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AI Agents in Focus: Hermes Desktop, Claude Code, and the Future of Automation

Monday, June 8, 2026

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

AI mit Arnie (1 new video)

• Hermes Desktop is dangerously good
  6.6.2026, 16:10:34

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

  The video explicitly focuses on the Hermes Desktop app, which is based on open-source models, and is better suited for intermediate to advanced users.

Cole Medin (2 new videos)

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

  Without the direct link to the video, I can’t create a summary. Please share the YouTube link so I can analyze the video and write a precise summary for you.

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

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

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

Nate Herk | AI Automation (5 new videos)

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

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

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

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

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

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

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

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

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

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

  The video explicitly covers Claude Opus 4.8 and is more suitable for intermediate or advanced users.

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

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

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

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

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

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

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

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

• 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 during World War II, which cracked the Enigma code, through to modern AI models like Claude, ChatGPT, and Gemini. It describes the two main approaches to 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 such as ChatGPT finally brought AI into the mainstream. Today, companies like OpenAI, Google, and Anthropic dominate the market, with Anthropic’s Claude 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 such as Claude Code and Anti-Gravity. It is more suitable for intermediate and advanced users as it goes deep into the history and technology of AI.

Ben AI (1 new video)

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

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

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

Brian Casel (3 new videos)

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

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

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

  The creator emphasizes the importance of understanding these tools rather than using them blindly. He recommends integrating the design system from the start in new projects, as applying it retroactively is more difficult. He also introduces a Rails and React starter template that already has his design system integrated.

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

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

  The speaker describes his workflow with the AI agent Claude, where he starts tasks before leaving work, going to sleep, or doing morning exercise. This way he uses the waiting time during which Claude analyzes code or conducts research for other activities. He also mentions that in 2026, AI agents like Claude complete tasks independently without explicit instructions—they work according to set procedures and are essentially team members.

  The video explicitly covers Claude and is geared toward intermediate or advanced users who already have experience with AI agents.

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

  The video shows how the user leverages Claude’s “Newsletter Writer” feature to create content for his newsletter. The process starts with a 20-minute voice memo in which the user captures his ideas and observations for the newsletter. Claude then converts this voice memo into text and uses it as a draft for the main part of the newsletter. The user reviews and edits the draft over multiple 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 adjustment in other tools.

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

Melvynx (4 new videos)

• MIGRATION from Claude to Codex: Just 1 line to do (SIMPLE TUTORIAL)
  4.6.2026, 16:00:38

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

  The video covers specific tools like Codex, Cursor, and the open-source CLI tool from ai-blueprint and is geared towards intermediate 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 deployed daily for countless 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 resist 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.

• C’est foutu
  8.6.2026, 11:22:40

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

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

• Codex GPT Training: learn everything about Codex in 2026 (free)
  7.6.2026, 16:00:29

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

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

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

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

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

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

  The video explicitly addresses OpenAI and is geared towards intermediate to advanced users.

Dave Ebbelaar (1 new video)

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

  ### YouTube Video Summary

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

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

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

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

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

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

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

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

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

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

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

Niklas Steenfatt (1 new video)

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

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

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

Fireship

No new videos in this period.

Julian Ivanov | AI Automation (1 new video)

• How to make Claude watch every video for you
  7.6.2026, 18:05:41

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

  Concrete use cases include:
  1. **Learning videos**: Summarizing educational videos such as those about Transformer architectures, extracting important diagrams and inserting them into notes.
  2. **Videos without speech**: Analyzing vacation videos or other videos without spoken content to identify specific scenes or events.
  3. **Bug recordings**: Analyzing screen recordings to identify errors or issues in apps or programs and find solutions.
  4. **Viral content**: Analyzing successful social media videos to understand why they perform well and what visual hooks are used.

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

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

Mark Kashef (1 new video)

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

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

Everlast AI (4 new videos)

• Nr.1 Historian: This Time It Could Be DIFFERENT! Luddites, Capitalism & AI (Jürgen Kocka)
  4.6.2026, 14:15:11

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

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

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

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

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

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

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

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

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

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

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

  In closing, Mainzer speaks about the political and societal challenges that come with AI development. He refers to China’s long-term planning in the field of AI and the effectiveness of business structures in technological developments. He emphasizes the need to preserve democratic traditions while simultaneously developing effective political structures to address the complex problems of the future.

