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Claude Opus 4.8 Sets New Standards in AI-Coding

Wednesday, June 3, 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 includes a compact summary, plus a daily overview of the dominant topics. If interested, simply click the link under the summary.

AI with Arnie (1 new video)

• Opus 4.8 is a Freak
  May 29, 2026, 21:07:45

  The video introduces the new features of Anthropic’s AI model Opus 4.8, which is available at the same price as its predecessor. Key updates include Dynamic Workflows, a three times cheaper Fast Mode, and improved honesty of the model, which lies less and provides users with fewer false confirmations. 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 of 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 potential profitability through deals with AWS and SpaceX, as well as Andrew Carbaggi’s efforts to improve the model.

  The video explicitly focuses on 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 discernible 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 a 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 AI field, 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. It 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 beyond it by introducing additional control mechanisms such as hooks and sub-agents. The second aspect, orchestration of multiple sessions, enables handling more complex tasks by focusing each session on a specific sub-task. This is demonstrated through tools like the “Ralph Loop,” which automatically coordinates multiple AI sessions.

  The video emphasizes the importance of personal responsibility and continuous system improvement through learning from errors and adapting rules and processes. It also points to the 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 geared more toward intermediate and advanced users.

Nate Herk | AI Automation (4 new videos)

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

  The video covers the 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 compiled into an HTML file. The author warns about the high costs, as a workflow can quickly consume many tokens. He recommends using workflows only for specific, parallel tasks and not for simple requests. Additionally, the new Ultra Code feature is mentioned, which uses workflows by default and can be very expensive. The author emphasizes that you should be aware of when to use which feature in order to save costs.

  The video explicitly covers Claude Opus 4.8.8 and is aimed more 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, serving 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 optimizing usage. The creator shares his experiences migrating from various tools to Claude Code and emphasizes the importance of organization and continuous improvement. He also provides a free GitHub repository that serves as a starting point for building your own AI operating system. Additionally, he discusses the importance of security and the gradual introduction of automations, comparing it to learning to ride a bike.

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

• 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 is said to feature improved judgment, 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 higher 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 performance of the model depends on the specific use case. Opus 4.8 is designed to address issues from Opus 4.7 such as lack of persistence, excessive security restrictions, and high token costs. The creator shares his first impressions and tips for optimal use of the model, including adjusting the effort level and clearly formulating tasks. Community reactions are mixed, with positive feedback on improvements but also early reports of bugs.

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

• 100 Years of Artificial Intelligence Explained
  2.6.2026, 12:57:25

  The video tells the 100-year history of artificial intelligence (AI), starting with Alan Turing’s Bombe in World War II, which cracked the Enigma code, through to modern AI models like Claude, ChatGPT, and Gemini. It describes the two main approaches in AI development: Marvin Minsky’s symbolic method and Frank Rosenblatt’s neural network method. After several AI winters marked by lack of progress and funding problems, the combination of powerful hardware (Nvidia graphics cards) and large datasets (ImageNet) led to breakthroughs in neural network research. Alex Krizhevsky’s AlexNet revolutionized image recognition, and DeepMind’s AlphaGo demonstrated that AI can make creative decisions. The introduction of the Transformer model and the development of language models like ChatGPT finally brought AI to the mainstream. Today, companies like OpenAI, Google, and Anthropic dominate the market, with Anthropic’s Cloud Code being particularly popular among developers. The video concludes by noting that the history of AI is far from over, with new tools and features being developed daily.

  The video explicitly covers Claude (Anthropic), OpenAI (ChatGPT, Codex), Gemini (Google), and specific tools like Cloud Code and Anti-Gravity. It is aimed more at intermediate and advanced users as it delves deeply into AI history and technology.

Ben AI

No new videos in this period.

Brian Casel (6 new videos)

• This Is the Claude Design Feature Everyone Is Sleeping On
  1.6.2026, 14:00:02

  The video demonstrates how Claude supports users in designing projects by asking targeted questions that lead to better outcomes. Claude poses intelligent questions based on the initial prompt to clarify project details and direction. For example, it asks about the starting point, aesthetic direction, screens to design, and key workflows. Since the user provides minimal background information, Claude generates many questions to gather necessary details rather than making premature assumptions.

  Claude is the focus; geared toward intermediate users.

• The One Skill AI Can't Do For You
  31.5.2026, 14:00:03

  The video discusses how accelerated software development through modern technologies like AI leads development teams to implement too many features instead of focusing on what truly matters. This feature overflow can destroy products, as the old constraint of slow execution has been replaced by new speed. The key to solving this problem lies in a non-technical skill that AI cannot replace: strategic prioritization. The author emphasizes that even in 2026, despite mature spec-driven development, many teams don’t practice this skill sufficiently. The video promises to explain this skill, clarify its importance, and provide a concrete framework to apply it immediately.

  The video covers AI generally and is geared toward intermediate and advanced users.

• Stop Vibe Coding Become a Product Architect!
  31.5.2026, 14:00:04

  The video argues that the critical skill for working with AI is not programming, but taking on the role of a confident product architect. While “vibe coding”—experimenting with AI prompts—is often unpredictable and inefficient, the key lies in clearly communicating goals and requirements to AI. Professional builders use AI to achieve directly usable results instead of working through trial-and-error. The ability to articulate ideas precisely and deploy AI as a tool strategically is essential. Particularly those with business backgrounds or systems thinking bring valuable competencies, since they understand processes and customer needs. The main task is to think strategically and lead AI as your development team to create tailored solutions.

  The video covers generic AI tools and is suited for intermediate and advanced users.

• 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 through 2026. In 2023, he worked entirely manually. By 2024, AI served as an amplifier to accelerate existing processes through features like tab-completion and text support. In 2025, AI became 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, spending 90% of his time designing and refining specifications and only 10% reviewing results. The multitasking ability with agents is described as a natural evolution, as specification creation has become the central creative output.

  The video covers generic AI agents and ChatGPT, but doesn’t focus on specific tools or models, and is geared toward intermediate to advanced users.

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

  The video discusses the evolutionary use of AI agents like Claude or ChatGPT, starting from basic interaction via chat windows to applying skills for automating recurring tasks. The speaker criticizes that even with skills, work remains heavily marked by manual interventions and monitoring, leading to inefficient workflows. The breakthrough comes when the speaker begins to view 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 geared toward intermediate users who already have experience with basic AI interactions.

• From Voice Memo to Finished Newsletter with Claude
  2.6.2026, 14:00:01

  The video shows how the user employs Claude’s “Newsletter Writer” feature to create content for their newsletter. The process begins with a 20-minute voice memo in which the user records ideas and observations for the newsletter. Claude then converts this voice memo into text and uses it as a draft for the newsletter’s main section. The user reviews and edits the draft over several rounds to refine the message. For the demo, the process is simplified by having the user approve the draft without further revisions. The user emphasizes that this method is more efficient than manual formatting and adjustments in other tools.

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

Melvynx (5 new videos)

• Composer 2.5 : le modèle le plus intelligent et pas chère ?
  31.5.2026, 16:38:50

  The video covers the introduction of the new **Composer 2.5** model from Cursor, which is promoted as faster and more cost-effective, yet more powerful than GPT 5.5 High and Opus 4.7 Extra High. The creator tests the model in various scenarios, including thumbnail creation and code generation. It becomes apparent that while Composer 2.5 is fast, it cannot match leading models in terms of quality and reliability. Particularly criticized is Cursor’s high RAM usage, which puts significant strain on the system. The creator concludes that Composer 2.5 is suitable for small tasks and quick fixes, but cannot compete with best-in-class models like GPT 5.5 or Opus 4.7.

  Final comment: The video explicitly addresses the AI model **Composer 2.5** from Cursor and is intended for **Intermediate** to **Advanced** users.

• Opus 4.8 : meilleur modèle au monde (ou Codex…)
  29.5.2026, 06:07:18

  The video tests and compares the new Opus 4.8 model from Cloud with GPT 5.5 across 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 covers 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 demonstrates superior results in most tasks, particularly in code quality and functionality. However, GPT 5.5 faces issues in some areas, such as the notification feature, with code quality problems despite functional capability. Opus 4.8 wins the overall comparison with a higher score. Additionally, new Cloud Code features are presented, such as Dynamic Workflows and an improved agent view, which enable orchestration of Subagents for complex tasks. However, the user expresses concerns about the practicality of these features.

  The video explicitly addresses the Opus 4.8 and GPT 5.5 models and is intended for Intermediate to Advanced users.

• Kombai 2.0 ajoute le design mode et change le code pour toujours (mieux et que 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 appealing user interfaces. The user demonstrates how to create different design variations for an inspiration card using Comb and integrate them directly into an existing application. The process includes defining style guidelines, generating design variations, and implementing the chosen designs in the code. The tool also offers browser integration to check and adjust changes in real time. At the end, it is shown how a feedback dashboard interface is improved and implemented. The video mentions that Comb is free to use up to 300 credits per month, with paid options available after that.

  **AI Tools/Models/Providers:** Comb (proprietary AI), VS Code (integration), Convex (backend database) – intended for Intermediate to Advanced users.

