Chess-GPT's Internal World Model

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  • chess_llm_interpretability

    Visualizing the internal board state of a GPT trained on chess PGN strings, and performing interventions on its internal board state and representation of player Elo.

  • fishnet

    Distributed Stockfish analysis for lichess.org (by lichess-org)

  • > The problem is that a stockfish based bot knows some very strong moves, but deliberately plays bad moves so it’s about the right skill level.

    What are you basing this on? To me it seems like difficulty is set by limiting search depth/time: https://github.com/lichess-org/fishnet/blob/master/src/api.r...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • maia-chess

    Maia is a human-like neural network chess engine trained on millions of human games.

  • There is a very interesting project on this exact problem called Maia, which trains an engine based on millions of human games played on Lichess, specifically targeting varying levels of skill from 1300 to 1900 Elo. I haven't played it myself, by my understanding is that it does a much better job imitating the mistakes of human players. https://maiachess.com

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