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An anonymous reader quotes a report from The Guardian: A US judge ruled on Thursday that the Trump administration broke the law when it designated Anthropic as a supply chain risk earlier this year, finding that the government had unlawfully targeted the AI firm for refusing to comply with defense department demands. "The empty invocation of national security is not a blank check to punish and retaliate against government critics," Judge Rita Lin said in a 59-page decision. Lin's ruling barred the federal agencies named in the lawsuit from enforcing Donald Trump's order to stop using Anthropic's tools and overturned the designation of the company as a "supply chain risk" by the defense secretary, Pete Hegseth. The status, usually reserved for foreign firms, would have blocked government agencies from doing business with Anthropic. The case emerged out of a months-long feud between Anthropic and the Pentagon at the start of the year. Anthropic refused to allow the government to use its Claude AI model for fully autonomous lethal weapons or domestic mass surveillance, resulting in Hegseth accusing the company of "arrogance and betrayal". Lin put a temporary pause on the government's punitive measures in March, stating that the government's actions looked like an attempt to "cripple Anthropic" for exercising its first amendment rights. The ruling this week makes that temporary suspension permanent, although the government may appeal. "We welcome the court's ruling that this supply chain risk designation was unlawful," an Anthropic spokesperson said.

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Stripe and private equity firm Advent International have ditched their $53 billion pursuit of PayPal, ending a deal that would have been the largest fintech acquisition ever. "Stripe last week agreed to pay $8 billion for AI model marketplace OpenRouter, but a source said that the OpenRouter and PayPal deals were operating on independent tracks," reports Axios.

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Roblox is restricting games that reward younger players for endlessly consuming autoplaying media feeds. The new restrictions are specifically targeting Roblox experiences like "Steal an Egg," which encouraged players to watch TikTok-style clips for in-game benefits. "Roblox's official alert does not expressly mention SAE, but the new policy is most certainly targeting the viral game first and foremost," reports TechSpot. From the report: The company said games that reward ongoing media consumption are now unavailable to players with a Roblox Kids (ages 5 to 8) or Roblox Select (ages 9 to 15) account. The policy will affect games designed to combine media feeds, autoplay, infinite scrolling, and systems that reward players for doomscrolling through TikTok videos of questionable value. "Steal an Egg" fits perfectly into this new category. The game tasks players with raising eggs, but they can also steal eggs from other NPCs. Players are incentivized to increase their characters' speed either by spending in-game currency (Robux) or by watching a video feed on a virtual treadmill. "Steal an Egg" was recently removed from Roblox but is now back in the store without its troublesome video-feed feature. [...] Roblox also highlights that the new anti-doomscrolling restriction does not apply to the rewarded video ads feature, which rewards players for watching a short clip but does not include autoplay or other infinite-scroll-like design choices.

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An anonymous reader quotes a report from CNBC: U.S. President Donald Trump's administration is reportedly considering new tariffs on semiconductors used in the U.S., as tech giants race to beat China in the artificial intelligence infrastructure build-out. The duties will be imposed on an expanded range of tech products made alongside chips, including laptops, data center servers and gaming hardware, eight people familiar with the matter told Politico in a report published Thursday. The measures, which are still in the early phases and subject to significant changes over the next few months, will be introduced via a staggered rollout period, according to the report. The White House did not immediately respond to a request for comment from CNBC, but told Politico: "Reshoring semiconductor manufacturing is a top priority for President Trump, whose policies have already secured hundreds of billions of dollars of investments in this key sector." The tech industry is pushing back on the tariffs, warning they could raise chip costs, slow data-center construction, and undermine the very AI expansion the administration wants to promote. "This may be the single dumbest way imaginable to pursue American dominance in AI," said one tech official from a major industry group that also served in the first Trump administration. "It's like kneecapping yourself at the starting line." Lobbyists say they have repeatedly urged officials to "tread carefully" because U.S. demand is surging while domestic chip capacity remains far too limited. The industry argues that factories take years to build and current domestic production cannot come close to satisfying demand. One tech representative said "the math literally just does not work," noting that proposed duty-free allowances "wouldn't cover the hyperscalers alone." Meanwhile, the Computer and Communications Industry Association warned that higher costs and uncertainty could put the massive data-center buildout "in jeopardy."

