SlashdotNews for nerds, stuff that matters
Jun 8th 2026, 15:00 by BeauHD
Jeff Bezos is backing Flourish, a new "neuro AI" startup with $500 million in funding and a reported $2.5 billion valuation, that aims to reinvent AI by studying the brain's architecture and building systems that learn continuously while using far less power than today's large language models. The company's long-term bet is that neuroscientists and AI researchers working together can uncover the brain's "core algorithm" and eventually create brain-inspired AI that runs on a tiny fraction of current compute. Wired reports: Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot as an executive on Amazon's "S-team," in charge of software products such as Alexa, until his departure last fall. But the pitch he made a few weeks later -- in December 2025 -- was different. Now he was collaborating with Thomas Reardon, a neuroscientist and repeat startup founder, and approaching Bezos as a funder, not a boss. Here's what Bezos, sitting on his yacht somewhere, read while Williams anxiously watched on Zoom: "Flourish is a neuro AI company that is solving the two most difficult problems facing AI today: power efficiency and continuous learning. We are building Cortex AI, the first synthetic intelligence system designed to match the computational capacity, learning efficiency, and power budget of the human brain." A month later, I'm lunching with Reardon and Williams in the Flatiron neighborhood in New York City. Reardon gets right to the point. AI has dug itself into a hole, he says. Though increasingly powerful, large language models are greedy consumers of computer power and data. Though the inspiration for LLMs was rooted in biology, current frontier models have little in common with the human brain. A person uses about 20 watts of energy to process information; a single chip in an AI training cluster uses more than 30 times that amount. The hyperscalers require thousands of chips and gigawatts of energy, enough to power small cities. And those models need to suck up virtually all of what humans have written. Each new model requires more, more, more. For all of that, the models don't learn. Once you train them, they're stuck. The goal, Reardon tells me, is to build "a synthetic artificial intelligence brain that runs on 50 watts or less." It should adapt to its conditions, be as nimble as a human mind, and burn a tiny fraction of an LLM's compute power and energy. The proof of concept is thriving inside our skulls. "There's something fundamentally wrong with saying, "I need to basically read every book ever written 20 times over in order to learn English,'" Reardon says. "A human baby does it with a couple hundred thousand utterances." Reardon and Williams haven't figured out yet how to build systems that match the magic of a human brain. What they have is a belief that an expert, well-resourced team -- of AI researchers and neuroscientists working essentially side by side -- can find the answer. The neuroscientists will conduct original wet lab experiments with some of the most advanced lab equipment available, to hunt for usable intel on the brain's architecture. They plan to release the models they're currently developing as near-term products on the path to a full reinvention of AI. The fuzziness of the proposal didn't bother Jeff Bezos. After reading Williams' two-pager, he chipped in $50 million. Other funding came from Lux Capital, Google Ventures, and Catalio, among others. Bezos then almost doubled his initial stake and told Reardon he'd have given more if they'd asked. Now with a war chest of $500 million and a reported valuation of $2.5 billion, Flourish just needs to invent a new way to do AI.
 
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Jun 8th 2026, 11:34 by EditorDavid
Most supply-chain attacks using Ruby's package hosting site "exploit a narrow window," according to a new blog post form Ruby core maintainer Hiroshi Shibata. So its packaging-managing Bundler tool now offers a filter that blocks new version until it's been public "for at least N days. Releases too new to have been scrutinized are passed over in favor of ones that have aged past the window." The feature was designed in the open, drawing on how other ecosystems approach the same problem. It is opt-in, and complements rather than replaces existing defenses like mandatory 2FA and trusted publishing... Cooldown is unset by default, so a project without it keeps resolving to the newest versions.... Passing 0 disables cooldown for the run... Cooldown is most useful as one part of the wider security investment happening on rubygems.org. The registry now validates gem contents at push time and checks logins against Have I Been Pwned so that compromised passwords cannot be reused, work described in Protecting rubygems.org from the outside in. A dedicated team is running AI-assisted vulnerability scanning against the most critical gems, backed by Alpha Omega and Anthropic, and the direction of all of this is tracked on a public roadmap. Trusted publishing and mandatory 2FA already raise the bar for who can push a release in the first place.
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Jun 8th 2026, 07:34 by EditorDavid
A burglar took a self-driving Waymo taxi to rob a San Francisco yoga studio this past January, reports TechCrunch — "and police have still not caught them." Even the police officer assigned to the case thought it would be easier to solve, notes The San Francisco Chronicle, since Waymos are outfitted with multiple high-definition cameras and require users to make accounts with their credit card numbers: It's common for officers to seek video footage of a crime from any of the Waymos, Teslas and other high-tech vehicles that record their surroundings. That information can be crucial for identifying suspects or creating a reliable timeline of events. At times, police will go so far as to obtain search warrants to tow the vehicle "witnesses" to ensure they don't lose valuable video evidence. In the Hot 8 Yoga burglary case, San Francisco police issued a search warrant that forced Waymo to turn over information on the account that ordered the ride and video footage from the white Jaguar that served as the getaway car, police records show. Faye said that he couldn't discuss certain details of the case, but that the Waymo user's account information didn't lead police to the suspect. In general, he said, it's not unusual for a criminal to order a service with stolen information or a burner phone. The video evidence didn't help much either, Faye said. He said that the company had not retained interior footage of the car by the time the search warrant was filed in April and that it had kept the faces seen outside the car blurred for privacy reasons... Waymo does not publicly disclose how long it retains video footage. The company blurs faces and license plates in the public-facing images it uses in a database designed for research.... Last year in Los Angeles, a person allegedly robbed a grocery store before hopping in a Waymo. Officers were able to chase down the vehicle after the suspect got inside, and the car pulled itself over after police turned on the car's emergency lights, according to Los Angeles-area news outlets. "Farah Issa, studio manager of Hot 8 Yoga, showed the Chronicle a copy of the surveillance video from her phone, noting how the Waymo dropped off the suspect and waited for him to finish the burglary before taking off again."
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Jun 8th 2026, 04:34 by EditorDavid
Reuters reports: Several large data centers and crypto facilities planning to connect to the Texas power grid ahead of peak summer demand have failed key reliability tests, raising the risk of power outages just as electricity use hits its seasonal high, according to the state grid operator... Unlike traditional industrial customers, which tend to draw electricity steadily and predictably, data centers are engineered to cut their connection to the grid at the first sign of trouble to protect their equipment and keep services running. That makes them an unpredictable and potentially destabilizing force on grids already under pressure from rising demand. Four groups of unnamed large electricity users, including data centers, abruptly disconnected from the Texas grid during a test of how they would handle routine voltage disturbances, the Electric Reliability Council of Texas (ERCOT) said in a report dated May 21. When large customers abruptly cut their power use, it can knock the grid off balance and trigger wider outages. ERCOT, which manages electricity for most of Texas, said it reviewed about 20 gigawatts of large customers seeking to connect to the system, including eight projects totaling roughly 3.9 gigawatts aiming to start up before July 1. It said it identified four groups of large power users that could each trigger more than 5,000 megawatts of demand tripping under certain fault conditions, based on simulations of transmission system disturbances. Those abrupt drops in demand were equivalent to the electricity consumption of a large city such as Boston.
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