NYU's Tristan Buckmaster accuses OpenAI's Sébastien Bubeck of racing to claim credit for a Navier-Stokes proof after learning about his unpublished work with Anthropic's Levent Alpöge.
As the leading AI labs battle for math supremacy, OpenAI spent millions of dollars and cracked the Navier-Stokes problem. Rivals are already challenging AI’s biggest math breakthrough yet.
OpenAI announced a solution to the Navier-Stokes problem. But could its A.I. models have used data from two mathematicians working on a similar breakthrough?
According to The Information, OpenAI's primary concern is not solving the Hodge Conjecture but announcing they did so without further infuriating mathematicians.
OpenAI beat humans to solving the Navier-Stokes problem, but mathematicians say the AI's solution isn't telling them much.
Mathematicians say they're still unpacking OpenAI's solution for the Navier-Stokes problems because the AI's proof is nearly ...
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Exclusive: 40-year-old math problem solved in two months with AI... Could the Fields Medal become obsolete?
Last month, a paper uploaded to the preprint site ‘arXiv’ drew global attention from the mathematics community. The first ...
In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...
Today may go down as the biggest day in math in at least two decades, if not far longer. In a development that crystallizes an existential shift in humankind’s oldest intellectual discipline, ...
The company’s announcement is the most dramatic sign yet that artificial intelligence is fundamentally transforming the field of higher mathematics.
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. OpenAI's Astra model has reportedly solved ten complex, decades-old mathematical problems ...
Google DeepMind's Gemini agents found proofs for open math problems, including Erdős problems unsolved for 56 years, at low ...
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