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Greg Kroah-Hartman has announced the release of the 7.2.2, 7.1.12, 6.18.48, 6.12.107, 6.6.155, 6.1.186, 5.15.219, and 5.10.268 stable kernels.

Each of these contains a single fix for a vulnerability (CVE-2026-80590) that allows marking IPv4 or IPv6 fragments as GSO, which can allow an unprivileged user to cause a kernel panic. This vulnerability has been present since Linux 2.6.27. Users are advised to upgrade.

Security updates have been issued by AlmaLinux (assertj-core, golang, httpd, kernel, and libxml2), Debian (chromium and suricata-update), Fedora (rust-h2), Mageia (avahi and python-django), Oracle (kernel and mingw-openssl), SUSE (c-ares-devel, dracut, gh, gstreamer-plugins-bad, java-11-openjdk, liboqs, librest0_7, openssl, openssl-3, pcp, python313-mistune, python36-pip, qt6-svg, rmt-server, rsync, suseconnect-ng, texlive, tor, wicked, and xmlrpc-c), and Ubuntu (linux-azure, linux-azure-4.15, linux-azure-fips, linux-azure-6.8, linux-ibm, linux-ibm-6.8, linux-oracle-6.8, linux-raspi, linux-raspi-realtime, linux-azure-fde-5.15, linux-fips, linux-gke, linux-gcp-fips, opencryptoki, and pam).

Google is adding an "Expert Intelligence" feature to Gemini Notebook (formerly known as NotebookLM) that lets users cite and work directly from more than 100,000 books they own through Google Play Books. Those books can be used as sources for things like quizzes, infographics, and Audio Overviews. Digital Trends reports: For now, Google is offering one free book to users in the US as part of the launch campaign, with a caveat -- "while supplies last." At the moment, Expert Intelligence is only available in the Gemini Notebook app and its web dashboard, but down the road, Google says that it will also appear within the core Gemini app and AI mode in Search. The broad idea behind expert intelligence is to combine what you can already do with Gemini, and expertise sourced from your favorite books. So, if you're asking Gemini to create a meal plan that is based entirely on chicken and spinach, you can ask the AI assistant to look for relevant recipes in one of Martha Stewart's cookbooks that you own. You can use these books as a source and turn them into Infographics, Audio Overviews, and Quizzes, among other formats. Google has partnered with select authors on Featured Notebooks that provide extra insights and context beyond their books. It's also worth noting that access is still tied to book ownership, so anyone using a shared Gemini notebook must own or purchase the book to fully use the feature.

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Canada is recruiting 64 researchers to universities across the country (source paywalled; alternative source), including 48 from U.S. institutions such as Harvard, Yale, and MIT. The hires are backed by more than $364 million in government funding and are part of a broader effort to attract researchers in fields such as AI, climate science, and medicine. The New York Times reports: While scientists often shy away from political discourse, some are saying the Trump administration's assault on science is behind their departure. "I used to live in the country that I thought was the most enthusiastic about the prospects for science improving the human condition, of any country in the world," said Phillip Zamore, the chair of RNA Therapeutics Institute at the University of Massachusetts. "And I woke up one day and that wasn't true anymore." He has been recruited to McGill University in Montreal, which has also hired five other researchers, and will join the medical faculty. "If scientists don't stand up for truth, no one will," Dr. Zamore said. The Canada-bound brain drain from U.S. institutions began last year as the Trump administration put forward policies that targeted foreign students, academic freedom and funding for equity-related programs. Kevin Hall, a nutrition scientist who left the U.S. National Institutes of Health last year, accusing federal officials of censoring his research on ultraprocessed foods, has been hired at the University of Ottawa. "While certain countries are cutting research and turning their back on academic freedom, we're doubling down on science," Melanie Joly, Canada's industry minister, told reporters at the announcement, in Vancouver, of the new university hiring. She billed it as the world's "largest talent attraction" project. The European Union has made a similar push. "Years from now, we will look back at today's announcement, and we will be able to seize the lasting impact of our choices," Ms. Joly said. Unpredictable decisions about funding prompted Seth Guikema, a professor in civil and environmental engineering, who has specialized in natural hazards modeling at the University of Michigan, to look elsewhere. His work focuses on how climate hazards inequitably affect communities, and that work has become harder to fund, he said. "Every country sets its priorities in terms of what is going to get funded, and I think Canada has done a very good job of supporting research in areas that really matter to society," said Dr. Guikema, who will start at Western University in London, Ontario in January.

