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An anonymous reader quotes a report from the Financial Times (via Ars Technica): Amazon employees are using an internal AI tool to automate non-essential tasks in a bid to show managers they are using the technology more frequently. The Seattle-based group has started to widely deploy its in-house "MeshClaw" product in recent weeks, allowing employees to create AI agents that can connect to workplace software and carry out tasks on a user's behalf, according to three people familiar with the matter. Some employees said colleagues were using the software to automate additional, unnecessary AI activity to increase their consumption of tokens -- units of data processed by models. They said the move reflected pressure to adopt the technology after Amazon introduced targets for more than 80 percent of developers to use AI each week, and earlier this year began tracking AI token consumption on internal leader boards. "There is just so much pressure to use these tools," one Amazon employee told the FT. "Some people are just using MeshClaw to maximize their token usage." Amazon has told employees that the AI token statistics would not be used in performance evaluations. But several staff members said they believed managers were monitoring the data. "Managers are looking at it," said another current employee. "When they track usage it creates perverse incentives and some people are very competitive about it."

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Google is teasing a new line of "Googlebook" laptops for this fall, powered by a new Android-and-ChromeOS-derived operating system that will run Chrome, Android apps, phone-connected apps and files, and deeply integrated Gemini features. The company says Chromebooks will continue "after the launch of Googlebook" and "...all Chromebooks will continue to receive support through their device's existing date commitment." The Verge reports: "We'll have more to share on the exact OS branding later this year," Peter Du of Google's global communications team tells The Verge. [...] Googlebooks will have a Magic Pointer feature that offers contextual suggestions whenever you shake your cursor and point it at something on the screen. Google's examples include setting up a meeting by pointing at a date in an email or selecting images of furniture and a living space to visualize them together. Beyond your mouse pointer, Googlebooks will also feature the custom AI-created widgets that Google is also debuting today for Android phones and Wear OS smartwatches. I don't know what kind of horrors people will be able to make into widgets, but Google gives the example of making one to organize your flights, hotel information, restaurant reservations, and another for creating a countdown timer for an upcoming family reunion. (It's always flights, hotels, and restaurants, isn't it?) While there are many outstanding questions to be answered about Googlebooks, the biggest and most obvious ones are what will these laptops look like, what chips will be in them, and what will they cost? We've got none of that so far. Google only has some initial renders of a mysterious Googlebook and the promise that it's working with Acer, Asus, Dell, HP, and Lenovo to make the first models. There are no model names. No specs. Nada. Google isn't even saying if the laptop in its renders is made by a partner or a tease of some first-party Pixel-like Googlebook to come or is just a cool mockup. The one distinct hardware feature shown, the bar of glowing Google-colored light, will be a signature of all Googlebooks. (Sure, bring on the RGB. Why not?)

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Microsoft and G42's planned $1 billion AI data center in Kenya has stalled amid disagreements over power commitments, with President William Ruto saying the country would need to "switch off half the country" to support the project at full scale. Tom's Hardware reports: The project, announced in May 2024 during Ruto's visit to Washington, was supposed to bring a geothermal-powered data center to the Olkaria region in Kenya's Rift Valley. G42 was to lead construction, with the facility running Microsoft Azure in a new East Africa cloud region. The first phase targeted 100 megawatts of capacity and was expected to be operational by this year, with a long-term goal of scaling to 1 gigawatt. President Ruto isn't exaggerating about shutting off half the country's power. Kenya's total installed electricity capacity sits between 3,000 and 3,200 megawatts, and peak demand reached a record 2,444 megawatts in January, according to data from KenGen, the country's government-owned electricity producer. The full 1 gigawatt build would therefore have consumed roughly a third of the country's total capacity, and even the first 100 megawatts would have required a significant share of the Olkaria geothermal complex's output, which currently generates around 950MW across all its plants. John Tanui, principal secretary at Kenya's Ministry of Information, told Bloomberg that the project hasn't been withdrawn and that talks are continuing, adding that the "scale of the data center they [Microsoft] wanted to do still requires some structuring." A separate 60-megawatt project with local developer EcoCloud is also still under discussion. [...] Microsoft is spending $190 billion on capex in 2026, and the company adds approximately 1 gigawatt of data center capacity every three months globally. But power constraints are proving to be a universal bottleneck: nearly half of planned U.S. data center builds this year have been delayed or canceled due to shortages of electrical infrastructure.

