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Microsoft Researchers Prove the KLS Conjecture via Human-AI Collaboration

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On October 22, 2026, Microsoft Research announced that its researchers Xinzhi Zhang and Zhao Song have proven the Kannan-Lovász-Simonovits (KLS) conjecture. Proposed in 1995, the conjecture states that for log-concave distributions, the difference between the flattest hyperplane cut and the optimal arbitrary-shaped cut is bounded by a universal constant independent of dimension. This problem went unsolved for 31 years, and the proof was completed through a human-guided AI collaboration approach. Apart from the official Microsoft Research announcement, there have been no follow-up reports from other sources; details of the proof, its peer review status, and further reactions from the academic community have not yet been disclosed.

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10/22
  1. Microsoft ResearchSelected
    Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

    Microsoft Research's Xinzhi Zhang and Zhao Song have proved the Kannan-Lovász-Simonovits (KLS) conjecture, proposed in 1995, showing that for log-concave distributions the difference between the flattest hyperplane cut and the optimal cut of any shape is bounded by a universal constant independent of dimension.

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