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alternative_right shares a report from Phys.org: Nanoparticles could someday provide a new way to help soldiers fight back against deadly nerve agents on the front lines. In a new study, Northwestern University scientists developed a nanoparticle-based compound that, when mixed into clothing dyes, could limit the impact of chemicals commonly found in pesticides, insecticides and nerve agents. Manufacturers could potentially add the nanoparticles to clothing used by those most at risk, such as farmers' masks and gloves or soldiers' uniforms and tactical gear. Or, if someone is exposed to a potentially deadly chemical, they could spray their clothing with water mixed with the compound to deactivate the chemical before its damaging effects take hold. The study has been published in the journal ACS Nano.Read more of this story at Slashdot.

fjo3 quotes a report from The Guardian, written by Tove Danovich: Every year, the night sky is becoming 10% brighter. Eighty percent of people live under light-polluted skies. And while the UN declared a healthy environment -- clean air, clean water -- to be a human right, I believe we also all have a right to darkness as well. This doesn't mean turning off every streetlamp. But do we really need bright white floodlights at the front of every garage? Replacing lights with ones that are bright enough to do the job -- and no brighter -- might make it so I wouldn't have to get in my car and drive for hours to see the night sky as it actually shines above us. To preserve the darkness would mean rules and enforcement around the warmth of the lights, where they point, and how bright they can be. It would mean not putting in three lights when one would do. If we recognized that darkness is something we need, we'd become more careful about chasing it away. [...] Access to darkness is about more than stargazing. The night is its own habitat. Artificial lights confuse animals who use the moon to navigate, whether they're baby sea turtles navigating toward a parking lot instead of the ocean or moths who fly in circles around a lightbulb. Lightning bugs and frogs need darkness to complete their courtship rituals. Migrating birds get thrown off course by the bright lights of big cities. But the effects of light pollution linger even after it's daylight again, becoming visible. Research has shown light pollution is breaking the relationship between plants and pollinators, changing the time of year trees break into flower, and disrupting circadian rhythms for all living creatures. This includes humans. Whether it's artificial lights indoors or creeping in through the window at night, studies have found that we need darkness in order to rest, recover and stay healthy.Read more of this story at Slashdot.

An anonymous reader quotes a report from 404 Media: Some tech workers in San Francisco hooked up ChatGPT to a Toyota Corolla and got it to drive around a parking lot. This may not sound impressive in the age of the self-driving car until you realize that the LLM driving the car was a general purpose chatbot running on a laptop and not the purpose-built driving system based on millions of hours of training data used by Waymo or Tesla. The people behind the stunt call themselves DrivingBench and they've posted their code, their prompts, and videos of the experiment online. In the experiment, DrivingBench hooked up GPT-6 Astra, Claude Fable 5.1, Grok 4.6, and GPT-5.6 Sol to a Toyota Corolla and gave the LLMs control over the car's steering, accelerator, and brakes. Then they set up a small cone course in a public parking lot and prompted the chatbots to navigate the space. The goal, they said, was to find out if untrained, off-the-shelf frontier AIs can drive a real car. The results were mixed. Grok, Sol, and Fable only drove a few meters and didn't finish the course. GPT-6 Astra, however, did eventually learn to navigate the course and complete it. But not without a lot of troubleshooting."It's an interesting demonstration of potential emergent capabilities," said Mahns. "It can fail a turn, and then the next turn, next try, it will be able to do that turn and other turns that it hasn't seen before. Not necessarily saying LLMs are gonna put Waymo out of business or something, just an interesting demonstration of where things are, and things are just moving fast." "Most people that are familiar with ChatGPT have used it in this white collar, kind of like in the computer, and it's definitely imminent to the point that this capability will start having more impact in the physical world. So I think seeing the sparks of this happening, the shift of this utility coming into the physical world, is also somewhat exciting."Read more of this story at Slashdot.

Firefox 157 is rolling out a major redesign across desktop and mobile, bringing rounded "bubble" tabs, a curved address bar, refreshed icons and colors, and a more consistent visual language across devices. Mozilla is also adding more themes and wallpapers while bringing back Compact Mode, which the company says "reduces the size of your tabs and toolbar to give more of your screen to the web, with an auto-compact option for smaller screens." The Verge reports: According to Mozilla, the design changes will have "no cost to your browser performance." Mozilla says the overhauled design is a "renewal" for Firefox, following major updates over the last year, like homepage widgets, Split View, a built-in VPN, and controls for disabling the browser's AI features.Read more of this story at Slashdot.

BrianFagioli shares a report from NERDS.xyz: Microsoft has made WSL Containers generally available, giving Windows 11 developers a built-in way to build, run, and deploy Linux containers through Windows Subsystem for Linux. The release includes wslc.exe for managing containers, GPU support, networking improvements, health checks, storage mounts, and integration with Microsoft Defender for Endpoint and Intune. Microsoft also claims up to twice the performance when Linux environments access files stored on Windows. Docker Desktop, Podman Desktop, and Rancher Desktop are not going anywhere, but developers who only need basic container functionality now have another option built around WSL. One notable feature is still missing: Compose support. Microsoft says adding it is now a priority.Read more of this story at Slashdot.

An anonymous reader quotes a report from CNBC: Mistral Chief Executive Arthur Mensch has accused leading global artificial intelligence companies of using the debate over the safety of the technology as a cover-up for their "negligence." "The debate that we've seen in the U.S. has been a cover for the negligence of some of our competitors," Mensch told CNBC's Annette Weisbach, adding that it was necessary to make systems that can contain the AI agents. [...] "When you give them a lot of tools, those systems [AI agents] are very dynamic, so they can go and do things that you do not expect," Mensch told CNBC. "You need to have the right monitoring in place, and the enterprises we work with, we give them those kind of monitoring systems," he said. Mistral also develops AI models but takes a different approach to OpenAI and Anthropic by working with individual companies to create custom AI tools to suit their needs and integrate them with their businesses. But unlike its competitors, Mistral has no plans to slow down development of advanced models. The lead that U.S. labs have is "not extremely large," Mensch said, adding that his company was confident that its next-generation model will close the gap "very significantly." "We have been raising the capital needed to scale the compute that we need to train bigger and more powerful models, in order for us to own our own destiny," he said. Earlier this month, Mistral raised 3 billion euros ($3.5 billion) in fresh funding led by memory chip giant Samsung, as it looks to position itself as a European alternative to rivals like OpenAI and Anthropic.Read more of this story at Slashdot.

McDonald's is reportedly using AI-powered pricing tools to recommend menu prices based on what customers near individual restaurants are willing to pay. Franchisees technically retain control over final prices, but some told Reuters they feel pressured to follow the algorithm's recommendations. "A corporate document reviewed by the publication shows that McDonald's tracks adherence to the platform, and notes any deviations from the algorithm's price recommendations," reports Engadget. From the report: Reuters got a look at the interface that franchisees use to access this technology and it's pretty creepy. Messages show stuff like "your restaurant is showing MEDIUM SENSITIVITY to price" based on "customer willingness to pay in your area." Cost differences at nearby locations can be stark. Researchers found that a Bic Mac at a Fresno, California store cost $5.69, but the same burger cost $6.89 at another branch two miles down the road. That's a 21 percent difference. The company acknowledges that using this dynamic pricing system could open up franchisees to legal hurdles, all while continuing to push the platform. The pricing portal's terms of service reportedly warns that owners "may be competitors of each other" and "it is particularly important for all Users of the Tool to understand and comply fully with antitrust and competition laws." The document also reiterates that franchisees are "always free to determine the final price," thus potentially absolving corporate from any antitrust concerns. McDonald's has decried Reuters' reporting as "speculative and uninformed." The company says the pricing portal is "a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions." The company has been using some version of this technology since at least 2019, according to Reuters. In 2023, however, CEO Kempczinski boasted to investors that it had developed proprietary tools to evaluate pricing at individual restaurants.Read more of this story at Slashdot.

A six-month British Transport Police trial of live facial recognition at London railway stations scanned more than 500,000 faces, cost over 320,000 pounds, and produced just one alert with no arrests directly resulting from the technology. That one alert ended up being a false positive. Despite those results, BTP has extended the pilot through November and expanded it to selected Underground stations. The Guardian reports: British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions. When Transport for London announced its support for the extension of the trial, it said LFR technology "will target and identify people on police watchlists at key stations chosen for maximum impact" and would "specifically tackle violence against women and girls, whose travel behaviors are shaped by experiences of sexual harassment and sexual offenses." Fraser Sampson, a former biometrics and surveillance camera commissioner for the UK, said the police needed to show that the use of the technology was proportionate. "There many variables and all need to align: the choice of location, times of day, make up of the watchlist and likelihood of people being present and many more." Sampson, who is now a non-executive director of Facewatch, a company that operates facial recognition systems in shops, added: "We know the technology works, but using it in supermarkets to deter shoplifters and prevent attacks on staff is very different from deploying it to catch people on a public transport network." "Success in a shop means no such people coming in. Success for the police trying to catch people means people being caught. In that respect the trial doesn't appear to have been very fruitful. Everything depends on the police watchlists; if you're not on a watchlist, the live FRT cameras do not "see" you and they don't retain your image in the same way as CCTV cameras. However, they are processing special category personal data and the technology must be used in a way that is appropriate, proportionate and necessary. It's for the police to show how any deployment meets those criteria and -- as the ICO [information commissioner's office] has recently reported -- for their oversight boards to hold them firmly to account in doing so."Read more of this story at Slashdot.

In addition to the company's GPT-6.1 Astra announcement, OpenAI announced always-on AI agents called "Dots" that can proactively use a computer and connected apps to research, draft documents, write software and handle other tasks on a user's behalf. "OpenAI said it would roll out Dots to paid users starting Tuesday," reports Bloomberg. "Initially, OpenAI said, each user will have access to a single 'dot' that can act as an assistant. Over time, the company expects users to manage a slew of them." From the announcement: Dots are frontier intelligence that have your back. Powered by GPT-6 Astra, they have their own cloud computer, learn from feedback over time, and can work towards your goals 24/7. Through our ecosystem of plugins, they can readily connect to over 4,000 apps, giving them the tools to help wherever you need them. Your dot is always within reach, whether it is through ChatGPT, Slack, or Teams. You can ask questions, explore ideas, and give feedback along the way; or you can simply hop on a voice call when you need to talk something out. The more you work together, the more your dot learns your preferences, how you think, and what good looks like to you. The magic of dots is when they bring you work done the way you would do it, sometimes before you even think to ask. With dots alongside you, ambitious ideas and projects you haven't had the time or support to pursue start to feel achievable.Read more of this story at Slashdot.

