Summary
Researchers trained a 50M-parameter transformer on chess game transcripts, enabling it to play at ~1500 Elo without explicit rules or board representation. Remarkably, the model developed internal, readable board state representations. The current experiment aims to explore its interpretability and theoretical implications by feeding it impossible moves.
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