Now It's Chasing the Rest of Science AI may soon be the default way to solve theoretical problems in economics, high-energy physics, and other fields, MIT researchers tell WIRED. Last week, I attended a talk at MIT by Neil Thompson, who studies progress in computing and artificial intelligence . Over the course of just half an hour, Thompson made a convincing case that several scientific fields are about to be upended by AI. As mathematicians reel from the way AI is automating their field, Thompson's latest study suggests that probability, statistics theory, economic theory, high-energy theory, gravitation and cosmology, and quantum physics may be next, thanks to the rapidly evolving capabilities of frontier models. Between mid-2024 and mid-2026, the study shows, the best AI models went from being able to correctly solve about 2 percent of theoretical problems in these fields to about 35 percent of such problems.

Generative AI has changed mathematics forever. In August, artificial intelligence company OpenAI announced ten advances in mathematics and computer science made with their as-yet unreleased model Astra. The discoveries cover a wide range of mathematical fields, including geometry, cryptography and coding theory. These ten are just the latest in a rapidly growing list of mathematical breakthroughs made by generative artificial intelligence (AI) systems. OpenAI accompanied the announcement with a statement on "responsibility to the mathematical community".

You're viewing the US edition You can switch to the UK, AU or IE homepage at any time using this menu. Ryan Reynolds' desperate attempt to save Blake Lively exposed in furious texts demanding Sony do his bidding... as studio bosses privately called his wife's behavior'epic level stupid' Read the uncensored'Cornell 7' Snapchat messages: Inside fraternity brothers' group chat... and Jane Doe's texts that came later Cornell Jane Doe texted student she later accused of gang-rape to try and identify campus gossips, telling him'I love you king' as they claim everyone was'jealous' of them Disturbing texts Boston police officer sent underage cadet who he groomed for years before'passing her around' with twin brother...now one of them is accused of staging her murder as a suicide Billionaire oil tycoon accused of brutally dumping girlfriend bought a $30m NYC penthouse...while claiming he couldn't support her because of'cash flow,' lawsuit claims - now he's calling out her'greed' I've been with my husband for ten years - but I will never give him my phone password. I know how abuse can start... and exactly how to protect my privacy in six simple steps Frail Julie Andrews won't act again and walks with a cane: As she turns 91 far from view, industry insider reveals what's happening with reclusive actress Megabank labeled'shameful' and'un-American' in explosive federal probe over'race-based' mortgages for black homebuyers in major Trump administration DEI crackdown Chilling new video and call recordings expose Gypsy-Rose Blanchard's relationship with baby daddy Ken Urker before his death on 34th birthday NYPD releases bodycam footage after ICE agents shoot migrant, 28, in NYC after he'used car as battering ram' with five-year-old son in vehicle Trump's simmering anger over secret plot to take down Barron and Melania... as he raids $400m war chest to combat'unprecedented' probe of first family if election fears come true Show-off Jackson Hole mother, 46, loved to brag about her $2.5m Hawaii home and luxury vacations while toting $2,600 Goyard bag... but now her greed has landed her in prison More leaked audio reveals Ken Paxton's bitter rival thinks he'll lose: 'We need to teach Republicans a lesson' DC Insider poll: Trump recently likened loyal aide Natalie Harp to a Price is Right model. Which TV show would you like to see them go on together? Taylor Swift and Travis Kelce's war with new neighbors over $5m Ohio mansion turns putrid: Locals fear raw sewage explosion, impaled deer and finally say the quiet part out loud at furious showdown meeting The AI'mathpocalypse': Artificial intelligence systems crack hundreds of unsolved problems, sparking fears that mathematicians could become obsolete OpenAI has sparked a crisis in the mathematics world after announcing an unreleased artificial intelligence tool has cracked hundreds of unsolved problems.

OpenAI's release of mathematical findings draws concerns from experts Leaders worry OpenAI is not doing due diligence to vet results and that AI models aren't accessible to broader field of mathematicians OpenAI has astounded mathematicians after releasing hundreds of new mathematical findings on Tuesday. The company published over 370 mathematical results across a variety of topics such as algebra, theoretical computer science and mathematical logic, showcasing what some of its most advanced artificial intelligence models are capable of. Last month, the company solved the Navier-Stokes equation, one of the world's toughest mathematical problems with a $1m reward for anyone who cracked it. The achievement prompted concerns from leaders in the field who say that frontier labs should not be testing the most advanced mathematical problems on proprietary AI models that are not accessible to the broader field of mathematicians. The Institute for Advanced Study in Princeton, New Jersey, an independent group of mathematical experts, said that it does not endorse the practice.

"There's a perception of mobster behavior" from leading AI companies, one mathematician tells WIRED as OpenAI prepares to release more than 100 new solutions to unsolved problems. In August, OpenAI convened around 40 mathematicians to discuss what to do if AI outpaces human capabilities in the field. The company hinted that its powerful models had solved hundreds of long-standing math problems, say people who were in attendance, but company representatives assured attendees it would not release the solutions all at once--an assurance OpenAI spokesperson Lindsay McCallum says the company is "not aware of"--and, worried by how the community might react, sought advice on how to publish the findings. Attendees responded with "a mixture of excitement and dread," but the meeting was a promising first step, recalls Northwestern University mathematician Bryna Kra. The group, she tells WIRED, asked the firm not to just publish them in a blog or tweet, like they had done with 10 problems earlier that month .

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.