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The EU plans to target "addictive design" features on TikTok, Instagram, and other platforms, including endless scrolling, autoplay, push notifications, and recommendation loops that can steer children toward harmful content. European Commission President Ursula von der Leyen said new regulation could arrive later this year, alongside an EU age-verification app meant to make child-safety rules easier to enforce. CNBC reports: "We are taking action against TikTok and its addictive design -- endless scrolling, autoplay, and push notifications. The same applies to Meta, because we believe Instagram and Facebook are failing to enforce their own minimum age of 13," Von der Leyen said. "We are investigating platforms that allow children to go down 'rabbit holes' of harmful content -- such as videos that promote eating disorders or self-harm," she added. The EU's executive arm has also developed its own age verification app, which has the "highest privacy standards in the world," according to Von der Leyen. Member states will soon be able to integrate it into their digital wallets, and it can easily be enforced by online platforms. "No more excuses -- the technology for age-verification is available," the EU chief said. The EU Commission could have a legal proposal prepared as soon as the summer, as it awaits the advice and findings of its 'Special Panel of experts on Child Safety Online.'

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An anonymous reader quotes a report from Reuters: EBay on Tuesday rejected a $56 billion takeover bid from the much smaller GameStop over financing doubts, calling the proposal "neither credible nor attractive." EBay, which has roughly four times GameStop's market value, also underscored that its turnaround efforts under CEO Jamie Iannone have boosted growth, with its stock returning 201% since Iannone took the position six years ago. "We have concluded that your proposal is neither credible nor attractive," eBay Chairman Paul Pressler said in a statement. "eBay's Board is confident the company, under its current management team, is well-positioned to continue to drive sustainable growth." He also pointed to concerns with GameStop's bid, including its financing, its impact on eBay's long-term growth and the leadership structure of a potentially combined company. Last week, GameStop's CEO Ryan Cohen delivered one of the most memorable CNBC interviews in recent memory... initially disinterested, then increasingly hostile, with little eye contact, few real answers to basic questions, and repeated robotic deflections to "check the website." It's worth a watch if you have a few extra minutes.

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The FCC has softened its ban on foreign-made consumer routers, allowing vendors to keep issuing broader software and firmware updates for devices already in use in the U.S. through at least January 2029. Dark Reading reports: Under the original FCC ruling, foreign manufacturers were permitted to provide only limited maintenance and security patches to US customers through March 2027. In a public note (PDF) on May 8, the FCC extended that deadline to at least January 2029 and also expanded the scope of permissible updates. The FCC will now allow foreign manufacturers to provide not just minor security fixes and changes, but also more major software and firmware updates that could affect router functionality, which previously required additional FCC review. The agency described the revisions as intended to ensure the continued safety of already deployed foreign-made consumer routers in the US. "The FCC likely issued this revision in response to the operational realities of network security and the slow pace of equipment replacement," says Jason Soroko, senior fellow at Sectigo. "Replacing millions of embedded devices across national infrastructure requires immense time and capital, and abandoning existing systems to a completely unpatched state would create an immediate vulnerability." "This waiver significantly alleviates the most pressing fears tied to the initial ban by preventing a sudden and dangerous security vacuum," added Soroko.

