Micron has signed 16 "strategic customer agreements" (SCAs) that include a floor price the company says comes with "a very robust gross margin for Micron, well above our peak quarterly margins in any past cycle." Most of the deals run through 2030 and cover about 40% of Micron's revenue. The Register reports: Micron CEO, president and chairman Sanjay Mehrotra explained the SCAs in prepared remarks delivered during the company's Q3 earnings call. He explained that Micron has signed 16 SCAs, most of them covering 2026 to 2030, and that they involve a commitment to buy a certain quantity of product and pay for it in a pricing band that has a floor and a ceiling price. The floor price covers the historically high gross margins mentioned above, and the ceiling price means those who commit to an SCA are insulated if memory prices go even higher.

The CEO said 16 customers have signed SCAs and then explained why it's worth locking into the deals even though they bake in such high margins. "Our customers are recognizing that supply shortages in memory and storage will take considerable time to improve," he said. "Even as we expect industry supply to improve gradually in 2028, we currently do not have line of sight as to when memory supply will be able to catch up with increasing demand."

Even massive efforts to build new chip fabs aren't much help, he said, because the increasing complexity of new memory types means it takes longer to build factories -- and when they come online there still won't be enough capacity to build both the high-bandwidth memory needed for AI and other types of NAND and DRAM. "Supply is structurally constrained in its growth and ability to meet industry demand, despite our comprehensive efforts to increase supply," he said.

Don't assume that SCAs mean your suppliers get price certainty, because Mehrotra said the deals will account for 40 percent of Micron revenue -- meaning the company is reserving most of its inventory to sell at prices it can negotiate. The CEO did have a little good news in the form of predictions that Micron's DRAM output in 2026 will "grow in the low- to mid-20s percentage range, slightly above our prior outlook." He also revealed that the SCAs see customers pay up front, which helps Micron to fund its fab expansions.

An anonymous reader quotes a report from Ars Technica: Google spent the last few years locked in a legal grudge match with Epic Games, which claimed that Google's stewardship of the Play Store was anticompetitive. Now, the companies are thick as thieves, and Google is beginning to implement app store changes as agreed in its settlement with Epic. The lower developer fees and new payment options that Google promised are rolling out in select markets this month before expanding. [...] Starting on June 30, developers in Europe, the UK, and the US will have access to the new fee structure. This system will split the commission into two components: billing and service fees.

The biggest win for small developers is the new flat 10 percent service fee for the first $1 million in earnings every year. Above that, the rate for various transaction types may reach 25 percent on existing installs. Apps installed after June 30 will top out at 20 percent. Developers will finally be allowed to send users outside the Play Store to complete a transaction, too. Google says they can design a choice screen "in accordance with our UX guidelines" to direct users to these external options. Devs pay the standard service fee on these purchases, but they'll avoid the billing fee. All transactions that run through Google's Play Store platform add a 5 percent billing fee -- even the base rate for publishers earning less than $1 million. Google notes that the billing fee is set at 5 percent in the initial markets, but it could be different in other regions. Google will expand the new fee structure globally through September 2027, while also offering reduced fees through updated developer programs.

Although the changes may let developers retain more revenue, Google will continue controlling Android distribution and collecting a share of sales as it works toward allowing certified third-party app stores to operate more like the Play Store.

joshuark shares a report from Car and Driver: A new study conducted by the New York Times shows that the increase in vehicle hood height seen over the last two and a half decades, mainly due to the rise in popularity of large SUVs and trucks, has resulted in several thousand deaths that otherwise may not have happened. The study shows that while automakers and regulators have focused on occupant safety, they have turned a blind eye to pedestrian safety, which has fallen since around 2009. Researchers looked at four main datasets in their investigation: crash test data from the National Highway Traffic Safety Administration's (NHTSA) Crash Report Sampling System (CRSS) from 2016 to 2024; NHTSA's Fatality Analysis Reporting System (FARS); vehicle measurement data from Expert AutoStats; and vehicle registration data from S&P Global from 2002 to 2024. The researchers concluded that the increased danger to pedestrians is caused by two main culprits.

