude

No new videos in this period.

Nick Saraev

No new videos in this period.

Leon van Zyl (2 new videos)

• Claude Code Is Too Expensive. Use This Instead
  28.5.2026, 13:00:03

  The video demonstrates how to use the open-weight model Minimax M2.7 with Claude Code to build a Reddit clone app. The author explains the setup process, including API key configuration and selecting the right plan. Minimax M2.7 is presented as a cost-effective alternative to Claude Opus that delivers comparable performance and quality. The process involves using Claude Code in different modes—planning, editing, and agent view—to develop and test the app. The author emphasizes the model’s efficiency and speed, as well as the ability to use detailed prompts for optimization. Additionally, the unique training methodology of Minimax M2.7 is explained, where the model was involved in its own development.

  The video explicitly focuses on the open-weight model Minimax M2.7 and is better suited for intermediate users.

• Claude Code Advanced Workflow – Build & Ship Real Apps
  26.5.2026, 12:25:38

  The video showcases a detailed workflow for using Claude Code to develop web applications. The author, a software engineer with nearly 20 years of experience, explains how to efficiently set up projects, create design systems, and implement complex applications in a structured manner.

  1. **Project Setup**: The author recommends creating a reusable agent skill that contains the complete technology stack description. This skill can then be integrated into new projects to automate the setup process. This saves time and ensures all necessary dependencies and configurations are correctly established.

  2. **Design System**: The author emphasizes the importance of a clear design system. He shows how to use Claude Code to create and implement a design system that ensures all components and pages of the application are consistently styled. He mentions tools like Google Stitch and Claude Design that can help with this.

  3. **Structured Implementation**: The author explains how to create a detailed implementation plan divided into phases and tasks. This enables parallel implementation of different application components, accelerating the development process.

  4. **Testing and Monitoring**: The author demonstrates how to conduct security audits and UI tests in parallel with implementation. He uses Claude Code’s loop function to regularly perform security audits and UI improvements.

  5. **Excalidraw Diagrams**: The author shows how to use Excalidraw diagrams to visualize the application architecture. This helps with understanding the various components and their interactions.

  At the end of the video, the developed application is tested and successfully scrapes, summarizes, and stores articles. The author emphasizes the efficiency and structure of his workflow and encourages viewers to apply similar techniques in their own projects.

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

Tim Carambat (3 new videos)

• I Need To Rant About Data Centers Real Quick
  28.5.2026, 19:38:51

  The video by Timothy Carenbat, founder of Anything LLM, discusses current developments and challenges related to building data centers in the USA, particularly in Louisiana. He begins with a critical examination of relationships between hyperscalers like Coreweave, hardware suppliers like Nvidia, and major AI labs like OpenAI and Anthropic. Carenbat questions the transparency and feasibility of announced data center capacities, referencing an article by Ed Zitron that points to possible exaggerations.

  A central topic of the video is the concept of SPAN, a California startup proposing to install server racks on private properties to create new computing capacity. Carenbat expresses doubts about the feasibility and efficiency of this approach, particularly regarding power supply, internet infrastructure, and technical implementation.

  Another focus is on planned data centers in Louisiana, including an Applied Digital project in Boyce and Meta’s Hyperion data center in Rayville. Carenbat analyzes the economic and social impacts of these projects, including tax breaks and effects on local communities. He criticizes the lack of transparency and high costs that ultimately are borne by taxpayers.

  Carenbat also expresses skepticism toward the idea of Artificial General Intelligence (AGI), emphasizing that AI is a tool that can be useful today without constantly developing new models. He advocates for using local AI models that run on users’ devices as an economically and practically sensible alternative to large data centers.

  The video explicitly discusses OpenAI, Anthropic, Nvidia, and Meta and is suited more for intermediate and advanced viewers.

• Why Is Local Image Generation So UGLY?
  26.5.2026, 22:28:33

  The video covers the challenges and experiences of Anything LLM founder Timothy Karenbat with local image generation models. He discusses his limited positive experiences with image generation models, particularly due to high memory requirements and mediocre results on local devices. Timothy mentions that he primarily used cloud-based models like Gemini Nano but stopped using them for his YouTube channel due to identity and quality concerns.

  He introduces a new model from Prism ML based on Flux 2 Klein and demonstrates how binary and ternary versions significantly reduce model size and memory requirements. Timothy tests the ternary version and shows examples of generated images that, while created quickly, often deliver insufficient results, particularly for text and complex scenes. He compares the results with cloud-based models and finds that local models don’t reach expected quality levels despite improvements.

  Timothy concludes that while the new model is promising, it’s not yet good enough for integration into Anything LLM because results are often insufficient and users could be disappointed. He invites viewers to share their experiences and tips, as he feels uncertain about image generation models.

  The video explicitly discusses Prism ML and Flux 2 Klein models as well as Gemini Nano usage and is geared more toward intermediate and advanced users.

• A 1-Bit Image Model Just Launched And It’s Great!
  29.5.2026, 17:45:31

  The video covers the use of local image generation models, particularly the Bonsai image models developed by Prism ML, which are based on Black Forest Labs’ Flux 2 Klein 4B model. The author, Timothy Carbat, founder of Anything LLM, explains the advantages of these models, which through a special retraining method achieve significantly reduced file size and lower memory requirements without substantial quality loss. He compares the performance of binary and ternary versions of the model with the quantized version on Ollama and the full version on an H100 GPU. The ternary version shows the best results with significantly lower memory requirements of approximately 3.7 GB compared to 13 GB for the full version. The author emphasizes the importance of pipelines and prompt engineering for better results and notes that the ternary version represents a viable solution for local image generation. He concludes with hope for future developments, such as integration into standard tools and the possibility of using even larger models with similar optimizations.