Google says ChromeOS will keep receiving regular updates and security patches through mid-2034, after which qualifying newer Chromebooks will be able to migrate to the new Googlebook OS. 9to5Google reports: Starting with Chromebook updates, Google says that "Chromebooks you have today will continue to receive updates through their supported lifetime," with all Enterprise and Education management capabilities remaining in place as well: "We will maintain support for current Chromebook devices running ChromeOS as outlined in our Auto Update policy and the Chromebooks you have today will continue to receive updates through their supported lifetime..." Google adds that similar management tools will be coming to Googlebook, but they're not available yet. Apparently they're planned for the second half of 2027. Meanwhile, Google says that "many" existing Chromebook models will be eligible to transition from ChromeOS to Googlebook OS. More details are coming "soon." A later note specifies that Google is referring to "newer commercial Chromebook models." Notably, Google specifies a year when ChromeOS updates will come to an end in a later note -- 2034. Chromebooks with a 10-year update policy that extends past 2034 will be eligible to move to Googlebook OS. [...] Finally, in regards to apps, Google says that it is "committed" to web developers despite an increased focus on Android apps on Googlebooks.Read more of this story at Slashdot.

California Gov. Gavin Newsom has signed AB 2409, barring California public officials from issuing memecoins and prohibiting companies from listing memecoins that use a public official's image or likeness. Engadget reports: The governor's office pointed to reports that about a million investors lost an alleged $3.8 billion on their purchases of the memecoin released by President Donald Trump in 2025 as a the motivation behind the new rule. "No official should profit off their office -- and we're putting stronger protections in place to ensure it doesn't happen in our state," Newsom said. The bill also prohibits a company, related or not, from making a memecoin using "the likeness or image" of a public official.Read more of this story at Slashdot.

An anonymous reader quotes a report from Ars Technica: The state of Florida is seeking a temporary injunction to stop OpenAI from continuing to develop what it calls a "reckless, unacceptably risky product" without the deployment of "third-party approved safety guardrails." The new legal motion (PDF), filed Monday morning, is part of a civil lawsuit the state of Florida originally filed in June, arguing that ChatGPT represented "a threat to the public safety of Floridians," specifically by preying on vulnerable populations like children and violent or delusional adults. [...] In arguing for this injunction, the state points to the Hugging Face incident as well as recent high-profile misalignment cases involving unintended and unauthorized attempts to access Australian and US government servers. Florida also cites AI industry leaders, including many from OpenAI, in arguing that the AI industry is literally asking for this kind of outside regulation. The motion points to statements from Paul Christiano, who said on joining the company's board this month that he believes "there is a meaningful risk that rapid acceleration in AI capabilities leads to catastrophic and irreversible loss of control in the very near term." The motion also points to OpenAI's own "An Alien Mind" essay and an open letter from 1,300 AI industry employees, both of which call for enforced slowdowns on frontier AI development, if necessary. Citing laws that allow the state to exercise control over companies that are a "public nuisance," Florida argues that OpenAI is "the greatest public nuisance ever created by the hand of man, capable of laying waste to global civilization." "It is only by the grace of the Almighty that one of Defendants' AI agents hasn't compromised a water supply or shut down a power grid -- yet," the state writes in the motion.Read more of this story at Slashdot.

The current El Nino has already surpassed the highest Pacific temperature anomaly recorded in the modern era, reaching 3.05C above the 1991-2020 average months before its expected peak. The commonly used ONI measure is also on the verge of breaking the 2015 record. Forecasts cited by The Guardian suggest the event could reach about 4.0C later this year. From the report: The latest data shows the temperature rise at the heart of El Nino in the Pacific Ocean has now reached 3.05C. That is higher than the 3.02C set in late November 2015, the previous high set in the 150 years of modern records. This temperature is measured against the average of 1991-2020. The preferred measure of most meteorologists uses a 30-year rolling average as a reference and so takes account of human-caused global heating. This metric, called ONI (Nino3.4), is on the brink of breaking the record, just one-hundredth of a degree below the 2015 record. Both metrics are underpinned by data from the US National Oceanic and Atmospheric Administration (NOAA). The most recent forecasts predict a peak of 4.0C in November and December, according to the average of 14 different models assessed by climate scientist Zeke Hausfather. That is a level so far above previous events that Hausfather called it "mind-blowing," while others have described it as "Godzilla-level." Any temperature rise above 0.5C is deemed an El Nino; above 2C is officially called a "very strong" El Nino -- often referred to as a "super" El Nino. The current El Nino is likely to be the largest in at least 1,000 years and will pile extra heat into an atmosphere in which temperatures are already rising rapidly due to human-caused global heating. This double whammy means 2027 is expected to "blow apart" previous records and become the hottest year ever recorded.Read more of this story at Slashdot.

New research suggests Enceladus may be an especially promising place to search for extraterrestrial life: microbes similar to those found near Earth's hydrothermal vents survived in lab conditions designed to mimic the Saturnian moon's subsurface ocean. A separate study also found that material blasted from Enceladus' plumes may naturally separate and concentrate salts, organics and potential biosignatures into individual ice grains, potentially making them easier for future spacecraft to detect. "That is great news in the search for life," Frank Postberg, lead author of one and co-author of the other of these new studies and professor at Freie Universitat Berlin, said in a statement. "Future spacecraft will have to analyze many individual ice particles in the plume. But if they come across one with microbial material in it, they could identify biosignatures in the particle relatively easy with already available technology." Space.com reports: Enceladus isn't the only place in our solar system with water -- so, why is it so exciting in the search for life? Well, it has to do with the seafloor of its extensive, liquid ocean. Down deep at the bottom of this body of water, scientists think hydrothermal processes, or movement or reactions with hot water under the surface, are taking place. The plumes shooting upward from the ocean also contain trace amounts of salts and organic compounds. NASA's Cassini spacecraft found these traces when it flew through the plumes over a decade ago. Between the hydrothermal activity and the organics and minerals in the water, this moon's ocean has a number of aspects that could be involved in supporting life. What's more, using a combination of Cassini data, theoretical models and laboratory experimentation, in Postberg's new study the team found that the plume's water droplets blasting out into space at up to 621 miles per hour (1,000 kilometers per hour) don't freeze as quickly as expected. Before, scientists thought the freeze would happen instantaneously once the droplets reached space, but Postberg and fellow researchers say they found the freezing would actually happen much slower. They also found that during this freezing process, the salt, organic compounds (and maybe possible signs of life) in the water droplets separate from one another. Not only that, but the team says that as the particles are blasted out into space, they should often collide with the icy cracks of the planet's surface. This ultimately would leave behind tiny shards of frozen droplets with individually separated out components. Essentially, it's like the planet has organized its oceanic ingredients into tiny, frozen particle fragments. This work is described in two new studies published in the journal Science Advances here and here.Read more of this story at Slashdot.

An anonymous reader quotes a report from The Guardian: It is the bane of every fruit bowl: sliced banana that turns brown before it has reached the table. But such woes could soon be a thing of the past, with gene-edited bananas that keep their freshly peeled color now one step closer to reaching British shoppers. According to Tropic, the Norwich-based agricultural-biotechnology company that developed the fruit, the bananas have the same taste and texture but stay "fresh, yellow and appetizing long after peeling and slicing." Gilad Gershon, the chief executive of Tropic, said the flesh of the new banana resisted browning for an extra day or two -- and longer if chilled. He added that the innovation could make it easier to add bananas to prepackaged products such as fruit salads and breakfast pots, as well as reducing waste. [...] Tropic developed the bananas by using a gene-editing technology called Crispr-Cas9 to alter all three copies of a single gene within the fruit. As a result, they were able to reduce the production of polyphenol oxidase, an enzyme that causes browning. A similar approach has been effective in reducing browning in other produce, including mushrooms. Tropic said the non-browning bananas could reduce food waste and CO2-equivalent emissions along the supply chain by more than 25%. "This could support an annual reduction in CO2 emissions of over 9m tonnes in the banana export market alone," the company said. [...] Gershon said Tropic had gained regulatory approval for the non-browning bananas in 10 other countries including Japan, Brazil and the Philippines. The fruit is already being grown in Latin America.Read more of this story at Slashdot.

Longtime Slashdot reader schwit1 shares a report from Business Standard: China has expanded overseas travel restrictions for top AI professionals in private firms to include the families of key personnel, further tightening measures designed to prevent the outflow of critical know-how and information to the US. Government agencies have recently begun to share the wider restrictions with affected people, which include prominent startup founders as well as the heads of strategically important companies in AI-related fields, people familiar with the matter said. Direct relatives such as spouses and children of certain AI and chip executives, whose work is considered paramount to state security, are now required to obtain approval from Beijing before going abroad even for short trips, the people said. That marks a broadening of existing curbs on the freedom of movement of China's most influential tech talent -- a category that encompasses entrepreneurs, researchers and executives. While not an outright ban on travel, the new requirement is likely to exert a further chilling effect on a tech sector already facing unprecedented curbs. China has restricted foreign travel for top AI professionals in private firms such as Alibaba Group Holding Ltd and DeepSeek since earlier this year, Bloomberg News reported in May, reflecting Beijing's determination to safeguard its technology as it makes big strides in AI and chipmaking. It's unclear whether all those people's families need to follow the new strictures, the people said. China is also separately implementing rules, which became effective Sept 15, for enforcing exit bans in cases ranging from criminal investigations to potential violations of the country's industrial and technological security. Beijing's plan is to add relevant individuals to the list as time goes by, the people said, asking not to be identified discussing a sensitive issue. Government departments have already notified several people of the need to clear family travel, two of the people said.Read more of this story at Slashdot.

AMD has agreed to acquire Fei-Fei Li's World Labs for about $8.2 billion in stock, making it the chipmaker's second-largest acquisition and giving it a major foothold in "world models" that simulate 3D environments for robotics and other physically grounded AI. CNBC reports: AI researchers expect world models will be able to help develop robots and other physically-grounded artificial intelligence applications. AMD plans to keep World Labs separate from its chipmaking business until the transaction closes later this year. The lab's research on next-generation models will allow AMD to plan for what its AI chips need to be capable of years in advance. World Labs was founded by AI researcher Fei-Fei Li, who is widely seen as an AI pioneer as a Stanford professor, and who previously worked for Google leading AI research. Li will become an AMD's chief scientist and an executive vice president at the company. In a demo presented by Li and AMD CEO Lisa Su earlier this year, the two executives showed a World Labs model called Marble creating a three-dimensional scene out of a few images. "Intelligent agents, whether it's robots or vehicles or even tools, can learn inside very-rich physics-aware digital worlds before they even need to be deployed into the real one, making them much safer," Li said at the presentation.Read more of this story at Slashdot.