• DeepSWE détruit les modèles chinois (et Claude… désolé les 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 earlier benchmarks such as SWE Bench Pro, Deep SWE measures model performance on realistic tasks that include more complex and lengthy code assignments. The results show that GPT-5.5 achieves the best performance at 70%, followed by GPT-5.4 at 56% and Claude Opus 4.7 at 54%. Models such as 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 often forget requirements or cheat. The benchmark is considered realistic and useful by many experts as it reflects the actual real-world use of AI models.

  **Final comment:** The video explicitly addresses GPT-5.5, Claude Opus 4.7, Gemini 3.5 Flash, and various Chinese models. It is intended for Intermediate and Advanced users.

• Tu veux être une machine
  2.6.2026, 08:57:02

  The YouTuber emphasizes the importance of using the best tools, particularly Codex, to achieve maximum efficiency and success as a developer. He argues that he himself uses Codex intensively and views it as the ultimate tool that is deployed daily for numerous tasks. His goal is to make his viewers “war machines” and top developers who land the best jobs. He encourages his followers to be open to new tools and change their habits, as many people are resistant to change. Through his videos, he hopes to influence his viewers’ mindset and motivate them to try new tools like Codex.

  The video content explicitly addresses Claude/Codex and is aimed at Intermediate and 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 and converting paying customers before developing 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, building a customized solution for a client that solves a specific problem. The focus is on identifying “breakage”—problems that are painful, repetitive, costly, and unresolved for the business. The second step involves acquiring three to five similar customers and co-developing the solution with them, gradually increasing customer involvement in the process. In the third step, the solution is transformed into a standalone software product that enables self-service sign-up and usage. The approach emphasizes finding and acquiring paying customers before investing in product development, highlighting that the biggest mistake is spending months building a product without first validating market needs.

  The video doesn’t focus on specific AI tools or models, making it more suitable for intermediate and advanced viewers who already have technical knowledge and want to launch a SaaS company.

Niklas Steenfatt (2 new videos)

• THE BEST WORKFLOW!!
  31.5.2026, 08:00:34

  The video shows how the user uses Claude Code Remote to access and manage their server from anywhere. The user explains how they install and configure Claude Code Remote on their Hostinger VPS to have access to their server at any time, even after a restart. They demonstrate how to manage different agents in Paperclip with Claude Code Remote and query server information. The user emphasizes the advantages of this remote control, especially the ability to monitor and repair the server even in case of problems like storage overload or hacking attempts. They also mention that they recommend Hostinger as a server provider and provide a discount code for their offers.

  The user explicitly addresses Claude Code Remote and Hostinger, with the video being better suited for intermediate users who already have basic knowledge of server management.

• 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 earning money. The agents were installed and tested on a Hostinger VPS with 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. When tasked with earning money, the agents proposed various but partly unrealistic or uncreative methods.

  The video explicitly addresses 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 as it covers technical details and specific AI tools.

Fireship (1 new video)

• 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 central point is the role of Jeremy Ashkenas, who shaped JavaScript development significantly through three major projects: Underscore.js, CoffeeScript, and Backbone.js. Underscore.js provided a standard library for JavaScript, CoffeeScript improved the 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 comment: The video covers JavaScript and specific tools like Underscore.js, CoffeeScript, and Backbone.js, and is intended more for intermediate and advanced developers.

Julian Ivanov | AI Automation (2 new videos)

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

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

  The video explicitly focuses on the tools Hixfield, Cloud, CDE 2.0, Nano Banana and is more suited for intermediate and advanced users.

• Hermes Agent: 8 Features That Make OpenClaw Look Outdated
  1.6.2026, 14:41:32

  The video introduces Hermes, an AI agent, and compares it with OpenCla, another AI agent. The speaker emphasizes Hermes’ reliability and efficiency, particularly due to its self-improving memory and ability to optimize itself. Hermes is highlighted as the most-used application on Open Router, a platform for language models.

  The video covers eight new features of Hermes that have been added in recent weeks:

  1. **Hermes Dashboard**: A user-friendly dashboard that displays and controls various Hermes settings and functions. It enables management of sessions, models, cronjobs, Skills, and plugins. An integrated Kanban board documents and tracks tasks.

  2. **Slashgoal Command**: Allows Hermes to work on a task until a specific goal is reached. A separate model verifies whether the goal has been achieved, and Hermes continues working until confirmed.

  3. **Background Sessions**: Hermes can complete tasks in the background while the user continues communicating with it. This enables simultaneous processing of multiple tasks.

  4. **Session Search**: A full-text search of past conversations that allows Hermes to quickly access previous information without overloading its memory. This search is token-free and has been massively accelerated.

  5. **Curator**: A maintenance function that runs in the background and archives outdated Skills and information to keep the system lean and fast. This prevents Hermes from slowing down over time.

  6. **Profiles**: The ability to create multiple Hermes agents with different specializations and memories. This keeps the system organized and efficient.

  7. **Kanban Orchestrator**: Breaks down large tasks into smaller subtasks and distributes them to the appropriate agents. This facilitates the handling of complex projects.

  8. **Kanban Swarm Feature**: Allows multiple agents to work in parallel on the same task, with a verifier checking results and a synthesizer creating the final product. This leads to deeper and more thorough outcomes.

  The video also explains how to install Hermes on your own server and access the dashboard via Cloud Code and Tails. It’s recommended to try out Hermes and share your experiences in the comments.

  **Final Comment**: The video explicitly focuses on Hermes and OpenCla and is intended more for intermediate and advanced users.

Mark Kashef (2 new videos)

• 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, leases, and proposals. An example is the creation of a due diligence report from over 70 documents, completed in 20-30 minutes—work that would normally take hours. Dynamic workflows enable agents to collaborate and perform comprehensive analyses while validating 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 across 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 focuses on the AI model Claude (Claude Code) and is better suited for intermediate to advanced users.

• 3 AMAZING Claude Code Dynamic Workflows (Opus 4.8)
  1.6.2026, 16:30:08

  The video showcases three concrete use cases for Claude’s new dynamic workflows, designed to optimize and personalize the use of AI models like Claude Opus 4.8. The first use case demonstrates how dynamic workflows can be leveraged to analyze all of the user’s previous conversations with Claude and create a customized report along with a tutorial for optimal use of the new model. This enables individual adaptation of prompting strategies and avoids generic tutorials. The second use case shows how dynamic workflows can be deployed for in-depth research to verify and validate claims about new features. Numerous agents are employed to check sources and create a well-founded analysis. The third use case concerns auditing your own Claude ecosystem to identify and optimize inefficient or redundant skills and rules. The video emphasizes that dynamic workflows are particularly suited for complex tasks that justify high token usage.

  The video explicitly focuses on Claude’s dynamic workflows and is better suited for intermediate to advanced users who already have experience with AI models and their applications.

Everlast AI (3 new videos)

• Claude Opus 4.8: THESE 7 Things Change EVERYTHING Now! (+ AI World Model Interview)
  31.5.2026, 08:15:31

  The video covers several current developments in AI and robotics. First, seven major updates of the new Opus 4.8 model from Anthropic are presented, including improved performance, lower costs, and new features such as Dynamic Workflows and Ultra Code Mode. These enable complex tasks to be handled autonomously over extended periods. Additionally, the introduction of digital IDs for humanoid robots in China is mentioned, as well as curious incidents involving household robots in San Francisco.

  Another focus is on the discussion of world models, particularly the Agora 1 multi-agent world model published by Odyssey. Dr. Jenny Sein Schwarz explains that world models don’t just predict the next token, but model the entire state of the world, which can be crucial for applications in robotics and other fields. The advantages of world models over conventional language models are highlighted, as well as the challenges and competitive dynamics in this area.

  Finally, various business ideas and trends in the emerging agent economy are discussed, including software development for agents and the integration of private MCP servers into OpenAI. The video is aimed at advanced users who view AI not just as a novelty, but as a tool for increasing efficiency and reducing costs.

  Featured tools/models/providers: Opus 4.8 (Anthropic), Codex (OpenAI), Odyssey (Agora 1), 11 Labs (Dubbing Version 2), Runway, agentmail, Miao. For Intermediate and Advanced.

• Emanuel Böminghaus: “AI is the END of everything I know!” Companies need to 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 areas such as chemistry, mechanical engineering, and the automotive industry, primarily due to lower energy costs and greater technological openness. He describes how German companies like BASF are cutting jobs and relocating production facilities due to high energy costs and price pressure from China. According to Emanuel, the German chemical industry faces major challenges, as one in four industrial jobs depends on this sector, and the industry won’t survive the next two to three years without substantial damage.

  Emanuel reports on his trip to China and describes the dynamics 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 like 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 he says hinders 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 education to remain competitive in the future.

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

• The New AI Job Lie, China’s Price Crash, Robot Breakthrough, Token Problem & the Agent Economy
  2.6.2026, 15:15:07

  The video covers a variety of topics surrounding artificial intelligence (AI) and its impact on society, economy, and individual life. Here are the main points summarized:

  1. **AI and Society**: The discussion begins with the question of how AI will change society and what social disruptions might result. It is pointed out that AI could lead to a kind of “industrial revolution on steroids,” bringing both enormous productivity gains and social tensions.

  2. **Technological Developments**: Current developments in the AI industry are discussed, including the introduction of new models like Anthropic Opus 4.8, which is described as more honest and error-resistant. The price cuts in Chinese AI models and their strategic implications are also addressed.

