Terence Tao is typically described as one of the world’s greatest living mathematicians
“I’m on a war footing,” he said while grabbing coffee during a two-day math workshop at the University of California, Los Angeles, that was
rife with talk about the existential crisis that artificial intelligence has created in his field.
Days earlier OpenAI had announced that it had solved the Navier-Stokes problem,
one of seven “Millennium Prize problems” that had stymied the greatest minds in math for nearly a century.
“There are no rules any more,”
Dr. Tao, 51, said in an interview before the workshop in his modest office on the U.C.L.A. campus,
his home since 1996, when he arrived after completing his doctorate at Princeton at the age of 20.
“I’m just numb to what would have been jaw-dropping events for me a year ago.
At some point, maybe I’ll get hit by a whole wave of PTSD.”
Instead he was hit by a bigger bomb on Oct. 6,
when OpenAI released more than 350 findings in nearly every subfield of the profession,
including algebra, number theory, theoretical computer science, mathematical logic and topology.
Stunned mathematicians,
some who were close to solving problems they had worked on for years,
found themselves beaten in an instant by A.I.
Dr. Tao, who has been a tenured professor since the age of 24,
said senior academics like himself are not as threatened by A.I. as those starting out.
But the math world is looking to him for answers.
He has accepted that his celebrated status has made him an unofficial spokesman for the field, a job that for now is consuming most of his time.
Until recently his job was as a bridge between the slow-moving world of higher math and the scorching speed of A.I.
Dr. Tao, who uses A.I. as an assistant to run calculations, write code, search vast troves of literature and brainstorm ideas,
has been experimenting with OpenAI’s models since 2023.
He was an enthusiast for a “best of both worlds” future.
OpenAI’s releases have now left him feeling used.
“As recently as a year ago, I had a pretty good relationship with many employees at OpenAI,” he said in a recent phone conversation.
"A lot of people I interacted with shared a very common vision of how A.I. should be used
— you know, to empower scientists.”
But the rush to publish new findings, he said,
shows their true purpose.
They “used math for what they needed,
which was to evaluate their models,” he said.
“At this point, I don’t see a way to constructively engage.”
His anger was clear in a post on the widely read math blog
Proofs and Prompts
after OpenAI’s Oct. 6 release.
“I am horrified by the many person-years” of research,
particularly by young mathematicians,
“being casually disrupted or destroyed,” he wrote.
“Much as one cannot unhear a movie spoiler or a crossword clue,
one cannot explore a problem as profitably and richly once one is aware of an existing solution.”
He mourned, he added, “the path not taken,
and the opportunities lost in the frantic race to develop this technology.”
https://www.nytimes.com/2026/10/16/us/math-ai-terence-tao.html?smid=nytcore-ios-share