AI-for-math has hit short-horizon wins, but the next leap may need deeper theory
burny_tech · x · 2026-07-28
The post says AI-for-math has already produced exciting short-horizon results, especially counterexample-style disproofs such as Jacobian and unit-distance problems. The next frontier, it argues, is long-horizon breakthroughs that may require deeper theory.
It frames this as a historic milestone if achieved, and the attached image adds a broader mathematical context: a recent proof on Hilbert’s sixth problem, where Yu Deng, Zaher Hani, and Xiao Ma derived fluid equations from hard-sphere dynamics via Boltzmann kinetic theory.
Related event: AI Pushes Into Mathematical Search, but Deep Theory Remains Hard(3 posts)→
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