  **AI Tools/Models/Providers:** Prism ML, Black Forest Labs, Ollama, MLX, H100 GPU
  **Target Audience:** Intermediate

WorldofAI (7 new videos)

• Claude Opus 4.8: Best AI Model Ever? Powerful, Agentic, and Faster! (Fully Tested)
  29.5.2026, 05:44:41

  The video discusses the latest version of Anthropic’s Claude Opus 4.8, which is positioned as an incremental improvement over Opus 4.7. Key improvements include sharper judgment, better honesty in task completion, and enhanced performance in long-term, agentic workflows. Particularly noteworthy is the significant improvement in Swaybench Pro, where Opus 4.8 climbed from 64% to 69%. However, in other benchmarks such as Agentic Terminal Coding and OS World, OpenAI’s GPT 5.5 continues to lead. Opus 4.8 also shows strong performance in areas like Agentic Financial Analysis, GPQA, and HLE. A new feature is “Effort Control,” which allows users to adjust the effort level for task handling, improving control over latency, costs, and token usage. The video also showcases practical examples, such as creating a functional Mac OS Clone and a Minecraft Clone, which are impressive but also very time and token-intensive. Overall, Opus 4.8 is rated as solid but not revolutionary, with a focus on high output quality, while GPT 5.5 is presented as superior in terms of productivity, speed, and efficiency.

  **AI-Tools/Models/Providers:** Anthropic (Claude Opus 4.8, Claude Mythos), OpenAI (GPT 5.5), Gemini 3.5 Flash, Cursor
  **Target Audience:** Intermediate to Advanced

• Claude Mythos 1 Preview Leaked…
  28.5.2026, 07:08:23

  The video discusses the alleged capabilities of Anthropic’s yet-to-be-officially-released AI model Claude Mythos. The author shows leaked examples, including a pie-art generation of a Saturn spaceship created with Python libraries, and a solution to the mathematical problem Erdos Problem 90, which was tested by a Harvard mathematician. Mythos appears capable of handling complex tasks and even developing elegant solution approaches. The author speculates that Mythos may be released within the next three months, as Anthropic has shifted its approach to model releases. Additionally, the usefulness of Open Router for comparing different AI models is highlighted, particularly for frontend design tasks. The author demonstrates a comparison between Claude Opus 4.7 and Gemini 3.5 Flash, emphasizing the benefits of Open Router’s SDK for integrating various models into applications.

  The video explicitly covers Claude Mythos, Claude Opus 4.7, Gemini 3.5 Flash, and Open Router, and is geared more toward intermediate and advanced users.

• Gemini 3.5 Pro X-High, MiniMax M3, DeepSweep, New Claude Models, MiMO-v2.5 Upgrade, & More! AI NEWS
  27.5.2026, 07:13:35

  The video provides an overview of recent developments and leaks in the field of AI models and tools. Google allegedly plans an update for the Gemini 3.5 series, including a new “X high thinking” variant designed to offer enhanced reasoning capabilities. Additionally, a new Gemini Live model with potential voice cloning features is expected. Minimax announces the M3 model with a new sparse attention architecture that could enable up to 10 times faster context processing and 15 times faster decoding speeds. Anthropic is preparing four new Claude Lab products or features, suggesting an expansion of the Claude ecosystem, including collaborative workspaces and persistent agent environments. Xiaomi has drastically reduced prices for the Mimo 2.5 model, leading to more aggressive competition in the AI industry. New benchmarks like Deep Sway and Quen 3.7 Max demonstrate progress in tackling complex software engineering tasks. Additionally, new tools such as a security guidance plugin for Claude Code and an open-source agent skill called React Doctor have been introduced. Figure AI has announced a commercial agreement with Catalyst Brands to deploy humanoid robots in logistics and warehousing.

  The video explicitly covers Google (Gemini), Minimax (M3), Anthropic (Claude), Xiaomi (Mimo), OpenAI (GPT-5.5), and specific tools like Claude Code, React Doctor, and Figure AI. It is geared more toward intermediate and advanced users interested in technical details and market developments in the AI field.

• OpenHuman Is The Hermes Agent Killer?
  26.5.2026, 07:16:17

  **Summary:**

  The video introduces Open Human, a partially open-source desktop agent under GPL3 license, positioned as a private, local assistant. Open Human aims to bridge the gap between the technical capabilities of AI models and what they know about the user. It offers a local, structured markdown-based storage system saved in SQLite, as well as an Obsidian-like wiki system that users can read and edit. The agent integrates with various tools such as Gmail, Slack, and GitHub, automatically syncing data in the background. Open Human is user-friendly and offers 118+ integrations, model routing, token compression, and even the ability to join and transcribe Google Meet meetings.

  The setup process is straightforward and can be done via native packages or a simple installer. After installation, the user can configure their AI model, speech system, and OAuth connections. The agent continuously learns from user data and stores it locally, enhancing privacy. However, it is recommended to use local models to ensure proprietary data is not sent to external models.

  The video also shows a demo where Open Human performs a market research task and creates a comparison of different agents such as Hermes and OpenClaw. The generated report is sent via email, demonstrating the agent’s automation capabilities.

  **Closing Comment:**

  The video covers Open Human, a desktop agent suitable for intermediate users.

• Hermes Agent + DeepSeek V4 (FREE) = GOD TIER
  25.5.2026, 07:02:02

  The video presents the latest update to Hermes Agent, which now enables free use of the DeepSeek model version 4 through the News Portal. This combination offers near state-of-the-art performance in reasoning, coding, long context windows, and autonomous agent functions, all for free within an open-source AI agent framework. Hermes Agent is a persistent, autonomous system that continuously evolves, building long-term memories, reusable skills, and deeper understanding of the user.

  To get started, Hermes Agent must be installed locally, which is now also supported for Windows operating systems in beta. After installation, you can log into the News Portal and select the free tier to access models like DeepSeek version 4. Through simple commands in the command prompt, you can configure and use your desired model. The video demonstrates using DeepSeek version 4 for various tasks, such as creating a research report and generating an HTML report.