First, large SUVs and trucks have taller hoods, raising the point of impact above most people's center of gravity and pushing them to the ground, typically hard asphalt, rather than up and onto the hood, which is designed to absorb impacts. Second, with larger A-pillars designed to protect occupants in rollover crashes, modern cars tend to have larger blind spots than cars sold at the turn of the century (presuming the 21st century). The shift toward vehicles with taller hoods led to roughly 3000 deaths between 2016 and 2024. This number is conservative because it does not include crashes that take place in parking lots, driveways, or private roads, which aren't part of the federal database.

The data also showed an estimated 2.8 percent increase in the odds of a pedestrian fatality for every one-inch increase in vehicle hood height. Between two different scenarios, one decreasing the hood height of every vehicle in the dataset by 3 inches, and the second using a random sampling of hood heights from 2002 across 10,000 simulated crashes, between 2624 (for scenario two) and 3077 (for scenario one) lives could have been saved from 2016 to 2024.

Slate Auto says its stripped-down electric pickup will start at $24,950 before fees, with the base model's estimated range increased from 150 to about 205 miles. The company has started taking preorders on Wednesday. "The aggressive pricing -- half the average cost of a new car in the United States -- puts Slate in position to capture a share of the lowest end of the new car market, which has few gas and fewer electric options these days," reports TechCrunch. From the report: The price reveal comes more than a year after Slate Auto emerged from stealth. Since then, the company has been steadily detailing the extremely basic, transforming EV, which starts as a two-seater pickup truck, but can be modified into a five-seater SUV. The SUV version will start at $29,950, Slate said Wednesday. Slate has said the conversion can be done by professionals or by owners themselves. On Wednesday, it finally showed off some of the first of its "Slate University" how-to videos, which guide people through the steps for doing everything from the SUV conversion to adding headlight covers.

Everything else about the truck is bare, though it's customizable. It has hand-crank windows, lacks an infotainment system, and all orders start with the same gray composite material, with no paint options, as Slate plans to let buyers order customizable wraps for the vehicle. That likely helps cut out a major cost center, as factory paint shops can run in the hundreds of millions of dollars. The company did not offer more details about the buying process. Slate has said it "won't have traditional dealerships," and plans to sell directly to customers, similar to other EV companies like Tesla, Rivian, and Lucid Motors.

Meta has paused its Model Compatibility Initiative that tracked employee mouse movements, clicks, keystrokes, and screen content to train AI agents, after some of its collected data became accessible to more employees than intended. Meta says it has no evidence the information was improperly accessed and will not restart the program until it is confident in its safeguards. Wired reports: Meta rolled out the Model Compatibility Initiative (MCI) tool in April to US employees. The tool "collects computer inputs such as mouse movements, click locations and keystrokes, as well as screen content," according to workers who have been petitioning against it over privacy, security, and personal liberty concerns. When MCI launched, employees couldn't opt out, but that changed to a limited degree after workers protested. Meta executives have repeatedly defended the data-gathering project, saying it was necessary to train AI systems to operate computer software the way humans do and that employees were the best examples for the artificial intelligence to learn from.

On Monday, a Meta engineer issued an internal security notice stating that databases filled with information gathered by MCI had been exposed to anyone inside the company. A former employee actively involved in pushing back against MCI describes the lapse as "a mess" -- and one that employees had expected would occur. "When workers raised concerns, leadership doubled down and failed to acknowledge the risks workers raised about the safety and privacy of worker and customer data," the person says. "Leadership has clearly created an authoritarian environment where workers are no longer respected or heard."

But after critical comments poured into internal forums on Monday expressing frustration about the security issue, Meta shocked some of its staff by pausing MCI altogether, telling WIRED about the development several hours before announcing it to employees. A few workers told WIRED they were confused in the meantime because the tool was continuing to run on their laptops. Late on Monday, Stephane Kasriel, a Meta vice president overseeing AI research, announced the pause and told staff that the security issue had been discovered on June 18 and addressed within four hours. But the initial fix didn't stick and access to the data had to be further locked down. The issue made "some MCI-derived data" accessible to more people than intended, he wrote, without elaborating.

