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Tao and OpenAI’s Mark Chen Detail AI’s Leap in Math, Recasting Research and Teaching

They presented mathematics as a low-risk proving ground for building AI reasoning intended for eventual use in complex domains such as biology.

Overview

  • At a March 10 UCLA IPAM event, Fields Medalist Terence Tao and OpenAI executive Mark Chen discussed recent advances that elevate AI from weak assistant to credible collaborator in mathematics.
  • Chen reported longer autonomous working time and sharply fewer hallucinations, enabling dependable code generation, literature search, and verification of lemmas that mathematicians often skip writing out.
  • Tao said AI is shifting math research toward an industrial model with defined roles, offloading computation and verification to machines and opening the door to larger, coordinated projects.
  • Recent benchmark results, including International Mathematical Olympiad–level performance, were cited as evidence of the capability jump from Tao’s earlier description of AI as a very inefficient graduate student.
  • In Tao’s classes, homework scores have risen while closed-book exam results have fallen, leading him to predict that routine weekly assignments will be the first casualty of widespread AI use.