What Nathan Lambert thinks about AI and science

@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.

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Only Nathan Lambert on AI and science. See everyone on AI and science

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

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

1. 22 Sept 2026, 13:37 UTC

   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. 6 weeks earlier

3. 12 Aug 2026

   Our readingProgress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing.

   Their wordsModels being stagnant in long-form, non-fiction writing should be alarming to those reliant on models autonomously solving grand, open science problems in the near future.

   ↗I wrote an AI textbook — how long until AI can do it better?interconnects.ai 1st of 3 in this piece