Steven Strogatz AI reflections have evolved in recent weeks, the Cornell University mathematician said, as he moves from unease to a measured acceptance of artificial intelligence in his field.
“I think I’m pretty far along into the acceptance phase,” the 67-year-old scholar said in an interview Wednesday. Strogatz has drawn widespread attention since he grew emotional last month on a national podcast while discussing the brevity of human life, a moment that turned him into an unexpected voice for many in the math community.
In the weeks since, he said he has received hundreds of messages, from students and clergy to engineers at OpenAI who work on the company’s math capabilities. Before OpenAI released hundreds more solutions on October 6, he received a call from senior figures at the company that he interpreted as an attempt to gauge his reaction in advance. He also has a new book due out this month that touches on AI.
Steven Strogatz AI outlook grows more optimistic
On the day of the October release, Strogatz publicly praised one solution as “particularly amazing,” likening the leap to Bob Beamon’s 1968 long jump that demolished the world record. The reaction marked a shift from earlier anxiety to what he calls realistic optimism.
Part of that approach flows from his role in the classroom. As a lecturer facing undergraduates seeking clarity in an unsettled moment, he said he aims to avoid fatalism about the future of mathematics. “I want to give a message of happy optimism, but not stupid optimism,” he said, urging vigilance and resilience.
During a recent Cornell class, after more than an hour on quantum mechanics and the Schrödinger equation, a difficult question arose. Rather than fill the blackboard, Strogatz opened his laptop to consult an AI system. He said he uses such tools to deepen understanding once students have grappled with the ideas on their own. “I find all kinds of ways to use AI to improve my class,” he said.
AI’s surge unsettles mathematicians
Even with his cautiously positive stance, Strogatz said the discipline is undergoing a reckoning. Jeers gave way to astonishment, then soul-searching, after OpenAI in September posted proposed solutions to the Navier–Stokes Millennium Prize problem, a celebrated challenge concerning whether the equations that describe fluid motion can fail. He said today’s AI systems operate at levels comparable to or better than many graduate students, raising questions about what happens to the hard-earned joy of a breakthrough.
Strogatz recalled a formative moment from his youth, when years of pondering how systems synchronize, like fireflies blinking on a summer evening, culminated in a vivid dream of swirling colored fluids that led to a correct formulation. “That was a big happy time,” he said. He worries that if AI does the solving, future researchers may lose the deep insights forged through struggle. “Unless you struggle like that and suffer, you won’t think of anything deep,” he said, before adding that he does not want to overstate the point.
For now, Strogatz is trying to balance the promise of powerful tools with the human experiences that drew him to mathematics in the first place. As he continues to teach, write, and engage with technologists, he said his aim is to keep eyes open, stay strong, and help students navigate the change.