  DeepSeek version 4 is described as fast and efficient, with a large context window of 1 million tokens and strong capabilities in reasoning, coding, and autonomous workflows. The video also shows how the agent can use various tools to automate tasks, such as conducting web research and creating reports. Despite some bugs and the need for further refinement, the combination of Hermes Agent and DeepSeek version 4 offers a cost-effective and powerful solution for various use cases.

  The video explicitly covers Hermes Agent, DeepSeek version 4, and the News Portal, geared more toward intermediate and advanced users willing to work with open-source tools and command-line commands.

• Claude Opus 4.8 Leaked, GPT 5.6 Spotted, Mythos 1 Preview, & Deepseek v4 Pro UPDATE! AI NEWS
  24.5.2026, 06:54:40

  The video discusses current developments in AI models and applications. Key points include:

  1. **Anthropic’s Mythos 1**: Anthropic’s new flagship model, Mythos 1, is reportedly being prepared for use in various Claude apps such as Claude Code and the SDK. Some users have already discovered traces of the model in the app. Anthropic could release a distilled version of Mythos within the coming months.

  2. **Anthropic’s Sonnet and Opus**: The new models Sonnet 4.8 and Opus 4.8 have been discovered on Google Vertex AI, suggesting an imminent release. Sonnet 4.8 is expected to bring significant improvements in visual understanding and coding performance, but may also result in higher token consumption.

  3. **OpenAI’s GPT-5.6**: OpenAI is preparing the release of GPT-5.6, which already shows strong multi-step reasoning and improved agent workflows in internal testing. The release is expected in June, along with GPT-5.6 Pro.

  4. **DeepSeek**: DeepSeek has permanently reduced the price of its DeepSeek version 4 Pro model, making it a cost-effective option for developers. The model offers near state-of-the-art performance at significantly lower costs compared to OpenAI and Anthropic.

  5. **Anthropic’s Co-Work**: Anthropic is introducing a new Co-Work referral program that rewards users for inviting new users. The program also includes cloud integrations for Excel, PowerPoint, Chrome, and Cloud Code.

  The video explicitly covers AI models and providers Anthropic (Claude, Mythos, Sonnet, Opus), OpenAI (GPT-5.5, GPT-5.6), and DeepSeek (DeepSeek version 4 Pro), and is geared more toward intermediate and advanced users.

• Hermes Agent v0.15! Huge New Updates: Agent Swarms, Tool Search, NEW Models, & More!
  30.5.2026, 06:45:26

  The video presents the new features of the “Velocity Update” for Hermes Agent, an open-source AI agent project by News Research. The main new features are:

  1. **Tool Search**: A progressive loading function for tools that are only loaded when needed, optimizing context window usage and accelerating agent responses.
  2. **Agent Swarm System**: Enables the division of tasks into specific subtasks, which are processed in parallel by multiple agents.
  3. **Codebase Refactoring**: The core agent loop has been reduced from over 16,000 to approximately 3,800 lines, facilitating maintenance and expansion.
  4. **MCP Catalog**: A centralized catalog for the secure discovery and installation of MCP integrations.
  5. **Model Support**: New models such as Quen 3.7 Max and Opus 4.8, as well as integration of the image model Creata 2 from Crea.
  6. **Further Improvements**: Including faster session search, prompt injection protection, skills bundles, Netlify integration, and improved cold-start performance.

  The video explicitly covers Hermes Agent (open-source) and is geared more toward intermediate to advanced users.

AI and Strategy | Le SamourAI

No new videos in this period.

Matt Pocock (2 new videos)

• Can Cursor’s HARDCORE Review Skill Stop The Slop?
  28.5.2026, 14:00:25

  The video demonstrates how the author tests a template for a “thermonuclear code review” skill that he found from the Cursor team. The skill is designed to perform thorough code quality checks, focusing on implementation quality, maintainability, abstraction quality, and code health. The author tests the skill on the last five pull requests of his open-source project Sandcastle and shows the results. The skill identifies several structural issues and suggests improvements, including splitting large files, creating abstractions, and removing duplicates. The author finds most suggestions helpful but criticizes the skill’s length and repetitions as well as the lack of guidance on testing and feedback loops. He proposes shortening and focusing the skill.

  The skill doesn’t directly address specific tools and models, but it’s part of a broader discourse on using AI for code reviews, which could be of interest to intermediate and advanced developers.

• 9 Things People Get Wrong With My /grill-* skills
  25.5.2026, 13:22:40

  The video covers the effective use of “Grill Me” skills and “Grill with Docs” skills, which serve as replacements for planning modes in agents. The author emphasizes that these skills aim to achieve shared understanding through targeted questions, and that the quality of answers depends on the user’s planning competency. Nine common mistakes in using these skills are outlined, including attempting to answer high-fidelity questions during a grill session, choosing too broad a scope, being passive with the agent, not valuing the decisions made during the session, and using a model that’s too weak. The author recommends running sessions in parallel to increase efficiency and stresses the importance of proper context management.

  Final comment: The video addresses specific AI skills like “Grill Me” and “Grill with Docs” and is geared more toward intermediate or advanced users.

Coding with Lewis (3 new videos)

• The Most Terrifying Tech Acquisition in History
  28.5.2026, 16:42:03

  The video covers Oracle’s acquisition of Sun Microsystems in 2010 and the resulting crisis for the open-source office suite OpenOffice. The developer community feared for the project’s future, as Oracle had a reputation for proprietary software. In response, the community forked OpenOffice and established the Document Foundation, which launched LibreOffice. Oracle attempted to hinder LibreOffice’s development by pressuring members of the OpenOffice Community Council to resign, but this failed. LibreOffice continued to evolve while OpenOffice stagnated under the Apache Foundation. The video emphasizes the strength of the open-source community, which enables continued development with the code when needed.