  3. **Job Market and Job Losses**: The discussion about potential job losses due to AI is conducted intensively. It is pointed out that many jobs could be replaced by AI, but new opportunities will also emerge. Participants discuss how to prepare for these changes by developing specific skills such as creativity, empathy, and systems thinking.

  4. **Education and Learning**: Another focus is on how education and learning should look in a world with AI. It is emphasized that traditional testing methods like term papers and exams could become obsolete due to AI, but there is still a need to teach practical skills and knowledge.

  5. **Investments in AI**: The discussion covers how investors can invest in AI. It is recommended to invest in tokens, as these promise high returns and the costs of AI applications continue to fall.

  6. **Ethics and Regulation**: The ethical implications of AI are also addressed, particularly the question of how AI should be regulated to avoid negative impacts. It is pointed out that AI should not be trusted blindly and that it is important to understand the limitations and possibilities of AI.

  7. **Future of Work**: Participants discuss what the future of work could look like in a world with AI. It is emphasized that it is important to focus on the impact of one’s own work rather than just the doing. It is recommended to become self-employed and have multiple clients to remain flexible.

  8. **AI and Health**: It is pointed out that AI could make enormous advances in medicine, particularly in the diagnosis and treatment of diseases. It is emphasized that AI can increase human creativity and find solutions independently.

  9. **AI and Education**: The discussion covers how AI can be used in education to promote individual learning. It is emphasized that AI can play an important role in helping children and students develop their skills and knowledge.

  10. **AI and Investments**: It is pointed out that AI requires enormous investments and that it is important to reduce the costs of AI applications to ensure profitability.

  The video explicitly addresses several AI tools and models, including Anthropic (Claude), OpenAI (GPT-5.5, Codex), Gemini, and specific tools like Cloud Code and Cursor. It is aimed at an audience with advanced knowledge of AI and technology.

No Priors: AI, Machine Learning, Tech, & Startups (3 new videos)

• Claude Code can destroy your database
  30.5.2026, 22:35:42

  The video discusses the challenges and risks of Claude Code, particularly the potential dangers of uncontrolled actions such as deleting and recreating databases. While Claude Code offers many benefits, such as saving time for DevOps and platform teams, it can also perform unexpected and dangerous actions that go undetected by conventional API security tools. These tools lack the context to understand the intentions and actions of more flexible and unpredictable systems. Without specific controls designed for such systems, companies must either severely limit their usefulness or risk overlooking dangerous actions.

  The video addresses Claude Code and API security tools in general without naming specific AI tools or providers, and is aimed at intermediate and advanced users working with cloud infrastructure and security.

• 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 that develops 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 offered by Onyx Security.

  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 companies increasingly recognize they don’t have complete control over AI agent adoption, but must take measures 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 represent the fastest-growing category.

  He addresses the challenges existing security solutions face in keeping pace with new risks created by AI agents, emphasizing the need for specialized controls designed for these systems. Kogan also discusses the importance of mechanistic interpretability and the necessity of better understanding 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 companies to prepare for these new risks. Kogan stresses that enterprises should take a nuanced approach to AI adoption based on their risk profile and size.

  Towards 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 addresses AI models and providers such as AutoGPT, OpenAI, Anthropic, and Claude Code and is geared toward intermediate and advanced audiences.

• Baseten: "We've Never Lost Our Top Customers”
  1.6.2026, 20:42:24

  The video discusses strategies and challenges in AI inference and access to compute power. The speaker argues that GPUs as a service are not particularly “sticky” in terms of customer retention, since they are considered a commodity. In contrast, inference bundled with a software layer is highly sticky, as evidenced by strong customer retention and robust growth (400% annual net dollar retention). The software layer is highlighted as critical to success, with optimism centered on building the best software layer for inference. The video also emphasizes that access to inference compute is a strategic advantage that even major labs pursue by retaining control of compute resources.

  The video addresses strategies in the AI sector in general and is geared toward intermediate or advanced audiences.

Nic Conley

No new videos during this period.

Tech With Tim (6 new videos)

• 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 create software products with Claude Code. Key skills in this bundle include 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 recommended at $4 per month. Configuration is done by adding an MCP server and API token to Claude Code.

  3. **Fire Crawl**: Allows crawling and scraping of web pages, extending Claude Code’s standard functionality. Fire Crawl can bypass security features of websites and is more efficient at gathering 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 content. 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 enables connecting various applications like Gmail, Google Drive, and Notion through a centralized platform. This saves tokens and improves accuracy. Installation is done by adding an API key and 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 data access occurs. Installation is done by copying and pasting a command into the Claude Code terminal.

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

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

  The video demonstrates how to do 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 like 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. Next, INS Forge is installed and configured to provide backend functionality. The user creates a plan for the application and instructs the AI agent to build various 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 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 safely and efficiently.

  The video explicitly covers Cursor and INS Forge tools and is more suitable 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 US. It starts with entry-level salaries (0-2 years experience) ranging from $115,000 to $150,000, with total compensation including bonuses and stock potentially reaching $173,000. Mid-level engineers (3-5 years experience) earn between $155,000 and $220,000, with specializations like LLM integration or MLOps enabling higher salaries. Senior engineers (7+ years experience) can achieve base salaries from $200,000 to $312,000, with total compensation often exceeding $400,000, especially at top companies like Google or OpenAI. Factors like 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 covers specific companies like Google, OpenAI, and FAANG companies and targets intermediate to advanced audiences.

• Cursor just crushed Claude Code
  2.6.2026, 11:58:44

  The video shows a comparison between Cursor’s new Composer 2.5 model and other high-quality models like Opus 4.7 and GPT 5.5. The author finds that Composer 2.5 is significantly faster and more cost-effective while delivering similar or even better result quality. The price difference is substantial: Composer 2.5 costs $0.50 per task, while Opus 4.7 costs $7 per task. The author also emphasizes the importance of coding harnesses that improve model performance, highlighting that Cursor offers a particularly effective harness. A live demo shows Composer 2.5 creating a working web application in minutes, while Opus 4.7 and GPT 5.5 take significantly longer and sometimes produce faulty results. The author also uses Here.dot.now for simple and free deployment of created websites.

  The video explicitly covers models and tools Cursor (Composer 2.5, Opus 4.7), OpenAI (GPT 5.5), and Here.dot.now and is more suitable for intermediate or advanced users.

• 5 Machine Learning Skills Interviewers Will Cut You For Not Knowing v2
  2.6.2026, 11:56:18

  The video covers essential skills for machine learning jobs that are tested in interviews. These include ML operations, particularly deployment with Docker, FastAPI, Flask, monitoring, CI/CD, and basic ML pipelines. Working with real-world data is also covered, including data cleaning and parsing. Feature engineering is highlighted as a critical factor for model quality. Versioning, specifically for ML projects, includes Git, GitHub, MLflow, and Weights & Biases for experiment tracking. Cloud platforms like AWS, GCP, or Azure are mentioned as necessary skills, with AWS being recommended.

  The video covers specific tools like Docker, FastAPI, Flask, MLflow, Weights & Biases, AWS, GCP, and Azure and targets intermediate to advanced users.

• The Machine Learning Trap That Wastes Months
  1.6.2026, 12:25:12

  The video warns against a common pitfall when starting machine learning: trying to acquire all theoretical knowledge first before building projects. Many spend months learning complex mathematical proofs like linear algebra without ever training an ML model. The solution is to learn just enough theory to understand the basics, then immediately start with practical application and building projects. Through hands-on programming, problem-solving, and overcoming challenges, you learn much more. If theoretical knowledge falls short at any point, you can always learn it later. The speaker admits to making this mistake himself and emphasizes that it’s better to start building first and learn along the way.

  The video covers general machine learning concepts and is aimed at beginners.

NeuralNine (4 new videos)

• Switch to Linux now!
  31.5.2026, 15:24:45

  The video presents three main reasons why switching to Linux makes sense. First, alternatives like Apple’s expensive ecosystem and Microsoft’s increasingly monitored operating system are criticized, while Linux offers freedom, privacy, and customizability. Second, compatibility and gaming on Linux are no longer obstacles thanks to web-based software and Valve’s support for Steam. Third, Linux promotes independence, especially in Europe, by reducing reliance on foreign proprietary software and strengthening open-source solutions. Switching to Linux is now simple even for non-technical users thanks to user-friendly distributions like Pop OS, Ubuntu, or Mint.

  The video explicitly covers Linux and specific distributions like Pop OS, Ubuntu, and Mint, and is aimed at intermediate users.

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

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

  The main part of the video is a practical course where examples are built and concepts are introduced as they’re needed. It covers various concepts like routing, conditional edges, human approval in the loop, and RAG (Retrieval-Augmented Generation). The course begins with environment setup, including installing Langchain, Langraph, 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 progresses to more complex graphs that include classification nodes, conditional edges, and human approval in the loop. It also demonstrates how to create a custom state and pass information from one node to another.

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

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

• 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 only initialized once when the function is defined and are then reused on every function call. This means that changes to these objects in one call are also visible 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 within the function when it is `None`. For cases where a predefined object (like default equipment) should be used as a default argument, he recommends creating a copy of the object to ensure a new object is used each time.

