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Leading mathematicians fear AI is making their field dumber, and warn the rest of us is next
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- DeepHorus
On September 12, 2026, twenty-five winners of the Fields Medal, mathematics' highest honor, issued a joint statement warning that the goals of the AI industry and mathematics are 'severely misaligned.' They fear AI's mass production of solved problems undermines conceptual understanding, the discipline's true purpose. The warning, they say, extends to all intellectual work.
Large language models can now crack 'major outstanding problems in many fields of mathematics,' the statement notes. AI companies treat these problems as benchmarks to conquer, not as paths to insight. This approach could destroy fertile ground instead of breathing life into new ideas.
Famous unsolved problems serve as 'landmarks and lighthouses' for measuring understanding, the signatories write. When someone cracks one, the solution matters less than the new thinking it took to get there. Mathematicians traditionally spend years dissecting that thinking through talks, discussions, and simplifications.
AI threatens to short-circuit that process, raising 'severe attribution and plagiarism questions.' AI-generated solutions often arrive without proper writeups, isolation of new methods, or citation of prior work. Without mathematicians to integrate AI-conceived ideas into the canon, those ideas 'would never become fully alive.'
Signatory Terence Tao had previously warned of an AI-driven foundational crisis in mathematics. The statement also lands amid a controversy between two mathematicians and OpenAI over a Millennium Prize Problem. OpenAI's Jakub Pachocki had said the company avoided optimizing models for math, yet reportedly trained math models shortly afterward.
The signatories see a 'general threat to intellectual work,' where training develops understanding and the ability to ask new questions. They call for realigning AI companies' goals with mathematics'. The future of the field, they insist, depends on preserving the human transmission chain between mathematicians.
