Erik Allebest of Chess.com: Transforming a Niche Business into a Global Phenomenon
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Black Box Neural Nets in Chess Evaluation
Neural nets are being used in chess evaluation to determine good and bad moves based on pattern recognition rather than human-defined rules. This approach, adopted from AI development, allows the nets to learn and evaluate positions in a unique manner, although the exact process remains a 'black box' to humans. While traditional chess engines still utilize search tools, neural nets are now employed for position evaluation. This transformation in chess evaluation marks a shift from the romantic and creative era of the 1800s to a more objective and algorithmic approach.
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