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

• “It’s Extremely Dangerous What’s Beginning Here!” The New AI Job Lie, Claude Opus 4.8 & China’s Robots
  2.6.2026, 15:15:07

  The video addresses a variety of topics around artificial intelligence (AI) and its impacts on society, economy, and individual lifestyles. Here are the key 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. Price reductions in Chinese AI models and their strategic implications are also addressed.

  3. **Job Market and Job Losses**: The discussion about possible job losses through AI is conducted intensively. It is pointed out that many jobs could be replaced by AI, but new opportunities 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 the question of what education and learning should look like in a world with AI. It is emphasized that traditional examination methods such as essays and exams could become redundant through AI, but there is still a need to impart practical skills and knowledge.

  5. **Investments in AI**: Discussion of how to invest in AI as an investor. It is recommended to invest in tokens, as these promise high returns and the costs for AI applications continue to decline.

  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 blindly trusted and that it is important to understand the limits and possibilities of AI.

  7. **Future of Work**: The 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 and not just on 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 boost human creativity and find solutions independently.

  9. **AI and Education**: Discussion of 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 costs for AI applications to ensure economic viability.

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

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

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

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

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

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

  Final comment: The video addresses OpenAI (ChatGPT, Codex), Google (Gemma), Nvidia (Nemotron), Corporate LM, and specific tools such as Codex Sites. It is designed more for intermediate and advanced users.

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

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

  The video is a podcast interview with Satya Nadella, CEO of Microsoft, where he discusses the future of AI, Microsoft’s strategy, and the societal impact of AI. Nadella emphasizes the importance of concrete value and the need to earn society’s trust rather than just making promises. He talks about Azure’s rapid scaling and the necessity to rethink workflows to leverage AI’s seemingly impossible capabilities. Nadella also mentions the importance of education and the potential for new startups to develop innovative education models. He discusses Microsoft’s role as a platform enabling companies to build their own AI, and stresses the importance of private valuations and the ability to improve models. Nadella also addresses AI’s impact on society and the need for AI’s benefits to be felt in communities. The video explicitly covers Microsoft’s AI strategy and is geared toward Intermediate and Advanced viewers.

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

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

  The video doesn’t cover specific AI tools or models and is geared toward Intermediate or Advanced viewers interested in corporate strategy and capital management.

Nic Conley

No new videos in this period.

Tech With Tim (10 New Videos)

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

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

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

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

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

  The video explicitly focuses on Hermes Agent and is intended for beginners.

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

  The video covers the biggest mistakes the speaker made while learning Python. The main mistake was trying to learn everything at once—web development, game development, data science, scripting, and automation. This left him with surface-level knowledge in many areas but deep expertise in none. He started various projects like Flask, Pygame, or data analysis but completed none of them. After months of learning, he couldn’t confidently build a single complete project in any of these areas. Instead, he should have mastered the fundamentals first and then chosen a specific direction.

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

  The video doesn’t focus on specific AI tools or models.

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

  The video argues that Machine Learning (ML) is one of the most rewarding skills to learn today, but only if you approach it correctly. The biggest mistake is getting lost in learning mode and never building anything. A PhD or understanding every single paper isn’t necessary, but the ability to solve problems is. The latter is the difficult part that many don’t focus on. While starting may seem overwhelming, in any field it’s a short period if you tackle the right problems and build before theory. With a roadmap, you’re guaranteed to succeed if you stick with it.

  The video focuses on Machine Learning and is more suitable for intermediate learners.

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

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

  The video covers general learning strategies for ML and is more suitable for beginners and intermediate learners.

• 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 the quality of results is equally good or even better. 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, which improve model performance, and highlights that Cursor offers a particularly effective harness. A live demo shows that Composer 2.5 creates 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 the created websites.

  The video explicitly covers the 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
  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 data is also addressed, including data cleaning and parsing. Feature Engineering is highlighted as a critical factor for model quality. Versioning, specifically for ML projects, covers Git, GitHub, MLflow, and Weights & Biases for experiment tracking. Cloud platforms like AWS, GCP, or Azure are mentioned as necessary knowledge, with AWS being recommended.

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

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

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

  The video covers general industry trends and is more suitable for intermediate or advanced viewers interested in the challenges of software development.

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

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

  Final comment: The video explicitly focuses on Temporal and is more suitable for intermediate and advanced users.

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

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

  The video covers general learning strategies and is more suitable for intermediate learners.