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Researchers at Columbia demonstrated the first real-time brain-controlled hearing system that can identify which speaker a listener is focusing on in a noisy environment and automatically amplify that voice while suppressing others. "This breakthrough addresses the 'cocktail party effect,' a major limitation of conventional hearing aids, which often struggle to distinguish between overlapping conversations in noisy settings," reports Neuroscience News. From the report: In the new study, Columbia researchers teamed up with surgeons and their epilepsy patients who were undergoing brain surgery to better pinpoint the sources of their seizures. The hospital patients, who volunteered to be part of this study, already had electrodes implanted in their brains. [senior author Nima Mesgarani's] system used the electrodes to measure the brain activity of the patients as they focused on one of two overlapping conversations played simultaneously. The system then automatically detected which conversation a patient was paying attention to and adjusted the volume in real time, turning up that conversation while quieting the other. For one volunteer, the experience of controlling the system with her brain was literally unbelievable. She accused the researchers of secretly adjusting the volumes. Others told stories about friends and family with hearing impairments who could benefit from such a technology. One person said: "It seems like science fiction." [...] The scientists developed real-time machine-learning algorithms that could examine the brainwaves and identify which conversation the patients were paying attention to. Once deployed, their system could rapidly deduce which conversation each listener was paying attention to and make it easier for them to hear it. This happened both when the researchers guided the subjects toward a particular conversation, and when the subjects chose freely, as would be necessary in a real-world conversation. "For this to work in real time, the system has to be very fast, accurate and stable for the experience to feel pleasant for the listener," Dr. Mesgarani said. The scientists found their new system correctly identified which conversation the volunteers paid attention to. This dramatically improved the intelligibility of the speech the volunteers focused on, reduced listening effort, and was consistently preferred by the volunteers when compared to conversations the system did not provide assistance with. One volunteer recalled her uncle, who had hearing problems. "Can you imagine if this technology existed in a world [where] ... he could access it? He might actually live a much more peaceful... life." The research has been published in Nature Neuroscience.

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An anonymous reader quotes a report from the Guardian: Singing, painting or visiting a gallery or museum helps people age more slowly, according to the latest study to link taking an active interest in art and culture with improved health. The findings are the first to show that both participating in arts activities and attending events, such as viewing an exhibition, lead to people staying biologically younger. "These results demonstrate the health impact of the arts at a biological level. They provide evidence for arts and cultural engagement to be recognized as a health-promoting behavior in a similar way to exercise," said Prof Daisy Fancourt, the lead author of the research and the head of the social biobehavioral research group at University College London. However, slower aging does not necessarily mean someone will live longer. The "epigenetic clocks" used in the study to assess biological ageing are predictive of future morbidity and mortality, and previous studies have suggested a link between arts engagement and longer lifespan, but much more research would be needed to establish potential causal effects on longevity. Those who take part in artistic pursuits the most often slow the pace of their biological aging the most. Under one of the study's methods of assessment, those who did so at least weekly slowed their aging process by 4%, while monthly engagement led to it slowing by 3%. Similarly, another of the tests showed that those who undertook an arts activity at least once a week were on average a year younger biologically than those who rarely engaged in such pursuits. Those who exercised once a week were only six months younger by that measure. The benefit the arts confer on the pace at which people age is so dramatic that it is comparable to the difference between smokers and those who have given up smoking, the researchers say. The results, published in the journal Innovation in Aging, are based on blood test and survey response data from 3,556 adults taking part in the UK Household Longitudinal Study. It uses blood samples to estimate people's biological age and the pace at which they are ageing.

