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Nathan Lambert

What Nathan Lambert thinks about America

@nathan-lambert · 55 positions · 1 change of mind · On ppll ↗

Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.

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6 dated positions, 2025 to 2026, in their own words. Our reading of what Nathan Lambert has said — not written or endorsed by them.

  1. China

    Open-weight models are becoming an essential tool for AI diffusion, and the best path to get ahead of these risks and unbalanced relationships where American companies rely on models built in China is to continue to enable investment in open models in the US.

    ↗The current balance of power in open modelsinterconnects.ai

  2. 10 days earlier
  3. The leading open models have all come from Chinese labs since ~2024.

    ↗Open-Source AI & Open Models Reading Listinterconnects.ai 2nd of 3 in this piece

  4. 2 days earlier
  5. It feels very likely in 50 years that the average American's day to day life looks very similar.

    ↗When will average people feel AI’s impact?interconnects.ai 1st of 3 in this piece

  6. energy

    For knowledge work, which is roughly half of the U.S. economy, AI is as fundamental as electricity (or quickly will be so, with rapid improvements to agents in the next 18 months).

    ↗When will average people feel AI’s impact?interconnects.ai 2nd of 3 in this piece

  7. 19 months earlier
  8. Anthropic

    We know that a lot of the American companies are very invested in safety, and that is the central culture of a place like Anthropic. And I think Anthropic sounds like a wonderful place to work, but if safety is your number one goal, it takes way longer to get artifacts out.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 18th of 44 in this recording

  9. LLMsopen sourcemotivation

    until there are feedback loops of open source AI, it seems like mostly an ideological mission. People like Mark Zuckerberg, which is like America needs this and I agree with him, but in the time where the motivation ideologically is high, we need to capitalize and build this ecosystem around, what benefits do you get from seeing the language model data?

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 42nd of 44 in this recording