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The End of Mathematics: When AI Overproduction Shrinks the Math Community

The End of Mathematics

Daniel Litt gave a talk at OpenAI imagining a future where AI is superhuman at math but progress stalls. He shows arXiv combinatorics submissions spiking while MathOverflow Q&A volume drops sharply since early 2025. Multiple groups and models are duplicating the same results—three teams independently proved Feige's 1/e conjecture almost simultaneously. By 2027, the dominant career strategy could be letting codex pick conjectures, prove them, and write papers, producing several per day that nobody reads. Colleagues already refuse to discuss work in progress for fear of being scooped by AI. The post does not spell out the full 2028 scenario.

Why it matters: Daniel Litt is a credible algebraic geometer, not a random blogger. He uses the divergence between arXiv submission volume and MathOverflow activity to argue AI is turning math research into isolated production — a sharp take backed by data. Score held back because it's still ...

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