More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The genus-3 polyhedron is what's known as a toroidal polytope. It may be hard to believe, but mathematicians are still discovering shapes . The latest three-dimensional example is far stranger than your standard cube or pyramid. Dubbed the genus-3 polyhedron by Ruslan Mizhaev, the independent researcher's newly identified shape features eight faces arranged so that every pair shares at least one edge.

Don't be fooled by this summer of AI hype Breathless claims about AGI and new capabilities fall apart pretty quickly under scrutiny. It's been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI-Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed by Anthropic's claim that one of its models had made a mathematical breakthrough; soon OpenAI claimed a mathematical breakthrough of its own. Most recently, Anthropic engineer Jacob Coxon went viral announcing his departure from the company, claiming that it and OpenAI are "racing straight towards self-improving superintelligence and gambling with our lives."

Powerful AI models have created an existential risk to the field, but researchers can't stop relying on them because they're too useful. Mathematician Tristan Buckmaster believes OpenAI used his work to rush ahead and beat him to solving a legendary math problem with a $1 million bounty. But that's not been enough for him to stop using the company's models--and he's not the only mathematician that feels that way. "Even if you don't agree with any of this, you're kind of stuck. With AI being so useful, it's hard to completely prevent oneself from using it," Buckmaster tells WIRED.

AI just solved one of the world's hardest math problems. In late July, one of the world's most famous mathematicians issued a warning to his field. Math is entering a "turbulent period," the UCLA professor Terence Tao said in front of a packed lecture hall at the International Congress of Mathematicians. AI is getting so good at math, he said, that it's causing a "crisis in our mathematical values and practices." Earlier in the same week that Tao gave his talk at math's most prestigious conference, a researcher at Anthropic had used Claude to disprove an 87-year-old math conjecture.

Steven Strogatz coauthored a book about how math is moving beyond human understanding. He spoke with WIRED about the seismic impact artificial intelligence has had on his life's work. Mathematician and author Steven Strogatz starts to cry when he talks about the artificial-intelligence -driven breakthroughs in his field over the past week. "The science is thrilling," the Cornell University professor says, "but there's a lot of human unpleasantness going with it." On Tuesday, OpenAI said it had used tens of thousands of agents to solve a 90-year-old math problem, which had a $1 million prize attached.

For many mathematicians, it is the weeks, months and years spent circling a problem that appeals. For many mathematicians, it is the weeks, months and years spent circling a problem that appeals. I t was a week that left mathematicians reeling. Hot on the heels of a flurry of cases of artificial intelligence furthering the field, OpenAI declared a major scalp: its latest AI model had cracked a Millennium Prize Problem, a puzzle with a $1m reward that had defied human brains for decades. The achievement bore little resemblance to how mathematical problems normally fall.

OpenAI's latest mathematical milestone has quickly become mired in controversy. Today, the company announced that its agents have solved one of the Millennium Prize Problems, some of the most important open problems in mathematics. Under normal circumstances, that solution would be a huge feather in OpenAI's cap. But the announcement has been overshadowed by accusations that OpenAI used NYU mathematician Tristan Buckmaster's and Anthropic employee Levent Alpöge's AI-assisted work on the problem as a jumping-off point and failed to credit them. OpenAI has denied the accusations. It remains uncertain if OpenAI's models made use of the work completed by Buckmaster and Alpöge, though Sébastien Bubeck, a member of the technical staff at OpenAI, said in a press briefing that the team was inspired to pursue the problem after hearing a rumor about Buckmaster and Alpöge's efforts.

A landmark announcement by the frontier AI lab has been overshadowed by accusations of impropriety. OpenAI said today that it has found an AI-generated solution to one of the biggest problems in mathematics --a 200-year-old equation that describes the natural behavior of fluids like water and air. The announcement appears to demonstrate the stunning power for AI to advance mathematics. But it has been marred by claims from another mathematician, Tristan Buckmaster, who says that OpenAI rushed ahead to solve the problem after learning of his and another mathematician's progress on the problem, and also then tried to influence who got credit for the work. The proof concerns the Navier-Stokes equation, one of the unsolved problems in the Clay Millennium prizes, which are each worth $1 million.

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Mathematical verification must be a national mission in the AI era, write Patrick Shafto, Ken Ono, and Scott Duke Kominers.