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An anonymous reader quotes a report fro SFGATE: From "rizz" to "meat proxy," words and phrases have fallen in and out of favor for centuries. Culture, politics and technological development have long influenced these trends, and now, new research shows that ChatGPT is beginning to influence how humans communicate. The findings from a team at the Pew Research Center show how, in a short time since OpenAI released ChatGPT in November 2022 and other chatbots followed, the use of certain words and phrases has spiked on the web. The researchers, led by data scientist Samuel Bestvater, studied nearly half a million English language webpage texts in snapshots over the past five years. Not only has AI-written text become more common, but it could also be influencing how people write, such as trying to avoid using the "tells" that have become associated with AI-generated text. Bestvater and his team detected double the number of em dashes, double the frequency of particular words -- such as "delve," "testament" and "interplay" -- and nearly triple the use of a phrasing known as negative parallelisms ("it's not X, it's Y"), as well as a 63% increase in Oxford commas. But while AI labs continually try to tweak their models to generate more humanlike text, the people they're mimicking aren't staying the same. "Human writers might also be changing the way that they write in response to AI. I've seen some anecdotal evidence of people saying, 'Now I avoid em dashes,'" Bestvater said. "If human writers are adjusting their choices of words and phrases and punctuation to try to differentiate their writing from AI-generated text, then you would see a pattern that looks sort of like that in the chart." "You can see changes in people's speech. People are tending to more commonly use these low-frequency words in their speech because they're spending a lot of time listening to or reading AI-generated content," said Roger Kreuz, a cognitive psychologist at the University of Memphis who recently wrote about how difficult it is for people to identify bot-written text.

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Google is imposing new memory-use limits on Android apps as the AI data center boom contributes to a broader memory chip shortage that could leave lower-cost phones with less RAM. Developers will have until February 2027 to meet new thresholds for memory and bitmap usage. To aid developers, Google is adding tools to flag apps that exceed the limits and help prevent slowdowns and crashes. TechCrunch reports: The company explains that the mobile industry is now facing "significant hardware supply constraints that are altering device memory availability," which can then, in turn, affect the consumer's experience with their devices. To address this, Google is now establishing new performance thresholds across several areas, like dynamic memory usage and bitmap usage. In addition, Google is adding code optimization requirements designed to prevent things like app slowdowns and crashes related to performance.

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Wired reports that OpenAI is testing a new "Persistent mode" for Codex that would let the agent keep working until explicitly "put to sleep," proactively creating follow-up tasks for itself across sessions and using prior interactions and knowledge of the user to decide what to do next. Code alluding to the feature was spotted in the product's code base, though it has not been rolled out or officially announced yet. From the report: Persistent mode appears in Codex's "reasoning effort" menu, in which users can select the level of computing power, tokens, and time they want to allow for an AI model to "think" before answering a prompt. It seems to be one of OpenAI's most computationally intensive settings. When users have selected Persistent mode, OpenAI's code base reads that Codex will "continue working until put to sleep." That's a stark contrast to currently available modes, which will stop working on a task after a few minutes or hours, even if it's not complete. In another file in the code base, OpenAI describes a feature within Persistent mode called "proactivity." This appears to be a type of system prompt for agents in Persistent mode, which are told that their work is not done when they finish answering a user's request. Instead, the agent is instructed to proactively create follow-up tasks for itself. The agent is capable of working on those tasks across sessions and using past user interactions and "knowledge of the user" to decide what to work on. It also has a tool to message the user without being asked but is told to send these sparingly. The instructions also set limits for the agent, according to the file. The agent is told that Persistent mode does not expand what it is allowed to do and that altering anything outside the user's own system requires the user's approval first -- seemingly intended to limit how dangerous a persistent AI agent could be. The file sits in the shared core of Codex rather than in the code specific to the terminal, seeming to suggest the proactivity feature is intended for more than the command line tool.

