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Maia3 paper, team update, copyright, lint setup, zoom/layout fixes
- Add Maia3 Chessformer paper card on the home page
- Add Daniel Monroe to the contributors team
- Update copyright to 2026
- Fix ESLint on Windows: Prettier endOfLine "auto", ignore Next.js-
generated next-env.d.ts, plus prettier-plugin-tailwindcss class
ordering in candidates.tsx
- Fix layout shifts and drag-piece offset at non-100% browser zoom in
play mode: pin the left sidebar to a constant size, allow the FEN/PGN
containers to shrink below their content width so the FEN string no
longer pushes the board horizontally, manual scroll in the moves panel
to avoid scrollIntoView propagating to the document body
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
'This paper introduces Maia, a chess engine trained to imitate real human moves at different rating levels. Instead of always picking the best move, Maia predicts what a human player of a given skill would actually play. This makes it ideal for training, game analysis, and even coaching, as it helps players learn from realistic decisions rather than computer perfection. It was the first AI to prioritize human-likeness over engine strength, making it a powerful tool for improvement.',
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image: 'maia1',
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shortName: 'Maia 1',
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},
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maia2: {
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title: 'Maia‑2: A Unified Model for Human‑AI Alignment in Chess',
"Maia‑2 is the evolution of Maia into a single model that can simulate any skill level in chess. Instead of using separate models for different ratings, it understands and adapts to your level in real time. Whether you're a beginner or a master, Maia‑2 predicts the moves players like you would actually make. It's built to feel human, teach naturally, and support personalized analysis without needing to toggle between bots.",
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image: 'maia2',
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shortName: 'Maia 2',
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},
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maia3: {
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title: 'Chessformer: A Unified Architecture for Chess Modeling',
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link: 'https://arxiv.org/abs/2605.19091',
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description:
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'Introduces Chessformer, a transformer-based architecture that unifies chess modeling to capture how human players make decisions across a wide range of skill levels.',
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