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The Musk v. Altman trial entered its third week Monday, with Microsoft CEO Satya Nadella and former OpenAI co-founder and renowned AI researcher Ilya Sutskever taking the stand. Nadella testified that Elon Musk never raised concerns to him that Microsoft's investments in OpenAI violated any special commitments, and said he viewed the partnership as clearly commercial from the start. He also described OpenAI's 2023 board crisis as "amateur city." Meanwhile, Sutskever testified that he had raised concerns about Sam Altman because he feared OpenAI could be "destroyed." He expressed concerns about Altman's behavior to the board, in part because he said he felt "a great deal of ownership" over the startup. "I simply cared for it, and I didn't want it to be destroyed," Sutskever said. CNBC reports: Nadella said he was "very proud" that Microsoft took the risk to invest in OpenAI when "no one else was willing" to bet on the fledgling lab. Musk, who testified late last month, said Microsoft's $10 billion investment was the key tipping point that made him believe OpenAI was violating its nonprofit mission. He testified that the scale of the investment bothered him, and it prompted him to open a legal investigation into OpenAI. "I was concerned they were really trying to steal the charity," Musk said from the stand. Nadella said he did not believe Microsoft's investments in OpenAI were donations, and that there was a clear commercial element to their partnership from the outset. He said during the partnership's early years, Microsoft gave OpenAI sharp discounts on computing resources, and Microsoft believed it would reap marketing benefits from doing so. During a separate video deposition that was played on Monday morning, Michael Wetter, a corporate development executive at Microsoft, said the company has recognized approximately $9.5 billion in revenue to date through its partnership with OpenAI as of March 2025. [...] Nadella said he was "pretty surprised" by the board's decision [to fire Altman in November 2023], and that his priority was to try and figure out how to maintain continuity for Microsoft customers. Immediately after Altman was removed, Nadella said he made an effort to learn more about what happened, adding that he suspected jealousy and poor communication was at play. During conversations with OpenAI board members after the firing, Nadella said he was simply trying to understand the language in the OpenAI's statement about Altman being "not consistently candid" while communicating with the board. That language, Nadella said, "just didn't sort of suffice, because this is the CEO of a company that we are invested in and we're deeply partnered with, and so I felt that they could have explained to me what are the incidents or what is the detail behind it." There must have been instances of jealousy or miscommunication that could have justified pushing out Altman, Nadella said. He wanted more depth from the board members after the remark about candor, but no such information was available, he said. "It was sort of amateur city, as far as I'm concerned," Nadella testified. [...] Musk testified that he is not entirely against OpenAI having a for-profit unit, but he said it became "the tail wagging the dog." He repeatedly accused Altman and Brockman of enriching themselves from a charity while also reaping the positive associations that come from running a nonprofit. "Microsoft has their own motivations, and that would be different from the motivations of the charity," Musk said from the stand. "All due respect to Microsoft, do you really want Microsoft controlling digital superintelligence?" During a videotaped deposition shown in court last week, former OpenAI director Tasha McCauley recalled a discussion with Nadella and her fellow board members after the 2023 decision to dismiss Altman as OpenAI's CEO. "To the best of my recollection, Satya wanted to restore things to as they had been," McCauley said. The board members didn't think that was the right move, she said. But as a court witness on Monday, Nadella said he never demanded that the board reinstate Altman as OpenAI CEO. Recap: Sam Altman Had a Bad Day In Court (Day Eight) Sam Altman's Management Style Comes Under the Microscope At OpenAI Trial (Day Seven) Brockman Rebuts Musk's Take On Startup's History, Recounts Secret Work For Tesla (Day Six) OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five) Musk Concludes Testimony At OpenAI Trial (Day Four) Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three) Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two) Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)

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A Georgia data center developed by QTS used nearly 30 million gallons of water through two unaccounted-for connections before residents complained about low water pressure and the county utility discovered the issue. "All told, the developer, Quality Technology Services, owed nearly $150,000 for using more than 29 million gallons of unaccounted-for water," reports Politico. "That is equivalent to 44 Olympic-size swimming pools and far exceeds the peak limit agreed to during the data center planning process." From the report: The details were revealed in a May 15, 2025 letter from the Fayette County water system to Quality Technology Services, which outlined the retroactive charge of $147,474. The letter did not specify how many months the unpaid bill covered, but when asked about it Wednesday, Vanessa Tigert, the Fayette County water system director, said it was likely about four months. A QTS spokesperson said the timeframe was 9-15 months. Once the data center was notified, it paid all retroactive charges, a QTS spokesperson said in an email, noting the unmetered water consumption occurred while the county converted its system to smart meters. The Fayette County water system confirmed the data center's meters are now fully integrated and tracked. Tigert, the water system director, blamed the issue on a procedural mix-up. "Fayette County is a suburb, it's mostly residential, and we don't have much commercial meters in our system anyway," she said. "And so we didn't realize our connection point wasn't working." The incident became public last week when a county resident obtained the 2025 letter to QTS through a public records request and posted it on Facebook, prompting outrage from residents concerned about the data center's water consumption. [...] Tigert, who sent the 2025 letter to QTS, said the utility didn't know about the water hookups because the connection process "got mixed up" as the county transitioned to a cloud-based system while also trying to accommodate an industrial customer. Tigert also said her staff is small and at capacity. "Just like any water system, we don't have enough staff. We can't keep staff," she said. "I've got one person that's doing inspections and plan review, and so he's spread pretty thin." She said it's possible her staff did know about hookups but that she hadn't been able to locate the inspection report. "I may have hit 'send' too soon," she said about the 2025 letter to QTS. While the utility charged the data center a higher construction rate for the unapproved water consumption, Tigert confirmed the utility did not penalize or fine the data center. For what it's worth, the Blackstone-owned company says its data centers use a closed-loop cooling system that does not consume water for cooling. The reason for last year's high water use, according to QTS, was the temporary construction work such as concrete, dust control, and site preparation. Once the campus is fully operational, it should only use a small amount of water for things like bathrooms and kitchens. But that point could still be years away, as construction and expansion in Fayetteville may continue for another three to five years.