A peer-reviewed Nature critique argues that Microsoft's 2025 Majorana quantum-computing breakthrough -- and its claim that it could enable "a truly meaningful quantum computer not in decades, as some have predicted, but in years" -- is fundamentally flawed. According to Dr Henry Legg, a lecturer at the University of St Andrews, the claims were undermined by omitted data, selective plotting, and basic Python errors that concealed alternative results. Microsoft, for its part, says the bugs were minor and stands by its findings and roadmap. The Register reports: "Last year they claimed to be years, not decades from a 'topological quantum supercomputer,'" Legg told The Register in an email. "My feeling is that they are centuries, not decades away. If it works at all -- and, based on what I have seen, the most likely scenario is that it doesn't work." Based on his analysis of the research Microsoft published in 2025, Legg argues that the company's claims about finding and being able to control the elusive Majorana particle to build a topological superconductor do not withstand scrutiny.

"I demonstrate that Microsoft's tune-up software is flawed and that coding errors resulted in incorrect statements to peer reviewers," said Legg. "Raw data, which was omitted from the original paper, also appears to indicate Microsoft's devices contain considerable disorder and are not compatible with the existence of a topological gap. In other words, the prerequisites for Microsoft's claims do not appear to be met, but this was obscured because this data did not appear in the original publication."

Essentially, Microsoft has proposed a Topological Gap Protocol (TGP) that can be used to detect the phase transition deemed to be a prerequisite for conducting quantum calculations using Majorana particles. Legg argues that based on his analysis of underlying transport data (measurements of particle change) -- omitted from the original publication -- Microsoft chose to focus on results that supported its thesis and ignored data that could be interpreted as a negative result. As he notes in his critique: "The TGP plotting code was set to highlight only the largest purportedly topological region."

"The primary consequence was the omission of other regions that passed their tune-up protocol (the TGP)," said Legg. "When peer reviewers asked if other regions existed, Microsoft inaccurately stated that they had investigated the only region passing the protocol within the explored range. This was not correct." Legg also argues that Microsoft mishandled its code. "The code antisymmetrized bias voltage based on array index rather than physical value," his analysis says.

In other words, Microsoft's researchers made a basic programming mistake by evaluating the array index -- the number identifying a value's position in an array -- instead of the value to which the index refers. "There were two pretty basic Python programming errors that hid these alternative regions," Legg explained. "Their plotting software was hardcoded with a filter (zbp_cluster_numbers=[1]) that forced it to display only the single largest region, concealing other successful results from their phase maps. Changing this to zbp_cluster_numbers=[1,2] shows already a second region." Legg added: "The TGP software transformed the data by simply reversing a Python array (x[::-1]) based on its index position, ignoring the actual physical bias voltages."

Longtime Slashdot reader hackingbear shares a report from TOP500: The 67th edition of the TOP500 list of the world's most powerful supercomputers was announced today at the ISC 2026 conference in Hamburg, Germany. LineShine, a previously unlisted system installed in China, debuts at No. 1, displacing El Capitan as the world's most powerful supercomputer as measured by the High Performance Linpack (HPL) benchmark. LineShine achieved 2.198 Exaflop/s on HPL -- about 80 percent of its 2.736 Exaflop/s theoretical peak -- making it the first system on the TOP500 to exceed two exaflops of sustained double-precision performance using CPUs only.

Installed at the National Supercomputing Centre in Shenzhen (NSCS) and built by the Shenzhen Cloud Computing Center, the system is based on a custom Chinese processor and the "LingKun" platform: 13.79 million cores across 304-core LX2 processors running at 1.55 GHz, linked by the proprietary LingQi interconnect and running Kylin OS. LineShine draws approximately 42.2 megawatts of power, for an efficiency of 52.07 Gigaflops/Watt. Its debut marks the first time since 2017 that a Chinese system has led the TOP500, and it also takes over the No. 1 position on the HPCG ranking with 22.00 HPCG-Petaflop/s. On the HPL-MxP mixed-precision benchmark, LineShine reached 7.92 Exaflop/s for fourth place, a comparatively modest 3.6x speedup over its HPL score that points to a CPU-only design without dedicated low-precision accelerators. While impressive, "the results may say more about Beijing's desire to show self-sufficiency in computing systems than its standing in the global AI race," reports Reuters.