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

  The video emphasizes that Python is one of the easiest programming languages to start with, but also one of the most powerful to master. However, it warns that despite the easy entry, it takes time and effort to become truly skilled. Fundamentals require weeks of work, while mastery can take months or even years. The good news is that demand for Python developers, particularly in AI and data science, has never been higher. The investment is worth it. The advice is to become deep in a specific area rather than only scratching the surface of many. Once you’re good in one area, many other skills automatically follow, but you’ll already have a head start with expertise in a niche that enables you to land a job and enter the professional world.

  The video focuses on Python and is more suitable for beginners and intermediate learners.

NeuralNine (3 new videos)

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

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

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

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

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

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

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

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

  **AI-Tools/Models/Providers:** PostgreSQL, Docker, pgAdmin
  **Target audience:** Beginners

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

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

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

  **Target audience:** Intermediate

Bart Slodyczka (2 new videos)

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

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

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

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

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

  The video explicitly addresses Anthropic’s Claude Code, LM Studio, and is aimed at intermediate users.

AI Explained

No new videos in this period.

Alex Finn (1 new video)

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

  The video provides a detailed presentation and review of the new Hermes desktop app, which is portrayed as revolutionary for interacting with AI agents. The creator highlights several key features:

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

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

  Final note: The video explicitly focuses on the Hermes desktop app and is geared toward intermediate to advanced users.

AI Foundations (1 new video)

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

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

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

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

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

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

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

n8n (1 new video)

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

  The video introduces the new OpenTelemetry support in n8n 2.22, which enables integrating workflow traces into existing distributed tracing setups. With just two configuration steps, workflow and node executions are included in traces, making it easier to visualize latency, errors, and anomalies. n8n leverages OpenTelemetry (OTEL) and the W3C Trace Context standard, enabling seamless integration into existing tracing setups. The feature is also available in the free Community plan and offers customization options such as configurable sampling rates and the option to disable node spans. Additionally, users can add their own metadata via telemetry tags. For setup from scratch, a trace collector and visualizer are required, with n8n forwarding the trace ID to downstream services, which are then responsible for sending the traces themselves.

  The video explicitly addresses n8n and OpenTelemetry (OTEL) and is aimed at intermediate users who are already familiar with distributed tracing or want to implement it.

Greg Baugues

No new videos during this period.

TheAIGRID (6 new videos)

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

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

  **Final comment:** The video covers Meta’s AI models and specific tools like the Limitless Pendant and Humane’s AI Pin, and is aimed at intermediate users.

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

  The video provides a step-by-step guide on how to install and set up the new Hermes Desktop App. First, the app must be downloaded from the Hermes website and installed, which takes approximately 10 to 15 minutes. The installation doesn’t replace the existing Hermes installation; instead, it merges with it.

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

  The video specifically covers the Hermes Desktop App and is better suited for intermediate users already familiar with Hermes.

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

  The video reports on Microsoft’s announcement of its new quantum chip “Majorana 2,” which is allegedly 1,000 times more reliable than previous generations. The chip uses lead instead of aluminum as a superconductor, significantly improving qubit stability. Microsoft claims that qubits can now remain stable for up to a minute, representing an enormous advancement compared to microseconds. A central aspect of the development was the use of AI agents that analyzed data, automated measurements, and uncovered design weaknesses. Microsoft sees this as proof that AI can accelerate scientific research. The chip could become commercially viable by 2029 and solve problems that are unsolvable for classical supercomputers. Additionally, Microsoft introduced the AI platform “Microsoft Discovery,” which is now generally available. However, critics warn against accepting these announcements uncritically, as reliability and scalability still need external verification.

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

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

  The video summarizes Nvidia’s key announcements at GTC Taipei. First, Neotron 3 Ultra was unveiled, 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 model’s openness, including training data and scripts, to enable developers to customize 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 features the Olympus core and utilizes LPDDR5X memory for lower latency and higher bandwidth.

  For 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 various use cases.

  Finally, Nvidia, in collaboration with Microsoft, announced RTX Spark, a super-chip combining a Blackwell-RTX GPU with 6,144 CUDA cores and a 20-core Grace CPU. This chip aims 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 aimed at intermediate and advanced users.