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Digg is relaunching again, this time as an AI-focused news aggregator rather than the Reddit-style community site it recently abandoned. TechCrunch reports: On Friday evening, the founder previewed a link to the newly redesigned Digg, which now looks nothing like a Reddit clone and more like the news aggregator it once was. This time around, the site is focused on ranking news -- specifically, AI news to start. In an email to beta testers, the company said the site's goal is to "track the most influential voices in a space" and to surface the news that's actually worth "paying attention to." AI is the area it's testing this idea with, but if successful, Digg will expand to include other topics. The email warned that the site was still raw and "buggy," and was designed more to give users a first look than to serve as its public debut. On the current homepage, Digg showcases four main stories at the top: the most viewed story, a story seeing rising discussion, the fastest-climbing story, and one "In case you missed it" headline. Below that is a ranked list of top stories for the day, complete with engagement metrics like views, comments, likes, and saves. But the twist is that these metrics aren't the ones generated on Digg itself. Instead, Digg is ingesting content from X in real-time to determine what's being discussed, while also performing sentiment analysis, clustering, and signal detection to determine what matters most. [...] The site also ranks the top 1,000 people involved in AI, as well as the top companies and the top politicians focused on AI issues.

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Nvidia's real AI moat isn't "a piece of hardware," writes Wired's Sheon Han. It's CUDA: a mature, deeply optimized software ecosystem that keeps machine-learning workloads tied to Nvidia GPUs. An anonymous reader quotes a report from Wired: What sounds like a chemical compound banned by the FDA may be the one true moat in AI. CUDA technically stands for Compute Unified Device Architecture, but much like laser or scuba, no one bothers to expand the acronym; we just say "KOO-duh." So what is this all-important treasure good for? If forced to give a one-word answer: parallelization. Here's a simple example. Let's say we task a machine with filling out a 9x9 multiplication table. Using a computer with a single core, all 81 operations are executed dutifully one by one. But a GPU with nine cores can assign tasks so that each core takes a different column -- one from 1x1 to 1x9, another from 2x1 to 2x9, and so on -- for a ninefold speed gain. Modern GPUs can be even cleverer. For example, if programmed to recognize commutativity -- 7x9 = 9x7 -- they can avoid duplicate work, reducing 81 operations to 45, nearly halving the workload. When a single training run costs a hundred million dollars, every optimization counts. Nvidia's GPUs were originally built to render graphics for video games. In the early 2000s, a Stanford PhD student named Ian Buck, who first got into GPUs as a gamer, realized their architecture could be repurposed for general high-performance computing. He created a programming language called Brook, was hired by Nvidia, and, with John Nickolls, led the development of CUDA. If AI ushers in the age of a permanent white-collar underclass and autonomous weapons, just know that it would all be because someone somewhere playing Doom thought a demon's scrotum should jiggle at 60 frames per second. CUDA is not a programming language in itself but a "platform." I use that weasel word because, not unlike how The New York Times is a newspaper that's also a gaming company, CUDA has, over the years, become a nested bundle of software libraries for AI. Each function shaves nanoseconds off single mathematical operations -- added up, they make GPUs, in industry parlance, go brrr. A modern graphics card is not just a circuit board crammed with chips and memory and fans. It's an elaborate confection of cache hierarchies and specialized units called "tensor cores" and "streaming multiprocessors." In that sense, what chip companies sell is like a professional kitchen, and more cores are akin to more grilling stations. But even a kitchen with 30 grilling stations won't run any faster without a capable head chef deftly assigning tasks -- as CUDA does for GPU cores. To extend the metaphor, hand-tuned CUDA libraries optimized for one matrix operation are the equivalent of kitchen tools designed for a single job and nothing more -- a cherry pitter, a shrimp deveiner -- which are indulgences for home cooks but not if you have 10,000 shrimp guts to yank out. Which brings us back to DeepSeek. Its engineers went below this already deep layer of abstraction to work directly in PTX, a kind of assembly language for Nvidia GPUs. Let's say the task is peeling garlic. An unoptimized GPU would go: "Peel the skin with your fingernails." CUDA can instruct: "Smash the clove with the flat of a knife." PTX lets you dictate every sub-instruction: "Lift the blade 2.35 inches above the cutting board, make it parallel to the clove's equator, and strike downward with your palm at a force of 36.2 newtons." "You can begin to see why CUDA is so valuable to Nvidia -- and so hard for anyone else to touch," writes Han. "Tuning GPU performance is a gnarly problem. You can't just conscript some tender-footed undergrad on Market Street, hand them a Claude Max plan, and expect them to hack GPU kernels. Writing at this level is a grindsome enterprise -- unless you're a cracker-jack programmer at DeepSeek..." Han goes on to argue that rivals like AMD and Intel offer competitive specs on paper, but their software stacks have struggled with bugs, compatibility issues, and weak adoption. As a result, Nvidia has built an Apple-like moat around AI computing, leaving the industry dependent on its expensive hardware.

