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Solution to Navier-Stokes problem has mathematicians at odds over AI’s implications for field CELINA ZHAO A computer simulation depicts instabilities in two fluids, turbulence the Navier-Stokes equations seek to describe. On 11 September, 3 days after OpenAI said it had solved one of the toughest problems in math with a swarm of 10,000 autonomous artificial intelligence (AI) agents, Brown University mathematician Javier Gómez-Serrano stood before a packed lecture hall at Harvard University, with another 1000 people tuned in on Zoom, to give a hastily convened talk on how the company had pulled it off. By many measures, Gómez-Serrano is more AI-pilled than most mathematicians: For years, he’s partnered with Google DeepMind to apply its AI tools to several open problems. …
摘自《科学》(Science)第393卷 第6817期 · 2026年9月17日,Celina Zhao。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。