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

  The video introduces Skywork 3.0, a platform described as a “cloud workforce” that is more than just another chatbot. Skywork enables users to set goals and run tasks in the background without technical knowledge or local setup. The platform provides access to various models such as Cloud Opus 4.7, GPT 5.5, and open-source models like Kimmy K 2.5. Skywork 3.0 can create documents, presentations, images, and websites as well as generate videos. The video demonstrates practical examples, including creating a document about preparing for AGI by 2030, generating presentations about Google DeepMind’s Gemini Science Division, creating images and announcements, and developing a landing page for a brand. Additionally, the video feature is demonstrated, which consolidates various models under one interface. Skywork 3.0 thus replaces multiple tools and saves time and money.

  The video specifically covers Skywork 3.0 and is aimed at intermediate users who already have basic knowledge of using AI tools.

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

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

  The video specifically covers OpenAI’s ChatGPT and is aimed at intermediate users.

Theo – t3․gg (4 new videos)

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

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

  The video explicitly addresses Large Language Models (LLMs) and is intended more for intermediate or advanced programmers.

• More Prompts = Worse Code?
  3.6.2026, 00:06:00

  The video discusses “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 mitigated by AI. He explains that prompts can also represent technical debt, as 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-party vendors and leaving them as unconfigured as possible to benefit from the work of teams that continuously refine the prompts.

  The video explicitly addresses tools like Cursor, Claude, OpenAI, Gemini, T3 Code, and ArcJet and is aimed at intermediate to advanced developers.

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

  The video discusses potential risks and scenarios of recursive self-improvement in AI systems, based on an article from Anthropic. It begins with the question of what happens when AI systems become intelligent enough to improve themselves, and presents concerns associated with rapid, uncontrolled progress (hard takeoff). The Anthropic article shows that productivity in AI development has been massively increased through the use of AI systems like Claude, leading to acceleration of AI development. Three possible future scenarios are discussed: that progress stagnates, that AI development becomes heavily automated while maintaining human control, or that AI systems become fully recursively self-improving and surpass human control. The video emphasizes the need to think about the implications of these developments and potentially temporarily pause AI development to enable societal structures and alignment research. It also discusses the difficulty of global coordination and oversight of such pauses.

  The video explicitly addresses AI models and providers from Anthropic (Claude) and is intended more for intermediate to advanced audiences.

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

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

  The video explicitly addresses Vite, Cloudflare, and specific tools like Browserbase, Infinite Red, and Lakebed. It is intended more for intermediate and advanced developers.

Liam Ottley (1 new video)

• Start a 1-Person AI Creative Agency with Higgsfield + Claude
  8.6.2026, 06:24:52

  **Summary:**

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

  **Final Comment:**

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

Productive Dude

No new videos in this period.

Nick Saraev

No new videos in this period.

Leon van Zyl (3 new videos)

• Build Animated Websites with Claude Code + Higgsfield
  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 viewers through the steps of generating an avatar image with Higgsfield, animating it, and finally integrating it into the website. The Higgsfield CLI is installed and authenticated via an agent capability in Claude Code. Using a detailed prompt, Claude Code generates four variants of a friendly robot, from which one 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, small improvements are made to the website to better integrate the avatar and check responsiveness.

  The video explicitly addresses Claude Code and Higgsfield AI and is better suited for intermediate users.

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

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

  The video addresses various AI models and tools such as Cloud Code, Codecs, and Open Code and is suitable for both beginners and intermediate users.

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

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

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

Tim Carambat

No new videos in this period.

WorldofAI (7 new videos)

• 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 like Miniax M3, based on their performance across different 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 benchmarking tool, which allows users to evaluate models based on specific tasks and domains. The tool is available for $12 per month (or $10 with an annual subscription) and provides access to an extensive prompt library and evaluation criteria.

  The video explicitly addresses OpenAI (GPT 5.5), Anthropic (Claude Opus 4.8), Google (Gemini 3.5 Flash), and open-source models (Miniax M3) and is geared more toward intermediate to advanced users.

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

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

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

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

  Final comment: The video addresses DeepSeek, an open-source desktop application called Deepseek Buy, and is geared more toward intermediate and advanced users.

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

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

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

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

  3. **DeepSeek**: The company is working on a new GUI that could enhance user-friendliness and productivity for power users. A native app could simplify usage for coding, research, and daily productivity.

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

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

  The video explicitly addresses AI models and providers Anthropic (Mythos 5), OpenAI (GPT 5.6), DeepSeek, and Google (omni-model). It is geared more toward intermediate and advanced users, as it contains detailed technical information and analysis.