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cURL creator Daniel Stenberg says Anthropic's hyped Mythos bug-hunting model found only one confirmed low-severity vulnerability in cURL, plus a few non-security bugs, after he expected a much longer list. He argues Mythos may be useful, but not meaningfully beyond other modern AI code-analysis tools. "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing," Stenberg said a blog post. "I see no evidence that this setup finds issues to any particular higher or more advanced degree than the other tools have done before Mythos." He went on to call Mythos "an amazingly successful marketing stunt for sure." The Register reports: Stenberg explained in a Monday blog post that he was promised access to Anthropic's Mythos model - sort of - through the AI biz's Project Glasswing program. Part of Glasswing involves giving high-profile open source projects access via the Linux Foundation, but while Stenberg signed up to try Mythos, he said he never actually received direct access to the model. Instead, someone else with access ran Mythos against curl's codebase and later sent him a report. "It's not that I would have a lot of time to explore lots of different prompts and doing deep dive adventures anyway," Stenberg explained. "Getting the tool to generate a first proper scan and analysis would be great, whoever did it." That scan, which analyzed curl's git repository at a recent master-branch commit, was sent back to him earlier this month, and it found just five things that it claimed were "confirmed security vulnerabilities" in cURL. Saying he had expected an extensive list of vulnerabilities, Stenberg wrote that the report "felt like nothing," and that feeling was further validated by a review of Mythos' findings. "Once my curl security team fellows and I had poked on this short list for a number of hours and dug into the details, we had trimmed the list down and were left with one confirmed vulnerability," Stenberg said, bringing us back to the aforementioned number. As for the other four, three turned out to be false positives that pointed out cURL shortcomings already noted in API documentation, while the team deemed the fourth to be just a simple bug. "The single confirmed vulnerability is going to end up a severity low CVE planned to get published in sync with our pending next curl release 8.21.0 in late June," the cURL meister noted. "The flaw is not going to make anyone grasp for breath."