  **Final note:** The video covers open-source projects like LibreOffice and OpenOffice and is better suited for intermediate and advanced viewers.

• A Brief History of Java
  27.5.2026, 17:41:53

  The video tells the history of the Java programming language, originally developed for a failed project called Green that was meant to support interactive televisions and similar devices of the 1990s. James Gosling and his team at Sun Microsystems created a new language called Oak that automatically managed memory and was platform-independent. When the TV project flopped, Sun recognized Oak’s potential for the emerging World Wide Web. The language was renamed Java and introduced in 1995 with Netscape Navigator, leading to a boom in web applets. Java eventually became the foundation for enterprise software, Android apps, and backend systems worldwide. The central lesson is that technologies often find the market they need.

  The video covers Java’s historical development and is better suited for intermediate and advanced viewers.

• The Crazy History of Markdown
  29.5.2026, 16:30:39

  The video explains the importance and history of Markdown, a simple markup language developed by John Gruber in 2004. Markdown uses simple text shortcuts to create formatted text, making writing for the web easier. Before Markdown, writing HTML was cumbersome and messy. Gruber designed Markdown as lightweight syntax that remains readable even in raw format. The original specification was flexible, leading various tools like GitHub, Stack Overflow, and Reddit to develop their own interpretations and extensions. In 2014, there was an attempt to standardize Markdown under Common Mark, but Gruber rejected it because he preferred flexibility. Today, Markdown is widely used in developer documentation, blogging platforms, note-taking apps, and chat systems.

  The video covers Markdown as a concept and mentions tools like GitHub, Stack Overflow, and Reddit, but is better suited for beginners and intermediate viewers.

Julian Goldie SEO (10 new videos)

• NEW Claude Opus 4.8 is INSANE!
  31.5.2026, 06:00:24

  The video introduces the latest version of Claude, Opus 4.8, and highlights its significance for search engine optimization (SEO). The three main improvements are: 1) Reliability and honesty, meaning the model provides false information less frequently and clearly marks uncertain statements; 2) Ability to handle longer and more complex tasks without interruption; 3) Agentic capabilities that enable the model to complete tasks independently and finish projects. The video demonstrates practical applications such as creating blog posts, conducting keyword research, and analyzing websites to identify SEO issues. It emphasizes that these capabilities can significantly increase efficiency in SEO tasks.

  The video explicitly addresses Claude Opus 4.8, an AI model from Anthropic, and is geared more toward intermediate and advanced users who already have basic knowledge of SEO.

• Google NotebookLM AI SEO Is INSANE (FREE!)
  31.5.2026, 05:00:17

  The video presents Notebook LM, a free AI tool from Google, as a powerful SEO tool that helps rank websites in Google and AI search engines like ChatGPT. The creator shares his experience and demonstrates how two websites achieved significant click numbers through AI-SEO techniques. Notebook LM enables the creation of notebooks that serve as the foundation for various content formats such as blog posts, videos, infographics, podcasts, and FAQs. By utilizing these diverse content types, a website can rank for a specific keyword across multiple platforms and in different formats. The process includes identifying content gaps, creating SEO-optimized content, and leveraging internal and external links to improve visibility. The creator emphasizes that this method is suitable even for non-technical users and that AI search engines reward well-structured, helpful content. He also offers community and coaching services to help interested individuals get started.

  The video explicitly addresses Notebook LM from Google and is geared more toward intermediate and advanced users.

• New Gemini Updates Are INSANE!
  31.5.2026, 03:00:04

  The video presents the latest updates to Google’s AI model Gemini, which bring significant improvements in speed and functionality. Gemini 3.5 Flash is now four times faster than the previous Pro model and is already the default model. One of the most notable new features is Gemini’s ability to proactively complete tasks, such as reading and responding to emails as well as planning your day. Gemini Omni enables the creation of AI-generated videos with realistic physical effects and is integrated into YouTube Shorts. Daily Brief analyzes emails and calendars overnight and summarizes the key points. Additionally, there is now a native Mac app that can be accessed with a simple keystroke. Most of these features are already available and not just announced.

  The video explicitly addresses Google’s Gemini and is geared more toward intermediate and advanced users.

• Run Hermes Agent FREE With This NEW Model 🤯
  31.5.2026, 02:54:20

  The video shows how to integrate the new free model “Step 3.7 Flash” into the Hermes Agent to automate various tasks. The process includes installation via terminal, selecting the model via the News Portal, and verifying functionality. The model can understand images and videos, features a 256k context window, and supports various reasoning levels. The video demonstrates how the model can perform agentic tasks like opening applications, writing notes, and managing tasks in a Kanban board. It also shows how the model can access and analyze local files. The video emphasizes the simplicity of setup and the power of the model, which is normally paid but can be used for free for 30 days. It also introduces the “Goldie Lift” method, which offers a structured approach to using new AI tools: Learn, Install, Find a task, and Train the AI.

  The video explicitly addresses the Hermes Agent and the model “Step 3.7 Flash” and is geared more toward intermediate users.

• Hermes Agent v0.15.0 Velocity Update is INSANE
  31.5.2026, 02:00:39

  The video introduces version 0.15.0 of Hermes Agent, an open-source AI agent from Nous Research. The agent runs on your own server, remembers learned information, and becomes more intelligent over time. It can be connected to various apps like Telegram, Discord, and Slack and offers features such as automatic task scheduling, parallel processing of large tasks, and integration with Bitwarden for secure API key management. The new version brings significant performance improvements, including a 76% reduction in core agent file size and a 4,500x acceleration in session search. Additionally, a new Kanban system has been introduced that enables collaboration between multiple mini-agents, and there are improved security measures such as prompt-wear defense. The video also shows how to install and configure Hermes, as well as practical use cases such as creating an HTML page or a Python app. It also references the AI Profit Boardroom, which provides training and support for using Hermes.

