A developer built ChessIQ, a positional evaluation trainer that asks players to judge whether White or Black is better in real game positions before revealing Stockfish evaluations and AI-generated ex…
Mainline, an open-source, science-based chess training app, is now in closed beta, offering adaptive training programs that adjust to users' games, time budgets, and goals. The app, licensed under AGP…
A developer's chess engine search gained 62% more nodes at fixed time and about +80 Elo after batching neural network evaluations, reducing batch-1 forwards from 59% to 11% and raising mean batch size…
A developer reduced a chess engine's size by 70x after retraining its architecture, boosting its Lichess rating from ~2294 to ~2588 Elo. The v2 model, with 122M parameters and 14 blocks, achieved 53.3…
Brendan Long, an independent developer, launched a chess training app at chess-pretraining.brendanlong.com that applies imitation learning principles to human chess improvement by having users choose …
A developer's attempt to build a chess engine using ternary weights and a looped transformer failed, as both innovations proved ineffective, and the engine's strength came from a 1958 search algorithm…
A data mining analysis of 6 million Lichess puzzles reveals 15,782 instances where a queen is lost due to a bishop checking the king with a discovered attack on a hanging queen. The research uses GofC…
A developer built a chess bot using a transformer architecture with 11 million parameters, achieving a 1500 Elo rating from the model alone and 2100 Elo when combined with Monte Carlo Tree Search. The…
A developer has built a chess trainer that uses AI to analyze games and generate personalized puzzles, and is now seeking beta testers. The platform connects to Chess.com or Lichess accounts to target…
The University of Toronto's Computational Social Science Lab released and open-sourced Maia-3, a chess engine that predicts human moves rather than optimal ones, on Tuesday. The model achieves a 57.1%…