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GM is laying off about 500 to 600 salaried IT workers, mainly in Austin, Texas, and Warren, Michigan, as it restructures its technology organization and trims costs. "GM is transforming its Information Technology organization to better position the company for the future. As part of that work, we have made the difficult decision to eliminate certain roles globally. We are grateful for the contributions of the employees affected and are committed to supporting them through this transition," the automaker said in an emailed statement. CNBC reports: GM reported employing about 68,000 salaried workers globally as of the end of last year, including 47,000 white-collar employees in the U.S. Despite Monday's cuts, GM still is still hiring IT workers. The company has 82 open IT positions that include positions working in artificial intelligence, motorsports and autonomous vehicles, according to the automaker's careers website.

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Apple says end-to-end encryption for RCS messages between iPhone and Android is now available in iOS 26.5, though the feature is still considered beta and depends on carrier support on both sides. MacRumors reports: Apple says that it worked with Google to lead a cross-industry effort to add E2EE to RCS. iOS users will need iOS 26.5, while Android users will need the latest version of Google Messages. End-to-end encryption is on by default, and there is a toggle for it in the Messages section of the Settings app. Encrypted messages are denoted with a small lock symbol. On iPhones not running iOS 26.5, RCS messages between iPhone and Android users do not have E2EE, but the new update will put Android to iPhone conversations on par with iPhone to iPhone conversations that are encrypted through iMessage. Along with Google, Apple worked with the GSM Association to implement E2EE for RCS messages. E2EE is part of the RCS Universal Profile 3.0, published with Apple's help and built on the Messaging Layer Security protocol. RCS Universal Profile 3.0 also includes editing and deleting messages, cross-platform Tapback support, and replying to specific messages inline during cross-platform conversations.

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An anonymous reader quotes a report from 404 Media: Speaking to graduates of University of Central Florida's College of Arts and Humanities and Nicholson School of Communication and Media on May 8, commencement speaker Gloria Caulfield, vice president of strategic alliances at Tavistock Group, told graduating humanities students that AI is the "next industrial revolution," and was met with thousands of booing graduates. "And let's face it, change can be daunting. The rise of artificial intelligence is the next industrial revolution," Caulfield said. At that point, murmurs rippled through the crowd. Caulfield paused, and the crowd erupted into boos. "Oh, what happened?" Caulfield said, turning around with her hands out. "Okay, I struck a chord. May I finish?" Someone in the crowd yelled, "AI SUCKS!" Her speech begins around the hour and 15 minute mark in the UCF livestream. [...] Before the industrial revolution comment, Caulfield praised Jeff Bezos for his passion and use of Amazon as a "stepping stone" to his real dream: spaceflight. Rattled after the crowd's reaction, she continued her speech: "Only a few years ago, AI was not a factor in our lives." The crowd cheered. "Okay. We've got a bipolar topic here I see," Caulfield said. "And now AI capabilities are in the palm of our hands." The crowd booed again. "I love it, passion, let's go," she said. "AI is beginning to challenge all major sectors to find their highest and best use," she continued. "Okay, I don't want any giggles when I say this. We have been through this before, these industrial revolutions. In my graduation era, we were faced with the launch of the internet." She goes on to talk about how cellphones used to be the size of briefcases. "At that time we had no idea how any of these technologies would impact the world and our lives. [...] These were some of the same trepidations and concerns we are now facing. But ultimately it was a game changer for global economic development and the proliferation of new businesses that never existed like Apple and Google and Meta and so many others, and not to mention countless job opportunities. So being an optimist here, AI alongside human intelligence has the potential to help us solve some of humanity's greatest problems. Many of you in this graduating class will play a role in making this happen."

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Google says it has seen the first evidence of cybercriminals using AI to create a zero-day vulnerability. "Google reported its findings to the unnamed firm affected by the vulnerability before releasing its report," reports Politico. "The company then issued a patch to fix the issue." From the report: Google Threat Intelligence Group researchers detailed the development in a report released Monday. Zero-day exploits are considered the most serious type of security flaw because they are not detected by security companies and have no known fixes. The report noted that this was the first time Google had seen evidence of AI being used to develop these vulnerabilities -- marking a major change in the cybersecurity landscape, as it suggests newer AI models could be used to create major exploits, not just find them. Google concluded that Anthropic's Claude Mythos model -- which has already found thousands of vulnerabilities across every major operating system and web browser -- was most likely not used to create the zero-day exploit. [...] The Google Threat Intelligence Group report also details efforts by Russia-linked hacking groups to use AI models to target Ukrainian networks with malware, while North Korean government hacking group APT45 used AI technologies to refine and scale up its cyber methods. John Hultquist, chief analyst at Google Threat Intelligence Group, said the findings made clear that the race to use AI to find network vulnerabilities has "already begun." "For every zero-day we can trace back to AI, there are probably many more out there," Hultquist said. "Threat actors are using AI to boost the speed, scale, and sophistication of their attacks."