Reuters interviewed tech and policy experts who said that the results "do not mean that China has the world's fastest computer for AI work because of changes in the computing industry in recent years and the methods used to compile the list." The reports notes that LineShine "ranked fourth on a benchmark test designed to simulate computing work that is more similar to AI."

Jimmy Goodrich, a senior fellow at the University of California's Institute for Global Conflict and Cooperation, said: "If the hyperscalers submitted their systems, this 'world's fastest' would not crack the top five." Addison Snell, CEO of Intersect360 Research, a firm that focuses on supercomputers, added: "I'm not surprised it's the number one system. What I'm surprised by is that they submitted it and want recognition for it."

Wikipedia cofounder Larry Sanger has been indefinitely banned from editing the site after editors concluded that he violated its canvassing rules, "or in other words, calling on his followers off platform in order to influence Wikipedia's content," reports 404 Media. Sanger says the ban proves Wikipedia suppresses ideological diversity, while editors argue he was trying to mobilize an outside audience to influence internal decisions and had ignored an earlier warning. From the report: The discussion that led to the decision to ban Sanger concluded with what an editor called a "clear consensus" to ban Sanger. "There is general agreement among participants that he has engaged in off-wiki canvassing and is not here to constructively build the encyclopedia," the editor said in a note closing the discussion. "There is also a significant concern shared by many editors that his actions constitute calls for outing."

While Sanger has been railing about bias on Wikipedia for years, the specific issue here is around his WikiProject Intellectual Diversity. WikiProjects are group efforts among Wikipedia volunteers to deal with certain issues on the site. [...] Sanger's WikiProject Intellectual Diversity, as its name implies, aims to bring more intellectual diversity to the site, mostly meaning more right-leaning perspectives. Sanger's WikiProject Intellectual Diversity and its goals alone do not merit a ban according to Wikipedia's policies. The problem, according to Wikipedia editors, is that during the discussion about whether to allow WikiProject Intellectual Diversity to become an official WikiProject, Sanger invited his 91,000 followers on X to influence that discussion.

Discussions about potential bans are supposed to remain open for at least 72 hours. While consensus that Sanger had violated Wikipedia policies was clear, Sanger was banned at some point before that deadline. He was then briefly unbanned, and then again indefinitely banned once 72 hours had elapsed and the discussion about the ban closed. "Wikipedia has become more of a mob-rule anarchy than ever," Sanger said in a statement sent to me by a spokesperson. "In the kangaroo court in which a mob ousted me, Wikipedia's administrators showed that they don't appear to value details like formal charges, a designated prosecutor, basic decorum, distinction between prosecution and judge, dispassionate adjudication, and so forth. They have no proper system other than triggering a mob to selectively enforce their hodgepodge of vague rules."

"Now that same mob has blocked me for trying to bring an intellectually diverse group of thinkers and editors to the site," Sanger continued. "Subscribing to their groupthink is now an official requirement of being a member in good standing. Something must change, and now. I only wonder if the system as it currently stands can even allow the discourse necessary to fix the system."

An anonymous reader quotes a report from the New York Times: Mr. Zuckerberg, the chief executive of Meta, recently dispatched a small team at his company to create a smartphone app similar to Polymarket and Kalshi, two employees with knowledge of the matter said. Users would not wager money, and the app would probably rely on a video game-like points system instead, one person said, though the company had not ruled out the eventual use of real money betting. The app is internally referred to as "Arena" and would function independently from Meta's social networking apps, which include Facebook, Instagram, WhatsApp and Messenger, said the employees, who spoke on the condition of anonymity to discuss confidential plans. Meta aims to grow the app by leveraging its large social networking audiences and directing them toward using it, they said.