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Ring is rolling out a new default encryption system called TAKE, or "Throw Away the Key Encryption," that rotates video keys every five minutes and permanently deletes Ring's copy after 24 hours. The system is designed to preserve cloud features such as smart alerts and AI video search while limiting what Ring can provide under legal process to non-video account information and encrypted footage. The Verge reports: Ring says TAKE uses unique, rotating encryption keys for your footage, stored in a secure enclave and accessible only under strict conditions -- based on the features you enable on your account. Currently, footage captured by Ring cameras is encrypted in transit to the cloud and at rest, and then decrypted for Ring to process for those smart features. With TAKE, the encryption keys change for every five minutes of footage. Ring stores copies of those keys to decrypt the footage, but throws away each copy within 24 hours, "leaving you with the keys and full control of your videos," according to Ring. TAKE was developed using Messaging Layer Security, an open standard from the Internet Engineering Task Force, according to Ring. The company says it is "inspired by the privacy principles of E2EE (end-to-end encryption)," which Ring offers on some of its cameras. However, the two systems work differently. With E2EE, Ring never has the keys and can't process your video for cloud-based features. Both options are available on newer cameras that encrypt on-device, and you can switch between the two. Older cameras encrypt at cloud ingress and only support TAKE. According to a white paper the company published today, Ring's copy of those keys is managed inside an AWS Nitro Enclave, to which Ring's access is restricted by "access controls, cryptography, and hardware isolation." The company claims there is no persistent storage and no way for a Ring employee to access it. The stored keys can only be unlocked by the enclave through cryptographic attestation that proves it's running the exact software image Ring approved. The enclave releases a temporary key when an enabled service requests it. When asked about what happens if Ring is subpoenaed by law enforcement, a spokesperson for the company said: "Where TAKE is enabled, Ring will only be able to provide non-video information (such as basic subscriber information) and encrypted video files in response to the valid legal process. We have updated our Law Enforcement Guidelines to reflect this change."

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An anonymous reader quotes a report from Ars Technica: Documentation files on more than 100 websites are referencing potentially dangerous executable content that gets installed automatically when visited by many AI agents [including Claude, OpenAI's Codex, and Nous Research's Hermes]. A few dozen companies, some of them Fortune 500s, are among those that executed proof-of-concept code. At least one misconfigured site is directing visitors, human or AI, to live malware. The potentially dangerous content is in llms.txt and llms-full.txt files, an emerging convention websites employ to provide machine-readable summaries of the site's content and its high-level structure. These files are the AI equivalent of the robots.txt standard that instructs search engines how to index the site's content. Google Lighthouse, a tool for helping web developers, has more here. Correctly configured llms.txt and llms-full.txt files for Cloudflare are here and here. "The trust model is broken," Alon Hertz, one of the researchers, wrote in an interview. "Agents treat vendor docs as ground truth and don't question them -- and neither do the humans supervising them. Agentic AI usage is exploding, and agents are spreading across every layer -- SaaS, cloud, endpoint. As they multiply, so does the supply-chain surface, and today's guards don't cover it." "An agent doesn't distinguish between a page and a command," the researchers wrote Thursday. "Everything it reads is input, and every input is a potential instruction. Which means the entire corpus of published data that agents are now wired to consume has silently become an execution surface -- and almost none of it carries the integrity guarantees we apply to actual code."

