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AI
2026-09-14 00:13:13

Two high school students use AI to push forward an open problem linked to June Huh’s Lorentzian polynomial work

A research result circulating in UCLA’s math community has drawn unusual attention: two high school students, Aayush Bathija and Prince Rohatgi, working under UCLA postdoctoral scholar Daniel Soskin, posted a 75-page paper on arXiv titled Bounded Ratios for Lorentzian Polynomials. The report says the paper advances a problem tied to work by June Huh, the 2022 Fields Medalist, in a direction that had not previously been completed. The paper focuses on a technical question inside Lorentzian polynomial theory: which ratios formed from polynomial coefficients stay uniformly bounded, which can grow without limit, and, when a bound exists, what the sharp bound is. According to the report, the paper’s main structural theorem extends earlier quadratic results to arbitrary degree and gives a full criterion based on discrete convexity conditions. The story also stands out because of how the work was done. The authors wrote in the acknowledgments that Claude Opus 5 and GPT-5.6 Sol were core tools in the project, used for computation, proof ideas, and editing support. They also stated that some AI suggestions were useful while others were misleading, and that all computations were independently verified by the authors, who take responsibility for the paper’s contents. The timing added another layer of debate, coming just a day after a public letter signed by 25 Fields Medalists warning about AI’s impact on mathematics.

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Two high school students use AI to push forward an open problem linked to June Huh’s Lorentzian polynomial work
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