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AI vs Human Tells in Poker | Tech News
Description
ESPN’s new AI poker tool, trained by an ex-Air Force engineer, tried to decode player tells—eye movements, chip handling, posture—to predict hand strength during the World Series of Poker. While flashy and data-driven, pros like Shaun Deeb and Michael Gagliano scoffed, arguing cameras miss the human nuance: breathing, body language, verbal cues. Though used in some broadcasts, it was sidelined at the final table—viewers might find it cool, but veterans say it’s a gimmick that doesn’t replace real-time human intuition. Deeb even bets his team beats any AI head-to-head.
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