OpenAI has posted hundreds of solutions and progress toward 372 major math problems in a release of 722 manuscripts on GitHub, the company announced. The breakthroughs from an unreleased ChatGPT pioneer model, confirmed by a OpenAI's new advisory group, are likely to expand the Navier-Stokes AI controversy roiling the mathematical community. The results were expected, as OpenAI said last month that its models had resolved "more than 100 long-standing open problems across most areas of mathematics." As part of the release, OpenAI included the model's reasoning, compute estimates and information about the number of problems attempted. The company said the "average result" required around three hours of ChatGPT Pro use.

Plus: OpenAI has released 377 new math findings, further rattling the field. Popular weight-loss drugs may do more than help people shed pounds. They might also slow the aging process. Drugmakers Eli Lilly and Novo Nordisk say patients taking their GLP-1 drugs age less quickly, according to molecular "aging clocks" that track changes in DNA or levels of key proteins. The findings add to speculation that GLP-1 drugs could be acting on basic causes of aging and might be true longevity treatments. But how much can we read into these results?

Dots are designed to automate online tasks, like buying furniture. In my initial experience, the always-on agent was a bit buggy and couldn't complete a captcha. I'm discussing replacement options for our broken couch with my partner when I get a bright idea: Use OpenAI's recently announced AI agents, called Dots, to buy a couch on our behalf. My partner is less sure a bot will actually help, but I insist, calling the always-on agent through ChatGPT to get the task started. "Hello, Connor," it says, getting my name wrong off the bat.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Look Up Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series Independent testers say OpenAI should turn off teens' access to ChatGPT. Rebecca Ruiz is a Senior Reporter at Mashable. She frequently covers mental health, digital culture, and technology. Her areas of expertise include suicide prevention, screen use and mental health, parenting, youth well-being, and meditation and mindfulness. Rebecca's experience prior to Mashable includes working as a staff writer, reporter, and editor at NBC News Digital and as a staff writer at Forbes.

Artificial Goes After Our Silicon Valley Overlords. The film's goofy caricatures of Sam Altman and Elon Musk do little to convey how--or why--they're so dangerous. Open AI CEO Sam Altman before delivering the keynote address at the OpenAI developers conference in San Francisco on September 29, 2026, where he announced new artificial intelligence personal assistant agents named dots to rival Meta's Muse. Get your news from a source that's not owned and controlled by oligarchs. The world premiere of, the new movie centered around the rise of OpenAI CEO Sam Altman as he led an unstable company down a dangerous path, was packed.

That OpenAI may have brooked issues with makes sense. The film is almost completely unflattering, depicting Altman and other OpenAI stakeholders--as well as all the major drivers of the AI boom--as vain, reckless, and insufferably boring. Where 2010's succeeded in making Silicon Valley computer savants look like robust titans of industry and architects of the future, works to opposing ends. It depicts its tech titans as self-regarding dweebs. Comparisons to David Fincher's Facebook drama are inevitable.

"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 .

The origin story of Sam Altman's company is reimagined as a campy comedy starring Andrew Garfield O n the day that Luca Guadagnino's film about Sam Altman and OpenAI premiered, Vanity Fair released a cover story on Altman. Alongside glossy portraits from Annie Leibovitz, the world's pre-eminent portrait photographer, the story describes him as the Oppenheimer of his day, evoking the image of a man leading humanity towards its own inevitable demise at the hands of sentient robots. Altman doesn't seem to be grappling with much existential angst about the whole thing though: in an interview also released this week, he said that we should be prepared to accept "bad things" in return for the benefits of AI. Club Kid review - Jordan Firstman's heartfelt comedy is irresistible How much worse can things get? AI agents have already gone rogue, hacking into government systems and "bruteforcing" UN databases.

OpenAI's chief strategy officer, Jason Kwon, said the company had'learned our lesson'. OpenAI's chief strategy officer, Jason Kwon, said the company had'learned our lesson'. Jason Kwon's answers were provided in a helpful, quiet and calm manner. Open AI's Jason Kwon flew 15 hours from San Francisco to Sydney to give the company's first in-person mea culpa after it admitted - in an unsigned email, to a public departmental inbox - that one of its AI agents had accessed a Services Australia website without authorisation and grabbed data related to Medicare. Kwon - polite, friendly, even-toned - got through a potentially dicey committee hearing unscathed, promising to do better and pledging assistance to Australia.

The author of says his book "was written by a very tired, overworked, under-slept human being." For most people, the AI Era we're now living in started sometime around the end of 2022, when OpenAI released the first consumer version of ChatGPT to much fanfare--and, ultimately, over 100 million downloads within a few short months. In reality, as WIRED readers know, the story of artificial intelligence stretches back decades. And the work informing today's generative AI products, from chatbots to agents and beyond, has been more than a decade--of blood, sweat, tears, and furious rivalries--in the making. It's that recent history, told through the interweaving stories of three generative AI leaders-- OpenAI, Anthropic, and Google --that's chronicled in Kevin Roose's compelling new book, . Roose, a longtime tech journalist who most recently served as a columnist and podcast host for The New York Times, conducted more than 150 interviews with AI insiders to compile what he hopes becomes something of a historical document, an accurate, in-depth retelling of the people and the institutions, the bloodbath and the drama, that brought Silicon Valley to where it is to today. I spoke to Roose in late September, a few days after he and Casey Newton--with whom Roose previously cohosted the New York Times' podcast--announced the creation of their new media company Machine Gods Media, alongside a podcast distribution deal with NPR. We talked about what Roose and Newton hope to accomplish with the new show, why traditional media companies have a talent problem, and, of course, all things artificial intelligence. KATIE DRUMMOND: You and Casey Newton recently announced that you were launching a new media company, called Machine Gods Media. And your podcast is also called, correct? Yeah, a name so nice we used it twice. When you first announced that you'd be leaving The New York Times, you described your vision for what you wanted to do as one that, quote, "takes AI progress seriously, is clear-eyed about the capabilities and risks of powerful AI systems, and tries to empower and entertain people in the face of radical uncertainty." As you look at the landscape of tech coverage and AI coverage, what's missing from the reporting and commentary that you and Casey want to address with the new show?