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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score67

Post says researchers used AI-assisted search to prove the KLS conjectureMachine translation

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A post says researchers directed a search in which AI agents explored roughly 100 research paths, while a researcher discarded weaker directions between rounds. The post credits the recursive method and error bound that completed the KLS proof to Song and Zhang.

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https://t.co/NSaqp7TutH

ReplyRohan Paul@rohanpaul_ai
A math problem older than Google has been solved, with AI doing much of the searching. Microsoft researcher proved this 31-year-old Math conjecture (Kannan-Lovász-Simonovits conjecture) after AI agents explored over 100 approaches. A 140-page proof, more than 100 AI-explored paths now have closed a question mathematicians had been working on since 1995. A human-directed search, with AI agents exploring roughly 100 research trajectories while a researcher cut weak directions between rounds, produced the criterion underpinning Song and Zhang’s proof of the Kannan-Lovász-Simonovits (KLS) conjecture. The AI explored candidate approaches, carried out derivations, helped prepare the manuscript and ran internal proof checks, while the recursive method and the error bound that finished the proof are credited to the 2 researchers. About the Kannan-Lovász-Simonovits conjecture: Picture a random walker wandering inside a convex shape: the conjecture says no secret narrow passage can trap it, so it can explore the whole shape efficiently, even in huge dimensions.
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