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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
What Albert Cheng actually said
- 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.
Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us
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