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Videos about openly available AI models, weights, tools, communities, licensing, and deployment tradeoffs.

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  1. Nathaniel Whittemore in a blue top on the right beside the blue and white headline IF OPEN WEIGHTS CLOSE against black.
    What Restricted Open-Weight Access Could Mean for AI Costs
    The AI Daily Brief23m 35s
  2. Theo Browne in a blue top beside a bold blue-and-white editorial headline on a black background.
    Open Weights Are Not the Same as Practical Local AI
    Theo28m 11s
  3. David Ondrej beside the words Fine-Tune Giant Open Models
    How to Fine-Tune Giant Open Models
    David Ondrej29m 8s
  4. Bijan Bowen beside the blue and white words HY3 Punches Above Its Size
    Tencent HY3 Punches Above Its Size
    Bijan Bowen38m 40s1 VIEW
  5. David Ondrej beside the words Fable 5 Is Back
    How Fable 5 Changes Agent Orchestration
    David Ondrej30m 30s1 VIEW
  6. Pat Simmons beside the words GLM 5.2 vs Opus 4.8
    GLM 5.2 vs Opus 4.8 Across Real Workloads
    Pat Simmons37m 14s
  7. Pat Simmons beside the words Run AI on Your Own Terms
    Run AI on Your Own Terms
    Pat Simmons16m 52s
  8. Alex Finn in a blue shirt beside Local AI and Guide in white and Hardware in blue on a black background.
    How to Choose Local AI Hardware
    Alex Finn20m 15s
  9. David Ondrej gesturing beside the words Own Your AI
    Why Local AI Matters When Frontier Access Is Limited
    David Ondrej41m 48s
  10. 0xSero beside the words Run Frontier AI at Home
    What It Takes to Run Frontier AI at Home
    David Ondrej1h 35m
  11. Greg Isenberg in a blue shirt and Amir Motahari in a white shirt beside GLM 5.2 Gets Practical in white and blue on black.
    How GLM 5.2 Changes the Local AI Cost Equation
    Greg Isenberg22m 45s
  12. Ari Morcos and Rob Toews beside the words Who Controls AI's Future?
    AI Vibe Check: Lab Wars, Why APIs Might Vanish & Future Predictions
    Unsupervised Learning1h 6m
  13. Pierce Freeman and Richard Diehl Martinez in navy and blue tops against black, alongside the blue and white headline "FINDING BUGS IS ONLY HALF THE STORY".
    Mythos Security Findings: Discovery, Scaffolding and Rediscovery
    The Pretrained Pod20m 4s
  14. Pierce Freeman and Richard Diehl Martinez in blue and white tops against black, alongside the blue and white headline "POWERFUL MODELS, UNEVEN RESULTS".
    Mythos, Coding-Agent Reliability and Open Model Strategy
    The Pretrained Pod47m 45s
  15. Pierce Freeman and Richard Diehl Martinez in blue and white tops against black, alongside the blue and white headline "BEYOND UV: THE AGENT TOOLCHAIN".
    Astral, Codex and OpenAI's Small-Model Strategy
    The Pretrained Pod16m 33s
  16. Pierce Freeman, Richard Diehl Martinez, Andrej Karpathy against black with the blue and white headline "AUTOMATED EXPERIMENTS, REAL RESEARCH?".
    Karpathy's Autoresearch: Feedback Loops and Research Taste
    The Pretrained Pod15m 38s
  17. Pierce Freeman, Richard Diehl Martinez, Junyang Lin against black with the blue and white headline "QWEN'S TEAM, HYBRID MODEL BET".
    Qwen's Leadership Changes and Hybrid Attention Explained
    The Pretrained Pod10m 47s
  18. Pierce Freeman in blue gestures beside a smiling Richard Diehl Martinez in navy against black, with the blue and white headline 'DISTILLATION VS THE DATA MOAT'.
    Claude Distillation Allegations and the Changing Data Moat
    The Pretrained Pod7m 31s
  19. Pierce Freeman, Richard Diehl Martinez, Dario Amodei and Junyang Lin in white, blue, yellow and pink tops beneath "AI CONTRACTS, SPEED & SHAKEUPS" in blue and white on black.
    Anthropic's Pentagon Dispute, Faster Decoding and Qwen's Shakeup
    The Pretrained Pod41m 7s
  20. Pierce Freeman in an off-white shirt gestures beside a smiling Richard Diehl Martinez in blue against black, beneath the white and blue headline 'SEE HOW YOUR MODEL LEARNS'.
    Pico: Building Language Models You Can Analyze During Training
    The Pretrained Pod16m 55s