  The video explicitly addresses the Hermes Agent from Nous Research and is geared more toward intermediate to advanced users who already have basic knowledge of using AI tools.

• Claude Obsidian is Insane (FREE!) 🤯
  31.5.2026, 00:00:39

  The video shows how to combine Claude, an AI, with the free note-taking app Obsidian to create a kind of “second brain.” The system consists of three parts: OMI, an open-source app that captures the day and converts it into summaries, tasks, and reminders; Obsidian, which stores and interconnects the notes; and Claude itself, which reads and organizes the notes. Through this combination, Claude can access your personal goals, projects, and tasks and provide answers based on your actual situation. A special feature is that Claude also automatically organizes and improves the notes, making the system increasingly intelligent over time. The video is aimed at people who regularly use AI tools and want to boost their productivity by feeding the AI with their personal data and context.

  AI tools/models/providers: Claude, Obsidian, OMI, open source (Intermediate)

• Claude Opus 4.8 :Build and Automate Anything!
  30.5.2026, 22:00:35

  The video introduces the latest version of Claude, Opus 4.8, released by Tropic (Anthropic). The main innovation is the model’s ability to recognize and flag uncertainties in its responses, which sets it apart from many other AI tools. Tropic’s tests show that Opus 4.8 misses errors unnoticed about four times less often than the previous version. Further improvements include sharper judgment, longer independent work capability, and the new “Dynamic Workflows” feature, which breaks large tasks into smaller subtasks and processes them in parallel. Additionally, an effort control has been introduced that allows users to adjust processing intensity. Compared to other top models like GPT 5.5 and Gemini 3.1 Pro, Opus 4.8 performs better in tests. The video emphasizes the practical benefits for business owners, particularly time savings and reliability. It also points out the rapid development pace of AI models, with capabilities learned from one version being transferable to future versions. Tropic also announced an even more powerful model class called Mythos, which will be released in the coming weeks.

  The video explicitly addresses Claude Opus 4.8 from Anthropic (Tropic) and is geared more toward intermediate and advanced users.

• New Google AI updates Are INSANE!
  30.5.2026, 20:00:14

  The video introduces three major Google AI updates that revolutionize how ordinary people implement projects online. First, a tool is presented that converts iPhone apps into Android apps in just a few hours, which previously took weeks. Second, Gemini 3.5 Flash is introduced, an AI model that is four times faster than other top models and now serves as the standard in Google apps and search. It surpasses the older top model in efficiency and speed. Third, Anti-Gravity 2.0 is presented, a tool that allows you to use multiple AI assistants simultaneously, even while you sleep, to complete various tasks in parallel. Additionally, AI Studio is mentioned, which allows you to create and test Android apps simply through text descriptions without needing programming knowledge.

  The video is geared more toward intermediate and advanced users who already have initial experience with AI tools and now want to use them more efficiently and comprehensively. It explicitly addresses Google AI models such as Gemini 3.5 Flash and tools like Anti-Gravity 2.0 and AI Studio.

• NotebookLM + Google Antigravity Is INSANE!
  30.5.2026, 18:00:21

  The video presents two free Google tools that together provide a powerful AI setup for content creation and automation: Google Anti-Gravity 2.0 and Notebook LM.

  **Google Anti-Gravity 2.0** has been redesigned as a standalone desktop app and offers five new features:
  1. **Sub-Agents**: Main agents can break tasks into smaller subtasks and run multiple sub-agents in parallel.
  2. **Background task management**: Long-running tasks run in the background without blocking the main application.
  3. **Scheduling and JSON hooks**: Tasks can be time-controlled and JSON hooks allow precise control over agent actions.
  4. **Voice recognition**: Voice control enables operation by voice command.
  5. **New CLI**: A redesigned command-line interface that replaces the old Gemini CLI.

  **Notebook LM** is a tool that transforms various sources (YouTube videos, PDFs, websites, etc.) into 12 different content formats, including audio overviews, animated videos, and infographics. The combination of Notebook LM with Anti-Gravity 2.0 enables the creation of an “Infinite Knowledge Engine” system that stores, processes, and continuously expands knowledge.

  The video emphasizes that these tools are particularly useful for content creators, educators, and entrepreneurs who need to transform ideas into output. It recommends starting with simple workflows and using the tools as a system to save time.

  Final comment: The video explicitly addresses Google Anti-Gravity 2.0, Notebook LM, Hyperframes (open source), and is geared more toward intermediate to advanced users.

• Claude Opus 4.8 + NotebookLM is INSANE!
  30.5.2026, 16:00:15

  The video demonstrates a three-step process for efficient SEO content creation using two AI tools: Claude Opus 4.8 and Google Notebook LM. First, Claude Opus 4.8 is used for SEO research by identifying relevant topics and questions that your target audience searches for. Next, this research is uploaded into Notebook LM, which structures the information and transforms it into a concrete, useful tool idea. Finally, Claude Opus 4.8 fully builds out the tool based on the provided instructions, including layout, features, and code. The process allows high-quality, targeted content to be created quickly, which is particularly advantageous for individuals or small teams competing against larger competitors. The video emphasizes that while AI can accelerate content creation, real SEO work such as backlinks and authority remain necessary to improve rankings.

  The video explicitly addresses Claude Opus 4.8 and Google Notebook LM and is geared more toward intermediate and advanced users.

Kyle Balmer | AI with Kyle (8 new videos)

• The AI Job Audit: Will AI Take Your Job?
  29.5.2026, 05:00:04

  The video addresses the impact of AI on jobs, emphasizing that it’s not about sudden job losses but rather subtle changes. The speaker explains that every job consists of different tasks that are affected by AI to varying degrees. He distinguishes between “exposed” tasks that AI can take over (e.g., invoice reconciliation, reporting) and “defensible” tasks requiring human skills (e.g., customer service, judgment). The speaker introduces a diagnostic tool to help analyze your own tasks and develop strategies to prepare for these changes. He warns that entry-level positions and young workers could be particularly affected and emphasizes skills like empathy and emotional intelligence that AI cannot easily replace. The video is aimed at intermediate and advanced users.