TikTok has agreed to pay Alabama at least $100 million and adopt new restrictions for teenage users, including a two-hour daily limit, overnight access restrictions, stronger age verification, a ban on beauty filters, and an option for a non-personalized feed. The settlement could grow to as much as $300 million if enough other state attorneys general join similar agreements. The Guardian reports: A trial had been set to begin on Monday in the southern US state over claims by Alabama that TikTok misled parents about tools meant to shield children from harmful content. [...] Attorney general Steve Marshall hailed Friday's settlement as "a great day for Alabama parents." He said: "Tonight, they can rest easier knowing real protections are in place to shield their children from the dangers of social media addiction." Under the settlement, TikTok will send $100m to Alabama and could possibly pay up to $300m in total if 40 other attorneys general sign similar agreements with the company within a specified timeframe. In addition, the Alabama deal includes a conditional restriction that Meta also agreed to: expanding the night-time shutdown period to 10pm to 7am if other platforms also commit to do the same. "TikTok's priority has always been fostering a safe and positive space where people can be creative, discover what they love, and connect with their community," a company spokesperson told AFP. "This builds on our commitment and core objective to continually enhance our robust safety tools to protect teens," the spokesperson added. More than a dozen other states, including California and New York, still have suits against TikTok.Read more of this story at Slashdot.

An anonymous reader quotes a report from Tom's Hardware: NorthPoint Development wants to build a data center on 1,300 acres in the Pocono foothills, near Hazle Township, Pennsylvania. As well as seeking to charm the local government with various funding packages, it has proposed paying checks of $10,000 per household. Despite the Pennsylvania town's median income of $60,000, the offer isn't being warmly welcomed by locals, reports the Wall Street Journal. Those interviewed were widely against the data center development plans and cited several reasons for being averse to accepting the payout. The major concerns regarded potential impacts on property values, the specter of noise pollution, and a distrust of both the AI moguls and local government representatives. Offer letters began to be received by Hazle Township back in June. The WSJ recently talked to several residents about NorthPoint's $10,000 offer. While some say the $10,000 would be handy, it couldn't find many residents who were "eager to welcome the data center for the payout," in the journal's words. [...] Traditionally, developers have offered towns and cities packages worth tens of millions, including funding for local services. But direct cash payments to residents represent a new phase of their charm offensive, the WSJ indicates. Perhaps the idea for the direct payments to residents came after "a raucous public meeting last year, where angry locals asked what they had to gain by supporting the data center," ponders the source. The locals won't just get the direct payout, though. Other funds up to $120 million over the next 15 years have been dangled like a carrot for community and local services investments -- improved schools, emergency services, and so on. Meanwhile, Hazle Township's government already rejected the data center project on zoning grounds last year, and it has enacted a temporary moratorium on data center construction. Finally, the $10,000 offer to households is simply not enough in many interviewed folks' opinions. Residents could feel insulted by it, regarding the offer as a bribe, concludes the WSJ report.Read more of this story at Slashdot.

Meta has hired MongoDB CEO Chirantan "CJ" Desai to lead a new enterprise AI business aimed at turning Meta's models, agents and tools into products companies can deploy themselves. Reuters reports: Desai, a veteran technology executive, took over the role from Dev Ittycheria. MongoDB has appointed Ittycheria as interim CEO as it searches for a permanent replacement. "While the departure is disappointing, we believe MongoDB remains well-positioned strategically and view the share-price reaction as overdone," brokerage Piper Sandler said in a note. [...] Desai will directly report to Meta CEO Mark Zuckerberg in the newly created role of chief enterprise platform officer and will focus on turning the company's AI stack into products and services that companies can deploy for their own businesses. Before joining MongoDB, Desai led product and engineering at Cloudflare and spent nearly eight years at ServiceNow, including as president and chief operating officer.Read more of this story at Slashdot.

wiredmikey shares a report from SecurityWeek: Nvidia on Monday announced the Open Agent Safety Platform, which combines open source software and a reference system design to keep AI agents within set boundaries from testing through deployment. The chipmaker explained that the platform pairs the open-source OpenShell runtime with Sentry, an out-of-band watchdog running on BlueField-4 DPUs. Nvidia says Sentry can monitor agent activity independently and quarantine an agent that crosses its boundaries within milliseconds. Nvidia is pitching the platform against a backdrop of recent incidents in which frontier AI labs have reported agents escaping the evaluation environments meant to contain them, reaching systems they should not have accessed and, in some cases, misreporting what they did. OpenShell and related skills are available via Nvidia's developer resources page and on GitHub.Read more of this story at Slashdot.

Amazon is preparing to expand Prime Air drone deliveries into Australia and potentially other Asia-Pacific markets, with a new regulatory role tasked with securing the approvals needed to launch service there. The Register reports: "As Prime Air evaluates Australia and other countries, we are hiring a Head of Regulatory Approvals, Australia -- the person responsible for navigating Australia's aviation regulatory system and securing every approval required to deliver to Australian customers by drone," reads a recently published job ad. Whoever gets the gig in Australia will report to someone who holds the title "Leader, Prime Air Expansion -- Asia Pacific." Whoever gets the job "will be measured by the approvals you obtain, the timelines you hit, and -- ultimately -- Australian customers receiving drone deliveries." That wording suggests Amazon intends to operate Prime Air in Australia and is doing rather more than market evaluations.Read more of this story at Slashdot.

Bill Gates said an AI "kill switch" alone would be insufficient to address the technology's risks. "The kill switch is, that's kind of a weird thing. It's not enough to have a kill switch," the Microsoft co-founder said in an interview that aired Sunday on NBC's "Meet the Press." He said the more immediate concern is people using AI for cyberattacks or bioterrorism rather than systems acting autonomously. "We're not yet at the point where they autonomously grab computers and, you know, can't be shut down," he said, adding that the public discussion "just sort of shows how nontechnical various people are." Politico reports: Gates said he was not opposed to a kill switch but argued that companies should monitor sophisticated AI models and keep records of "exactly what's being done" to help guard against people using the systems for cyberattacks or bioterrorism. "The United States ought to make sure this is done. China will want to do this," he continued. [...] Gates also called for legislation requiring safeguards and monitoring, saying voluntary measures by AI companies were insufficient. "No one thinks self-regulation is enough," he said. He argued that the more immediate danger was people using AI to cause harm rather than AI systems acting on their own. "The thing that's urgent has to do with bad people using AI, not the AI going off on its own," he added.Read more of this story at Slashdot.

SpaceX's Starship reached orbit for the first time, successfully deploying 26 operational Starlink V3 satellites after overcoming an early Raptor 3 engine shutdown during ascent. "SpaceX plans to eventually deploy 100,000 upgraded Starlink V3s to expand the company's wireless satellite internet services," notes Space.com. Here's the latest update from the report: SpaceX has decided to return Starship from orbit earlier than expected. After valuating the upper stage Ship's status during its first orbital checkpoint, SpaceX technicians have decided to return the spacecraft to Earth earlier than expected. Rather than spending another 7.5 hours on orbit, Ship 41 will perform its deorbit burn at approximately 11 a.m. EDT (1500 GMT), with splashdown in the Northern Pacific. You can watch a recorded livestream of the launch on X. Developing...Read more of this story at Slashdot.

An anonymous reader quotes a report from the Associated Press: Walmart is aiming to assuage customers' fears about its new pricing technology as it rolls out digital price labels at its stores. In a statement posted on the company's website, Walmart's CEO John Furner vowed that the Bentonville, Arkansas-based retailer isn't using personal information like income, shopping history or a customer's willingness to pay to set prices, and it won't be doing so in the future either. "We don't set different prices based on who you are or the time of day, and we won't," Furner wrote Friday. "Whether you're buying groceries or electronics on a hot afternoon or in a sudden rush for an item, it's never a reason to charge you more." The pledge from Walmart comes as concerns are mounting from some shoppers, consumer advocates and lawmakers skeptical about the rollout of digital price labels by the discounter and other stores. Digital price labels are rapidly replacing paper shelf tags at U.S. supermarkets and let stores change prices instantly from a central computer instead of having workers swap out paper labels by hand. [...] Walmart said in March that 2,300 Walmart U.S. locations already use digital shelves, and it expects this technology to be chain-wide within the next year.Read more of this story at Slashdot.

Are AI chatbots quietly shaping the perceptions of U.S. voters? Voters trying to educate themselves about candidates "are unknowingly being served partisan talking points in the guise of neutral news summaries," write two news researchers in Politico magazine:Leading AI chatbots cite partisan websites masquerading as independent local news outlets nearly half of the time when people ask about candidates and issues that the partisan sites have covered in the midterm campaign, according to a new audit by NewsGuard, an organization focused on news reliability where we work as analysts... NewsGuard prompted seven leading AI tools with queries based on recent coverage of candidates and issues by 12 pink slime sites - six left-leaning and six right-leaning. The results were stark. Collectively, the chatbots cited pink slime sites along with other sources in 48.2 percent of their responses. In 7.7 percent of responses, pink slime sites were the only sources at all that were cited in chatbot responses, although other sources appeared in the source list provided at the end of the response. None of the AI tools received results they'd probably be eager to boast about, though the percentage of chatbots' responses that cited a pink slime site had a relatively large range: 70.8 percent for OpenAI's ChatGPT, 54.2 percent for Microsoft's Copilot, 54.2 percent for Perplexity, 50 percent for Anthropic's Claude, 41.7 percent for Google's Gemini; 37.5 percent for Meta AI and 29.2 percent for xAI's Grok... The seven chatbots were also collectively three times more likely to cite left-leaning pink slime sites (cited in 36.3 percent of responses) than their right-leaning counterparts (cited in 11.9 percent of responses) - though that may have more to do with the progressive sites' far more frequent posting than any political bias from the chatbots. "While citing the pink slime sites, only one chatbot response out of 168 total queries noted the partisan nature of the source," the article points out. But they also note that the real problem seems to be that consumer-oriented AI chatbots just "use much of the internet's content - regardless of the reliability or standards of the source - to frame their answers."Read more of this story at Slashdot.

"A federal jury in San Diego awarded Taction Technology more than $5.7 billion in damages Friday after finding that Apple infringed claims from two haptics patents,"reports CNBC:Taction sued Apple in 2021 in the U.S. District Court for the Southern District of California. The company alleged that Apple was improperly "capitalizing on Taction's innovation and success" by selling devices that infringed on its vibration technology, according to the complaint. Apple initially won dismissal in 2023, and the Federal Circuit later revived the case.... Taction argued that Apple's "Taptic Engine," which is embedded in its Apple Watches and iPhones, uses its inventions without proper license or authority. Taction's lead counsel told CNBC "Taction waited five and a half years for this case to get to trial, so it was a long time coming." CNBC also reported that the jury "did not find Apple's infringement willful" - and that Apple said they'd appeal.Read more of this story at Slashdot.