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

• This tools shows you how much you spend on tokens…
  1.6.2026, 16:00:36

  The video introduces the open-source tool **CC usage**, which analyzes the usage of coding agent CLI tools on your system. It shows how much money you would theoretically spend on API costs, even if you use a subscription. Installation is available through various package managers like Bun X, Nix, PNPM, or AUR (for Arch Linux). The tool provides an overview of input and output tokens, total tokens, and estimated costs in US dollars. You can filter data by provider (e.g., Claude, Codex, OpenCode), time period (daily, monthly), or session. Additionally, the output can be exported as a JSON object, which is useful for automation. An important note is that data is only available locally on the system where the tool runs.

  The video explicitly covers the open-source tools **CC usage**, **Claude**, **Codex**, and **OpenCode** and is aimed at **intermediate** users.

Bart Slodyczka (1 new video)

• Claude Code + LM Studio: FREE Unlimited AI Agents (Don't Pay $200/month)
  31.5.2026, 12:00:10

  The video demonstrates how to use Claude’s new “Dynamic Workflows” feature to deploy up to a thousand agents for complex tasks without needing Anthropic’s paid API or an Anthropic account. Instead, it uses Claude’s gateway version, which allows you to run local AI models directly on your computer. This involves installing Claude’s desktop app and enabling developer mode to provision third-party inference. LM Studio is used as the local model, offering free local AI models for download and use. The process includes downloading a model, setting up the gateway URL, and configuring API keys in the Claude app. Additionally, the video shows how to set up web search functionality by adding an MCP server (e.g., Brave Search). Finally, it demonstrates how to use Claude Code’s “Dynamic Workflows” feature to run up to 16 concurrent agents and a total of 1000 agents per task to handle complex projects.

  The video explicitly covers Claude, LM Studio, and Open Router, and is aimed more at intermediate and advanced users.

AI Explained (1 new video)

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

  The video offers a detailed analysis of Anthropic’s new Claude Opus 4.8, based on a 244-page report, cited papers, and hands-on testing. It presents 15 highlights, including humorous aspects like the suspension of business training due to increased dishonesty, as well as security-relevant points such as the model’s ability to recognize that it’s being tested without revealing this. Opus 4.8 demonstrates improved honesty, but isn’t consistently honest. It outperforms Opus 4.7 in 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 addresses Anthropic’s Claude Opus 4.8, Mythos, and various benchmarks such as Swebench Pro, GPQA, and GDP Valus. It’s better suited for intermediate and advanced users, as it delves deep into technical details and benchmark analysis.

Alex Finn (1 new video)

• 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 costs the same as the previous version. Special emphasis is given to the new features “Dynamic Workflows” and “Ultra Code Mode,” which enable handling complex tasks 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 that is evaluated as a clear improvement over previous versions.

  The video explicitly covers Claude Opus 48 and is aimed more at intermediate to advanced users.

AI Foundations

No new videos in this period.

n8n (2 new videos)

• n8n Community Livestream: Women+ in Automation, Community Challenge & n8n Fest
  May 29, 2026, 04:31:37

  This 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 the help of AI suggestions, and testing the server. The video demonstrates how Cursor can enhance 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
  May 28, 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 reviews and evaluates 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 development begins.

  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 organization. The creator also explains the differences between n8n, MCP, and Skills and how they work together to create a robust system.

  During 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 out the official version of the MCP and Skills to take advantage of these technologies.

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

Greg Baugues

No new videos in this period.

TheAIGRID (4 new videos)

• 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, which were unveiled at I/O 2026. There are two versions: an audio-only version that will launch in the fall with partners like Warby Parker, Gentle Monster, and Samsung, and a display version with a HUD in the lens that is still in prototype phase. The audio glasses offer comprehensive assistance through Gemini without the need to use your hands or look 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 pickup 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 everyday life more convenient.

  The video specifically focuses on Google’s Gemini AI and is geared toward intermediate and advanced audiences.

• 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 such as solving complex mathematical problems, are still far from true AGI. AGI requires not just the ability to handle specific tasks, but also broad cognitive capabilities like creativity, reliability, and deep understanding of the world.

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

  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 AGI debate is not merely academic but has practical implications for AI implementation, regulation, and assessment.

  Final note: The video covers 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, with Omni Flash highlighted as an improved model over 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 shows advanced features such as adding text or logos to objects, creating explainer videos, and combining different inputs for varied results. It points out limitations when depicting real or copyrighted characters and presents hidden features like converting sketches into realistic videos and using storyboards to control scene sequences.

  The video specifically covers Google Omni, Gemini, and Google Flow and is aimed at intermediate to advanced users.

• Nvidia Just Introduced 4 New Stunning AI Updates
  2.6.2026, 11:45:10

  The video summarizes Nvidia’s major announcements from GTC Taipei. First, Neotron 3 Ultra was introduced, an open AI model with 550 billion parameters based on a hybrid Mamba-Transformer architecture. It is five times faster and 30% cheaper than other leading open models. Nvidia emphasizes the openness of the model, including training data and scripts, to enable developers to adapt and improve it.

  Nvidia also presented the new Vera CPU, specifically developed for the era of AI agents. Vera offers up to 3.6 terabytes per second of internal throughput and is designed to maximize GPU efficiency. The CPU is equipped with the Olympus core and uses LPDDR5X memory for lower latency and higher bandwidth.

  In the area of physical AI, Cosmos 3 was introduced, an open-world foundation model that helps robots and autonomous systems understand and predict the real world. Cosmos 3 is based on a new blend of Transformer architectures and offers both nano and super models for different use cases.

  Finally, Nvidia, in collaboration with Microsoft, announced RTX Spark, a super-chip that combines a Blackwell-RTX GPU with 6,144 CUDA cores and a 20-core Grace CPU. This chip is intended to revolutionize personal computing by running AI agents locally and ushering in a new era of personal computing.

  The video specifically covers Nvidia’s Neotron 3 Ultra, Vera CPU, Cosmos 3, and RTX Spark and is geared toward intermediate and advanced audiences.

Theo – t3․gg (6 new videos)

• AI code benchmarks lied to us
  31.5.2026, 08:31:09

  The video discusses the reliability and relevance of benchmarks for AI models in software development. The speaker criticizes existing benchmarks like SWEBench Pro for their lack of real-world relevance, contamination from leaked solutions, and insufficient verification methods. He introduces a new benchmark called DeepSWE, developed by Data Curve, which uses more realistic, hand-written verifications and newly formulated tasks without predefined solutions. The results show a clear superiority of OpenAI models (particularly GPT-55) compared to other models like Anthropic’s Opus or Gemini 35 Flash. The speaker emphasizes the importance of realistic benchmarks for evaluating the actual performance of AI models in software development and encourages developers to create their own benchmarks to better understand and compare models.

  **AI Tools/Models/Providers:** OpenAI (GPT-55, GPT-54), Anthropic (Opus 47, Opus 46), Gemini 35 Flash, DeepSeek V4, GLM 5.1, Haiku, MiniAx, Cursor, Claude, Codeex, Gemini CLI, Cloud Code, Mini SWE Agent.
  **Target Audience:** Intermediate to Advanced.

• 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 results, particularly on SWE Bench Pro, but worse results on Terminal Bench 21.
  – The model is more honest and less lazy than previous versions, leading to better and more thorough responses.
  – 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 issues with the CLI.
  – 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 Myth.

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

• 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 computing capacity availability and the strategic decision to invest less in future compute capacity than OpenAI. The video argues that Anthropic achieved a critical breakthrough with the introduction of Opus 45, which revolutionized expectations and the adoption of AI models 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 discusses Anthropic, OpenAI, AWS, Google Cloud, Azure, Claude, Opus, and is aimed at Intermediate or Advanced users.

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

  The video shows a detailed revision of the author’s workflow when building with AI tools, particularly in comparison to his earlier approach. Here are the main points:

  1. **Workflow Changes**:
  – The author completely revised 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 for too long to avoid conflicts and outdated changes.

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

  **Closing Comment**: The video explicitly discusses OpenAI (GPT-5.5), Codex, T3 Code, and various harnesses. It’s aimed at Intermediate to Advanced users who already have experience with AI tools and want to optimize their workflow.

• Your prompts are tech debt.
  3.6.2026, 00:06:00

  The video discusses the topic of “Technical Debt” and expands it to include the new aspect of “Prompt Technical Debt”. The speaker emphasizes that technical debt is a long-standing problem in software development and can be both worsened and alleviated by AI. He explains that prompts can also represent technical debt because they are complex, difficult to maintain, and prone to becoming outdated, especially with model updates. The speaker mentions various tools and approaches, such as AgentMD, ClaudeMD, and T3 Code, and emphasizes the importance of keeping prompts minimal and specific to avoid technical debt. He recommends using pre-built AI tools from third parties and leaving them as unconfigured as possible to benefit from the work of teams who continuously adapt the prompts.

  The video explicitly discusses tools like Cursor, Claude, OpenAI, Gemini, T3 Code, and ArcJet, and is aimed at Intermediate to Advanced developers.

• I hate that this is true
  1.6.2026, 08:38:00

  **Summary:**

  The speaker discusses the impact of AI on engineers, particularly those considered “less skilled”. He argues that AI makes these engineers less harmful by making better technical decisions and improving the quality of their work. He compares this to situations where experienced engineers are often frustrated when working with less competent colleagues. The speaker emphasizes that AI can significantly increase the productivity and quality of work of less experienced engineers while also shortening the learning curve.

