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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. 
Read more of this story at Slashdot. - CUDA Proves Nvidia Is a Software Company 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.
Read more of this story at Slashdot. - Anthropic's Bug-Hunting Mythos Was Greatest Marketing Stunt Ever, Says cURL Creator 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."
Read more of this story at Slashdot. - GM Cutting Hundreds of Salaried IT Workers As It Trims Costs, Evaluates Needs 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.
Read more of this story at Slashdot. - iPhone-Android RCS Conversations Are End-To-End Encrypted In iOS 26.5 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.
Read more of this story at Slashdot. - Students Boo Commencement Speaker After She Calls AI the 'Next Industrial Revolution' 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."
Read more of this story at Slashdot. - Google Says Hackers Used AI To Create Zero Day Security Flaw For the First Time 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."
Read more of this story at Slashdot. - Apple Now Requires Verification For Education Store 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.
Read more of this story at Slashdot. - Anthropic Says 'Evil' Portrayals of AI Were Responsible For Claude's Blackmail Attempts 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.
Read more of this story at Slashdot. - Linux Kernel Starts Retiring Support for AMD's 30-Year-Old K5 CPUs 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.
Read more of this story at Slashdot. - Ford's Electrified Vehicle Sales Dropped 31% in April From One Year Ago Ford's sales of electrified vehicles — including hybrids and all-electric models — dropped 31% from April 2025, reports Electrek. "Hybrid sales fell 32% to 15,758 vehicles, while EV sales continued to crash with just 3,655 all-electric models sold last month, 25% fewer than in the year prior." After discontinuing the F-150 Lightning in December, sales of the electric pickup have been in free fall. Ford sold just 884 Lightnings last month, 49% less than it did last April. The Mustang Mach-E isn't doing much better. Sales fell another 9% year over year in April, to just 2,670 models last month. Through the first four months of 2026, Ford's EV sales have fallen 61% from last year, with F-150 Lightning and Mustang Mach-E sales down 67% and 50%, respectively. Ford has sold just over 10,500 electric vehicles in total so far this year... For comparison, Toyota sold just over 10,000 bZ models in the first quarter alone. That's more than Ford's total EV sales in Q1. April was Ford's fourth straight month of lower sales figures from 2025, the article points out. So Ford is bringing back "employee pricing" discounts on most new 2025 and 2026 Ford and Lincoln vehicles., while also offering "purchase incentives" of up to $9,000 for 2025 Lightning models and up to $6,000 for 2025 Mustang Mach-Es. "It's also offering EV buyers a free Level 2 home charger, 24/7 live support, and proactive roadside assistance through its Power Promise program."
Read more of this story at Slashdot. - Open Source Project Shuts Down Over Legal Threats from 3D Printer Company Bambu Lab The free/open source project OrcaSlicer is a popular fork of 3D printer slicing software from Bambu Lab. But Tuesday independent developer Pawel Jarczak shuttered the project "following legal threats from Bambu Lab," reports Tom's Hardware: Jarczak's fork of OrcaSlicer would have allowed users to bypass Bambu Connect, a middleware application that severely limits OrcaSlicer's access to remote printer functions in the name of security. Jarczak said in a note on GitHub that Bambu Lab threatened him with a cease and desist letter and accused him of reverse engineering its software in order to impersonate Bambu Studio. From Bambu Lab's blog post: Bambu Studio is an open-source project under the AGPL-3.0 license. Anyone can take its code, modify it, and distribute it... That's what OrcaSlicer does, and 734 other forks do as well. We have no issue with that and never have. At the same time, a license for code is not a pass to our cloud infrastructure... Our cloud is a private service. Access to it is governed by a user agreement, not the AGPL license... [T]he modification in question worked by injecting falsified identity metadata into network communication. In simple terms: it pretended to be the official Bambu Studio client when communicating with our servers... If this method were widely adopted or incorrectly configured, thousands of clients could simultaneously hit our servers while impersonating the official client. "User-Agent is not authentication," counters OrcaSlicer's developer. "It is only self-declared client metadata. Any program can set any User-Agent." And "the User-Agent construction comes directly from Bambu Lab's own public AGPL Bambu Studio code.... So on what basis can anyone claim that I am not allowed to use this specific part of AGPL-licensed code under the AGPL license...? My work was based on publicly available Bambu Studio source code together with my own integration layer." But the bottom line is that Bambu Lab "contacted me directly and demanded removal of the solution." I asked whether I could publish the private correspondence in full for transparency. That request was refused... They also referred to legal materials and stated that a cease and desist letter had been prepared... I removed the repository voluntarily. That removal should not be interpreted as an admission that all legal or technical allegations made against the project were correct. I removed it because I have no interest in maintaining a prolonged dispute around this particular implementation, and no interest in continuing to distribute it. YouTuber and right-to-repair advocate Louis Rossmann reviewed the correspondence from Bambu Lab — then pledged $10,000 for legal expenses if the developer returned his code online. ("I think that their legal claim is bullshit," Rossman said Saturday in a YouTube video for his 2.5 million subscribers. "I'm not a lawyer, but I'm willing to put my money where my mouth is.") The video now has over 129,000 views so far. "Rossman has not started a crowdfunding site yet," Tom's Hardware notes, "stating in the comments that he wants to prove to Jarczak that he has supporters willing to put their money where their mouth is. The video had over 129,000 views so far, with commenters vowing to back the case as requested."
