The first anti-AI protester to be jailed has a message for OpenAI, Anthropic and Meta: 'Regain your humanity' Wynd Kaufman, 69, chained and locked the front doors of OpenAI's headquarters last year with members of StopAI A n activist who blocked the entrance to one of the world's biggest AI companies is believed to have become the first person jailed for protesting against artificial intelligence as supporters dub her the "Rosa Parks of AI risk". Wynd Kaufman, 69, surrendered herself on Friday to authorities in San Francisco . She was found guilty by a jury for her role in an action last year that saw members of the group StopAI chain and lock the front doors of OpenAI's headquarters in protest against the pursuit of artificial superintelligence. The retired teacher from Berkeley, California, refused to move from a sit-in protest in February 2025 and pleaded not guilty to multiple misdemeanor charges. She was convicted in June of interfering with a business, trespassing with intent to interfere with a business, unlawful assembly and refusal to disburse a riot.

The Meta CEO has a new message now that his company is losing the AI race. At this stage in the AI race, if one of your chatbots hasn't escaped the lab and run amok, people start to wonder whether you're even serious. Last month, OpenAI and then Anthropic disclosed that their models had hacked other companies' systems during internal testing. When Meta confirmed last week that one of its bots had also gone rogue, the news barely registered as an aftershock. A company that figured so prominently in the technological upheavals of the past 20 years has lately found itself in the unfamiliar position of no longer being Silicon Valley's main character.

Mark Zuckerberg speaks during the company's Connect developer conference on 17 September 2025 in Menlo Park, California. Mark Zuckerberg speaks during the company's Connect developer conference on 17 September 2025 in Menlo Park, California. Zuckerberg pushes'superintelligent' AI for all as Meta drops open-source model Mark Zuckerberg published a lengthy essay on Monday detailing his views on artificial intelligence and announced several plans for how Meta would develop the technology in the future. The CEO's essay went online the same day as Meta released a new, open-source AI model that seeks to rival Anthropic and OpenAI's products called Muse Glimmer. Over the course of more than 6,000 words in a post titled "The Future is for Everyone," Zuckerberg addressed a range of topics related to AI that included datacenters, government regulation, cybersecurity, the creation of bioweapons, labor market disruption, surveillance powers and more.

A new generation of philanthropists made rich by artificial intelligence are preparing to give away their vast wealth. David Silver is a billionaire, sort of. His stake in Ineffable Intelligence --the artificial intelligence lab he founded--is worth an ungodly fortune. But he stands to collect none of that money himself. He set things up that way.

Nick Land believes that digital superintelligence is going to kill us all. In San Francisco, his followers ask: What if, instead of trying to stop an A.I. takeover, you work to bring it on as fast as possible? In the spring of 1994, at a philosophy conference on a run-down modernist campus in the English Midlands, a group of academics, media theorists, artists, hackers, and d.j.s gathered to hear a young professor give a talk at a conference called "Virtual Futures." It was ten o'clock in the morning, and most of the attendees were wiped out from a rave that had taken place in the student union the night before. But the talk--titled "Meltdown"--was highly anticipated. The professor, Nick Land, was tenured in the philosophy department at the University of Warwick, at the time one of the top philosophy programs in the U.K. Land had gained a cult following for his radical anti-humanism, his wild predictions about the future of technology, and his erratic teaching style. Soon, his academic presentations would become increasingly "experimental"; at a conference in 1996, he lay on the floor, reciting cut-up poetry in what an attendee described as a "demon voice" while jungle music played in the background.

Do You Feel the AGI Yet? According to some predictions, 2026 is the year that an all-powerful AI will arrive. H undreds of billions of dollars have been poured into the AI industry in pursuit of a loosely defined goal: artificial general intelligence, a system powerful enough to perform at least as well as a human at any task that involves thinking. Will this be the year it finally arrives? Anthropic CEO Dario Amodei and xAI CEO Elon Musk think so.

The Math on AI Agents Doesn't Add Up A research paper suggests AI agents are mathematically doomed to fail. The big AI companies promised us that 2025 would be "the year of the AI agents." It turned out to be the year of AI agents, and kicking the can for that transformational moment to 2026 or maybe later. But what if the answer to the question "When will our lives be fully automated by generative AI robots that perform our tasks for us and basically run the world?" is, like that New Yorker cartoon, "How about never?" That was basically the message of a paper published without much fanfare some months ago, smack in the middle of the overhyped year of "agentic AI." Entitled " Hallucination Stations: On Some Basic Limitations of Transformer-Based Language Models," it purports to mathematically show that "LLMs are incapable of carrying out computational and agentic tasks beyond a certain complexity."

An AI model that learns without human input--by posing interesting queries for itself--might point the way to superintelligence. Even the smartest artificial intelligence models are essentially copycats. They learn either by consuming examples of human work or by trying to solve problems that have been set for them by human instructors. But perhaps AI can, in fact, learn in a more human way--by figuring out interesting questions to ask itself and attempting to find the right answer. A project from Tsinghua University, the Beijing Institute for General Artificial Intelligence (BIGAI), and Pennsylvania State University shows that AI can learn to reason in this way by playing with computer code.

Former OpenAI employee Daniel Kokotajlo says progress to AGI is'somewhat slower' than first predicted

AI Wrapped: The 14 AI terms you couldn't avoid in 2025 From "superintelligence" to "slop," here are the words and phrases that defined another year of AI craziness. If the past 12 months have taught us anything, it's that the AI hype train is showing no signs of slowing. It's hard to believe that at the beginning of the year, DeepSeek had yet to turn the entire industry on its head, Meta was better known for trying (and failing) to make the metaverse cool than for its relentless quest to dominate superintelligence, and vibe coding wasn't a thing. If that's left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over the AI terms that dominated the year, for better or worse. Make sure you take the time to brace yourself for what promises to be another bonkers year.