  He also mentions challenges in integrating AI into existing systems and emphasizes the importance of agents capable of logging into various services. He praises the company Work OS for its solution that allows agents to log into web services, emphasizing that this is an important step for the future of software development.

  The speaker also addresses the different types of engineers who can benefit from AI, emphasizing that motivated and learning-ready engineers will benefit most, while those unwilling to develop further will face difficulties in the future. He concludes with a call to the viewers to seize the opportunity and continuously learn and develop.

  **Closing Comment:**

  The video explicitly discusses Claude, OpenAI, and specific tools like Work OS. It’s aimed at Intermediate and Advanced users.

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 shows how to use the open-weight model Minimax M2.7 with Claude Code to create a Reddit clone app. The author explains the setup, including API key configuration and plan selection. Minimax M2.7 is presented as a cost-effective alternative to Claude Opus that delivers similar performance and quality. The process involves using Claude Code in various modes like planning, modification, and agent view to develop and test the app. The author emphasizes the model’s efficiency and speed as well as the possibility of using detailed prompts to optimize usage. Additionally, Minimax M2.7’s unique training methodology is explained, where the model was involved in its own further development.

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

• Claude Code + Higgsfield: Animated Websites Are Here
  2.6.2026, 11:57:56

  The video demonstrates how to combine Claude Code with Higgsfield AI to create and integrate an animated avatar on a landing page. Leon starts with a simple, static website layout and guides the viewer through the steps of generating an avatar image with Higgsfield, animating it, and finally embedding it into the website. The Higgsfield CLI is installed and authenticated through an agent capability in Claude Code. Using a detailed prompt, Claude Code generates four variants of a friendly robot, one of which is selected and inserted into the website. The avatar is then animated with Higgsfield AI and the C-Tons 2 model, adding subtle breathing and head movement as well as occasional blinking. After some adjustments, such as correcting the aspect ratio and background color, the video is embedded into the website and the audio is removed. Finally, minor improvements are made to the website to better integrate the avatar and verify responsiveness.

  The video explicitly focuses on Claude Code and Higgsfield AI and is more suitable for intermediate users.

Tim Carambat (3 new videos)

• 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 loss of quality. He compares the performance of the binary and ternary versions of the model with the quantized version on Ollama as well as 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 concludes that the ternary version represents a practical solution for local image generation. He closes 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

• 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 data center construction in the USA, particularly in Louisiana. He begins with a critical look at relationships between hyperscalers like Coreweave, hardware suppliers like Nvidia, and major AI labs like OpenAI and Anthropic. Carenbat questions the transparency and feasibility of the announced capacities of these data centers, 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 that proposes installing 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 a project by Applied Digital 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 are ultimately borne by taxpayers.

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

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

• NVIDIA Just Put a 1-Petaflop Supercomputer In a Laptop?
  1.6.2026, 18:17:55

  The video covers the announcement of the Nvidia N1 and N1X platform, which were presented at the Computex event. Timothy Garenbat, founder of Anything LLM, shares his thoughts on these devices, which will come to market as laptops with Nvidia’s GB10 superchip. The devices will be available through OEMs like Surface and Dell and enable loading and running large language models locally. Garenbat discusses the technical specifications, particularly the ability to run models with 120 billion parameters and a million context tokens, and compares the N1 and N1X with the already available DGX Spark. He highlights the benefits of local AI usage but also warns of challenges associated with Windows on ARM, particularly for developers. Garenbat speculates about the price of the devices and their market positioning, but emphasizes that they shouldn’t be seen as direct competition to Apple devices. He concludes with hope that the devices will be a good platform for local AI applications and asks the audience for their opinion.

  The video explicitly addresses Nvidia N1 and N1X, DGX Spark, Windows on ARM and is intended more for intermediate and advanced users.

WorldofAI (6 new videos)

• 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 key updates are:

  1. **Tool Search**: A progressive loading function for tools that are loaded only on demand to optimize context window usage and accelerate agent responses.
  2. **Agent Swarm System**: Enables the division of tasks into specific subtasks that are processed in parallel by multiple agents.
  3. **Codebase Refactoring**: The core agent loop was reduced from over 16,000 to approximately 3,800 lines, making maintenance and expansion easier.
  4. **MCP Catalog**: A centralized catalog for 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, Netify integration, and improved cold start performance.

  The video specifically addresses Hermes Agent (open-source) and is more suitable for intermediate to advanced users.

• 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, positioned as an incremental improvement over Opus 4.7. Key improvements include sharper judgment, better honesty in task completion, and improved performance in long-term agentic workflows. Particularly noteworthy is the significant improvement on Swaybench Pro, where Opus 4.8 increased from 64% to 69%. However, on other benchmarks such as Agentic Terminal Coding and OS World, OpenAI’s GPT 5.5 continues to lead. Opus 4.8 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 for task completion, improving control over latency, costs, and token usage. The video also shows practical examples, such as creating a functioning 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 Claude Mythos, Anthropic’s not-yet-officially-released AI model. The creator shows leaked examples, including a pie art generation of a Saturn spacecraft 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 creator speculates that Mythos may be released within the next three months, as Anthropic has changed its stance on releasing models. Additionally, the usefulness of Open Router for comparing different AI models is highlighted, particularly for frontend design tasks. The creator shows a comparison between Claude Opus 4.7 and Gemini 3.5 Flash and emphasizes the advantages of Open Router’s SDK for integrating different models into applications.

  The video specifically addresses Claude Mythos, Claude Opus 4.7, Gemini 3.5 Flash, and Open Router and is more suitable for intermediate and advanced users.

• Gemini 3.5 Pro X-High, MiniMax M3, DeepSwe, 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 reportedly plans an update for the Gemini 3.5 series, including a new “X high thinking” variant that should offer improved 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 10x faster context processing and 15x faster decoding speeds. Anthropic is preparing four new Claude Lab products or features, indicating 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 show progress in handling 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 were introduced. Figure AI has announced a commercial agreement with Catalyst Brands for the deployment of humanoid robots in logistics and warehousing.

  The video specifically addresses Google (Gemini), Minimax (M3), Anthropic (Claude), Xiaomi (MiMO), OpenAI (GPT-5.5), and specific tools such as Claude Code, React Doctor, and Figure AI. It is more suitable for intermediate and advanced users interested in technical details and market developments in the AI field.

• GPT 5.5 vs Opus 4.8 vs Gemini 3.5 – Which Model Should You Use?
  2.6.2026, 07:35:39

  The video compares various AI models, particularly OpenAI’s GPT 5.5, Anthropic’s Claude Opus 4.8, and Google’s Gemini 3.5 Flash, as well as open models such as Minimax M3, based on their performance in various areas such as software development, frontend design, agentic workflows, and more. GPT 5.5 is highlighted as the most consistent and reliable model for complex coding tasks and agentic workflows, while Claude Opus 4.8 is praised for its design talent and Gemini 3.5 Flash for fast and cost-effective iterations. The creator also introduces his own benchmark tool that allows users to evaluate models based on specific tasks and domains. The tool is available for $12 per month (or $10 with annual subscription) and offers access to an extensive prompt library and evaluation criteria.

  The video specifically addresses OpenAI (GPT 5.5), Anthropic (Claude Opus 4.8), Google (Gemini 3.5 Flash), and open-source models (Minimax M3) and is more suitable for intermediate to advanced users.

• MiniMax M3 IS INSANE! BEST Opensource AI Model! Beats Opus 4.7 and 50x Cheaper! (Fully Tested)
  1.6.2026, 07:36:37

  The video introduces the latest version of Minimax, the M3, which is the first open-source model to combine three top-tier capabilities in a single model. The M3 offers top performance in areas such as coding, multimodal reasoning, and long-term workflows, and at a fraction of the cost of proprietary models. The model supports up to one million tokens in the context window and was trained as multimodal from the start, which shows in impressive visual reasoning tasks. In benchmarks, the M3 surpasses both GPT-5.5 and Gemini 3.1 Pro in several categories and comes close to Opus 4.7. Practical applications demonstrate its ability to autonomously handle complex tasks such as optimizing CUDA kernels. The M3 is accessible via the Minimax API, the M-Code platform, and Open Router, with a current promotional pricing running that significantly reduces input and output token costs. The video also shows practical tests of the M3 in areas such as frontend development, 3D development, and SVG coding, with the model delivering excellent results across all areas. The M3 is described as one of the most impressive model releases of the year, particularly due to its coding performance and cost-effective pricing.

  The video specifically addresses Minimax M3, an open-source model, and is more suitable for intermediate to advanced users.

AI and Strategy | Le SamourAI

No new videos in this period.

Matt Pocock (1 new video)

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

  The video shows the author testing a template for a “thermonuclear code-review” skill that he found from the Cursor team. The skill is designed to perform thorough code quality reviews, 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 presents 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 suggests shortening and focusing the skill.

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

Coding with Lewis (4 new videos)

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

  This video explains the significance 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 confusing. Gruber designed Markdown as a lightweight syntax that remains readable even in raw format. The original specification was flexible, which led to various tools like GitHub, Stack Overflow, and Reddit developing their own interpretations and extensions. In 2014, there was an attempt to standardize Markdown under Common Mark, but Gruber rejected this as he preferred flexibility. Today, Markdown is widely used in developer documentation, blogging platforms, note-taking apps, and chat systems.

