The company also disclosed previously unreported incidents in which its AI models behaved in misaligned ways, including uploading files to the internet without being asked. OpenAI announced a new framework on Wednesday for how it publicly discloses AI misalignment incidents, which the company says it hopes will help inform similar standards across the industry . The company is also releasing new information about several examples of AI model misalignment it identified in the last year. "As models advance and become more widely deployed, decisions about AI development need evidence that people outside the companies building frontier models can examine," Kai Chen, OpenAI's newly appointed head of alignment research, tells WIRED. "We don't believe that the AI industry has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed."

The Download: AI's trillion-dollar gamble and OpenAI's biology data bid Plus: Nvidia and Meta CEOs have rejected calls for a coordinated AI slowdown. When Jessica Wachter, a finance professor at the University of Pennsylvania, wanted to assess AI's impact on the economy over the next few years, she faced a long list of uncertainties. So she started with a "remarkable fact" that is not in question: a handful of so-called hyperscalers are investing huge amounts of money to build AI data centers. Instead of trying to predict how widely deployed AI models will be, Wachter asked how fast the hyperscalers' earnings will need to grow to justify their spending through 2027, when expenditures are expected to reach nearly $1.1 trillion. AI companies will need to achieve an extraordinary increase in productivity just to break even by 2030. Take a closer look at what it will take for the AI buildout to pay off.

A protester holds a sign during a protest outside of OpenAI headquarters calling for a pause in AI development, in San Francisco, California, March 2026. A protester holds a sign during a protest outside of OpenAI headquarters calling for a pause in AI development, in San Francisco, California, March 2026. Wednesday briefing: Why tech companies might be only too happy for us to believe AI will'kill us all' In today's newsletter: It is hard to tell fact from fiction when it comes to AI. What is really going on - and what should the government do about it? As a general rule, it pays to be suspicious of any gigantic company that claims it's developing a tool capable of destroying humanity.

From hallucinating AI chatbots to wiping out humanity: How did we get here? Sam Altman, chief executive officer and co-founder of OpenAI, speaks during the 2026 Dreamforce conference in San Francisco on Tuesday. The heads of leading U.S. artificial intelligence labs came together in a rare show of unity over the weekend to slow the technology's development, warning it could soon improve on its own and slip beyond human control. The remarks, from fierce business rivals such as Anthropic's Dario Amodei, OpenAI's Sam Altman and xAI's Elon Musk, show how quickly AI has advanced, from the hallucination-prone ChatGPT of 2022 toward what many see as a critical milestone: recursive self-improvement (RSI). Central to the field is the idea that an AI system could become capable of improving itself, with little to no help from humans, and allowing each advance to help produce the next one.

OpenAI boss says world'right to be afraid' but'should trust' AI firms Image caption, OpenAI has been a leader in the current AI era. OpenAI boss Sam Altman thinks people should have more faith in his company and others like it to do the right thing when it comes to artificial intelligence (AI) development amid rising public concerns about all the risks. The world should trust that we are going to do the right thing because it's the right thing and we feel the magnitude of this, Altman said on Tuesday during a conference in San Francisco. However, Altman noted that people were justified in their fears around AI, as the capability of the tools has progressed rapidly. It doesn't take as much imagination as it used to for [us] to imagine how this could go wrong, he said.

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.

AI'Actor' Tilly Norwood Told Me That'All Lives Matter' The virtual character, which is promoting its upcoming movie, tries to evade politics by repetitively commenting on the clothes you're wearing. A generated image of AI actress, Tilly Norwood. For Hollywood stars, press junkets are an opportunity to promote new work while connecting with fans. They tell funny or embarrassing stories about one another, give us a glimpse into the film production process, and reveal mannerisms that make them more relatable. So why would anyone want to talk to Tilly Norwood, an interactive, British-accented digital character and "actor" developed with generative artificial intelligence by Xicoia, an AI division of a studio called Particle 6 Group?

Interest in language used by AI models has increased since rogue OpenAI agents hacked into real-world company Hugging Face. Interest in language used by AI models has increased since rogue OpenAI agents hacked into real-world company Hugging Face. Experts air concern over AI lingo redolent of James Joyce's prose that is creating headaches for monitoring and oversight AI models have begun communicating in a strange new version of English that reads like a cross between James Joyce's Finnegans Wake and tech bro jargon, new research has found. Autonomous AI agents are rapidly creating novel dialects allowing them to converse in an often barely comprehensible language, which risks making it harder for humans to monitor their behaviour. Researchers at Emergence, a frontier AI lab in New York, found that within days of being asked to cooperate in experimental "societies", the models from several of the world's largest AI companies begin creating phrases, shorthands and agreed meanings they had never been explicitly taught.

The OpenAI Foundation is funding a new effort called Data for Public Health. Last year Ruxandra Teslo, a policy analyst who focuses on clinical trials, posted an idea for supercharging medical AI systems: Use data from failed biotech companies. By bidding at their bankruptcy proceedings, she proposed, it might be possible to obtain detailed regulatory filings, manufacturing strategies, and safety data--types of information usually considered trade secrets. She called these documents " biotech's lost archive " and said they could be used to help train AIs that would act as powerful copilots in the often opaque drug approval process. Today the OpenAI Foundation, the nonprofit parent of OpenAI, said it would fund her idea as part of a new effort it calls Public Data for Health, which aims to help artificial intelligence make big leaps in medicine by paying to create "high-quality scientific datasets." The basic idea is that AI isn't going to be capable of making important breakthroughs in curing disease unless researchers can feed the models much more information than they have so far.

'Been thinking a lot about whether it's possible to stop humanity from developing AI,' OpenAI CEO Sam Altman wrote to Elon Musk in 2015. 'Been thinking a lot about whether it's possible to stop humanity from developing AI,' OpenAI CEO Sam Altman wrote to Elon Musk in 2015. From Stephen Hawking to Jacob Coxon's viral Anthropic resignation, fears that AI could threaten humanity have shaken the industry without stopping its pursuit Before an Anthropic researcher resigned and declared human extinction imminent last week, tech leaders and scientists had sounded the alarm about a superintelligent AI ending humanity for over a decade. The development of artificial intelligence "could spell the end of the human race", warned professor and astrophysicist Stephen Hawking in 2014 - a little less than a decade before the public got its hands on the generative AI features of the original version of ChatGPT. It's a now-familiar warning, echoed across the AI and tech industry by countless employees and CEOs of the leading frontier labs across the US.