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Mathematician Francesco Maggi sets out two possible futures for AI in mathematics and science: researchers empowered by new tools, or a research culture that loses some human understanding along the way.
Why it mattersIn a guest post on Terry Tao’s blog, Maggi discusses AI-generated proofs, the role of human judgement, and questions of authorship and corporate control. He argues for public AI infrastructure and stronger mathematical education as ways to protect independent scientific work. It’s an essay, not a verdict on where AI research is headed. But the tension it raises is worth chewing over: faster results are a poor bargain if fewer people can understand or check them.
Discuss: Should public funding prioritise open AI infrastructure for research, even if that means less control for the companies building the most capable systems?
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