
I’m the author of a small research project on sequence-based chess models.
The model is not a traditional search engine. It does not run engine-style tree search over future positions. Instead, it treats a chess game as a sequence of moves and predicts the next move autoregressively, similar to how language models predict the next token.
The part I’m trying to evaluate more rigorously is whether the model is using full game history in a meaningful way, or mostly imitating local move patterns.
Challenge it on https://lichess.org/@/CatieChess-Magnus