Read more of this story at Slashdot. - Most Polymarket Users Lose Money, While Top 1% Claim 76.5% of Gains, Study Finds In Polymarket's prediction market, "most people end up losing money," reports the Washington Post — typically a few bucks. "Since Polymarket launched in 2022, a few thousand people have lost the bulk of the money... and an even smaller group — .05 percent of users — has gone home with most of the overall profits, according to a new analysis from finance researcher Pat Akey and colleagues." A lot of users aren't that good at predicting the future. They're losing money at roughly the same rate as online gamblers betting on sports and other real-life events at traditional sportsbooks, according to the U.K. gambling regulator's analysis of 2024 data. On Polymarket, the odds of making a profit are slightly higher on weather and tech markets — and a little lower on sports... On Polymarket, just 1,200 people took more than half the profits — $591 million, or more than $100,000 each. ["The top 1% of users capture 76.5% of all trading gains," the researchers write.] When you dabble in prediction markets, you're competing against these sophisticated players who consistently win. Most of those 1,200 big winners didn't place just a few smart bets. They appear to be pros making thousands of trades, mostly in the past year and a half, that were probably automated. One user made $3 million since January on more than a million trades about the Oscars, according to TRM Labs... The most profitable participants are also just good at picking what to bet on, Akey found, winning so often it was statistically unlikely to be dumb luck. They had some sort of edge — expertise, deep research or, perhaps, inside knowledge. "Our results suggest that the informational benefits of prediction markets come at a cost to unsophisticated participants," the researchers conclude.
Read more of this story at Slashdot. - PlayStation3 Emulator Devs Politely Ask Contributors to Stop Submitting 'AI Slop' Pull Requests Open-source PS3 emulator RPCS3 "has been around since 2011," Kotaku notes, and has made 70% of the PlayStation 3's library fully playable, "bolstered in part by the many users who contribute to its GitHub page." But their dev team "took to X today to very kindly and civilly request that users 'stop submitting AI slop code pull requests' to its GitHub page." Then they immediately proceeded to tell the AI-brain-rotted tech bros attempting to justify their vibe-coding nonsense to kick rocks in the replies, which is somewhat less civil but far more entertaining to read... My favorite one was when someone asked how the team was certain they weren't rejecting human-written code, to which RPCS3 replied: "You can't possibly handwrite the type of shit AI slop we have been seeing."
Read more of this story at Slashdot. - Honda Patents a Fake Clutch for Electric Motorcycles An anonymous reader shared this report from Electrek: A newly revealed Honda patent shows the company developing a simulated electronic clutch system for electric motorcycles, complete with torque-boost launches and even haptic feedback designed to mimic the feel of a combustion engine.... Instead of using a traditional mechanical clutch, the system uses electronics to alter how the motor responds based on clutch lever position. Pull the clutch halfway in, and the system proportionally reduces motor output. Pull it fully, and power is cut entirely, regardless of throttle position. But the more interesting part is how Honda intends to recreate the behavior riders actually use clutches for. According to the patent as reported by AMCN, riders could preload the throttle while holding in the clutch lever, then rapidly release the lever to trigger a burst of torque — essentially simulating the hard launches motocross riders rely on with gas bikes. Honda believes that could be useful in competitive riding situations where precise power modulation matters, especially on loose terrain or during aggressive starts. Honda also appears to be working on recreating the feel of a gas bike, not just the control inputs. The patent describes multiple vibration motors placed in the handlebars and near the clutch lever to provide haptic feedback that simulates engine vibration and even the "bite point" sensation of a clutch engaging. In other words, Honda may be trying to make an electric dirt bike feel mechanically alive, or at least the old-school idea of what a breathing dirt bike used to feel like.
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