OpenAI CEO Altman: Mathematicians' Perspective Evolves from Doom and Gloom to AI Acceptance
1 day ago / Read about 0 minute
Author:小编   

According to Business Insider, OpenAI CEO Sam Altman, during a talk at Stanford University, revealed a notable shift in mathematicians' attitudes towards OpenAI's venture into mathematics. Initially, there was a sense of pessimism, with some believing that "the field of mathematics is doomed." However, this sentiment has now given way to an acknowledgment of AI's essential role in numerical and proof-based research. Altman addressed an audience of hundreds of students who were apprehensive about their future career prospects. He likened the psychological transformation experienced by mathematicians to the stages of mourning: initially, there is disbelief, with the notion that the field is on the brink of collapse; by the third day, this disbelief morphs into anger, directed at OpenAI's methodologies; and by the fifth day, many start to come to terms with reality, recognizing that while the career trajectory for mathematicians may be altered, it could potentially lead to better outcomes.

In September of this year, OpenAI made headlines by announcing that its model had successfully solved the renowned Navier-Stokes equation, a feat that stirred up considerable controversy. Some academics accused OpenAI of utilizing chat log data inappropriately, while others in the mathematical community lamented that the AI failed to demonstrate the derivation process, rendering the verification work less stimulating. Moreover, undergraduates at the California Institute of Technology organized a 'Math Marathon' competition aimed at promoting the use of AI to tackle challenging problems. However, this initiative faced backlash from over 700 scholars who condemned it. In response, OpenAI withdrew its sponsorship. After the organizers revised the competition rules, it is now set to take place in November.

Mathematician Terence Tao also weighed in on the matter, stating that the "romantic era" of mathematics has drawn to a close, and leading scholars are now adapting to the novel process of verifying AI-generated work results.