OpenAI Claims It Solved the Navier-Stokes Problem. We Asked Cornell Professors What This Means for the Future of Research.
The Cornell Daily Sun
Picture: The Cornell Daily Sun
OpenAI claimed in September that one of its models had solved a mathematical problem worth one million dollars: the Navier-Stokes Problem. The Navier-Stokes Problem is one of seven “Millennium Prize Problems” proposed by the Clay Mathematics Institute in 2000, each a famously unsolved mathematical problem with a million-dollar prize attached to finding a solution. On Sept. 8, OpenAI announced that an “internal OpenAI system” had solved the Navier-Stokes Problem — news that was followed by shock and uncertainty from mathematicians about how this solution was determined and who should get credit. Given that artificial intelligence seems to have solved a problem that challenged human mathematicians for decades, the announcement from OpenAI raised broader questions about the role of human researchers and the future of mathematics as AI capabilities grow.
This report was first published by The Cornell Daily Sun. What you see here is a brief excerpt. The full text is theirs.
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