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

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

  The video also demonstrates how the model can be applied in various use cases such as creating frontend designs, Minecraft and operating system clones, as well as SVG and 3JS generation. It emphasizes that the model performs surprisingly well in code generation and logical reasoning, although it’s not the best for these tasks. The video recommends the model for users with approximately 12 GB VRAM seeking a modern local AI for coding, vision, audio, and 3JS generation.

  **Final comment:** The video explicitly addresses Google’s Gemma 4 12B model and is geared more toward intermediate to advanced users.

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

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

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

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

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

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

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

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

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

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

  Final comment: The video explicitly addresses OpenAI (GPT 5.6, Codeex), Microsoft (MAI Thinking One, MAI Code One Flash), Hermes Agent, Alibaba (Qwen 3.7 Plus), Anthropic (Cloud Code, CLI), Google (Notebook LM, Gemini Omni), and is geared more toward intermediate and advanced users.

AI and Strategy | Le SamourAI

No new videos in this period.

Matt Pocock (1 new video)

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

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

  The video explicitly covers using Opus 4.8 and is designed for intermediate to advanced users who work with developing and applying AI skills.

Coding with Lewis (2 new videos)

• If Databases were put on paper #ad
  8.6.2026, 15:56:27

  The video illustrates the immense size of Big Data by printing databases in physical form on paper. Starting with 50 rows per page, the creator shows that 1,000 rows take up about 20 pages, which is still manageable. At 10,000 rows, it’s already 200 pages, and a million rows equal 20,000 sheets of paper stacked to a height of two meters. A billion rows would create a stack two kilometers high, taller than any building in Canada. Spotify generates a trillion events daily, which would correspond to a stack of paper that towers over the International Space Station. The creator emphasizes that databases like PostgreSQL can efficiently process such massive amounts of data, while manually reviewing it on paper would be extremely time-consuming.

  The video covers PostgreSQL and Superbase and is better suited for intermediate users.

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

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

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

Julian Goldie SEO (10 new videos)

• NEW Hermes Agent Update is WILD!
  8.6.2026, 21:00:11

  The video introduces the new version 0.16 of Hermes Agent, referred to as a “Surface Release,” which significantly changes how the agent is used. Key updates include a desktop app for Mac, Windows, and Linux, a redesigned Skill system with easy installation and security checks, and integration of new AI models like Nemotron 3 Ultra and Step 3.7 Flash. The host demonstrates using the agent with voice commands to perform tasks like opening websites and scheduling appointments. A 30-day roadmap for building a complete Agent OS system is also presented, available in the AI Profit Boardroom. The video targets intermediate users and specifically covers Hermes Agent, Neos Research, and the AI models Nemotron 3 Ultra and Step 3.7 Flash.

• New NotebookLM Update Is INSANE!
  8.6.2026, 19:00:11

  The video presents the latest updates to Notebook LM, a tool that generates various formats like podcasts, videos, presentations, and reports from notes and documents. A key highlight is the upcoming feature enabling conversion of custom files into different formats based on provided sources. This development is powered by Google’s integration of the fast Gemini 3.5 Flash model, which is four times faster than its predecessor. The creator emphasizes the growing diversity of output formats and increasing integration into daily workflows on both computers and smartphones. Practical examples demonstrate how Notebook LM saves time by eliminating manual steps like formatting and copying. A note of caution is that generated presentations are currently exported as images rather than editable elements, but overall development clearly points toward more efficient workflows.

  The video specifically covers Notebook LM and Google’s Gemini models, particularly Gemini 3.5 Flash, and targets intermediate users with some prior experience with AI tools.

• NEW Nemotron 3 Ultra is Insane (FREE!) 🤯
  8.6.2026, 18:00:33

  The video introduces Nvidia’s new free Nemotron 3 Ultra, a large language model with 550 billion parameters freely accessible for two weeks. Nemotron 3 Ultra is specifically designed for long-term agents capable of planning, using tools, and self-correcting errors. It offers a large context window of approximately one million tokens and is up to five times faster than other models. The model integrates with Hermes, an agent platform that’s part of Agent OS. In Goal Mode, users set an objective and Hermes works autonomously until the task is complete. The combination of Nemotron, Hermes, and Agent OS enables a complete, self-contained system.

  The video specifically addresses Nemotron 3 Ultra, Hermes, and Agent OS, and is more suited for intermediate or advanced users.

