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What Noam Brown thinks about LLMs

@noam-brown · 18 positions · 0 changes of mind

Research scientist at OpenAI, who built the poker AIs Libratus and Pluribus and helped pioneer test-time compute and reasoning in language models.

Noam Brown did not write this page.

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4 dated positions, 2026, in their own words. Our reading of what Noam Brown has said — not written or endorsed by them.

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  1. Our readingWithin a year a model will write an entire state-of-the-art poker solver in one shot — the work of a whole PhD thesis.

    Their wordsAnd I wouldn't be surprised if you know 6 months or a year from now, the model is able to do zero shot an entire poker solver, basically my entire PhD thesis in one go.

    ↗Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brownyoutube.com 6th of 18 in this recording

    Interesting

  3. Our readingA model can make an existing algorithm a hundred times faster and still cannot invent a better one, however long you give it.

    Their wordsAnd then I was like, okay, can you come up with an algorithm that is better than the algorithms that I came up with or that anybody else came up with and go ahead and like look at all the published work and synthesize that and then try to come up with something novel and it it's not able to do it. And I can give it a lot of time and it's it's still not able to do it.

    ↗Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brownyoutube.com 14th of 18 in this recording

    Interesting

  5. Our readingHumanity's advantage is accumulated shared knowledge rather than higher intelligence — and AI models, which vanish with their context window, have none of it.

    Their wordsit's not that humans have become smarter over it's not that they evolved to become smarter over, you know, the past 50,000 years. It's that humans are able to do a lot more today than they were back in caveman times because there have been billions of humans thinking for a long time and building off of each other's accumulated knowledge.

    ↗Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brownyoutube.com 16th of 18 in this recording

    Interesting

  7. Our readingOn everyday high-stakes questions, a model's answer can now be trusted more than an expert human's.

    Their wordsAnd I think they're at a point now where they've actually been at a point for a while now where I feel like I can just trust the outputs arguably more than I could trust the output from from a human,

    ↗Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brownyoutube.com 17th of 18 in this recording

    Interesting