
The KLS constant is O(log^1/4 n)!
arxiv.org/pdf/2607.24164.
Speaking informally, the KLS conjecture says that the best way to cut a convex shape into two equal volume halves so as to minimize the newly exposed surface area is more or less just a straight cut. The KLS constant measures the gap between the best arbitrary cut and the best straight line cut. Kannan, Lovász, and Simonovits conjectured that this term is O(1).
About two weeks ago I had a breakthrough on some adjacently related work, and I had noticed that it would be quite fruitful to study the KLS conjecture through something in convex geometry literature known as a moment measure after I had discovered an interesting formula.
This moment measure satisfies a second order PDE known as a Monge–Ampère equation. I used ChatGPT 5.6 Pro to differentiate this equation, and then after a lot of experimentation, ChatGPT 5.6 Pro produced a striking result, which after a some extra work gave what is now Theorem 2.5 in the paper.
At the time of uploading this paper, it seems that independently Yuansi Chen and Boaz Klartag had used ChatGPT 5.6 Pro to produce a slightly weaker version of Theorem 2.5, which still is of course the main breakthrough, see here: weizmann.ac.il/math/klartag/s…. Quite remarkable!
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