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Foundation Models Videos

Videos about general-purpose AI models trained on broad data and adapted to support many downstream tasks.

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  1. Animesh Garg in an attention-blue shirt on a black background beside the headline ‘HUMANOIDS AT $10K?’.
    Humanoid Robots Drop to $10K in Two Years - Animesh Garg
    MTS18m 33s
  2. The words Robots Learn From One Video beside a flat illustration of a robot arm learning a motion
    How S1 Teaches Robots New Tasks From One Video
    AI Copium11m 4s1 VIEW
  3. Kanish Manuja beside the words LLM Gateways That Survive Production
    How to Build Reliable LLM Gateways
    AI Engineer16m 23s
  4. Károly Zsolnai-Fehér beside the words Qwen Flash Gets Smarter
    How Qwen 3.8 Flash Next Cuts Context Costs
    Two Minute Papers4m 26s
  5. Nathaniel Whittemore beside the words One Model Isn't Enough
    Why One AI Model Is No Longer Enough
    The AI Daily Brief25m 20s
  6. Flat token cards and a magnifying glass beside the words Why AI Watermarks Stay Hidden
    Why AI Text Watermarks Stay Invisible
    No Hype AI17m 52s
  7. Károly Zsolnai-Fehér beside the words Small Model Big Leap
    Why Qwen3.8-27B Matters for Local AI
    Two Minute Papers3m 20s
  8. The words Why SSI Studies Brains beside a flat interlocking brain illustration
    Why SSI Is Studying How Brains Learn
    TheAIGRID11m 27s
  9. Yong Zheng-Xin beside the words Can AI Make the Leap
    How LLMs Could Make Scientific Leaps
    MTS29m 24s
  10. The words Open Weights Move Faster beside an abstract specialist-model distillation
    How DeepSeek V4 Pro Learns From Specialists
    Two Minute Papers5m 29s
  11. Jack Roberts and Nick Saraev beside the words The Frontier Stays Private
    Why Frontier AI Models Stay Private
    Stacked Podcast17m 55s
  12. Sidney Primas presenting the model pipeline for expressive real time video avatars
    Voice agents with Realtime Video - Sidney Primas, LemonSlice
    AI Engineer26m 36s
  13. 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
    AI Engineer21m 46s
  14. Károly Zsolnai-Fehér beside the words 650 Failures Then a Breakthrough
    How Claude Improved a Human Mathematics Record
    Two Minute Papers4m 29s
  15. Jack Roberts and Nick Saraev beside the words Grok Leads Models Split Roles
    Grok 4.6 Leads Benchmarks as AI Models Split Roles
    Stacked Podcast29m 18s
  16. Nathaniel Whittemore beside the words More Models More Choice
    Grok 4.6 Expands the Frontier Model Race
    The AI Daily Brief24m 35s
  17. Károly Zsolnai-Fehér beside the words One Model Sees It All
    How Gemma 4 Sees With One Transformer
    Two Minute Papers5m 23s
  18. Károly Zsolnai-Fehér beside the words Open Models Close the Gap
    Qwen 3.8 Max Pressures Frontier AI Prices
    Two Minute Papers4m 14s
  19. Károly Zsolnai-Fehér beside the words Post-Training Changed Everything
    How Post-Training Transformed DeepSeek V4 Flash
    Two Minute Papers4m 31s
  20. Theo Browne beside the words Slow Down AI Now?
    Why AI Labs Want the Ability to Slow Down
    Theo32m 18s