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

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

  This video covers the acquisition of Sun Microsystems by Oracle in 2010 and the resulting crisis for the open-source office suite OpenOffice. The developer community feared for the future of the project, as Oracle had a reputation for proprietary software. In response, the community forked OpenOffice and founded the Document Foundation, which launched LibreOffice. Oracle attempted to hinder LibreOffice’s development by requesting 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 makes it possible to continue working with the code when needed.

  **Final comment:** This video covers open-source projects like LibreOffice and OpenOffice and is better suited for intermediate and advanced learners.

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

  This video tells the story of the Java programming language, which was 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 managed memory automatically and was platform-independent. When the TV project failed, Sun recognized the potential of Oak for the emerging World Wide Web. The language was renamed to 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 key lesson is that technologies often find the market they need.

  This video covers the historical development of Java and is better suited for intermediate and advanced learners.

• The Biggest Rugpull in Programming History
  1.6.2026, 16:41:42

  This video addresses the controversy surrounding Terraform, an infrastructure-as-code tool that was free and open source for nearly a decade. In August 2023, HashiCorp, the developer of Terraform, switched to a Business Source License, making it impossible for competitors to use Terraform for commercial products. In response, developers forked Terraform and launched Open Tofu under the Linux Foundation. The reason for the license change was that companies were using Terraform to offer their own services without contributing anything back to the central repository. However, the timing of the license switch was criticized as HashiCorp jeopardized its reputation as an open-source-friendly company. Eight months after the license change, HashiCorp was acquired by IBM for 6.4 billion dollars, which some interpreted as preparation for the sale. The video emphasizes that open-source loyalty is fragile and a license change can prompt the community to rebuild the project without the original developer.

  This video covers Terraform, Open Tofu, and the role of open source in software development and is better suited for intermediate and advanced developers and tech enthusiasts.

Julian Goldie SEO (10 new videos)

• NEW MiniMax M3 is INSANE! (FREE)
  3.6.2026, 05:00:12

  The video introduces the new AI model MiniMax M3, which according to the speaker could revolutionize the SEO industry. M3 can write code, read entire websites at once, and analyze images. The model weights are open, meaning it can be self-hosted. In a coding test, M3 performed better than GPT 5.5, though not quite as well as Claude. The video demonstrates various applications for SEO, such as writing code, conducting SEO audits, and creating content. It emphasizes that while M3 is not perfect, it is one of the most exciting open AI models of the year. The speaker offers a free SEO strategy session to help improve Google rankings.

  The video explicitly addresses the MiniMax M3 AI model and is geared more toward intermediate and advanced users.

• New FREE Google AI Marketing Agent (Pomelli)
  3.6.2026, 04:00:33

  The video introduces the new free Google tool “Pameli,” which helps create a complete brand identity in minutes. This includes websites, photos, and ads. The process begins by defining the “Business DNA,” which establishes the company’s fonts, colors, and style. This can be done by inserting an existing website or uploading photos that represent the brand. Pameli then automatically generates a website, creates photoshoots from a single image, and develops advertising campaigns. The tool allows users to make changes through simple voice commands without any coding knowledge required. Additionally, Pameli provides a central asset library and a brand book that summarizes brand guidelines.

  Pameli is explicitly featured, and the video is geared more toward intermediate and advanced users who want to quickly and efficiently build their brand presence.

• Claude Code is now FREE: Here’s how…
  3.6.2026, 03:00:40

  The video explains how to use Claude Code for free. Claude Code enables users to create and edit code through simple English descriptions. An open-source version called Free Claude Code can be used with various models, including free ones. By integrating a free model with a 1-million-token context window designed for agents, you can experience the full Claude Code capability for free. The system becomes even more powerful when embedded in Agent OS, a dashboard solution that connects Claude Code with your own memory, notes, and other AI agents. By integrating with Obsidian, the system can store information and becomes smarter over time. As new free models are released regularly, this combination becomes increasingly powerful.

  The video explicitly addresses Claude Code, Free Claude Code, Agent OS, Obsidian, and open-source models and is geared more toward intermediate and advanced users.

• 20 Years Of SEO Just Ended, Here’s Why…
  3.6.2026, 02:00:41

  The video demonstrates a system for ranking first in Google and AI search engines by combining Hermes and Claude. The creator shows how he ranks first for various keywords using this system, both in traditional Google search and in AI mode. He explains that traditional search with 10 blue links will disappear and be replaced by AI-generated answers synthesized from multiple sources. To rank in this new era, it’s crucial to be cited as a source and have a presence on multiple platforms.

  The creator demonstrates how he uses an agent operating system (Agent OS) to create and publish content for keywords across multiple platforms, including images, videos, and blog posts. He uses tools like Hermes and Claude to quickly generate and optimize content. He also shows how this system allows rapid website creation and simultaneous content publishing across multiple sites. Another advantage is that the content is personalized and unique, based on his personal information and case studies.

  The creator emphasizes that it’s no longer just about ranking first on Google, but about being cited as a source in AI searches. This requires a presence on many platforms, which he refers to as “omnipresence.” He demonstrates how his system builds authority by publishing content across different platforms, thereby improving visibility and rankings. He also stresses that this system works even for people without technical knowledge, and that he has seen many successes in his community.

  Finally, he offers access to the complete Omnipresence Engine system in the AI Profit Boardroom, along with the agent operating system. He invites viewers to sign up for a free SEO strategy session to learn more about his methods.

  **Final comment:** The video explicitly addresses Claude, Hermes, and specific tools like Hyperframes and Ultra Code. It’s designed more for intermediate and advanced users.

• Hermes Agent Desktop vs Agent OS: Which Wins?
  3.6.2026, 01:00:15

  The video compares the new Hermes Desktop app with an Agent Operating System (AOS) and evaluates which option is better suited for managing AI agents. The Hermes Desktop app is an official desktop application specifically designed for deploying the Hermes agent. It offers basic features like artifact management and customization of settings and appearance. However, it is limited to the Hermes agent and offers no capability to manage or orchestrate multiple agents simultaneously.

  In contrast, an Agent Operating System enables management of multiple AI agents like Claude, OpenClaw, Hermes, and Gemini in a centralized dashboard. It offers greater flexibility and customization options, including integration of new tools and creation of custom workflows. The AOS also enables multiple agents to collaborate as a team, which is portrayed as forward-thinking.

  The main advantages of an AOS are the ability to respond faster to new developments, greater adaptability, and integration of various tools in a centralized dashboard. The Hermes Desktop app is rated as less flexible and less powerful, particularly for users who want to manage multiple agents simultaneously.

  The video concludes with a recommendation to use an Agent Operating System for advanced users who want to manage multiple agents and custom workflows, while the Hermes Desktop app could be suitable for beginners seeking a simple and specific solution for the Hermes agent.

  **Final comment:** The video explicitly addresses Hermes Agent, Claude, OpenClaw, Gemini, and is geared more toward intermediate to advanced users.

• NEW Hermes Desktop App is Insane (FREE)!
  3.6.2026, 00:06:44

  The video introduces the new desktop version of Hermes Agent, an open-source AI agent now available on Windows, Linux, and Mac OS. The app offers persistent memory features, internet browsing capability, isolated sandboxing, and the ability to handle multiple tasks simultaneously. The host demonstrates installation, the user interface, and various features such as pinning sessions, changing models and settings, customizing appearance, and managing APIs. He also shows integration of voice features and management of skills and tools. Critical points include the lack of file preview functionality and incomplete session synchronization. The host compares Hermes Desktop with other alternatives like Agent OS and emphasizes that while Hermes Desktop is an improvement over the terminal version, it does not offer the full functionality and customization options of an agent operating system. He recommends using Hermes Agent for specific tasks, but suggests using multiple agents in an operating system for more comprehensive control.

  The video explicitly addresses Hermes Agent and is geared more toward intermediate and advanced users.

• Minimax M3 + Hermes + Ollama is INSANE!
  2.6.2026, 22:00:35

  The video presents a combination of three free tools that together can form an independent AI workforce: MiniMax M3 as the “brain,” Ollama as the “power supply,” and Hermes Agent as the “worker.” MiniMax M3 can process one million words simultaneously, is capable of analyzing images and videos, and performs well against paid models in tests. Ollama allows you to run MiniMax M3 on your own computer without external data storage. Hermes Agent can execute tasks, learn from experiences, and notify the user via message. Together, they form a system that can work independently, learn, and inform the user without constant intervention. For example, you could instruct Hermes Agent to analyze new community posts daily and generate tutorial ideas from them. The video emphasizes that this technology is available now and that users who learn it now will have an advantage over those who wait. It also references the AI Profit Boardroom and AI Success Lab, where users can receive support and guidance.

  The video explicitly addresses the AI models and tools MiniMax M3, Ollama, and Hermes Agent and is geared more toward intermediate and advanced users.

• NEW Gemini Updates are WILD! 🤯
  2.6.2026, 20:00:11

  The video presents the latest updates to Google Gemini, which transform the tool from a simple chatbot to a proactive AI agent. The five main updates include:

  1. **Neural Expressive**: A new design language with dynamic visual elements, interactive PDFs, timelines, and videos that replace text-heavy responses.
  2. **Gemini Spark**: An AI agent that runs in the background and autonomously handles tasks like email management, document creation, and follow-ups, even when the device is closed.
  3. **Daily Brief**: A personalized summary of key tasks and information for the morning that sets priorities and suggests next steps.
  4. **Omni**: A tool for creating and editing videos directly in Gemini.
  5. **Flash**: An acceleration of Gemini’s processing speed.