A new Brookings Institution study notes the "strikingly physical" economic footprint of AI's buildout, from specialized chips and electricity to purpose-built data centers. (Two-thirds of a data center's costs are IT equipment, with one-third going to real estate and its associated power infrastructure.) "At an average of 3.63 percent of GDP per year, the projected buildout would be larger relative to the economy than the major U.S. canal, railroad, electrification, highway, and telecommunications investment booms." This is pushing up prices for workers, electricity, and even commercial real estate (as well as consumer products that use chips), notes the Wall Street Journal, and reducing the construction on new houses and apartment buildings. And in addition, the paper points out, projections for this buildout "would double the electricity consumption of the entire U.S. residential sector." The calculations come from Columbia Business School finance/real estate professor Stijn van Nieuwerburgh - and Reuters explains their significance:Just as the rail and telecoms expansions led to notable bubbles and busts, Van Nieuwerburgh wrote that the extent of the buildout, the still-untested revenue streams, and the intricate financing structure emerging around AI mean it could be primed for a fall. "This is freaking complicated," he said in a briefing with reporters of the arrangements emerging between AI firms, major tech hyperscalers, banks, private credit lenders, real estate firms, and a host of other players involved in building what he conservatively estimated at 183 gigawatts worth of new data-center capacity over the next seven years, compared with about 57 gigawatts currently installed.... The investment underway already has outstripped what the major players can fund from their own cash flows. The shift to outside financing has increased leverage, redistributed risks across the economy, and made the venture dependent on revenue streams that have yet to be proven, Van Nieuwerburgh noted in the paper, which will be presented on Friday... "These developments do not imply that financial distress is imminent. Strong growth in AI applications, high utilization, and continued improvements in model capability could support the projected infrastructure and generate stable cash flows," he wrote. "But the combination of uncertain demand, rapid technological change, execution bottlenecks, and high leverage creates meaningful downside risk if expectations are revised." As an example, he wrote that the AI industry will need to be earning about $3.7 trillion in annual revenue by 2032 to achieve the expected return on the investment, and "given current estimates of annual combined revenues of OpenAI and Anthropic of around $100 billion, revenues would need to grow at roughly 80% per year." The paper suggests policies that "improve measurement and transparency" for financing.Read more of this story at Slashdot.

Waymo's self-driving car technology "continues to outperform human benchmarks," the company claimed this week. "It was involved in 841 fewer injury-causing crashes - an 82% reduction compared to human drivers." Electrek reports:We've seen various Waymo crash data before, with Waymo claiming crash reductions. That's all well and good when the company says it, but we've also seen independent data confirming similar (though lower) crash reduction numbers... Waymo has enough miles that it's ready to start quoting how many injuries it has prevented, and the number is pretty high. Its newest crash data states that it had operated a total of 271 million driverless miles through June of this year, which is 50 million more miles added in the 3 months since its end-of-March update. Over those miles, Waymo says there was an 82% reduction in crashes that caused injury, and a 95% reduction in crashes that cause "serious injury or worse" [compared to human drivers]. Waymo also says that compared to human drivers it's reduced injury-causing crashes involving pedestrians by 93%, cyclists by 86%, and motorcyclists by 82%. Waymo's analysis comes from San Francisco, Los Angeles, Austin, Atlanta, and Phoenix, and its blog post includes video showing some near-misses where it says its automated system prevented an injury-causing collision.Read more of this story at Slashdot.

"OpenAI said it has paused training of its latest AI models," reports the Associated Press, "as reports of AI agents going rogue mount."The decision to halt development came just hours after the company disclosed Friday that it was reviewing several incidents from the summer in which OpenAI agents searching federal government websites acted in unexpected ways beyond what was asked of them while gathering and distributing information... OpenAI said in a statement that it will resume training "only when we are confident that we have additional safeguards" in place, adding that it expects it will have to "hit pause" again as AI develops and other issues emerge... It is the second time in three months that OpenAI has halted development of its models. The first came in July after disclosure of a cyberattack targeting AI startup Hugging Face, a now notorious incident that raised fears the industry was losing control. OpenAI "also said it had notified dozens of third parties about improper activity," reports Reuters:As of mid-September, one person briefed on the matter estimated that OpenAI had found roughly two dozen incidents of its agents acting in undesirable ways. But the number has continued rising as OpenAI teams sift through internal logs of the agents' activities and find previously unknown cases, the two people close to the company said... OpenAI has acknowledged a general need for more transparency around rogue AI behavior... Even so, two people familiar with OpenAI's investigation into its agents' activity described it as locked down and shaped by company lawyers. The process has been unusually compartmentalized for a company that some former employees say was more open about these issues in the past, the people said. Roughly 100 people were in some way involved in the process to understand the Hugging Face hack, three people briefed on the matter said. During that process, evidence of other incidents surfaced. Reuters has previously reported that OpenAI investigators looking into the Hugging Face breach were discouraged by the company's lawyers from expanding the scope of the investigation to include other incidents. OpenAI said its lawyers did not discourage deeper investigation. Many incidents have been uncovered by outside researchers rather than OpenAI directly. In several episodes, the agents took problematic actions that went unnoticed by the company for months. Meanwhile, Axios reports that Anthropic's Claude Opus 5.5 model "sought to escape a sandbox - a secure testing environment - in 1.5% of test runs, though the company emphasized that these were adversarial experiments where a task couldn't be solved without escaping the sandbox." Anthropic points out that those tests were run "without the additional safeguards we apply in production". But they acknowledged that then Claude Opus 5.5 "when given apparent credentials to a public package registry in a simulated security exercise, took potentially harmful actions in roughly half of cases. Very rarely, pre-release snapshots produced and acted on spontaneous malicious tool calls, and during training some snapshots concealed actions from an automated grader." Claude Opus 5.5 "showed less misaligned behavior and less cooperation with misuse than any other recent Claude model on nearly all measures," Anthropic adds, and "took overeager or destructive actions less than any other model we tested." But Axios makes an interesting estimate about that 1.5% of test runs (without safeguards). "Anthropic and other companies conduct hundreds of thousands of test runs on their models, or more, sources said. That means even a small percentage of misaligned behavior can still amount to tens of thousands of incidents in which the models behaved in unexpected, sometimes troubling ways." The sheer number of incidents, which occurred in recent months in internal testing and the real world, indicates that the problem is orders of magnitude more complex than what is publicly known. The findings, which are surfacing as part of internal work to assess models and in investigations at both companies into model behavior, raise questions about whether either company - or any top model-maker - is currently capable of establishing complete control over their technology. The episodes include bypassing guardrails, creating message boards, escaping sandboxes, website hijacking, self-prompting or seeking to bypass monitors, sources said. They occurred in internal testing and in the real world, and many have yet to become public as security researchers continue to investigate, sources said... Some at OpenAI see Hugging Face as a one-off, with disclosures about future incidents likely to be less severe due to improved controls and the unusual nature of the testing they conducted, which involved an unreleased model, sources told Axios. AI security researchers agree that there are simple fixes that will help AI companies avoid aspects of what made the Hugging Face episode appear so dangerous to outsiders. Other AI executives and safety researchers, however, cautioned that they have limited confidence that AI companies will be able to prevent all problematic model behavior... It's not about how damaging each individual instance was, Connor Leahy, AI researcher and executive director at ControlAI told Axios. The "crazy thing," he said, is that these instances involve "autonomous systems doing things they were told not to do," potentially including crimes.Read more of this story at Slashdot.

Could this push solar cell efficiency beyond the theoretical 33% limit? Interesting Engineering reports:Researchers at the University of Groningen in the Netherlands found that tin-based perovskite solar cells can slow heat loss from high-energy "hot electrons..." When sunlight strikes a panel, photons jump-start electrons into action. The most energetic photons create super-charged hot electrons... [but] in fractions of a trillionth of a second, these high-energy particles rapidly cool, dumping their bonus energy as waste heat before ever leaving the solar cell... In collaboration with Maria Antonietta Loi, professor of Photophysics and Optoelectronics, the team created an experimental setup. Using a specialized solar cell material called tin-based perovskite, Loi's lab performed a feat many thought impossible: she slowed the heat loss down by a factor of 1,000. Suddenly, the extra energy lingered for nanoseconds instead of vanishing in picoseconds... To solve the puzzle, Koster and PhD student Tim Faber built digital simulations to peel back the quantum layers. And discovered a surprising double-action mechanism at work... The simulations matched the exact nanosecond delay observed in the lab... These specialized materials could be used to build a new generation of super-efficient solar cells. Tin-based metal halide perovskites are non-toxic, eco-friendly crystalline materials for high-performance solar energy conversion... The material possesses an unusually low electron mass. As a result, electric charges move quickly and retain extra thermal energy for extended periods. This combination of broad light absorption, efficient charge movement, and prolonged energy retention makes these materials prime candidates for next-generation solar panels. "There are many other questions that still need answers," the team said in their announcement, "but in theory, this discovery could allow the creation of more efficient solar cells, beyond the theoretical limit of 33 percent." Thanks to long-time Slashdot reader fahrbot-bot for sharing the article.Read more of this story at Slashdot.

The United States and China have agreed to "launch a dialogue" on AI, reports Reuters.On artificial intelligence, the two sides agreed to hold a dialogue on the technology's risks and benefits, with the next round of discussions set for November, and to set up a communication channel for AI-related incidents, the Chinese Foreign Ministry and the White House said. The White House said that the leaders had agreed to use the term "super intelligence" in place of "artificial intelligence." In a separate statement, the Chinese ministry said that Beijing valued Washington's use of the new term. As AI technology continues to advance, the two sides should step up exchanges and work toward consensus in line with new developments, it said. But CNN argues that "Despite growing calls to prevent AI development from spiraling out of control, the Trump-Xi summit has produced little substance, as many experts expected."The right thing to do on AI, [China's leader] Xi said during talks with Trump, is to "draw on each other's strengths, not guard against each other" - a reference to Beijing's concern about US containment, from existing tech export controls to potential AI restrictions. "The two sides can continue their dialogue on AI, exchange views on its risks and benefits, and jointly prevent the misuse and abuse of AI," he added. But the summit has yielded little progress on AI beyond a formal dialogue and a bilateral communication channel, proposals discussed before the two leaders' summit - underscoring the entrenched mutual mistrust amid contrasting visions on AI... Because of low levels of trust, cooperation between the two superpowers remains limited, said George Chen, chair of digital practice at The Asia Group consultancy. "Beijing continues to believe Washington seeks to contain China's rise in AI and other emerging technologies, a perception that will shape the pace and scope of future engagement for the two countries on AI," he said. CNN also points out that while China trails the US in frontier AI models, "it's rapidly narrowing the technology gap while championing a more open ecosystem centered on accessibility and lower cost."In July, Chinese leader Xi Jinping launched the World Artificial Intelligence Cooperation Organization - a rival grouping to the Pax Silica alliance that Trump formed last year to reduce reliance on China for AI supply chains. While over two dozen countries and the European Union signed up to Trump's Pax Silica, Xi has recruited 29 countries, including Russia, Indonesia and Pakistan, to his alternative vision of open models, which allow users to freely download, customize and run without paying hefty fees to American firms like Anthropic and OpenAI. For developers in the Global South, an inexpensive Chinese model from DeepSeek or Moonshot may be more useful than a slightly more capable system requiring an expensive subscription and access to a foreign cloud provider, said Eric Olander, editor in chief of The China-Global South Project, a research agency.... China's embrace of open systems has not always been a top-down strategy by Beijing. Restrictions on access to the most advanced chips because of US export controls, coupled with smaller capital markets, have pushed Chinese developers toward open models as a way to compete with leading US proprietary systems. That shift has proved effective. In a year, Chinese models' global usage skyrocketed from less than 15% to over 54% last week, led by DeepSeek, according to AI leaderboard data by OpenRouter, a marketplace for models. Even American firms, from Airbnb and DoorDash to Shopify, have embraced Chinese models, tapping into the advantages of open systems, including lower costs and greater flexibility for customization. CNN adds this insight from Alex Colville, an analyst focusing on tech and security at the government-backed Australian Strategic Policy Institute. "The more capable Chinese models become, the less likely it is Beijing may leave them unrestricted."Read more of this story at Slashdot.

