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Large language models are bad at chess: pattern recognition is not the same capability as searching one position very deeply.

Drawn from what Albert Cheng said

SubjectLLMs
Interesting
A private bookmark. Not a position, and never counted.

What Albert Cheng actually said

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  1. Albert Cheng

    Head of growth at Chess.com

    You know, interestingly, LM themselves are quite bad at playing chess. Like, they hallucinate moves. They look at patterns, right? They're they're very good at pattern recognition, but not so good at going super super super deep on a specific chess thing.

    Where this was said

    Watch from 0:49:44 plays here

    ↗Finding hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com)youtube.com

    video · 1h 25m · spoken · machine transcript

    All 26 korrents from this recordingthis one is 17th

Added to korrents 5 Oct 2025 · How quotes work · Something wrong? Tell us

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