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Nathan Lambert

What Nathan Lambert thinks about AGI

@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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Only Nathan Lambert on AGI. See everyone on AGI

3 dated positions, 2025 to 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 readingAI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning.

    creativity

    Their wordsAI has always been very jagged, and we are making models which are superhuman goal-seekers at math and software engineering, but they have massive limitations on intuitions, creativity, and other types of reasoning that humans are strong at.

    ↗One resignation turned the embers of AI fear into a wildfireinterconnects.ai 3rd of 3 in this piece

  2. 19 months earlier

  3. Our readingLanguage models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.

    measuring intelligenceLLMs

    Their wordsI think my personal definition of AGI is much simpler. I think language models are a form of AGI and all of this super powerful stuff is a next step that's great if we get these tools. But a language model has so much value in so many domains that it's a general intelligence to me.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 8th of 44 in this recording

  5. Our readingAI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.

    recursive self-improvement

    Their wordsAnd for that reason, there's physical constraints to things like AGI, like recursive improvement to kill us all type stuff. For the physical reasons and for how humans have figured things out before, I'm not too worried about AI takeover.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 43rd of 44 in this recording