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Apple now requires Education Store shoppers in the U.S. and several other countries to verify their student, educator, parent, or homeschool-teacher status through UNiDAYS, ending the previous honor-system approach. 9to5Mac reports: Starting today, Apple requires shoppers in the United States to complete verification when making a purchase via the Education Store. This change also applies to Australia, Hong Kong, Turkey, Canada, and Chile. In many other markets around the world, such as the UK, Apple already required verification. As a refresher, people eligible for Apple's Education Store include current and newly accepted college students and their parents, as well as faculty, staff, and homeschool teachers across all grade levels. Apple is teaming up with UNiDAYS to handle the verification process. Students and educators will be asked to create a UNiDAYS ID and then verify their academic status by logging in to their school's academic portal. Alternatively, users can upload a photo of their student or faculty IDs. Homeschool teachers, meanwhile, will need to provide an identity document such as a driver's license, state ID card, or passport. They'll also need to provide one homeschool document, such as a Letter of Intent (LOI) or Letter of Acknowledgment. Most customers will be verified instantly, and those requiring manual verification should hear back within 24 hours. The same verification process applies both in-store and online for Apple Education Store shoppers. Meanwhile, Apple has added Apple Watch to the Education Store for the first time, offering discounts on the Series 11, SE 3, and Ultra 3.

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An anonymous reader quotes a report from TechCrunch: Fictional portrayals of artificial intelligence can have a real effect on AI models, according to Anthropic. Last year, the company said that during pre-release tests involving a fictional company, Claude Opus 4 would often try to blackmail engineers to avoid being replaced by another system. Anthropic later published research suggesting that models from other companies had similar issues with "agentic misalignment." Apparently Anthropic has done more work around that behavior, claiming in a post on X, "We believe the original source of the behavior was internet text that portrays AI as evil and interested in self-preservation." The company went into more detail in a blog post stating that since Claude Haiku 4.5, Anthropic's models "never engage in blackmail [during testing], where previous models would sometimes do so up to 96% of the time." What accounts for the difference? The company said it found that training on "documents about Claude's constitution and fictional stories about AIs behaving admirably improve alignment." Related, Anthropic said that it found training to be more effective when it includes "the principles underlying aligned behavior" and not just "demonstrations of aligned behavior alone." "Doing both together appears to be the most effective strategy," the company said.

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Linux 7.1 started phasing out support for Intel's 37-year-old i486 processor. Linux 7.2 removed drivers for the old AMD Elan 32-bit systems on a chip. And now some i586 and i686 class processors are being removed, reports Phoronix: Supporting those vintage GPUs without the Time Stamp Counter "TSC" instruction are becoming a burden... TSC-capable Intel Pentium processors and the likes will still be supported with this just being for TSC-less i586/i686 CPUs. Among the CPUs impacted by this latest change is the AMD K5 as well as various Cyrix processor models. The K5 was AMD's first entirely in-house designed processor that was first introduced in 1996 to counter the Intel Pentium CPU. TSC "support can now be assumed as a boot requirement for modern Linux," the article points out, which will allow the removal of various non-TSC code paths from the Linux kernel's x86 code. Tom's Hardware remembers the K5 "wasn't a very popular processor as it arrived late, then offered lackluster performance in the competitive environment it joined." Launch SKUs in 1996 were limited to clocks from 75 MHz to 133 MHz, and, due to being late, Intel's Pentium line was already faster. AMD still managed to get an edge on the Cyrix 6x86, though.

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