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A human player has beaten a top-ranked AI system at the board game Go.
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The human player, Kellin Pelrine, is one level below the top amateur ranking.
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Pelrine won 14 of 15 games without direct computer support.
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The victory exploited a previously unknown flaw in the AI system, as identified by another computer program.
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The AI weakness is shared by most of today's widely used AI systems, including ChatGPT.
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The winning strategy was suggested by a computer program designed by FAR AI, a Californian research firm.
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The software played over 1 million games against KataGo to find a "blind spot" that a human could exploit.
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The winning strategy is not too difficult for an intermediate-level player to learn.
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Pelrine used the same method to beat another top Go system, Leela Zero.
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The victory comes seven years after AI was believed to have taken an unassailable lead over humans at Go.