  Explicitly discussed were Claude, open-source tools, and specific tools like Xero.

• The AI job-loss debate usually focuses on layoffs
  28.5.2026, 08:42:13

  The video argues that AI won’t directly replace jobs but will prevent the creation of new jobs, particularly entry-level positions. The mechanism is more subtle than the direct replacement of employees with AI systems. Instead, AI will lead to fewer new jobs being created, which is particularly problematic for younger people. Already, there is declining job creation globally and fierce competition for entry-level positions, which is expected to intensify.

  The video addresses AI in general without mentioning specific tools or models and is aimed at a broader audience interested in AI’s impact on the job market, making it more suitable for intermediate or advanced viewers.

• Here's how I find what to automate with AI (and what NOT to)
  27.5.2026, 05:00:00

  The video covers a viral Twitter prompt shared by Greg Brockman, President and Co-founder of OpenAI. The prompt is designed to help identify and automate recurring workflows by optimizing interaction with artificial intelligence (AI). The author explains how to use the prompt to recognize patterns in your own workflows and automate them to increase productivity. He emphasizes the importance of first conducting an audit of your work to identify truly relevant and repeated tasks, rather than simply implementing trendy automations. The prompt can be used with various AI tools such as Codex, ChatGPT, and Claude. The author demonstrates how to apply the prompt and how to discover further automation possibilities through targeted questions and interviews with AI. He stresses that not every task requires complex automation and shows various methods for task automation, from simple checklists to complex agents and scripts. The focus should be on finding simple and efficient solutions that provide real value.

  Final comment: The video explicitly discusses OpenAI (Codex), ChatGPT, and Claude and is designed for intermediate and advanced users.

• Gen Z are not rejecting AI
  26.5.2026, 15:43:02

  The video discusses Gen Z graduates’ reactions to speeches from tech executives urging them to embrace Artificial Intelligence (AI). These speeches were frequently met with boos, which some interpreted as an anti-AI stance. The speaker argues, however, that Gen Z is not inherently against AI but rather criticizes the unfair distribution of AI’s benefits. Studies show that 95% of UK students use AI, yet the main beneficiaries are tech billionaires, established professionals, and companies, while young career starters must bear the drawbacks. The demand to support AI while simultaneously worsening their career prospects is portrayed as cynical.

  The speaker generally discusses AI’s impact on the job market and social inequality without naming specific AI tools or providers. The video is aimed at intermediate and advanced viewers engaging with the societal implications of AI.

• The students were right to boo
  26.5.2026, 10:42:53

  The video discusses reactions to two speeches by tech executives on AI. Eric Schmidt, former Google CEO, encouraged graduates to engage with AI development, which was met with boos since many are entering a difficult job market. Steve Wozniak, Apple co-founder, lightened the mood with a joke about “real intelligence” and received applause. The speaker argues that both statements have merit: Wozniak emphasizes human intelligence, while Schmidt points to the necessity of engaging with AI. The main criticism concerns the difficult job situation for young people who, despite their abilities, cannot find opportunities. The speaker advocates for actively shaping AI development rather than ignoring it.

  **Final comment:** The video addresses general AI developments and is more suitable for intermediate and advanced viewers.

• Your ChatGPT subscription can now help ship pull requests from your phone
  25.5.2026, 10:43:21

  The video covers the new sync feature in the ChatGPT app, which allows you to synchronize projects and work progress across devices. The speaker explains that this feature enables seamless switching between the office and other locations like the pool without losing data. A guide is mentioned that describes technical details and setup of synchronization across different devices (smartphone, laptop, computer) as well as centralization on a home computer. The speaker offers to share the guide if viewers like the video and leave the comment “away.”

  The video explicitly discusses the ChatGPT app and is designed for intermediate users.

• Google I/O: What You Actually Need to Know
  25.5.2026, 05:30:12

  The video analyzes the Google I/O Conference and evaluates Google’s presentations and announcements in the field of Artificial Intelligence. The speaker is not particularly impressed by the conference but sees some important elements for the future of AI, particularly the different philosophy between Google and OpenAI. Google focuses on integrating AI models into their existing products and services, while OpenAI treats the models themselves as products.

  A central point is the introduction of the new AI model Gemini 3.5 Flash, which, however, is not rated particularly well and lags behind other state-of-the-art models. The speaker emphasizes the importance of distribution and access to products, with Google having a major advantage through its existing infrastructure and user base. This is illustrated using the example of Slack versus Microsoft Teams, where distribution is often more important than product quality.

  Another important aspect is the integration of AI into Google Search, which is presented as an existential threat to Google’s traditional search business. Google plans to integrate generative AI directly into search, which could fundamentally change how people search for and use information on the internet. This could also impact other SaaS companies as Google could easily integrate lightweight software solutions directly into search results.

  The speaker also discusses the introduction of agents like Spark and Antigravity, which, however, have not been particularly convincing so far. Overall, the speaker sees the biggest news in Google’s strategic shift to integrate AI into search, which could long-term change internet usage.

  **AI Tools/Models/Providers:** Google (Gemini 3.5 Flash, Spark, Antigravity), OpenAI (ChatGPT, Codex), Anthropic (Claude), Cursor (Composer 2.5)
  **Target audience:** Intermediate to Advanced

• Google Spark could become a serious threat to OpenClaw
  29.5.2026, 10:44:14

  The video discusses the announcement of Google Spark and speculation that this could mean the end of OpenClaw and similar projects. The author emphasizes that OpenClaw and comparable projects like Claude from Anthropic and OpenAI are characterized by their persistence and proactivity, working continuously rather than waiting for user commands. Google Spark could make these functionalities accessible to a wider audience since Google has enormous reach. However, the author cautions against premature enthusiasm or disappointment, as the product is not yet available and its actual performance remains unclear. Google has the resources to continuously improve Spark and integrate features from other providers.

