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Nathan Lambert

What Nathan Lambert thinks about innovation

@nathan-lambert · 55 positions · On ppll ↗

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

Nathan Lambert did not write this page.

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Only Nathan Lambert on innovation. See everyone on innovation

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

3 positions so far — this page is not yet offered to search engines.

  1. Our readingThe AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.

    Their wordsAnd my kind of statement is that I think the cycle from of having an idea and doing the experimentation to test it, I agree will be 10X faster very soon. But I don’t necessarily agree that I would say that AI researchers will be 10X more productive in net, which I would describe as the pace of the field’s complete understanding. And understanding is a different axis from just continuing to scale models. I think that’s one of my core confusions on the AI research side.

    ↗Debating RSI, the US-China Gap, and Jaggedness with JS Denain of Epoch AIinterconnects.ai

  2. 13 days earlier

  3. Our readingA powerful new technology that benefits only part of society is inherently politically destabilizing.

    Their wordsIt's highly destabilizing to have such a transformative, productive tool only bring half of society along.

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

  4. 4 weeks earlier

  5. Our readingThe pace at which dangerous AI capabilities spread is set by the least cautious developer, not the most careful one.

    Their wordsThe capability diffusion is determined by the lowest common denominator.

    ↗GLM-5.3: How Chinese labs keep stride with the frontierinterconnects.ai 2nd of 3 in this piece