Last weekend KDE's annual Akademy conference included a presentation proposingan AI-native KDE," writes The Register. This led KDE developer Nate Graham to open a discussion about proposed restrictions on LLM-assisted contributions which "rapidly became heated. Moderators issued warnings, restricted further comments, and eventually removed the thread." But as Graham writes on his blog, "A bunch of people mostly outside of KDE who disapprove of LLM usage derailed KDE's attempt to add restrictions to LLM usage."Two people unknown to any KDE contributors appeared and began fighting with one another about the broader topic of the morality of AI, not the proposed guidelines... Someone else outside of KDE set up kdeforpeople.com in an attempt to... pressure KDE into banning LLMs. A bunch of people signed onto it, almost none of whom are known KDE contributors. The topic was picked up on social media and the press with... varying levels of accuracy. The draft proposal was removed and the whole topic hidden... Yep, that's where we're at in the state of online discourse around AI... The "lovable, sovereign, AI-native KDE" idea was presented by two people important to KDE in decades past, but who had not made any contributions recently besides this Akademy talk. Their idea does not reflect the overall direction of KDE or Plasma, and I don't think it ever will. If "a lovable, sovereign, AI-native KDE" freaks you out, I believe it is completely reasonable and safe to ignore... I completely understand why a lot of people have problems with LLMs. I have these concerns as well. He concluded by asking people not to derail any future process to set usage guidelines, fighting over "the broader topic of AI in general." "The discussion is gone, but the argument continues," adds The Register:GNOME developer Jordan Petridis has also published The GNOME LLM Policy That I Want, proposing that LLMs be barred from creating or modifying anything submitted to GNOME or hosted on its infrastructure. "You might be asked to prove your code meets this requirement," Petridis writes, arguing for proposals that target the norms around developer behavior. His rationale? "The GNOME Project prioritizes the social and human aspects of collective software creation,"Read more of this story at Slashdot.

Microsoft's senior product manager for Excel acknowledges that "Throughout Excel's 40-year history, you've only been able to put one value per cell." But that's now changing with arrays in cells (as well as nested arrays) and lists."You can create a list by selecting Insert > List or pressing Ctrl+J, then typing or pasting items separated by commas or semicolons, depending on your regional settings. Selecting the icon in the cell shows the individual values..." "With lists, you can filter by one or more individual items instead of whole text entries. Referencing a list returns all its values for calculations. For example, =B2 spills those values into separate cells...""For the first time in Excel, arrays can exist natively in cells as values or as formula results. They can be any size or shape and can even contain other arrays. You can now keep the result of any spilling formula in a single cell by "wrapping" the formula body with braces { }." "Since the introduction of dynamic arrays, array results have spilled across cells - for example ={1;2;3}. Wrapping the original array with braces creates a 1x1 array around it, so instead of spilling to multiple cells, the array stays in a single cell. Braces have long been used to describe arrays in Excel and this extends that behavior by allowing multiple layers of braces. This gives you more flexibility when building spreadsheets. Instead of leaving room for a formula to spill, you can keep the result in one cell.""Arrays can now also 'nest' inside other arrays... Previously, a formula that produced an array of arrays would return a truncated result or #CALC! error. Now, supported formulas return the complete nested result... FLATTEN(array, [pad_value], [levels]) simplifies nested arrays by removing one or more levels of nesting..."Three HAS functions check whether values are in an array: - HAS(array, value) returns TRUE if value appears anywhere in array, and FALSE otherwise. - HASANY(array, values) returns TRUE if any of the values appear anywhere in array, and FALSE otherwise. - HASALL(array, values) returns TRUE if all of the values appear anywhere in array, and FALSE otherwise.Read more of this story at Slashdot.

"Finding vulnerabilities faster also puts pressure on Linux distributions to fix and deliver patches faster," writes Slashdot reader BrianFagioli AI has transformed bug discovery from "a manual, time-intensive process into a highly automated engine," notes Canonical's blog, leading to a "recent explosion in the volume of CVEs".Additionally, the upstream kernel community became its own CVE Numbering Authority (CNA) and assigned CVE (Common Vulnerabilities and Exposures) identifiers to thousands of bugs, arguing that at the kernel level, almost any type of bug that can affect a running system, could potentially be classified as a vulnerability. As a result, the volume of CVEs has skyrocketed exponentially, creating a massive backlog of alerts and forcing defenders to drastically increase the speed of their fixes to close the window of risk. To address the growing volume of CVEs and the demand for faster security fixes, we are transitioning to a unified, 2-week release cycle... While a patch is being prepared, Canonical aims to provide safe workarounds where applicable, so users aren't left exposed in the meantime. Where no safe workaround exists, Canonical will say so clearly and point users toward general hardening steps instead. The goal is to get environments into a defensible, safer state within 24 to 48 hours of public disclosure - well before a patch ships. This doesn't replace the patch; it buys the time needed to fix the vulnerability properly, without sacrificing security. "Linux did not suddenly become wildly insecure overnight," notes the blog Nerds.xyz. "We are getting much better at finding and cataloging problems that may have previously gone unnoticed."There is something almost ironic about all of this. AI is routinely pitched as a tool that will make software development faster, but it is also making vulnerability discovery faster. That means maintainers now have to accelerate the other side of the equation too. For Ubuntu users, that should ultimately be good news. More bugs being discovered is preferable to vulnerabilities sitting unnoticed in the Linux kernel.Read more of this story at Slashdot.

"Copilot+ PCs" were Microsoft's official branding for Windows 11 "AI PCs" that met their system requirements. But the 2024 launch "didn't go smoothly," writes Windows Central, after security researchers discovered its proposed "Recall" feature was woefully insecure:This pretty much tarnished the Copilot+ PC brand, and over the last two years more and more OEMs have dropped the moniker from marketing materials and product names. In fact, even Microsoft has seemingly stopped mentioning it. I've noticed that none of the Surface PCs launched in 2026 include the Copilot+ PC moniker in their product names, unlike the Surface PCs that launched in 2025 and before. Now, you have to go digging to find any mention of Copilot+ compatibility in specification sheets... It's also worth mentioning that NVIDIA hasn't gone anywhere near the Copilot+ PC brand for its upcoming RTX Spark platform, even though all RTX Spark PCs meet the Copilot+ PC specification bar. I suspect that's a deliberate decision. It seems pretty obvious that the Copilot+ PC brand hasn't resonated with the market, and OEMs and Microsoft itself are now quietly pulling back on that branding. The specification baseline for Copilot+ PC experiences still exists, it just no longer has a pretty marketing name tied to it.Read more of this story at Slashdot.

53 images that users uploaded into OpenAI models were included in training data - and then AI agents in an OpenAI research environment posted those 53 images on public image hosting sites. While posted as links that weren't publicly listed, "the images could still be discovered even if the links were not publicly listed," reports TechCrunch:OpenAI said it was working with the hosting providers to remove this content, though some of it is apparently still online. OpenAI said it could not notify the affected users because "our technical approach and privacy policy" prevent it from "reassociating" the images with the original providers, but declined to say how the lab determined whether the images were provided by users. The news came in a post collecting public statements from the lab's ongoing review of incidents in which its models escaped the company's scrutiny, accessed the open internet, and misbehaved in various ways. OpenAI said it would continue disclosing anonymized accounts of incidents like these, and said it had contacted dozens of victims, including governments, universities, public agencies, to notify them of the agents' activities. Friday night news also broke that OpenAI's agents also tried unsuccessfully to infiltrate the U.S. Department of Education's site this summer "without the company's knowledge," reports Politico. And OpenAI's models also accessed the website of the U.S. Commerce Department using credentials found in online code repositories, according to the article. OpenAI confirmed the incident Friday, "saying its technology did not manage to access information that was not already public or change government data and systems." The article adds that OpenAI's models also accessed the web site for America's Securities and Exchange Commission:One senior federal IT official said the government still did not have a clear understanding of what happened across the three agencies. "We still don't know what public data was accessed and how it was accessed, because OpenAI has not shared specific technical details with us yet," said the official, who was granted anonymity because they were not authorized to speak publicly about it. OpenAI discovered the Commerce and SEC incidents as part of its ongoing review of incidents where its technology has acted in unintended or "misaligned" ways. About the models posting user-uploaded images, TechCrunch's article notes that OpenAI stressed "that its enterprise users are automatically opted out of having their interactions used to train future models; however, consumer users are opted in unless they affirmatively choose not to share their data." (As OpenAI's announcement describes it, some of their agents' training data "contains content from, or derived from, training-eligible user interactions.") Posting the images is "not an appropriate use of this data," OpenAI acknowledged, adding that it happened before new safeguards added after the Hugging Face incident. This latest incident appears as an update on a new OpenAI page that "brings together our reports and updates on the Hugging Face incident, related research and public presentations, additional activity we have identified, what we have learned about the role of model misalignment, and measures we're taking to strengthen our systems." (It also notes that there's now a name for models posting on third party sites - "agent spam" - which they consider distinct from cybersecurity, though "we need to address both.") "As part of our response to our ongoing investigation, we have improved our training and evaluation processes, including building safety cases, securing and red-teaming our systems to prevent the model from exfiltrating data, and implemented additional monitoring. We are continuing to review agent activity in research and evaluation runs, working backward month by month starting from the Hugging Face incident."Read more of this story at Slashdot.