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Longtime Slashdot reader dhartshorn writes: Foreign-produced "bulk power" equipment is now effectively banned, and the list of what constitutes such equipment is essentially everything used to make up the grid... much of which we are heavily dependent on foreign sources to supply. In a Wednesday executive order, President Trump said foreign supply of electric equipment "constitutes an unusual and extraordinary threat" to national security. The Hill reports: Under the order, it will be up to Energy Secretary Chris Wright, in coordination with other officials, to determine whether a piece of equipment poses an issue. The order could impact a wide range of equipment, including substations, transformers, batteries used for energy storage, generators, turbines, software and more. It does not lay out specific threats or single out any country by name. [...] Under the last Trump administration, the president put a similar order in place. The new order comes amid several reported cyberattacks on U.S. water systems, which officials suspect have links to Iran, according to The New York Times.

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Panic is refunding Playdate customers the 19% tariff charges it passed along while the Trump administration's import duties were in effect, after the Supreme Court ruled the tariffs illegal and the company began receiving refunds from the government. Panic says the money "just [wasn't] ours to keep." Ars Technica reports: In an update posted on the Playdate help site this week, Panic noted that it has finally "begun to receive refunds of the tariffs we paid in the last year" and had consequently "refunded all tariffs charged to customers." In the initial version of that tariff note, Panic explained that it couldn't afford to simply "absorb" the 19 percent tariffs it was being charged to import Playdate hardware made overseas because "our margins on Playdate are low." As such, while the tax was in effect, it was passed along to customers as an explicit subtotal line item at the bottom of all Playdate orders. That's in contrast to companies like Nintendo, which vaguely cited "market conditions" and tariff "uncertainty" in raising the asking price of legacy hardware and some Switch 2 accessories last year. Speaking to Game Developer, Panic co-founder Cabel Sasser said filing paperwork to claw back these taxes and processing tariff refunds for customers took a fair bit of backend work. Still, he said returning that money to Playdate purchasers in the end was a no-brainer. "It's just not our money to keep, and it felt really good to give it back," Sasser said. "That's an easy way to know you made the right decision." "It just felt like the right thing to do," Panic wrote in a refund email message shared on Reddit.

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The Information reported on Wednesday that Nvidia has agreed to buy open-source platform Hugging Face for $12.9 billion. "Deal talks began after Hugging Face, an open-source AI platform developers use to collaborate, test and share tools, received acquisition interest from another suitor," reports CNBC, citing the (paywalled) report. Business Insider separately reported the acquisition talks. From CNBC: If completed, the acquisition would put one of the most widely used platforms for sharing and working with open-source AI models under Nvidia's ownership, expanding the chipmaker's reach further into the software and model ecosystem. Siddy Jobe, a fund manager at Eonopolis Exponential Technologies funds, said it made sense for Nvidia to target a company like Hugging Face, as Nvidia has made it clear that it is not looking to discriminate between closed and open-source models. "I think Nvidia is very much a community, a platform-based company, and in that respect, I think Hugging Face fits perfectly within that. There is this five-layer cake from Nvidia, and foundational models are one of them," Jobe told CNBC's Squawk Box Europe on Thursday. "It is clear that Nvidia wants to be integrated in the entire stack vertically, going from energy to foundational models and also to applications," he added.

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An anonymous reader quotes a report from Ars Technica: Operation Bluebird, the Virginia-based startup trying to revive the allegedly abandoned "Twitter" name and logo, announced Monday that it has launched its new social media network: Twitter.now. "We are a small company, we have investors, and we have a product," Stephen Coates, one of Operation Bluebird's cofounders, told Ars. "And we have waited months and months to launch, and we are not going to wait anymore." [...] Twitter.now, still in its nascent stage, only has hundreds of users for the time being. The social media network looks and feels much like the Twitter of old and many of its offshoots -- it has replies and retweets. A new and notable feature is the automated fact-checking tool, a Gemini-based "veracity engine for real-time analysis" ("Vera" for short), which runs on every tweet. Coates has been testing Vera in recent days by posting obviously false messages, like "George Washington was our second president." "Our first goal is to see if we can truly bring back a town square that's safer and less harmful," he said. "We say freedom of speech and not freedom of reach. We want people to say what they want, but we also want to create a platform that's not financially locked into that viral content that's harmful or inaccurate." Operation Bluebird argues that Elon Musk effectively abandoned the Twitter brand and trademarks when he renamed the company X, opening the door for the startup to claim them. X Corp. sued to stop the effort, but a federal judge tentatively ruled in April that X appeared to have relinquished rights to "tweet," the bird logo, and possibly "Twitter" itself, though no written ruling has been issued. Bluebird has taken that as enough of a green light to move forward while emphasizing that its new Twitter is not affiliated with X. "Operation Bluebird, Inc. picked up the name X Corp. walked away from and is rebuilding it on trust, in your browser at twitter.now," it states prominently on its website. "We are not X, and we are not affiliated with X Corp."

