GoKawiil
Tech News
On October 6, 2026, OpenAI published a large repository of over 700 mathematical manuscripts claiming to solve significant problems, despite opposition from the mathematical community. The Association for Human Mathematics criticized the release, arguing it disregards scientific norms and was driven by power rather than scholarship.
OpenAI has formed an independent nine-member Advisory Group on Mathematics and Artificial Intelligence, announced via a post on Terence Tao's blog, meant to help review and communicate the company's mathematical results. The group's first task is reportedly helping coordinate release of numerous new results from an unreleased OpenAI model, but mathematicians who spoke to The Verge, including a group member, described the rollout as messy and confusing.
In a guest blog post, mathematician Amit Sahai says AI systems he has worked with are producing genuinely new mathematical ideas, not just fast calculations or restating known arguments. He argues this will make many researchers feel unable to keep pace, echoing struggles once faced by undergraduates who abandoned math research because top peers grasped concepts faster than they could.
OpenAI announced on 8 September that one of its AI models had solved a major open problem in fluid dynamics, the Navier-Stokes puzzle. The claim provoked backlash after researchers, including Tristan Buckmaster and Levent Alpöge, said they had already been working on the same problem using AI tools from OpenAI and Anthropic and were tipped off before the announcement. Twenty-five Fields Medal winners have since signed an open letter warning that AI involvement in mathematics raises serious plagiarism and credit-attribution concerns.
A group of mathematicians argues that while large language models have rapidly gained the ability to solve major outstanding problems, AI companies' drive to treat these solutions as benchmarks conflicts with how mathematics actually operates as a discipline. They describe this as a broader misalignment between AI industry goals and the values of the mathematical community, which relies on slow, collective processes of verification, teaching, and simplification rather than one-off problem-solving feats.