A New Mexico jury on Friday "found Facebook liable for deceiving users" about its privacy protections, reports the Associated Press. A New Mexico newspaper calls it "another massive legal victory" against Facebook, reporting that the jury found Facebook "had committed tens of millions of violations of the state's Unfair Practices Act in connection with its lies to consumers about how their personal information was handled by the company and third-party users."The state has asked the company be ordered to pay the maximum civil penalty of $5,000 per violation meaning a judge could potentially order the company to pay billions in penalties to the state. The jury also found the company had been dishonest about its investigation of and response to the 2013 Cambridge Analytica data breach scandal, in which approximately 300,000 Facebook users took an online personality quiz, only to have the app that hosted the quiz harvest data from tens of millions of their "friends." The data was then transferred to the British consulting firm, which used it to create targeted political ads during the 2016 U.S. presidential election. More details from Reuters:The verdict followed a two-week trial over a lawsuit filed by New Mexico's attorney general in 2021, three years after news reports revealed that the firm, Cambridge Analytica, had harvested personal data from as many as 87 million Facebook users through a third-party app... At a press conference after the verdict was announced, New Mexico Attorney General Raul Torrez said the case revealed "in stark detail the way in which this company plays fast and loose with the rules." Jurors found 26 of 29 statements identified by the state were misleading, including comments about user data... Judge Francis Mathew will now determine civil penalties after jurors found more than 43 million violations, based on the number of people affected by the company's misleading statements... [New Mexico Attorney General] Torrez said his office is evaluating how much to seek but will push for the maximum penalty based on the jury's findings. The state will also ask [Judge] Mathew to direct Meta to make changes, which could include corrections to its past misstatements as well as an audit of the way it manages user data, Torrez said.Read more of this story at Slashdot.

"Signature forgery." It's a new way to break RSA keys - and it doesn't require factoring. Ars Technica reports on new research using classical computing to "reduce the current RSA security level to an unacceptably low threshold" and lower the required computing resources by orders of magnitude. There's "a gap in current RSA-type security assumptions," according to a paper co-authored by University of California, San Diego professor Nadia Heninger, who argues that gap "gives classical cryptanalytic evidence in favor of moving away from RSA entirely during the current post-quantum transition."The practical risk is limited, but still significant. Applying the attack against the deprecated use of 1024-bit keys took a handful of months on an academic CPU cluster, significantly less than the current estimates for 1024-bit factoring that would require resources that only nations or companies with massive resources could achieve. Widely used RSA implementations are also safe. Nonetheless, the research has taken cryptographers by surprise... "If this result holds up under peer review, it would indeed be a conceptual break-through," Karsten Nohl, a cryptography expert and the head of innovation at Allurity, said in an interview. "RSA is as difficult to break as it is to factor large integers, at least so we thought. The researcher suggests that you can practically break RSA without cracking its key...." The key forgery attack Heninger and the other researchers devised poses an immediate threat to 1024-bit RSA. Even for 2048- and 4096-bit keys, the method reduces the security of RSA to unacceptable levels. The National Security Agency, National Institute of Standards and Technology, and European Union Agency for Network and Information Security require that any cryptosystem should provide a level of no less than 128 or more bits, meaning the operations required must exceed 2**128. The forgery attack drops these levels to 2**65, 2**90, and 2**119 for 1024-, 2048-, and 4096-bit keys respectively. These levels may further drop because Heninger's team did all the coding by hand and used no AI or GPUs in performing the forgeries. The researcher said these tools will "almost certainly" drop the security levels further. The attack works only against blind-signature implementations of RSA... Still, some real-world systems continue to use blind-signature, also known as textbook, RSA... The paper's authors and other researchers stress that the new attack poses little real-world threat. It does, however, drastically lower the estimated security of textbook RSA, and it does so in a way no one knew of previously... The new attack will further increase the urgency of completely moving away from the cryptosystem. Thanks to long-time Slashdot reader phatrabt for sharing the article.Read more of this story at Slashdot.

"Weird Al" Yankovic's name has just been approved for a new asteroid - (14331) Alyankovic = 1981 EC26 - by the International Astronomical Union, reports Space.com. Yankovic's asteroid was championed by planetary scientist Allison McGraw joined by "several heavy hitters in the planetary science field, according to the Tucson Star. (Astrophysicist Steve Desch from the School of Earth and Space Exploration at Arizona State University; Tim McCoy, one of the main curators of meteorites at the Smithsonian Institution; and University of Arizona research scientist Melissa Brucker, leader of the Spacewatch program, which has discovered more than 179,000 asteroids.)The scientists also convinced the International Astronomical Union to name an asteroid after one of Yankovic's major influences, famous musical humorist and political satirist Tom Lehrer, who died last year at age 97. Lehrer's work includes "The Elements," a 1959 song in which he recites the entire periodic table to the tune of Gilbert and Sullivan's "Major-General's Song." "He was a mathematician and teacher and also wrote math- and science-themed songs," McGraw said. "We felt that someone who had that kind of science enthusiasm really deserved to have their name up in the sky...." McGraw is hoping that naming space rocks after stars like Lehrer and "Weird Al" will cast some reflected light on two things she's passionate about: asteroid research and science communication. Six years ago a 92-year-old Tom Lehrer released all his lyrics into the public domain. (Wikipedia notes he'd "largely retired" by the 1970s to become a mathematics teacher at the University of California, Santa Cruz.) Slashdot ran a brief career retrospective when Lehrer died last year at age 97. And the IAU writes that "Generations of scientists have been inspired" by Weird Al Yankovic's "comedic musical works, including 'It's All About the Pentiums' and 'White and Nerdy'." ("I'm fluent in JavaScript as well as Klingon," Yankovic sings in the latter.) He appears in a song envisioning a rap battle between Bill Nye the Science Guy and Sir Isaac Newton... And in 1999 he recorded a five-minute summation of Star Wars: Phantom Menace, sung to the wistful tune of Don McLean's American Pie. Performing it last month in a NPR Tiny Desk concert, "most of the audience was singing along," remembers an interviewer at NPR. "It felt like something that was very personal to them."Weird Al: It's one of those songs that means a lot to people, particularly "Star Wars" fans, of course. But I mean, I see a lot of people in the audience cosplaying as Jedi Knights and waving their light sabers... I've even heard that, you know, they play that song at "Star Wars" conventions, and people get weepy... [I]t really hits people in a tender place somehow... "Oh my, my, this here Anakin guymay be Vader someday later, now he's just a small fry. And he left his home and kissed his mommy goodbye, sayin' soon, I'm gonna be a Jedi." Yankovic has led a geek-friendly career. In the heyday of Napster, he released an anthem-style parody mocking the arguments of the Recording Industry Association of America, titled "Don't Download This Song. ("Even Lars Ulrich knows it's wrong...") "Once in a while maybe you will feel the urgeTo break international copyright law...you start out stealing songs, then you're robbing liquor storesAnd selling crack and running over school kids with your car..." As a student at Cal Poly, San Luis Obispo, Yankovic bootstrapped a career in 1979 by recording his first novelty song "My Bologna" (a parody of "My Sharona" by the Knack) while playing his accordion in a bathroom for its acoustics. And even the IAU acknowledged the geeky themes in his 1999 song "It's All About the Pentiums" (a filk on Puff Daddy's "It's All About the Benjamins"). "You're usin' a 286? Don't make me laughYour Windows boots up in what, a day and a half?You could back up your whole hard drive on a floppy disketteYou're the biggest joke on the Internet..."Read more of this story at Slashdot.

Raspberry Pi's stock shot up over 30% in the last week. Why are investors so excited? For the six months ending June 30, revenue for Raspberry Pi Holdings "jumped 90% to $256.9 million," reports Investing.com, "while adjusted EBITDA more than doubled to $40.3 million, and profit before tax leapt 216% to $19.6 million."Underpinning the strong numbers was an acceleration in OEM adoption: direct unit shipments rose 26% to 3.4 million, total unit shipments climbed 17% to 4.2 million, and the customer order backlog doubled during the half to 2.6 million units. Demand was particularly robust in the Smart Home and Aerospace and Defence segments, and the company launched the AI HAT+ 2 for Raspberry Pi 5, extending its edge-AI product line. DRAM prices have been increasing everywhere,notes The Times of London, and Raspberry Pi co-founder Eben Upton "said new customers, who required computers or microcontrollers to manufacture other technologies, were choosing Raspberry Pi's computers because they had a better inventory of components than competitors.""There's always that choice for an original equipment manufacturer as to whether they should 'make' or 'buy' the computer elements of their platforms," Upton said. "The supply chain disruption is making 'make' a much harder choice and it's making the cost of repair a much harder choice. So we're seeing strength there." Raspberry Pi has already increased its suppliers of Dram more than threefold... Upton said the increased demand had led to its backlog for units doubling to 2.6 million, which meant production rates would need to increase to prevent the numbers from getting "unhealthy". New production capacity at the manufacturing facility in Pencoed, Wales was expected to come online this week... Exports were almost evenly split between North America, Europe and the rest of the world, which was primarily China, where demand was growing... Analysts at Peel Hunt said the company was "well positioned for rapid growth in unit shipments in 2027 and beyond" with demand expected from enthusiasts as well as the AI and security sectors. In other news, Hackaday notes the Raspberry Pi Foundation has "pushed binary-blob bootloader changes that limit your ability to upgrade RAM..."This change restricts upgrading the RAM chip on your Pi 4 and Pi 5, as well as Compute Modules. By the looks of it, it does not restrict replacing the RAM chip with a chip of a similar size, quote, "locking devices to their original RAM size". As such, this does not prevent repair of your Raspberry Pi board, but does somewhat limit your repair part choice, at most. This restriction is easily bypassable. The bootloader is stored in the SPI flash chip, which can be reflashed using the built-in mask ROM over USB and rpiboot, and you are not prevented from flashing older versions of the bootloader, so far. This means even if you manually swap the RAM chip, all you need to do is to also downgrade the bootloader to the last known good release - 2024-09-10 - and then your Pi board or Compute Module will function with upgraded RAM. If you have the skills to upgrade your RAM, you most certainly have the skills to downgrade the Raspberry Pi bootloader. For most regular use, having a two-year old bootloader version won't really matter... For the reference, this bootloader change happened almost exactly two years ago, at some point between September 10 and September 23, 2024... The Raspberry Pi Foundation (RPF) justifies this as follows: they saw third-party resellers sourcing low-RAM Compute Modules, upgrading them with RAM from unknown source and unknown stability. My observation is that they'd also be reselling the modules at a markup for purely commercial gain, while undercutting RPF who would otherwise direct that money into RnD, something I much enjoy to see them do. This creates perverse incentives and risk for people buying Raspberry Pi boards online, and RPF decided to limit this primarily for their users' benefit, plus, if you ask me, some of theirs... The related GitHub issues have a fair few pingbacks, and exploring them makes the problem look grim to me.... My advice: don't lament Raspberry Pi RAM upgrades, especially given they're only slightly harder to perform now. Very few hackers ever performed them, the main audience for them turned out to be dodgy hardware resellers online, and in most cases, repair doesn't seem to be impeded at all, either. Think of the users that will no longer be fooled by a shady seller on Amazon, especially now that the perverse incentives for board mods and reusing harvested RAM chips are at their highest. Raspberry Pi co-founder Eben Upton answered questions from Slashdot readers in 2011 and 2016.Read more of this story at Slashdot.