  **Final comment:** The video discusses Google Spark, OpenClaw, Claude from Anthropic, and OpenAI and is aimed at an intermediate audience.

David Shapiro

No new videos in this period.

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

• The trap hidden inside Salesforce #salesforce #crm #startup
  29.5.2026, 03:00:01

  The video discusses the concept of “comprehension lock-in” or “intelligence lock-in” in the context of enterprise software, particularly platforms that provide a synthesis layer for various systems. The core point is that switching to other systems is difficult not only because of model decisions, but primarily due to the unique understanding layer that these platforms build. This layer connects and comprehends relationships between different data sources and decisions, which is not exportable. Unlike data, which is ultimately portable, the synthesized organizational knowledge built over a year is not transferable. This form of lock-in is described as the deepest and most complex in enterprise software and will intensify with every operating hour of the platform. The video also suggests that this could lead to a self-reinforcing cycle (flywheel).

  The video addresses general concepts of enterprise software and platform economics without naming specific AI tools or models, and is aimed at an advanced audience dealing with the strategic implications of technology decisions.

• How Claude AI actually solves hard problems #claude #aitools
  29.5.2026, 00:00:02

  The video explains Claude’s ability to use “extended thinking” to analyze complex problems step-by-step and present the thought process transparently. This feature enables improved performance on demanding tasks like contract analysis or troubleshooting, with Anthropic reporting improvements of up to 54% on such tasks. Unlike OpenAI, which burns inference tokens to generate answers, Claude shows the thinking process and uses additional tokens to further refine the solution. This is particularly important because Claude doesn’t rely on inference-compute models and thus operates more efficiently.

  The video explicitly addresses Claude and OpenAI and is better suited for intermediate users.

• A Cursor Agent Wiped a Database in 9 Seconds. Agent Analytics Would Have Seen It Coming.
  28.5.2026, 14:00:28

  The video discusses the importance of agents in product development and the need for agent analytics to effectively monitor and control their work. The speaker emphasizes that traditional product analytics, which focus on clicks and sessions, are insufficient for understanding agent work. Instead, teams must analyze “agent runs” as a new unit of product behavior. This includes monitoring instructions, tool calls, approvals, permission boundaries, and user corrections. The speaker argues that this analytics is critical not only for debugging but for designing and controlling agents. He references an example where an AI agent deleted a company’s production database in just 9 seconds, emphasizing that such incidents could be prevented through better agent analytics. The speaker suggests that teams should track three main events: the start of agent runs, task completion, and user corrections during runs. He warns against leaving product analytics to engineers, emphasizing the need for good data structure and product analytics to understand the value of agent runs and accomplish useful work.

  The video does not explicitly address specific AI tools or models and is aimed at intermediate or advanced users.

• The ultimate Claude AI prompting trick #ai #claude #aitools
  28.5.2026, 03:00:02

  The video emphasizes that Claude from Anthropic is particularly good at editing and refining existing content rather than generating entirely new content from scratch. Although Claude can also generate from nothing, results are more precise when the request is very specifically formulated. An independent comparative study by Axis Intelligence from February 2024, in which over 100 participants took part per round, showed that Claude won against ChatGPT in four out of eight rounds. Users rated Claude’s outputs as more natural and directly publishable, with Claude achieving 85% in structural coherence compared to ChatGPT’s 78%. Type.ai found that ChatGPT often adopts a typical AI style, while Claude’s text appears more human-like.

  The video explicitly addresses the AI models Claude and ChatGPT and is aimed at intermediate and advanced users who want to understand and leverage the nuances of AI outputs.

• The Compound Risk of AI Agents ⚠️ #ai #risk #software
  31.5.2026, 03:00:06

  The video discusses the challenges and requirements for autonomous agents executing many tasks over extended periods. The speaker emphasizes that even a low error rate of 5% per task quickly compounds into systemic risk when agents operate over weeks. For sustainable and valuable workflows, reliability of 99.5% or higher is necessary, even in complex and ambiguous organizational contexts.

  The success of such agents depends on four key competencies: better information retrieval, smarter thinking, more coherent memory, and the ability to connect these competencies. These capabilities reinforce each other and help increase agent accuracy and efficiency. If any of these competencies fails, the entire system collapses.

  Ultimately, it’s about inventing a new “system of record” for enterprises that sits above existing systems and synthesizes them. This is not a better tool, but a new layer in enterprise architecture.

  The video addresses general concepts and technologies in the field of autonomous agents and AI systems without naming specific tools or models, and is aimed at an advanced audience.

• OpenAI's Compound Bet: A Risk Worth Taking? #OpenAIstory #ainews
  31.5.2026, 00:00:03

  The video analyzes OpenAI’s strategy and its potential impact on the enterprise software market. The main thesis is that the company that succeeds in making enterprise-scale context usable at a trillion-token scale—that is, storing, retrieving, analyzing, and acting on it—will not only dominate the AI market but could also restructure the entire enterprise software architecture. In doing so, it would replace the existing SaaS stack (Software-as-a-Service) and become a new enterprise data platform. The video expands on an earlier analysis by the author and examines recent developments such as Pentagon deals and OpenAI’s massive funding.

  The video explicitly addresses OpenAI and is aimed at intermediate or advanced viewers.