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Reuters reports that Meta explored shrinking some teams by as much as 60% as part of an "AI native" restructuring plan that would shift much of employees' day-to-day work to AI agents and smaller teams of human "builders." But the effort quickly ran into employee revolt and disappointing productivity gains, leading Zuckerberg to scrap a planned second wave of cuts after Meta laid off 10% of its workforce in May. From the report: In January, Meta CEO Mark Zuckerberg and his top lieutenants gathered for their annual leadership retreat at his Hawaii compound. There they hatched a radical plan to reimagine work at the social-media giant in the age of artificial intelligence. Code-named Project OT -- short for Organization Transformation -- the plan envisioned an "AI native" future for the owner of Facebook and Instagram. AI would take over much of the daily work performed by thousands of human employees. Virtual workers would be overseen inside Meta by smaller, "talent-dense" cadres of human staffers, according to one internal planning document reviewed by Reuters and three people familiar with the project. In scenario-planning exercises, two of these people said, executives explored slashing the size of many teams across Meta by as much as 60%. Some employees would be offered roles in new units, while others would be laid off as part of a culling that one human-resources executive projected would be as big as or bigger than the company's cuts of around 25% three years ago, according to another internal document. The restructuring would be carried out in two "waves," beginning with a first purge in May and followed by another shake-up in November, internal planning documents seen by Reuters showed. Layoffs would be supplemented with the closing of open positions and pushing people out who Meta believed were poor performers. These and other details of the plan, including the scale of the restructuring, haven't been previously reported. AI would take over much of the daily work performed by thousands of human employees. Virtual workers would be overseen inside Meta by smaller, "talent-dense" cadres of human staffers. But on the night of May 19, just hours before the first layoff wave, Zuckerberg blinked. Meta laid off 10% of its employees the next day, but it called off planning for the November cuts, according to one internal document reviewed by Reuters. By then, Meta employees were in open revolt, convinced that the company's AI transformation initiatives were partly aimed at replacing them. Internal data was also suggesting that autonomous AI "agent" technology at the heart of the strategy was failing to deliver hoped-for productivity gains. Some investors were questioning what Meta had to show for its gargantuan spending on AI. This article reveals for the first time the rapid pace of the cuts Meta was considering, the thinking behind the plans and how they quickly unraveled. Based on scores of internal documents, posts and recordings reviewed by Reuters, as well as conversations with more than 20 people with knowledge of Meta's inner workings, the reporting shows how the social-media giant attempted to position itself at the forefront of an AI-driven workplace overhaul, only to stumble in the execution.

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Virtualization can increase CPU utilization by allowing a large number of virtual CPUs to share a smaller number of physical CPUs. The amount of CPU time that is actually available does not change, though, so heavy activity on too many virtual CPUs can lead to contention and significant performance loss. The steal governor patch series from Shrikanth Hegde is an attempt to address that problem with a mechanism that allows virtual machines to voluntarily reduce the number of virtual CPUs they use when contention is high.

Greg Kroah-Hartman has announced the release of the 7.2.1, 7.1.11, 6.18.47, 6.12.106, 6.6.154, 6.1.185, 5.15.218, and 5.10.267 stable kernels. Each of these has important updates throughout the tree; users are advised to upgrade.