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Chess Challenge: Optimal Strategy to Beat Magnus Carlsen with AI-Assisted Proxies

A chess player with a 1500 Elo rating is offered a billion dollars to beat Magnus Carlsen (2800 Elo) in a one-minute bullet chess game, with the stipulation that the challenger has one year to complete the game. The challenger cannot beat Carlsen directly due to the Elo difference. Instead, the optimal strategy involves a chain of proxies, where the challenger beats a slightly stronger player, who then plays the next stronger player, and so on, until a proxy plays Magnus. This strategy leverages the significant time advantage at each step to overcome the Elo deficit. Analysis suggests that a chain of seven games, with six proxies, provides a 59% chance of success. AI

RANK_REASON The item is a thought experiment about strategy in chess, using a hypothetical challenge involving a strong player and a significant time advantage, rather than reporting on a new AI development.

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Chess Challenge: Optimal Strategy to Beat Magnus Carlsen with AI-Assisted Proxies

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The item is a thought experiment about strategy in chess, using a hypothetical challenge involving a strong player and a significant time advantage, rather than reporting on a new AI development.
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  1. LessWrong (AI tag) TIER_1 English(EN) · Taylor G. Lunt ·

    The Magnus Challenge

    <p>Let's say you're a club chess player with an Elo of 1500 (early intermediate). If you can beat Magnus Carlsen, rated 2800, at a game of one minute bullet chess, you win a billion dollars. Magnus only gets one minute on his clock, but you get one year on your clock.</p> <p>Even…