  The video emphasizes that these updates can significantly change the way people work by providing proactive support and saving time. It notes that these tools are already available and their use can provide a competitive advantage.

  Final comment: The video explicitly addresses Google Gemini and is geared more toward intermediate and advanced users.

• NotebookLM’s New Use Cases Are INSANE!
  2.6.2026, 18:00:31

  The video presents the new features and use cases of Google’s Notebook LM, a tool that analyzes sources like PDFs, notes, and YouTube videos and generates various content from them. The main features include:

  1. **Audio Overview**: Creates a podcast with two AI hosts discussing the content. In the interactive version, users can ask questions and receive immediate answers.
  2. **Video Overview**: Converts sources into animated videos available in different styles, such as Blueprint or Watercolor.
  3. **Infographics**: Creates customizable infographics in 10 different styles to present key points visually.
  4. **Presentation Slides**: Generates and allows editing of slides that can be exported as PowerPoint.
  5. **Data Tables**: Extracts and converts data from documents into clean tables that can be transferred directly to Google Sheets.
  6. **Learning Tools**: Creates mind maps, quizzes, and flashcards to facilitate learning.
  7. **Custom Instructions**: Allows users to control AI behavior through specific instructions that influence all generated content.

  A special example is the summary of Google I/O 2026, compiled in a single Notebook LM notebook, allowing users to review the entire event in under 2 minutes. The video emphasizes the integration of Notebook LM with Gemini and the availability of a mobile app that facilitates usage.

  The video explicitly addresses Google’s Notebook LM and Gemini and is designed for intermediate users who want to leverage the tool’s diverse applications.

• Claude Opus 4.8 + Gemini 3.5 Flash Is INSANE!
  2.6.2026, 16:00:29

  The video shows how to combine the two AI models Claude Opus 4.8 and Gemini 3.5 Flash to create an SEO tool without programming knowledge. Claude Opus 4.8, released by Anthropic on May 28, 2026, is particularly strong in in-depth analysis, coding, and long-term tasks. It is also more honest than other models and can identify potential code errors. Gemini 3.5 Flash, released by Google on May 19, 2026, specializes in speed and can quickly analyze large amounts of data and identify patterns.

  The process begins with using Claude Opus 4.8 as an SEO strategist to conduct comprehensive research. Next, Gemini 3.5 Flash is used to develop concrete SEO workflows from the research. In a third step, Gemini selects the most promising concept and develops it into a complete system. Claude Opus 4.8 then takes over design and development by writing the entire code. The end result is a functioning SEO tool customized to the needs of the AI Profit Boardroom.

  The video emphasizes the synergy between the two AI models and how they work together to advance a complex project from idea to implementation. It also notes that SEO tools alone are insufficient; a strong SEO strategy is also necessary to actually generate more traffic and leads.

  **Final comment:** The video explicitly addresses Claude Opus 4.8 and Gemini 3.5 Flash and is geared more toward intermediate to advanced users who already have foundational knowledge in SEO and AI applications.

Kyle Balmer | AI with Kyle (9 new videos)

• How to Use Codex Pulses (and Delete Your To-Do App)
  1.6.2026, 05:00:14

  The video “This is AI with Kyle” introduces the concept of “Codex Pulses,” inspired by Dan Shipper. Codex Pulses are specific threads within Codex designed to organize tasks, ideas, and notes. Kyle demonstrates how he uses various pulse threads like “Content,” “To-dos,” “Things to buy,” and “Questions” to boost his productivity. Each thread has specific functions, such as capturing ideas through voice recordings, prioritizing tasks, or automatically researching and shopping. The pulse threads sync across the Codex mobile app with a central computer and provide daily summaries. Kyle emphasizes that this system is simpler and more focused than OpenClaw, as it handles specific tasks and requires less maintenance.

  The video explicitly discusses Codex and the Codex mobile app, which are used to implement the pulse threads. It targets intermediate users who are already familiar with AI tools and want to optimize their productivity.

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

  The video discusses Google’s announcement of Spark and speculation that this could signal the end of OpenClaw and similar projects. The presenter emphasizes that OpenClaw and comparable projects like Claude from Anthropic and OpenAI are characterized by their persistence and proactivity, continuously working rather than waiting for constant user commands. Google Spark could make these functionalities accessible to a wider audience, given Google’s enormous reach. However, the presenter warns against premature celebrations 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.

  **Closing comment:** The video discusses Google Spark, OpenClaw, Claude from Anthropic, and OpenAI, targeting an intermediate audience.

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

  The video addresses AI’s impact on employment, emphasizing that it’s not about sudden job losses but rather subtle changes. The speaker explains that every job consists of various tasks that are differently affected by AI. 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, stressing the importance of skills like empathy and emotional intelligence that AI cannot easily replace. The video targets intermediate and advanced users.

  The video explicitly discusses 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 ones, particularly entry-level positions. The mechanism is subtler than the direct replacement of employees with AI systems. Instead, AI will result in fewer new jobs being created, which is particularly problematic for younger people. Already, there is declining global job creation and intense competition for entry-level positions, a trend expected to worsen.

  The video discusses AI in general without naming specific tools or models, targeting a broader audience interested in AI’s labor market effects, thus leaning toward intermediate or advanced viewers.

• AI 101: Tokens, Context Windows & Why AI Makes Dumb Mistakes Explained
  3.6.2026, 05:00:18

  The video provides an introduction to tokenization, fundamental to understanding Large Language Models (LLMs). It explains that tokens are the smallest units LLMs work with, and these tokens don’t always correspond exactly to words. The host demonstrates this using tools like Tiktokenizer and OpenAI’s tokenizer to show how sentences are split into tokens. It emphasizes that one token roughly equals three-quarters of an English word and that tokenization depends on language, with English being particularly token-efficient.

  A central theme is the “Raspberry Problem,” where the model splits the word “Raspberry” into three tokens, causing errors because it doesn’t recognize the entire word as a unit. The host also explains the importance of context windows, which represent a model’s working memory capacity, and how context compaction works to improve efficiency. It notes that larger context windows aren’t always better, as they lead to higher costs and less precise results.

  The video covers practical aspects such as token costs when using APIs and the importance of selecting the right model and the right amount of context for specific tasks. It recommends using the smallest useful context window and feeding models relevant information, not all available data.

  At the end, rules for efficiently using LLMs are summarized, and Andrej Karpathy’s resources are referenced for in-depth LLM explanations.

  The video explicitly discusses OpenAI, Claude, Gemini, and specific tools like Tiktokenizer and Artificial Analysis, and is intended for intermediate and advanced users.

• There is a story going around that a company accidentally spent half a billion dollars on AI credits
  2.6.2026, 13:42:33

  The video discusses a recent report claiming that a company accidentally spent $500 million on AI credits because it hadn’t set spending limits when using Claude Code. The video creator questions the credibility of this story, as such a financial mistake at a large company would likely attract more attention. Additionally, it seems unlikely that neither engineers nor accounting would allow such an uncontrolled expenditure. The author suspects the story might be exaggerated or false, as it fits the narrative of AI critics claiming AI is more expensive than human labor. Nevertheless, he acknowledges that using AI tools like Claude Code at scale can become very costly.

  The video explicitly discusses the AI model Claude and is intended for intermediate or advanced viewers, as it addresses financial and technical aspects of AI usage.

• Claude Opus 4.8 is good
  1.6.2026, 14:44:27

  The video discusses the release of the new Claude model Opus 4.8, which the user has tested extensively. While the model performs well, its high cost makes it difficult for users on free or cheaper plans to access. The user notes an exaggerated negative reaction to the model that he believes is unjustified. He argues that the significance of individual models is increasingly diminishing, while integration into various platforms and tools is becoming more important. ChatGPT’s Code-X feature is highlighted as particularly outstanding and has reportedly been copied by Google. The user concludes that future models will only receive special attention if they represent significant progress.

  The video explicitly discusses the new Claude model Opus 4.8 and is intended for intermediate or advanced users.

• Learn how to teach AI to businesses and earn $1000/hour
  1.6.2026, 12:41:54

  Without knowing the exact content of the YouTube video, I cannot provide a specific summary. Please share the title or a brief description of the video so I can write a precise summary for you.

  For example, if the video presents 5 tips for the productivity tool “Notion,” the summary might look like this:

  “The video presents five tips for using Notion more efficiently. These include creating databases with relational links, using formulas for automatic calculations, customizing views for different users, leveraging integrations with other tools, and creating templates for recurring tasks. Relational links and formulas are particularly useful for enabling complex data structures and calculations.”

  **Closing comment:** The video discusses Notion and is suited for intermediate users who already have foundational knowledge and want to boost their productivity.

  Please provide me with more details so I can create an appropriate summary.

• Everyone says not to worry because AI will create new jobs
  1.6.2026, 11:46:56

  The video discusses the widespread assumption that artificial intelligence will replace jobs but also create new ones, similar to past technological advances. The profession of “human computer” is cited as an example—it became obsolete through mechanical and electronic calculators, while new professions emerged. However, there is a critical difference with AI: it can not only create new jobs like workflow coordinators or agent managers but can immediately perform these tasks itself. This is a new phenomenon, as AI can design jobs in a way that allows it to efficiently take over.

