What Do AI Math and Anesthesia Have in common...? #AI #OpenAI #Math #TerenceTao #Science
Researchers say AI-generated proofs could speed discovery, but 42% of OpenAI’s repository has been formalized in Lean and several manuscripts were withdrawn.
7 Articles
7 Articles
What’s the point of MIT? OpenAI’s math proofs have thrown students and researchers into chaos. - The Boston Globe
The aftershocks from OpenAI's proofs come at a time of deeper reckoning for MIT, where AI is almost all anyone can talk about on campus.
The resolution of hundreds of problems by the Californian firm has caused an intimate earthquake in the discipline for a week. Between sideration and doubts, leading scientists, including the Fields Medals Cédric Villani and Hugo Duminil-Copin, tell the fear of industrialization of research and hope that humans retain the ability to ask the questions that matter.
As AI solves complex maths problems, researchers ask: What makes a proof valuable?
As AI produces mathematical results at scale, researchers are debating what should count as progress in the field. Fields Medallist Terence Tao warns against optimising solely for problem-solving, while China has launched an alliance to advance AI-driven research in mathematics
OpenAI Just Changed What It Means to Do Math
OpenAI’s recent advancements in mathematics have sparked a shift in how complex problems are approached and solved. As highlighted by Two Minute Papers, one notable breakthrough involves solving the “irrational triangular billiards” problem, a long-standing puzzle about how light rays behave when reflected within triangular mirrors. OpenAI’s AI demonstrated that under specific conditions, these rays […]
What do AI math and anesthesia have in common...? #AI #OpenAI #math #TerenceTao #science
OpenAI released solutions to hundreds of open math problems, and it’s caused a real stir in the math community. Terence Tao, one of the world’s best mathematicians, just gave a lecture reflecting on it, and one of the big worries is that these results are a black box: they work, but we don’t underst
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