• Hermes Oracle Agent Just Changed AI FOREVER!
  8.6.2026, 17:00:14

  The video introduces Hermes Jarvis, an advanced AI system functioning as a personal assistant controlled through voice commands. The user demonstrates how Hermes Jarvis can complete various tasks like creating a Japanese language learning tool, opening websites, and providing information. The system operates with three main commands: “Wake,” “Show,” and “Create,” enabling activation, information display, and creation of new applications. Hermes Jarvis integrates into a larger system called the “Goldie Oracle Control System,” which includes a visual knowledge base called “Memory Galaxy” based on Obsidian. The system runs on Windows and Mac, using free local AI models, making it cost-effective and private. The user emphasizes that unlike traditional voice assistants, Hermes Jarvis actually executes tasks rather than just providing information.

  The video specifically covers Claude and OpenAI, and is intended for intermediate to advanced users.

• Hermes + Paperclip Just Changed AI Agents Forever
  8.6.2026, 15:40:36

  The video demonstrates how to use Paperclip and Hermes Agent together to create a team of AI agents collaborating to complete various tasks. The creator shows a system composed of multiple AI agents arranged in an organizational structure, including a CEO, engineers, marketing, and operations agents. Each agent has specific roles and tasks, working together to deliver projects and results. The system allows real-time tracking of agent activities, including time spent on each task and achieved results. The creator shows how to set new goals and tasks for agents and how to review and approve results. The system is designed to run continuously with agents working autonomously while the user maintains control over token usage and overall organization. The creator emphasizes how this system boosts AI agent productivity and efficiency while maintaining oversight and visibility of their activities.

  The video specifically covers the open-source tools Paperclip and Hermes Agent, and is intended for intermediate to advanced users.

• How to Rank #1 with Paperclip + Hermes Agent Swarms!
  8.6.2026, 15:00:29

  The video shows how to use Paperclip with AI agents to optimize websites and rank across various search engines, including AI-based ones like ChatGPT. The process involves creating a team of seven AI agents handling different tasks such as keyword research, content creation, SEO optimization, link building, publishing, and analytics. The speaker demonstrates how these agents work together in an organized system to automate the entire SEO process. The integration of Hermes Agent for email outreach and link building is also shown. The speaker argues that SEO has become more efficient and effective through AI agents, and that optimized content with unique information ranks well in AI search engines. The video concludes with promotion for a free SEO course, free strategy session, and access to the AI Profit Room offering additional resources and support.

  The video specifically covers Paperclip, Hermes Agent, Claude, and OpenAI, and is intended for intermediate and advanced users.

• NEW Hermes AI Voice Agent is INSANE
  8.6.2026, 13:00:26

  The video introduces Hermes, a self-hosted AI agent with voice mode. Hermes runs on your own computer, remembers projects, preferences, and workflows, and becomes smarter with each use. Voice mode enables natural interaction without typing. Hermes is model-agnostic and can run with various AI models like Miniax M3, Grock, or Claude. Integration with 11 Labs significantly improves voice quality. The agent can handle complex tasks, use tools, inspect files, and execute multi-step workflows. Practical applications include operational checks, idea capture, sales training, and customer-facing services. Hermes can also make outbound calls and send emails. The agent is open source, meaning it runs on your own hardware with data remaining on your device. The community continuously develops the project. The speaker emphasizes the benefits of such a system and invites viewers to join the AI Profit Boardroom to learn more about using Hermes.

  The video specifically covers Hermes, 11 Labs, Miniax M3, Grock, Claude, and open-source tools, and is intended for intermediate and advanced users.

• Claude + Hermes Setup is WILD
  8.6.2026, 12:00:31

  The video presents the combination of Claude and Hermes, two AI tools that together provide a powerful automation solution. Claude, a highly capable AI model, suffers from lacking persistent memory, starting fresh with each new chat. Hermes, an open-source autonomous agent from Nous Research, solves this by equipping Claude with persistent storage, a self-improving skills system, and automated tasks. Together they enable a continuous, self-improving work environment beyond simple chat interactions. The author shows how he uses this combination to create a one-click content pipeline for his AI Profit Boardroom project, generating and managing content. The video emphasizes the importance of proper setup and integration to unleash these tools’ full potential. It also mentions the Agent OS Dashboard, built in Obsidian and serving as a command center for agent management. Additionally, Jarvis voice control is introduced, enabling voice-commanded task execution. The video targets advanced users ready to invest time configuring and customizing these tools to build a powerful AI system. It covers specific tools like Claude, Hermes, Claude Code, and Obsidian.

