Maia, a human-like neural network chess engine
We're thrilled to announce that www.maiachess.com is now in open beta, meaning everyone can access it! Maia is the most human-like chess AI, and is an ongoing research project at the University of Toronto developing fun, useful, and novel human-AI collaboration in chess. Please give it a try and let us know what you think. We're still rapidly improving and iterating on it. * Play Maia-2: Play the (updated) most human-like chess engine, tailored to your skill level * Analyze your games: See how you (or the pros!) stack up with both Maia’s human-based predictions and classic Stockfish…
Maia, a human-like neural network chess engine launched on December 1, 2020 with 10 votes, #1,043 of 3,242 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
Maia is a chess engine built on neural networks that mimics human playing style rather than pursuing optimal moves. Launched in 2020, it was developed to understand how people actually play chess, making it useful for players who want to study realistic game patterns and improve their decision-making. The engine is designed for chess enthusiasts, students, and analysts interested in human-centered rather than machine-dominated analysis.
written from the facts on this page · September 2026
From the sources
Maia is a neural network chess model that captures human style. Go beyond perfect engine lines by analyzing games with real-world context, training with curated puzzles, and seeing what players at higher rating levels actually do in every position.
In the maker’s words, at launch
We're thrilled to announce that www.maiachess.com is now in open beta, meaning everyone can access it! Maia is the most human-like chess AI, and is an ongoing research project at the University of Toronto developing fun, useful, and novel human-AI collaboration in chess. Please give it a try and let us know what you…
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I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://github.com/thomasj02/1e4_ai A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small…
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