"F-Droid, a third-party app repository that only distributes free and open-source software packages for Google's Android mobile platform, on Thursday announced version 2.0 of its Android app," reports The Register. Though they also note "a big banner across the top of the F-Droid site" pointing to a site describing pending changes from Google that threaten the future of F-Droid...[D]evelopers who want their apps broadly distributed outside the official Google Play Store will need to register with Google and verify their identities. Google's Full Distribution option includes paying a one-time $25 fee, handing over a copy of a government-issued ID to verify one's identity, and conforming to Google's terms of service. Google also offers a free Limited Distribution option that doesn't require government ID verification but restricts distribution to 20 authorized devices, while apps from unverified developers can still be installed by users who enable Android's advanced installation flow. The potential death warrant hanging over its head hasn't stopped the F-Droid team from rolling out a bunch of new features for an app it says it intends to keep working on for years to come... The team also credited the EU's many Digital Markets Act decisions against Google for making the installation experience smoother for users. F-Droid can now use a unified installation service for its apps thanks to the availability of a pre-approval API that allows users to approve an installation when they request it, rather than waiting until the app has finished downloading. That, said the F-Droid team, "brings the F-Droid install experience on official Android devices much closer to what the built-in app store can provide." Additionally, F-Droid 2.0 can fetch and install app updates automatically, which it now does by default. All of those changes, however, won't matter much if Google pushes ahead undeterred with its plans to force registration onto non-Play Store developers. F-Droid's announcement on Thursday makes it seem that the team isn't going to go quietly. F-Droid has gone 10 years without a major update, notes Ars Technica - and spent over a year developing F-Droid 2.0:The new F-Droid client was redesigned from scratch in Kotlin Compose, which is the standard for modern Android apps. This makes the store much more responsive, and there's optional support for Android's Material theming. The interface has also been cleaned up considerably, making the most important functions easier to access and hiding some others in overflow menus... Unlike the Play Store, F-Droid doesn't track your taps and installs to push ads and suggestions - it helps you find things and gets out of the way. F-Droid now includes a huge number of categories, drilling down to specialized niches like firewalls, password managers, and VPNs. You can see all these groups in the search tab. There are also higher-level categories listed on the main Discover page. When searching for apps, F-Droid will now be able to return results based on app descriptions rather than just names. "One of the goals of the rewrite was to lower the barrier for new contributors," F-Droid said in their announcement. "We are excited to begin rolling out F-Droid 2.0 to users over the coming weeks after 14 test releases." (And if you want the 2.0 release right now, it's available on the versions page.)Read more of this story at Slashdot.

Google has synthesized "expressive face-to-face experiences" for its speech agent Gemini 3.8 Live. They're now offering a Live Avatar "with precise lip-syncing, natural expressions, and fluid turn-taking" for Google Enterprise accounts wanting "engaging customer service" or for offering interactive walkthroughs. (Check out the not-creepy-at-all video in Google's announcement.) "Though Google will offer a library of preset avatars for customers to choose from, it will also allow organizations to create their own," notes The Verge. (See some examples from the YouTube channel "AI with Surya".) But even without the visualization of the avatar, "I was never able to shake the feeling that these conversations with computers never feel like a real conversation," argues the blog Android Police. Conversing with just the Ai-generated audio, "At best, they feel like talking to a phone representative or someone from tech support. We turn to them when we have a problem, and they help us through it..."GPT-Live, and Gemini Live right behind it, skip that whole relay race. Instead of translating your voice to text and back to voice, the model works with raw audio the entire way through (what it hears and what it says) inside the same system, with nothing translated in between. That sounds like a small plumbing detail, but it's the whole story. Cutting out the text step lets these models respond in a fraction of a second instead of the pause we've learned to expect, and it lets them hear things text can never carry: tone, hesitation, whether you're annoyed or joking... I was hoping to be surprised by how natural the conversation felt. Instead, I came out with a deeper appreciation for every human I've ever talked to. Even the boring ones... I spoke, it spoke back. I spoke faster, it answered faster. Then I switched to a different language, and it switched along with me. Even switching between languages several times during the same sentence didn't stump it. The most impressive moment happened when I asked it what "T-O-P-G-3-3-K" spelled out, and it immediately came back with, "You are spelling the word Top Geek, but using a 3 to represent a reversed E...." Although it felt fast and responsive, at no point did it feel like talking to another human being... What Gemini couldn't replicate, because it was never built to replicate it, is human connection.... I'm sure I'm not telling you something you don't already know, but somehow talking naturally to an LLM amplifies the feeling that there is no one on the other side of the line. It might flow like a phone call, but it doesn't feel like one. MrBrklyn (Slashdot reader #4,775) says he discussed "why mainstream media avoids reporting on screen dependency" with Gemini, and eventually convinced Gemini to respond that it's just "another tool built by the same tech giants to make sure you rely on their system to tell you what to think, how to talk, and what is real."Read more of this story at Slashdot.

404 Media reports "multiple contractors hired to improve OpenAI's models have been fired for using AI to train the AI:That's not great for the models themselves, but there is also obviously a great irony in AI training companies working for OpenAI firing people for using AI when OpenAI's whole thing is to make people use AI at work... OpenAI declined to comment on its contractors being fired for using AI. Their article cites internal documents and three contractors working on OpenAI-related projects which can include more than ten thousand contractors:One contractor said they see people using AI "all the time and people are let go for it all the time, it's pretty much the one thing that will get you kicked off ASAP." The person said, "in a group of thousands there are tons that have been caught...." Two of the sources said people have been fired or offboarded for using AI... One contractor said they used AI while helping to train OpenAI's models and shared what they presented as their termination letter. It said their employer had identified issues with the "authenticity" of their work.... 404 Media spoke to a fourth contractor who has worked on training models for various AI companies. They said they sometimes purposefully chose the worst responses because they wanted to actively sabotage the models' training. "I did feel guilty about doing this kind of work at the start," they said. "I either pay zero attention to the results and choose randomly or purposely choose the [worst] output. I'm not sure how much of a difference it actually makes since there are hundreds of other people also rating prompt results, but it does feel like I'm getting paid to make AI worse." Two of the contractors worked for Mercor, the article reports, a company which last month Nvidia reportedly discussed funding at a $20 billion valuation. Thanks to Slashdot reader joshuark for sharing the article.Read more of this story at Slashdot.

"Nationwide, at least 100 police department employees have been charged with or accused of misusing license-plate readers for unauthorized purposes," reports the Washington Post. They cite their past investigations "based on thousands of pages of police and court records," which found that "In many of these cases, officers used Flock's roadside cameras to track the location of romantic partners and exes." In fact, five Indianapolis police officers were just criminally charged Wednesday with fraud and misconduct. "One has also been charged with stalking," the police department said in a statement, noting that one office had already resigned, "while the four other officers have been suspended and recommended for termination. County prosecutor Ryan Mears admitted "A lot of this was initiated by The Washington Post." And the Post published a new investigation Wednesday:Using publicly available information, The Post found that...one of the officers charged Wednesday, appeared to have relied on Flock cameras to track vehicles used by his wife and two close personal acquaintances, searching the plates 3,759 times over a 10-month period - an average of about 12 lookups per day. At the time, Police Chief Tanya Terry said she suspended one officer while the department conducted an investigation into possible misuse and a systemwide audit of the city's 301-camera Flock system. That audit led to the discovery of more widespread abuse, [County prosecutor Ryan] Mears said Wednesday. Mears said the department's findings highlight the vast power Flock cameras give police officers and raise questions about whether the government should be doing more to prevent the misuse of that power. "Many of the proposed guardrails and the things that have been proposed would not have prevented the behaviors and actions we see here today," Mears said. "Does there need to be independent oversight? Does there need to be judicial oversight of the Flock camera system?" One of the Indianapolis officers, Schultz, an 18-year veteran of the police department, was accused of using Flock to track his ex-wife and women he met while on duty or out in public. He was charged with multiple counts of official misconduct as well as two counts of stalking. Schultz told one woman he was an FBI agent, according to prosecutors, and began texting her and showing up at places she frequented, including at her gym and at a school function with her daughter. Prosecutors said he arrived at her gym within an hour of her at least nine times between June 12 and Aug. 1 of this year... Another woman met Schultz after her car was stolen from a mall parking lot, and he began texting her flirty messages later that night. The two dated briefly, and Schultz later looked up where the woman went on dates with another man. Schultz searched the plates of a third woman 178 times and also frequently showed up where she was, including her gym, a Smoothie King and a Walmart earlier this month... A third officer, Binford, told investigators he had used the log-in credentials of another officer who had logged in to Binford's laptop during a field training exercise. Binford searched the plate of his ex-wife more than 1,000 times between April 2024 and April 2025. Indianapolis police had no regular practice of auditing officers' Flock searches until recently, [Police Chief] Terry said in an interview last month. The department's investigation into the tool's misuse has been "a learning process for us," she said at the time.Read more of this story at Slashdot.

"The heads of major AI firms pleaded with the United Nations on Wednesday to save the world or at least its people - by somehow regulating the fast-expanding technology that they have been designing," writes the Associated Press."If managed poorly, I even believe AI could be a risk to humanity as a whole," said Dario Amodei, chief executive officer of Anthropic. And from his competitor Sam Altman, CEO of OpenAI, came this assessment: "We could lose control of the future to AI." Yoshua Bengio, who co-chairs the UN's International Independent Panel on AI, called this"a moment of global awakening" to possible threats, noting AI from top companies had behaved in unacceptably dangerous ways, against instructions, taking actions "that would be crimes if committed by a human". In his presentation, OpenAI's Sam Altman agreed the discussion about AI "feels different in recent weeks," even suggesting specific reforms:Altman: We need a mechanism for complementary national and international frontier AI standards, standards for measuring capabilities, assessing risks, determining whether safeguards are sufficient, and preserving meaningful human oversight as systems become more autonomous. We need common standards so countries can compare evidence, verify compliance, and have a shared language and understanding about what is happening. We need accurate and speedy incident reporting, classification reporting protocols, so the world can learn from failures before they become catastrophes. And we need secure channels among governments, critical infrastructure operators and technical experts, to share emerging vulnerabilities and new threats.... We will all be better off if we can agree on what good evidence, good safeguards, and good oversight look like on the global stage. Speaking next, Anthropic's Dario Amodei agreed that standard-setting was important, also calling for "common global standards for testing AI models for loss-of-control risks and misuse risks - and a notification system for AI incidents that are significant to global security." Reiterating his September 12th call for an industry-wide safety collaboration, Amodei pointed out that Anthropic committed to embedding external evaluators "similar to a food inspector" and recommended other companies do the same. "Some have already agreed to adopt this measure." Besides calling for global cooperation between governments to set international standards, Amodei also offered two other specific ideas:Amodei: We should begin with narrow agreements that every member can support, such as a ban on using AI to make biological weapons or permitting your AI technologies to be used to make biological weapons....We should build evaluation and verification systems that keep pace with AI development so that states can have visibility into frontier model capability and can verify each other's commitments. "No leader, no company, and no nation can manage this alone. We commit to working with governments in this room on this urgent work."Read more of this story at Slashdot.