• How To Get FREE Skills For Hermes Agent
  8.6.2026, 12:00:25

  The video explains how to get free skills for Hermes agents. With the new Skills Hub, you can browse thousands of free AI agent skills from platforms like skills.sh, Claude Hub, Claude Marketplace, and GitHub. Installation takes one click. Each skill is security-checked before installation and color-coded (built-in, trusted, or community-based) before use. The video demonstrates finding and installing an email management skill as an example.

  The video specifically covers Claude and is suited for intermediate users.

• Hermes + Obsidian for SEO is INSANE!
  8.6.2026, 11:00:05

  The video shows how to give the AI agent Hermes persistent memory by combining it with the free tools Obsidian and OMI. By default, Hermes starts each session without context, leading to generic and inaccurate responses. Integrating with Obsidian gives Hermes access to a shared knowledge base stored as simple markdown files in a local folder. This enables Hermes to use relevant information from past tasks, goals, and notes, significantly improving answer quality and relevance. OMI complements this system by automatically capturing conversations and screen activities, converting them into structured memories written to the Obsidian vault. This ensures Hermes always has current and relevant information without manual note-taking. The video emphasizes the benefits of this system, particularly for those regularly using AI agents for content creation, workflows, and planning. Starting small with OMI for automatic memory capture and using Hermes to organize the vault is recommended. Building such a system gives AI agents consistent context and prevents contradictory or generic responses.

  The video specifically covers Hermes, Claude, Open Claude, Obsidian, and OMI, and is intended for intermediate and advanced users.

Kyle Balmer | AI with Kyle (10 new videos)

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

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

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

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

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

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

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

  The video explicitly addresses ChatGPT, Claude, Gemini, and YouTube, and is intended for intermediate users.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

• do hard stuff
  4.6.2026, 09:43:54

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

  The speaker addresses AI tools in general without specifically naming providers or models. The video is aimed at intermediate and advanced users.

David Shapiro (3 new videos)

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

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

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

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

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

  Final comment: The video discusses OpenAI and Nvidia and is geared more toward Intermediate and Advanced audiences.

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

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

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

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

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

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

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

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

  The video does not discuss specific AI tools or models and is geared more toward Intermediate or Advanced audiences.

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

• Meta Cut 8,000 People. It Has Nothing To Do With AI Working.
  8.6.2026, 14:00:32

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

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

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

  3. **Usage-based Layoffs (e.g., Cloudflare)**: Some companies justify layoffs by pointing to increased AI usage, yet without presenting clear outcomes. Such layoffs often signal strategic uncertainty. For job seekers, these companies are a red flag.

  4. **Hope-based Layoffs (e.g., Cisco)**: Companies without a clear AI strategy use layoffs to signal transformation. These layoffs often indicate disorientation and should be approached cautiously by job seekers.

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

  The video advises executives to understand the various reasons behind AI layoffs in order to make strategic decisions. Job seekers should carefully examine the background of layoffs at potential employers.

  The video specifically addresses Meta, Block/Jack Dorsey, Cloudflare, Cisco, and OpenAI. It targets intermediate and advanced viewers, particularly executives and job seekers in the tech sector.

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

  The video describes a detailed process for deploying AI agents in organizations to boost productivity. The workflow includes several steps: agents first gather context and read relevant sources to classify the work. They then use specific tools to create drafts or make modifications. Next, they perform checks, attach evidence, and route results to appropriate human decision-makers if needed. They log actions taken and update their approach for future runs based on learnings. This comprehensive pipeline process shows that AI agents must work within a complex, iterative system—not just handle simple tasks—to deliver real value.

  The video addresses AI agents and their application in enterprises without naming specific tools or models. It targets intermediate and advanced users.

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

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

  The video addresses general AI integration into business processes and targets intermediate to advanced audiences.

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

  The video describes an end-to-end development process covering the entire journey from customer feedback to product delivery. The process includes multiple steps: customer feedback is translated into product decisions, those decisions become plans, plans lead to code changes, code changes are tested, launch risk is reviewed, and finally the feature is released with rollout measurement. Rollout results then influence the next decisions, closing the learning loop. The video emphasizes that individual steps should not be optimized in isolation but rather treated as an interconnected process to ensure effective product development.

