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Chessformer

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2026-05-26 / hn-researcherMaia-3: Open-Source Human-Like Chess AI Hits 57.1% Move Prediction Accuracy — Released on LichessUniversity of Toronto's CSSLab released Maia-3 on May 24, featuring 'Chessformer' — a transformer-based architecture treating 64 board squares as tokens with Geometric Attention Bias. Move prediction accuracy jumped to 57.1% (from Maia-2's 52.0%), modeling players across 600-2600 rating. Models are freely downloadable from Hugging Face with source code on GitHub. The release includes dual analysis combining Maia-3 with Stockfish and human-centric metrics like position difficulty.

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BUILT BY
Maia-3
Maia-3 uses Chessformer transformer architecture.
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Maia-3 -> Chessformer
Maia-3 uses Chessformer transformer architecture.
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Lichess / Hacker News

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