The James Webb Space Telescope has been picking up little red dots in almost every image, writes Quanta magazine. And now two teams of astronomers propose they're looking at a new astronomical object: a black hole star. It shines with the light of billions of suns — and hides a black hole in its core. But Quanta adds that "not everyone agrees with this bold interpretation." [Two Webb telescope surveys of distant objects included little red dots] for hours at a time. They tabulated precisely what shades of light were coming from each dot, and how bright the shades were... The bombshell discovery in the little red dot spectra was that the colors of hydrogen were smeared out across multiple shades. Usually, seeing such an effect means you're looking straight at an exposed black hole. Black holes whip hydrogen clouds around them at furious rates, with the clouds emitting slightly different colors depending on their speed... Then, in the spring of 2025, [two of the paper's astronomers] de Graaff and Naidu's teams unveiled the two strangest dots yet... The new little red dots couldn't literally be stars — they were way too bright. And they didn't look much like black holes either. Black holes have an assortment of ringlike structures of different temperatures... Naidu and de Graaff concluded that they were[ looking at the first examples of something combining the vigor of a black hole with the outward appearance of a star: a black hole star... This black hole would pull gas around it, dramatically heating it and pushing light and energy outward, which would keep the outer layers of hydrogen from collapsing inward. In this way, the black hole would form the "engine" of the star, analogous to the fusion-powered core of our sun... "We are seeing the seed," Naidu said. "This is the birth of potentially every massive black hole in the universe." "Astronomers have spent the last year in a lively debate about what's really going on," Quanta adds. And this week simulations using the Japanese Supercomputer ATERUI III "have explained the nature of the Little Red Dots without requiring any exotic assumptions," writes Phys.org — by conducting the most detailed cosmological simulations yet of conditions in the early universe: The simulations show that the Little Red Dots are black holes growing at a rate that would be impossible today because of conditions in the early universe. The simulations show that in the early universe, intense far-ultraviolet (FUV) radiation from nearby galaxies suppresses star formation in gas clouds, so rather than forming many small stars, the gas can form a single supermassive star, which then collapses into a black hole seed. The simulations show that, once formed, these black hole seeds are surrounded by dense gas disks. This environment traps radiation, enabling the black holes to grow at rates dozens of times faster than would be possible in the modern universe. The simulated properties of these rapidly growing black holes provide a good match to the Little Red Dots (LRDs) observed by the James Webb Space Telescope (JWST).

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Neither OpenAI or Anthropic is acting responsibly, warned AI researcher Jacob Coxon when resigning last week from Anthropic. But just hours earlier, OpenAI VP of Research Aidan Clark had posted "For the first time, I am asking myself if things are moving too fast. I'm honestly not sure, but I am sure that it would be good for us to have an answer to 'What would a successful pace look like?'" CNN noted Wednesday they're just some of the many AI insiders who are now concerned about the speed of research. Coxon even wrote that "The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible — but I hear the same people express fear privately." In 10 days since, Coxon's post has been viewed more than 170 million times, warning that OpenAI and Anthropic are "racing straight to self-improving superintelligence and gambling with our lives." It's part of what CNN now calls "pressure on AI companies and governments to do something about the pace of development and safety," where "much of that pressure is coming from staffers inside the companies." One staffer at a top AI company told CNN the fears of how AI could hurt humanity keeps them up at night. Another researcher who recently left a different AI company said it's a common subject of conversation at parties and social events in Silicon Valley. "You can't spend more than a few hours in this community without realizing that a very substantial number of people are really pretty worried about these sorts of outcomes," said the researcher. "A majority would say there's some chance of it killing everyone...." Dozens of Coxon's colleagues in the AI industry publicly supported his statements, with some making even more dire predictions... OpenAI CEO Sam Altman and SpaceXAI CEO Elon Musk agreed to Amodei's proposal to embed independent watchdogs at the AI companies... "I would burn my equity to the ground in a heartbeat for a 1% higher chance we make it out of this situation alive. I expect a great many of my colleagues across the industry would as well," wrote Drake Thomas, who works on AI safety at Anthropic. "I promise you, we are actually just f**king scared, it's not galaxy brained marketing..." AI staffers told CNN that they fear that as AI gets better at training and improving itself, their leverage goes down, prompting today's urgency. "As we get into this recursive self-improvement loop, I think that might substantially reduce staff's bargaining power, because frankly, you'll be able to replace many of the staff with models that can do as good a job," the researcher who recently left a top AI company said. Coxon posted Tuesday on X that Anthropic "largely initiated" the race to recursively self-improving AI, justifying it with "a belief in its inevitability." And then OpenAI "had to shed a bunch of dead weight like Sora," as he sees it, "because Anthropic was going for the jugular." (In fact, his specific disagreement with Anthropic's leadership was whether China and the U.S. could ever negotiate an alternative to their current race towards self-improving AI...) In an informal "Ask Me Anything", Coxon responded to a question about when we'd see a Terminator-like malevolent AI by saying that "Skynet could go live in the 2030s if we aren't careful. ai-2027.com is a modern skynet story written a year ago and it's on track so far." Yet while AI development risks an end to humankind, "I do think that if we go slower we can take risk to 0%... But this requires radical action." He acknowledged there was still a possibility that the steady increases to model intelligence could suddenly plateau, but "They haven't so far, and it's just a few more steps up the ladder to hit the finish line." To avoid stifling innovation, he recommends "prioritizing applications that actually improve people's lives [like healthcare discoveries], rather than immediately going for raw economic value or intelligence." But isn't mass unemployment a more pressing threat? "Things are coming so fast that unemployment would be a brief preliminary to deadly superintelligence." To people who feel disempowered, Coxon offered his solidarity. "I also feel disempowered. Part of resigning was a feeling of hopelessness about the future. I would say — keep your eyes open as things get crazier and advocate for increased transparency into AI companies." When asked if he'd start his own company now, Coxon said he had "No idea what I'm doing next."

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