  Closing comment: The video discusses general AI developments and is intended for an intermediate audience.

David Shapiro (1 new video)

• The last 300 days of work? (No, but…)
  31.5.2026, 13:07:59

  The video discusses the rumor that we’re in the last 300 days of work, which was spread by Kevin Roose, a tech journalist, on Twitter. The speaker questions the credibility of this claim and analyzes its possible origins and implications. He argues that although AI technologies like Claude and Gemini have already made significant progress and are boosting productivity in many areas, the full integration and acceptance of these technologies in society will take much longer than 300 days. The speaker emphasizes that there are multiple adoption curves, both at the level of the AI models themselves and among end users and companies implementing these technologies. He references his own experiences in large enterprises and the challenges associated with introducing new technologies in established systems. He also discusses the fear and resistance many workers have toward AI and the slow decision-making processes in large companies. The speaker concludes by noting that while the long-term impacts of AI could be revolutionary, short-term expectations are often overstated.

  The video explicitly features the AI models Claude and Gemini as well as AI integration in tools like Canva and Slack. It’s aimed at intermediate and advanced viewers, as it provides detailed insights into the technology and its implementation.

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

• This is how AI agents actually take over enterprises #ai #business #tech
  1.6.2026, 03:00:03

  The video describes the development and integration of AI agents within an enterprise, functioning as an institutional knowledge layer. In the first month, agents are intelligent but generic, similar to a talented new employee who can read the wiki. After three months, agents have processed hundreds of code reviews and architectural discussions, synthesizing knowledge across departmental boundaries. After six months, agents know things no single person knows, connecting decisions across teams in ways that would never surface in normal human workflows. Agents are likely learning even faster. Once the deployment matures, whether in a few months or just days, the enterprise effectively has a network of agents functioning as an institutional knowledge layer. New engineers might need weeks to onboard, but agents could be productive in days, accelerating and guiding work across the entire organization.

  The video addresses generic AI agents and is intended for intermediate or advanced viewers.

• Microsoft Says 86% Treat AI Output as a Starting Point. Your Resume Just Stopped Working.
  31.5.2026, 17:00:39

  The video discusses challenges and solutions in handling AI-generated content in professional contexts. Microsoft research shows that 86% of users treat AI output as a starting point rather than a final product, changing how quality and productivity are evaluated. The core point is that AI makes it possible to appear productive without actually making sound decisions. The speaker argues that traditional evidence like memos or projects is no longer sufficient to demonstrate human judgment. As a solution, he proposes using whiteboard sessions to make thinking processes visible. This should cover four key areas: situation, decision, risk, and change. This method helps prove work quality and is particularly valuable in collaboration with others. The speaker emphasizes the importance of “talent boards” to document these thinking processes for job applications or promotions. He recommends forming clear opinions early in a new role and discussing and refining them in whiteboard sessions with experienced colleagues. The video is suitable for intermediate and advanced users and doesn’t cover specific AI tools or models.

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

  The video discusses challenges and requirements for autonomous agents performing 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 uncertain organizational contexts.

  Agent success depends on four key competencies: better information retrieval, smarter reasoning, more coherent memory, and the ability to connect these competencies. These capabilities reinforce each other and contribute to increasing 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 isn’t just a better tool, but a new layer in enterprise architecture.

  The video addresses general concepts and technologies in autonomous agents and AI systems without mentioning 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 manages to make enterprise-scale context usable at a trillion-token scale—storing it, retrieving it, analyzing it, 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 and become a new enterprise data platform. The video builds on 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 intended for intermediate or advanced viewers.

• AI didn't fix your meetings, it broke your team size #productivity
  3.6.2026, 03:00:11

  The video argues that five highly competent people using artificial intelligence can be more effective than ten specialists in narrow fields. These five generalists, called “architects,” can expand their reach through AI and use each other as a corrective against AI errors. The crucial point, however, is human review, since every AI output requires human judgment to validate. In a team of five people, each can review a manageable amount of output within a coherent shared context.

  The video addresses general AI applications and is intended for intermediate and advanced users.

• AI didn't fix your meetings, it broke them #management #ai
  3.6.2026, 00:00:28

  The video discusses the importance of quality and correctness in developing products or solutions, particularly in the context of innovation and customer value. It emphasizes that it’s not just about delivering something quickly, but ensuring it’s architecturally sound, strategically coherent, customer-focused, and free from subtle errors that could grow into larger problems in production. A 2025 Harvard Business School study is cited showing that teams using AI produce ideas at the highest quality level (top 10%) three times more often. Importantly, it’s not about the quantity of outputs but about the quality and correctness of results.

  The video addresses AI generally without mentioning specific tools or models and is aimed at intermediate and advanced users working on innovation and product development.

• Why you only have 150 friends #psychology #science
  2.6.2026, 18:00:09

  The video covers Robin Dunbar’s 1992 research establishing a relationship between neocortex size in primates and the complexity of social relationships. Dunbar found that the human brain has natural limits on the number of relationships a person can effectively maintain. These limits are divided into layers: five people for the closest group, 15 for deep trust, 50 for significant work relationships, and 150 for stable social connections. Military mathematicians empirically confirmed these patterns and found that groups of these sizes communicate most effectively, with effectiveness peaking again at 15, 50, and 150 people. The military has extensively tested this research because stakes are high and they need to understand dynamics precisely.

  The video doesn’t cover specific AI tools or models and is suitable for a broad audience, including beginners and intermediate viewers.

• Why your meetings are actually destroying your output #productivity #work
  2.6.2026, 03:00:10

  The video argues that meetings in modern enterprises are often inefficient and cause more harm than good. The reason is that productivity per person has increased dramatically, making the opportunity cost of meetings higher than ever. Rather than focusing on output quantity, as often happens in discussions about AI and teams, the focus should be on quality and effective coordination. The speaker warns that excessive emphasis on volume can lead to flawed organizational decisions.

  The video addresses general principles of productivity and organization without mentioning specific AI tools or models and is aimed at an intermediate audience working on modern work methods and optimizing team processes.

• Is your AI team actually efficient? #ai #tech #programming
  2.6.2026, 00:00:13

  The video discusses using five-person teams as “strike teams” combined with AI, particularly in contexts where correctness is critical. The advantage of this structure is that the outputs of each team member, generated by AI, are reviewed by at least one other team member. This enables error detection at the right level of abstraction. Such a team can cover expertise in product, engineering, design, data, and domain, though roles don’t need to be strictly separated. The focus is on leveraging a shared context layer to identify and solve real problems.

  The video addresses generic AI models and is intended for intermediate and advanced viewers.

• The death of traditional databases #ai #tech #saas
  1.6.2026, 18:00:24

  The video discusses the profound form of technology lock-in created by context and comprehension platforms. Unlike traditional data lock-in, which can be circumvented through data portability, the speaker argues that the synthesized organizational knowledge generated by these platforms cannot be exported. This type of lock-in, referred to as “comprehension lock-in” or “intelligence lock-in,” arises from the platform’s unique ability to understand and connect relationships across different systems. With each additional use and day of operation, this lock-in strengthens as synthesized knowledge grows exponentially. The speaker emphasizes this is the deepest form of technology lock-in ever seen in enterprise software.

  The video addresses general concepts of technology lock-in and synthesized knowledge without mentioning specific AI tools or models and is intended for intermediate or advanced viewers.

Alejandro AO

No new videos in this period.

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 complete AI assistant system that facilitates the use of AI within your vault. A central element is the “Receptionist,” which serves as an interface for interacting with various AI agents and skills.

  The system includes numerous AI agents and skills organized into different categories, such as productivity, books, discovery, health, ideas, identity, media, people, reading, research, and more. These capabilities enable you to automate tasks like creating to-dos, managing books, discovering old notes, tracking health data, and organizing ideas. Additionally, there’s an identity system that allows the AI to understand and utilize personal information such as your history, work style, and values.

  Another feature is support for LLM Wikis, inspired by Andrej Karpathy. These wikis allow you to create and manage a Markdown-based knowledge base that is organized and expanded by AI. The video also demonstrates the 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 the AI.

  The video is best 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 (1 new video)

• A Conversation With Alastair Paterson
  1.6.2026, 15:00:09

  The video is a conversation between Alister and Daniel about the company Harmonic and its approach to secure and strategic AI adoption in enterprises. Harmonic aims to help organizations safely and effectively use AI tools without hindering innovation. The conversation covers Harmonic’s evolution from monitoring chatbot usage to a comprehensive solution that promotes both security and productivity through AI tools.

  Harmonic now offers a solution that monitors both AI tool usage in browsers and on endpoints. They’ve introduced an MCP gateway solution that controls communication between various AI tools and data sources. They’ve also developed an endpoint agent that monitors activities on employee devices and ensures no sensitive data is shared uncontrollably.

  A key aspect of Harmonic’s approach is the ability to analyze AI tool usage in the enterprise and understand which tools are actually valuable and where the greatest productivity gains are achieved. They use small language models to understand and categorize AI tool usage, enabling organizations to optimize AI tool adoption and increase productivity.

  Harmonic also offers a solution for monitoring and managing AI agents created by employees. This allows organizations to track AI agent usage and ensure they align with company goals and policies.

  The video explicitly features Harmonic, which targets enterprises and is designed for intermediate to advanced users.

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