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302 reviewed videos with editorial summaries and key takeaways.

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  1. Todd Fisher demonstrating an electric guitar that triggers an AI generated voice
    While my guitar gently speaks - Todd Fisher, Philo Ventures
    18m 35s
  2. Arturo Nunez demonstrating an AI game engine that builds a playable scene from natural language
    The Next Game Engine Won't Have a Manual - Arturo Nunez, Nereu
    19m 33s
  3. Ekaterina Deyneka presenting an agentic video editing pipeline from media analysis to verified render
    Building an Agentic Video Editor for Mass Consumer - Ekaterina Deyneka, Reelful
    12m 45s
  4. Sangwu Lee presenting the data and training pipeline behind the Krea 2 image model
    Training Krea 2: What matters in generative model training - Sangwu Lee, Krea.ai
    21m 46s
  5. Ankit Jain beside the headline Rethink Review, discussing intent and behavioral verification for AI-generated code.
    How to Kill the Code Review - Ankit Jain, Aviator
    16m 26s
  6. Ryan Dahl beside the headline Agent Security, discussing external permission controls for AI agents.
    Security Firewall for Agents - Ryan Dahl, Deno
    19m 6s
  7. Louis-François Bouchard, Omar Solano and Samridhi Vaid comparing cached conversation history, compaction and retrieval for an AI tutor.
    Context Engineering in 2026 - Louis-François Bouchard, Omar Solano & Samridhi Vaid, Towards AI
    1h 3m
  8. Patricija Žemaitytė explaining web-data pipelines, retrieval latency and AI infrastructure reliability
    How Web Data Infrastructure Powers the Next Generation of AI - Patricija Žemaitytė, Oxylabs
    19m 3s
  9. Omer Primor comparing AI search, context services and reusable data pipelines for agent workflows.
    The Rise of CaaS: Context-as-a-Service for Agentic AI - Omer Primor, Bright Data
    22m 20s
  10. Gaurav Mishra explaining recovery, perception and safety safeguards for computer-use agents.
    From RL to IRL - Gaurav Mishra, Amazon AGI Lab
    17m 46s
  11. Corey Gallon explaining browser agents, reusable automation code and outcome verification
    The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans - Corey Gallon, Rexmore
    21m 38s
  12. Paul Klein IV explaining browser-agent harnesses, authentication and reliable web infrastructure.
    Bringing agents onto the world wide web - Paul Klein IV, Browserbase
    18m 26s
  13. Pierluca D'Oro beside the headline Can Your Benchmark Be Replayed?
    Computer Use at the Edge of the Statistical Precipice - Pierluca D'Oro, Programma Labs
    17m 28s
  14. Dhruv Batra beside the headline THE WEB HAS AN API GAP
    Computer-use models will agentify the web, not APIs - Dhruv Batra, Yutori
    21m
  15. Vivek Trivedy with the headline Better Agents Start With Traces.
    Improving Agents is a Data Mining Problem - Vivek Trivedy, LangChain
    20m 2s
  16. Shlok Khemani explains personal AI memory, user profiles, stale facts and missing context.
    Lessons from Studying Every Memory System - Shlok Khemani, Independent
    19m 31s
  17. Ben Hylak beside the headline Reliable agents: Raise the floor.
    Designing Agents (The Floor Is the Frontier) - Ben Hylak, Raindrop
    19m 46s
  18. Samuel Denton beside the headline Continual Learning at Work on a black background.
    Bringing Continual Learning into Enterprises - Samuel Denton, Applied Compute
    19m 3s2 VIEWS
  19. Ben Holmes and Andrej Karpathy beside the headline Raw notes to living wikis.
    LLM Knowledge Bases: a practical guide - Ben Holmes, Warp
    21m 17s
  20. Sara Hooker discusses automated model adaptation, data quality and broader access to AI research.
    Adaption Labs: Gradient-Free Continual Learning - Sara Hooker, Adaption
    20m 51s