GoKawiilFrank Calegari urges mathematicians to adapt after OpenAI's 700-paper release
In a guest blog post, mathematician Frank Calegari responds to OpenAI's October 6 release of over 700 research papers, arguing the dump marks a turning point showing AI can make real contributions across mathematics. He criticizes the papers as poorly written, sometimes wrong, and inattentive to norms of attribution, while urging mathematicians to focus on what they can control—hiring, publishing, and training—rather than lamenting corporate behavior.
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Calegari's piece suggests the mathematics community faces a cultural reckoning over how AI-generated work fits into scholarly norms around credit, rigor, and peer review. His comparison to Hugo Duminil-Copin's reaction indicates unease among researchers who feel their open problems are being prematurely claimed as solved, which could fuel broader debate about AI's role in pure research fields previously seen as insulated from automation.
- OpenAI released over 700 research papers on October 6, which Calegari calls a watershed moment for AI in mathematics.
- Calegari criticizes the papers for poor writing, attribution issues, and some incorrect claims.
- He argues mathematicians should focus on internal practices like hiring and publishing rather than reacting to AI companies' behavior.
Source: terrytao.wordpress.com — Terence Tao, 2026-11-01
Published there as: “Mathematics has changed. Let's act like it”
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