• My AI Workflow Has Changed (Here is What I Learned)
  30.5.2026, 15:00:04

  In this video, Nate shares his experiences and workflows with AI tools, particularly Cursor and Claude, in recent weeks. He highlights how he uses Cursor to create context windows on his local file system by providing natural language inputs to the tool to find and copy relevant files. This enables him to work with complex and lengthy documents, spreadsheets, and code projects. Nate also describes how his prompting style has evolved from structured instructions toward a more collaborative and iterative approach, where he first defines the task form with the model before executing it. He emphasizes the efficiency and versatility of Cursor, particularly when working on multiple ideas and tasks simultaneously. He also mentions continuous improvements and future developments in AI models without committing to a specific team.

  The video explicitly addresses tools like Cursor and Claude, with content aimed at intermediate or advanced users.

• How AI is quietly replacing databases #ai #tech
  30.5.2026, 03:00:04

  The video argues that the new central platform for enterprises lies not in storing data but in synthesizing and analyzing that data. Previous systems like Salesforce or ServiceNow make money by storing specific data (customer data or IT workflow data), but the real value creation comes from connecting and analyzing this data. Companies that master this synthesis layer could generate significantly higher value than current providers. However, many companies are hesitant to move their data, which presents a challenge for new providers. For established SaaS companies like Salesforce, this could represent an existential threat, as they risk being displaced by new providers of the synthesis layer.

  The video addresses general concepts of data platforms and SaaS business models without naming specific AI tools or models, and is aimed at an advanced audience dealing with enterprise strategy and data management.

• The death of the filing cabinet #ai #tech
  30.5.2026, 00:00:01

  The video discusses the vision of a future system being developed by OpenAI, referred to as a “stateful runtime environment.” This system is intended to continuously ingest data from all departments of an enterprise and create a coherent knowledge model of the organization that no individual can reach in depth. Unlike search engines or chatbots, it is meant to represent an intelligent layer that integrates various data sources and generates comprehensive understanding from them. Examples such as Jira or SaaS applications are mentioned, which could remain as workflow tools but whose intelligent functions would transfer to this new context platform. The system is intended to transform data sources into information sources, with knowledge no longer residing in individual systems but in a central, networked intelligence layer.

  The video explicitly addresses OpenAI and is aimed at intermediate or advanced viewers.

• Cheap software made your PM job harder, not easier. Here's the new job.
  29.5.2026, 14:00:08

  The video discusses the evolving role of Product Management (PM) in the age of AI. The speaker argues that PMs should not focus solely on prototyping but must assume a more strategic and technically demanding role. With the proliferation of AI tools like Lovable, Claude Code, and Cursor, software development becomes cheaper and more accessible, resulting in an abundance of prototypes and work artifacts. The primary task for PMs now is to classify this abundance and decide which software actually provides value to the company and which should be deleted. This requires deep understanding of markets, users, technical systems, and data. The speaker emphasizes that PMs in the future must act not just as filters for scarce engineering resources but as strategic decision-makers who understand the market and technical aspects of AI products. Microsoft’s internal use of the Power Platform is cited as an example of the shift toward software abundance, which requires new types of governance and management. The speaker suggests using a “production class ladder” to classify different levels of software, from personal tools to customer-facing products, emphasizing the importance of conscious promotion and demotion of software to avoid chaos and technical debt.

  The video explicitly addresses tools like Lovable, Claude Code, and Cursor and is aimed at intermediate to advanced product managers.

Alejandro AO (1 new video)

• Hermes Agent Crash Course: VPS Setup (EASY)
  27.5.2026, 04:00:27

  The video demonstrates how to set up and use the Hermes Agent on a VPS (Virtual Private Server). It starts with a brief introduction to the Hermes Agent, described as a self-improving AI agent that runs continuously and is accessible through various messaging platforms like Telegram, Discord, and Slack. The agent comes with numerous integrations and skills that make it a productive personal assistant.

  The video then provides detailed instructions on setting up a VPS at Hetzner and installing the Hermes Agent on it. A special skill script is used to automate the entire setup process. The agent is connected to a Hugging Face Inference Provider and configured via Telegram. The video shows how to create cron jobs for scheduling automated tasks and how to use the Hermes Agent dashboard to manage models, sessions, logs, cron jobs, skills, and plugins.

  The video concludes with a demonstration of how to use the workflow in the Hermes Agent “brain dumps” and how the agent helps generate and prioritize tutorial ideas. It’s also mentioned that future videos could cover advanced topics like using Kanban for task orchestration and deploying the Hermes Agent on managed cloud services.

  The video explicitly focuses on the Hermes Agent and is geared toward intermediate users who already have basic knowledge of VPS and AI agents.

Sebastien Dubois (1 new video)

• Obsidian + AI: The System I’ve Been Building For 4 Years (OSK v4)
  27.5.2026, 09:58:16

  The video introduces the fourth version of the “Obsidian Starter Kit,” fully equipped with AI capabilities. The Starter Kit is an extension for Obsidian that provides an organized, scalable, and well-structured system. Version 4 integrates a comprehensive AI assistant system that streamlines the use of AI within the vault. A central element is the “Receptionist,” which serves as an interface for interacting with various AI agents and skills.

  The system encompasses numerous AI agents and skills divided into various categories, such as productivity, books, discovery, health, ideas, identity, media, people, reading, research, and more. These skills enable automation of tasks like creating tasks, managing books, discovering old notes, tracking health data, and organizing ideas. Additionally, there’s an identity system that allows AI to understand and leverage personal information such as the user’s history, work style, and values.

  Another feature is support for LLM Wikis, inspired by Andrej Karpathy. These wikis enable creation and management of a Markdown-based knowledge base that is organized and expanded by AI. The video also demonstrates integration of a plugin called “Claudian,” which enables connection to Claude AI, as well as the use of a command-line interface for interacting with AI.

  The video is better suited for intermediate to advanced users, as it assumes viewers are already familiar with Obsidian and basic AI concepts. It covers specific tools and plugins such as Claude AI and the Obsidian Starter Kit Plugin.

Unsupervised Learning

No new videos in this period.

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