Jacques Pesnot Lerousseau @jacquespesnot.bsky.social · 10/08/2026Then I can't resist pointing you this paper that shows the emergence of internal representations (the chess board, the location of the pieces, etc.) in a small transformer trained solely on next character prediction (arxiv.org/abs/2403.154...) 100
Jacques Pesnot Lerousseau @jacquespesnot.bsky.social · 10/08/2026I would be careful with definite statement about LLM capacities. What you say was true a few years ago but not anymore. The current best reasoning models are not "absolutely awful at chess" (see maxim-saplin.github.io/llm_chess/).maxim-saplin.github.ioLLM Chess LeaderboardLLM Chess Leaderboard comparing LLMs in simulated chess vs Random and Komodo Dragon. Rankings by Elo, win/loss, game duration, and tokens. 110
Jacques Pesnot Lerousseau @jacquespesnot.bsky.social · 06/01/2026@summerfieldlab.bsky.social and I are very happy to share this paper! Building on work by @scychan.bsky.social, we show that how people learn depends on the distribution of examples they see, and changes in a way that’s very similar to transformer models. 2238