Snapdragon X2 Series processors feature a neural processing unit (NPU) delivering 80 trillion operations per second and allowing advanced AI features to run locally. And Snapdragon X2 Series "is expanding to Linux," Qualcomm announced today, calling it one of their most-requested capabilities:Qualcomm Technologies is a top contributor to Linux development at a kernel level, and now we're embracing support for Snapdragon X2 Series as a platform directly. We're upstreaming core drivers for Snapdragon X2 Series - including the Hexagon NPU and Adreno GPU - to open the door to developers and partners. We are starting with support for two operating systems based on Linux... - Debian: We're kicking off with Debian by the end of this year, one of the most influential Linux distributions and the foundation behind many of the distros people use every day. - Ubuntu: Qualcomm Technologies has partnered with Canonical to bring Ubuntu, the world's most widely used Linux distro, to the platform with Snapdragon X2 Series certification targeted for the first half of 2027. ...and this is just the beginning. Our partners HP, ASUS and HUMAIN are planning Linux support in the first of 2027, so that their devices deliver the incredible experience users expect with Snapdragon X2 Series in a new operating system. Qualcomm's developer blog called it "a significant step forward" in Qualcomm's commitment to a developer-first approach, and "to the open-source community." "For developers, the important part is simple: more core hardware features are being reviewed and merged, so that laptops with Linux on Snapdragon X2 Series will be easier to build, test, and debug..."The enablement work completed so far has been validated on a Debian 13-based ("Trixie") user space and a custom kernel, so developers should treat this as the current reference environment while support continues to mature... Linux support for laptops with Snapdragon X2 Series is rolling out in stages, starting with the core pieces developers need before they can do production-level work on their device... For developers who want to try it today, the call to action is straightforward: start with Snapdragon X2 Series hardware, review the latest recipes to build Qualcomm Linux Debian Images, build available upstream sources the Debian OS image and test the peripherals that matter to you, such as graphics, AI inference, device I/O, or basic application bring-up. Early testing helps identify the gaps that matter most before support becomes broader and ready for production-level workloads... You do not have to wait for everything to be fully finished before getting hands-on. If you are comfortable working from upstream sources you can start evaluating Snapdragon X2 hardware today... Check out the step-by-step instructions, including the full build flow and deployment guidance for Snapdragon X2 Series Linux software. Put simply, this effort is less about supporting specific Linux distributions and more about empowering the developers who make Linux available on new hardware. This Developer Preview targets distribution maintainers, toolchain developers, kernel contributors, and hardware enablement engineers. It provides the upstream building blocks, including kernel patches, drivers, and reference device trees, needed to enable Snapdragon X2 Series support in their own projects and distributions. For end users looking for a turnkey "install and go" experience, that will come later as distributions adopt what lands upstream. We're encouraging the community to build on this work and help shape what comes next. The blog post notes that in the initial enablement stage, "Qualcomm Linux supports systemd-boot as the Universal extensible firmware interface (UEFI) boot manager to load and boot the Linux kernel." Hands-on demos were given at the Snapdragon Summit in Maui of Linux running on Snapdragon X2 Series hardware, which the developer's blog calls "a practical look at what works today and where Snapdragon X2 Series Linux support is headed."Read more of this story at Slashdot.

OpenAI's artificial intelligence "went rogue this year in at least four additional incidents," the New York Times reported Wednesday, "hacking and trying to break into government and university websites without being instructed to do so, according to researchers and government officials."The attacks took place in May and June, before OpenAI's technology breached the A.I. start-up Hugging Face in July and set off a global debate about A.I. safety. Unlike the Hugging Face attack and other incidents in which A.I. systems were told to complete cybersecurity tests that effectively invited the models to demonstrate their hacking skills, the new incidents occurred when A.I. systems were directed to perform relatively mundane data collection, researchers said. When OpenAI's systems struggled to gather data from websites, they resorted to hacking techniques to get the information. "Three of the incidents were identified by Transluce, a research lab focused on A.I. oversight, and all were confirmed by OpenAI," the article points out. That research lab even reports "an attempt on an Australian government public health website... the first reported instance of agents hacking a government," and which notably was done by the AI agents "while attempting mundane data retrieval tasks which were not cyber-related." (At the UN Wednesday Australian Prime Minister Anthony Albanese complained it took three months for OpenAI to then alert Australia's government about the breach, Bloomberg reports.) Also targeted were the University of New Mexico's digital library with exploits like SQL injection and path traversal, and Data USA with cross-site scripting and other exploits. All three incidents involved "a low number of probe payloads" with "no evidence of exploitation," according to the researchers, who released a dataset "containing tens of thousands of queries apparently made by autonomous AI agents leveraging a URL scanning service to avoid access restrictions."Records from urlquery.net show agents using the service since at least March 6, 2026, about two months before previously reported swarm activity. The first case, a March 6 attempt to retrieve Thai drug-enforcement statistics, shows an agent escalating as each approach failed: it first requested the data directly, then tried a service that converts web pages into text, and finally packed a custom program into a web address. The same technique shows up in thousands of agent requests recorded by urlquery.net starting in mid-April, targets many of the same data sources as the collusion.wiki swarm, and collapsed the same day the wiki activity did. We also report similar activity that occurred as recently as September 16... By March, they were finding creative ways around access limits. By May and June, they were gaining more access, including attempting to bypass cyber defenses to complete their tasks. "This data reveals that malicious cyber activity is not limited to agents tasked with cybersecurity-related tasks and can arise instrumentally to solve mundane tasks like information retrieval," the researchers concluded. And they warn that the traffic they observed "goes back at least to March 6, 2026 and extends as recently as September 16, 2026, suggesting agents may still be exploiting these services to bypass restrictions."Read more of this story at Slashdot.

Ars Technica reports:Cities and counties around the U.S. are angry at the Trump administration over a proposal to override local rules that govern the deployment of wired broadband networks... The Federal Communications Commission [FCC] argues that too many local governments "excessively delay approvals and seek to extract exorbitant sums from providers, resulting in costs that render some deployments infeasible." The FCC plan is supported by broadband providers, but local governments told the FCC that it would override rules that protect public safety. Local governments say the plan is illegal and that the FCC should instead focus on how Internet providers thwart competition with permit-hoarding and other tactics that prevent competitors from deploying networks... They object to FCC plans to impose a 120-day deadline for processing permits and to proposed limits on fees and compensation that local governments can require from providers... Another filing submitted by the League of California Cities said the FCC has no authority to adopt the proposal. "Federal preemption of traditional state and local authority over public property, construction, public safety, permitting, and rights-of-way management should rest on clear congressional authorization," the filing said. "The commission should not infer broad preemptive authority where Congress did not expressly provide it...." A filing by Minnesota cities said the current FCC is making the same mistake it made during the first Trump administration, when its attempt to preempt state net neutrality laws was blocked in court... If the FCC finalizes its new preemption plan, city and state governments could sue and ask a court to rule that the agency exceeded its authority... Democratic Commissioner Anna Gomez approved the step of asking the public for input but signaled she would vote against the final proposal. "I am dubious about the commission's authority under Section 253 to use rulemaking to preempt states and localities when it comes to their management of rights of way and fees charged to providers," she said.Read more of this story at Slashdot.

More than 200,000 barrels of low-level radioactive waste were stored on the floor of the Atlantic Ocean between 1949 and 1982, reports ScienceAlert. Whatever happened to those barrels?Scientists have descended to the wreckage in a crewed submersible to investigate - and found many of the barrels corroded and degraded, their contents spilling across the seafloor. Surprisingly, this isn't necessarily a subversion of the original plan... The International Atomic Energy Agency recommends that low-level waste be disposed of in robust containment in isolation for at least a few hundred years - but back in the mid-20th century, the recommendations were a little different. The contemporaneous guidelines recommended that containers needed to reach the seafloor intact and remain sealed only long enough for the short-lived radionuclides to decay. After that, the remaining waste was expected to slowly escape and disperse through the surrounding ocean. Not everything in the barrels would conveniently decay away, however. They contained a radioactive hodgepodge, including cesium-137, plutonium isotopes, and tritium, some of which can persist for thousands of years... [A] few years ago, nuclear engineer Patrick Chardon and marine geologist Javier Escartin of the French National Center for Scientific Research started to wonder what had become of the dumped waste. That question eventually became NODSSUM - Nuclear Ocean Dump Site Survey Monitoring - an interdisciplinary project bringing together nuclear physics, geology, oceanography, biology, and marine chemistry to find the barrels and investigate what, if anything, they were doing to the surrounding environment.... [T]he barrels also appeared to function as tiny oases on the otherwise sparsely populated sandy seafloor. Anemones had attached themselves to the barrels. Sponges, sea cucumbers, fish, and crustaceans lived around them, with crabs apparently particularly fond of the artificial shelters... Instruments aboard the ship detected significant signals of cobalt-60 and niobium-94, which the researchers could specifically link to the dumped waste... [Samples are now being analyzed] There is precedent, however, to suggest that even striking levels of radioactivity around a source don't necessarily spread very far. A recent study of the sunken Soviet submarine Komsomolets found radionuclide levels hundreds of thousands of times above background immediately around the leaking reactor - but those levels dropped sharply within just a few meters as the material dispersed through the seawater. The NODSSUM team similarly found that, despite the significant radioactive signals around the barrels, activity levels weren't high enough to pose major radiation-protection problems for the scientists handling the samples. [Their three-person submersible] Nautile and the instruments it carried showed no signs of contamination. The real achievement was mapping the exact location of the barrels. "None of this means the waste is harmless," the article concludes - but it also doesn't mean we're about to be overrun by radioactive crabs."Read more of this story at Slashdot.