OpenAI's Navier-Stokes Math Solution Sparks Controversy
OpenAI's announcement that it solved the Navier-Stokes problem has sparked a major debate among independent mathematicians and the culture of academic sharing.
OpenAI announced that it solved the Navier-Stokes existence and smoothness problem using a new artificial intelligence model and tens of thousands of agents. However, claims surrounding the process have caused unease in the scientific community.
The Navier-Stokes Problem and the Claim
OpenAI announced that an unpublished artificial intelligence model collaborated with human researchers to solve the Navier-Stokes existence and smoothness problem. The company stated that it would not accept the one-million-dollar prize for this result, which is one of the seven Millennium Problems designated by the Clay Mathematics Institute.
Research Process and Use of Agents
According to the disclosed data, the result in question was discovered as a result of a collaborative effort carried out by human researchers with approximately 10,000 artificial intelligence agents in less than 90 hours.
Tristan Buckmaster and Levent Alpöge Claims
It was stated that OpenAI's work began following rumors regarding findings in a similar field by independent mathematicians Tristan Buckmaster and Levent Alpöge. NYU mathematics professor Buckmaster confirmed that they were called by the company and informed about the process.
Credit Sharing and Controversial Conversation
Buckmaster claimed that OpenAI researcher Sébastien Bubeck made offers to him for credit sharing that involved removing the name of Levent Alpöge, an Anthropic employee. Buckmaster claimed that when he said he would reject the offer and publish this situation, he received a response from Bubeck regarding his career.
Bubeck's Statement and Apology
In a statement made on the platform X, Sébastien Bubeck stated that after learning Anthropic models were used, he could not evaluate Alpöge as an independent academic and apologized for the remarks he made.
Reactions from the Scientific Community
Mathematician Terence Tao stated in his evaluation on Mastodon that such dynamics could lead to original research being overshadowed by AI-assisted efforts before reaching its full potential. Tao warned that this situation could cause researchers to stop sharing their findings, thereby harming open science.