Researchers have developed Otter, a new AI model designed to predict human chess moves. Otter distinguishes itself by treating chess play as a sequential, time-aware process, incorporating the last 20 moves and clock pressure into its predictions. Trained on a massive dataset of Lichess games, Otter achieves high accuracy, surpassing previous models like Maia 2 with significantly fewer parameters and less training data. The project emphasizes its commitment to open science, releasing the code, trained models, and complete training logs. AI
IMPACT This research demonstrates a novel approach to modeling sequential decision-making in games, potentially influencing future AI development in strategy and prediction tasks.
RANK_REASON The cluster describes a new AI model released as a research paper on arXiv, detailing its architecture, training, and performance against prior work. [lever_c_demoted from research: ic=1 ai=1.0]
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