I Spent 10 Months Building the Most Human-Like Chess Bot
marcusbuffett · hn · 2026-10-20
Developer mbuffett published a long-form writeup on building a chess bot whose goal isn't to be strongest but to be the most human-like—making human-typical mistakes, showing style preferences, and fluctuating in strength.
The post covers modeling human error rates, extracting move tendencies from human games, and the engineering needed to make the bot feel believably imperfect. The HN discussion digs into why being "human-like" is harder than winning.
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