  The video addresses general principles of product development and is better suited for intermediate and advanced viewers.

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

  The video discusses reports about Uber’s investments in AI coding tools and the resulting challenges. Uber invested heavily in AI code tools, leading to increased token usage and AI-driven code commits. However, the company couldn’t establish a clear connection between this AI usage and an increase in customer-value features. Many interpret this as a sign of an AI bubble and inefficient AI agents. The speaker argues, however, that the real message of Uber’s story isn’t AI agent inefficiency, but rather limited compute and token availability, which represents the actual bottleneck.

  The speaker emphasizes that Uber is already performing real agentic work, and the main issues are high demand and limited compute resources, not inefficiency in the AI tools themselves. The video broadly addresses AI agents and implementation challenges without naming specific tools or models, targeting an advanced audience engaged with economic and technical aspects of AI.

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

  The video discusses the role of human expertise in collaboration with AI. The focus is on how professionals can identify gaps that AI alone cannot recognize. One example is a strategy partner receiving AI-generated competitive analysis and finding that proprietary insights about customer switching costs are missing. Another example is a credit officer rejecting an AI-generated loan agreement protocol, explaining that different financial metrics require different monitoring triggers. These examples demonstrate how professionals can improve AI results through specific business logic and implicit rules not explicitly stated in requirements.

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

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

  The video addresses a central structural problem in the AI tool ecosystem: missing infrastructure for scaling notes. The speaker emphasizes that almost no one discusses how to effectively collect and manage notes, despite this being a critical gap. Organizations using AI constantly generate rejections or notes at the individual level, yet these often remain unused. The solution doesn’t lie in separate tools like spreadsheets, databases, or dashboards, since users don’t want to switch between applications. Instead, note capture should occur directly within the work process—as a byproduct of rejections already being performed—within the ongoing conversation itself.

  The video addresses general AI infrastructure questions and is better suited for intermediate or advanced users.

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

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

  The video addresses general concepts of knowledge processing and AI workflows without naming specific tools or models, targeting an intermediate audience.

• My Codex Ran 800 Million Tokens in A Day. The Real Story Isn’t Cost.
  5.6.2026, 14:00:07

  The video author presents a self-built token-burn dashboard that helps visualize and analyze AI tool usage. The focus is not on boasting about burned tokens but on optimizing and scaling computer usage with AI. The dashboard shows how the author uses AI tools like Codex and Claude to increase productivity and improve work processes. He emphasizes the importance of feedback loops to understand and improve AI usage, and how analyzing token consumption provides insights into work patterns. The author also demonstrates using AI tools like Slashworkflows and Subagents to automate and optimize complex tasks. He encourages viewers to create similar dashboards and share experiences to collectively explore and expand AI possibilities.

  The author specifically addresses Codex, Claude, and Opus 4.8, as well as the open-source Skill Tufty. The video is better suited for intermediate and advanced users, as it assumes viewers already have AI tool experience and are prepared to analyze and optimize their usage.

• The most expensive AI mistake isn’t prompting #ai #business
  5.6.2026, 01:00:00

  The video discusses the challenge of scaling “taste” in evaluating AI-generated content. The speaker emphasizes that simply knowing what is good is not enough; you must also systematically learn to reject what is bad. This rejection is actually more valuable than creating prompts. The rejection process is highlighted as crucial to developing a scalable method for evaluating AI output.

  The video broadly addresses AI tool usage and is better suited for intermediate and advanced users who already have experience creating and evaluating AI content.

Alejandro AO (2 new videos)

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

  The video provides a detailed overview of Pi’s architecture, a minimalist AI agent. It begins by explaining the Agent Core, also known as the Agent Loop, which describes Pi’s fundamental operation. This process involves initializing the context, transforming the context, and calling the Large Language Model (LLM), with the ability to use tools such as file operations or internet research.

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

  The video also covers Pi’s tools, which are limited to four tools by default but can be supplemented through extensions. Extensions allow you to add additional features such as web search or custom commands.

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

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

  The video explicitly focuses on the AI agent Pi and is better suited for intermediate and advanced users interested in the technical implementation and architecture of AI agents.

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

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

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

Sebastien Dubois

No new videos during this period.

Unsupervised Learning (1 new video)

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

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

  The video addresses generic AI models like ChatGPT and is intended more for intermediate and advanced learners.

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