https://derekwang2002.github.io/ai-intelligence/en/projects/kls-ai-proof/ Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations. en Mon, 02 Nov 2026 16:56:00 GMT https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261004-03/ ev-20261004-03-published Thu, 22 Oct 2026 16:37:30 GMT New WATCH <p>Researchers proved the 31-year-old Kannan–Lovász–Simonovits conjecture, removing a dimension-dependent bound in high-dimensional sampling theory. The Microsoft-affiliated proof used a human-directed search across roughly 100 agent trajectories; two parallel proofs and a later Lean 4 formalization provide separate checks on the mathematics. The workflow result is retrospective evidence, not proof that an unguided model can solve comparable problems.</p><p>Recommendation: WATCH</p><p>Sources: <a href="https://www.microsoft.com/en-us/research/blog/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture/">Microsoft Research KLS article</a> · <a href="https://arxiv.org/abs/2610.01447">A proof of the KLS conjecture</a> · <a href="https://arxiv.org/abs/2610.05474">Independent proof of the KLS conjecture</a></p>