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Home/Market & Regulation
Market & Regulation

Garry Tan Advocates for Open-Weight AI Labs in the US

TechCrunch AI·September 11, 2026·high confidence

Why it matters

  • →Encourages U.S. AI labs to adopt distillation techniques legally.
  • →Highlights the need for balance between open-weight and frontier AI labs.
  • →Warns against monopolization of AI power by a single entity.
Garry Tan Advocates for Open-Weight AI Labs in the US
©TechCrunch AI

Garry Tan, CEO of Y Combinator, suggests that U.S. AI labs should engage in distillation techniques to learn from frontier models, similar to practices by Chinese labs. He emphasizes that this should be done openly and legally, without resorting to illicit methods. Tan argues that AI intelligence, trained on public data, should be more accessible and not restricted by proprietary terms. His views contrast with calls for regulatory action against distillation, highlighting the importance of maintaining a balance between open-weight and frontier AI labs to avoid monopolization in the AI industry.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

OpenAI's Equity Stake Proposal for Americans — MIT Technology Review AI1Demis Hassabis Calls for US-Led Global AI Watchdog — The Verge AI2Debate Over Open-Weight AI Models Intensifies — TechCrunch AI3Silicon Valley Divided Over Chinese AI Models — WIRED AI4AI Industry Urges Against Broad Open-Weight Restrictions — TechCrunch AI5Anthropic Clarifies Stance on Open-Weights Models — Anthropic6Chinese Labs Lead in Open Model Scale — Hugging Face Blog7Tim O'Reilly Advocates for Open-Source AI — WIRED AI8Garry Tan Advocates for Open-Weight AI Labs in the USTop AI Labs Advocate for Slowing AI Development — The Rundown AI9AI Labs Clash with Trump Over Regulation — The Verge AI10The open vs closed AI model debate intensifies — MIT Technology Review AI11Albert Gu Proposes Learning Directly from Raw Data — AI Explained12Jul 6You are hereNov 2

How we got here

  1. 1
    OpenAI's Equity Stake Proposal for Americans

    MIT Technology Review AI · July 6, 2026 · Background

  2. 2
    Demis Hassabis Calls for US-Led Global AI Watchdog

    The Verge AI · July 14, 2026 · Background

  3. 3
    Debate Over Open-Weight AI Models Intensifies

    TechCrunch AI · July 20, 2026 · Background

  4. 4
    Silicon Valley Divided Over Chinese AI Models

    WIRED AI · July 24, 2026 · Background

  5. 5
    AI Industry Urges Against Broad Open-Weight Restrictions

    TechCrunch AI · July 24, 2026 · Related

  6. 6
    Anthropic Clarifies Stance on Open-Weights Models

    Anthropic · July 27, 2026 · Background

  7. 7
    Chinese Labs Lead in Open Model Scale

    Hugging Face Blog · August 14, 2026 · Background

  8. 8
    Tim O'Reilly Advocates for Open-Source AI

    WIRED AI · August 14, 2026 · Background

What happened next

  1. 9
    Top AI Labs Advocate for Slowing AI Development

    The Rundown AI · September 14, 2026 · Background

  2. 10
    AI Labs Clash with Trump Over Regulation

    The Verge AI · September 19, 2026 · Background

  3. 11
    The open vs closed AI model debate intensifies

    MIT Technology Review AI · October 13, 2026 · Background

  4. 12
    Albert Gu Proposes Learning Directly from Raw Data

    AI Explained · November 2, 2026 · Background

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