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At an OpenAI workshop on the future of mathematics, a speaker explored a cautionary scenario where despite AI becoming superhuman at mathematics, mathematical progress stalls due to an explosion of low-quality, duplicative outputs flooding platforms like arXiv while traditional community spaces like MathOverflow decline. The proliferation of AI-generated proofs and papers—often solving identical problems simultaneously across different research groups—creates marginal value while diverting effort from meaningful mathematical advancement.
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