The effort, which insiders characterized as experimental but a top priority, is part of a broader push by Mr. Zuckerberg to create new types of apps based on emerging social behavior online. More than 3.56 billion people visit one or more of Meta's apps every day, an amount that has raised questions about whether those platforms have reached a saturation point. Arena is one of a handful of apps that Meta is trying out. Others include one called Meta Photos, another stand-alone app which would create new types of media using artificial intelligence, the employees said. [...] Meta insiders have cautioned that Arena remains in development and may not be released. But as executives search for ways to keep the world's largest social media sites thriving, Mr. Zuckerberg appears to be relying on his well-worn product development strategy: Follow the users.

Meta has launched its first smart glasses without Ray-Ban branding. Starting at $299, they're cheaper than the Ray-Ban Meta Gen 2 while retaining EssilorLuxottica as a design and manufacturing partner. The Verge reports: As far as style and specs, the Meta Glasses aren't that different from Ray-Bans. The internal specs are the same as the recently released Ray-Ban Meta Optics Styles, with slightly longer battery life. The Adventurer models have thinner rims, while the Fury models hew a bit closer to the Meta Ray-Ban Display with a bolder, chunkier frame. You could describe the Adventurer as square, and the Fury as even more square. The Kylie glasses sport a more unique design with a distinct Y2K flavor that I'm told is meant to be worn lower on your nose. [...] While playing around with the Meta Glasses, it was hard not to notice that the camera appears smaller than in previous Ray-Ban glasses. Technically, Himel tells me, that's not new to these Meta Glasses. It was actually introduced back in March with the prescription-optimized Optics Styles.

[...] Meta is quadrupling down on AI. The new Meta Glasses will all launch with Muse Spark, the first model out of Meta's Superintelligence Labs. (It'll also be arriving on older Ray-Ban and Oakley glasses in the US and Canada via a software update.) Supposedly, that means more helpful glasses. At my hands-on, I was told that Meta AI would now be less stiff. I'd be able to talk to it more naturally and get smarter responses. The AI now supports 14 more languages, including Arabic, Japanese, Mandarin, Hindi, and Korean. Pedestrian turn-by-turn navigation is also coming to Meta's displayless glasses. Later this month, there'll be a new "dynamic photo" feature that automatically takes multiple frames and then recommends the best one.

An anonymous reader quotes a report from Reuters: Britain is considering forcing social media companies to prioritize what the government called trusted news sources as part of its broader push to tighten regulation of the sector. The culture department said on Monday it was considering requiring platforms such as Meta's Facebook, Alphabet-owned YouTube and TikTok to make content from public service media -- including the BBC, ITV and Channel 4 -- and other trusted news providers easier to find in users' feeds and searches.

Boosting the visibility of regulated news providers could help tackle misinformation, particularly during crises, the government said. However, any move to influence how platforms rank content is likely to face scrutiny from the social media firms, which say such rules could override user choice and disadvantage other creators. The proposals form part of a broader overhaul of Britain's public service media system to help broadcasters compete with streaming platforms and shifting viewing habits. Ministers are also considering widening public service media status to include online-only providers, extending free-to-air protections for major sporting events to on-demand viewing, and consulting on a shift to internet-based TV from 2034 or 2044. "It is vital that we make sure that people have better access to trusted and accurate news and that our regulated public service media is seen and heard in the fierce battle against mis- and disinformation," culture minister Lisa Nandy said in a statement.

The move follows the UK's recently-announced ban on social media use for those under 16.

With the price of the new Steam Machine starting at $1,049, you might want to consider making your own Steam Machine instead. An anonymous reader quotes a report from The Verge: Valve says that "starting with the SteamOS 3.8 release, you can put together your own Steam Machine using whatever PC parts you want." SteamOS 3.8.10 launched last week with a slew of updates, including "improved compatibility with recent Intel and AMD platforms." Alongside that improved compatibility, Valve is giving gamers the green light to install SteamOS on their own desktops. In an interview with The Verge, Valve's Pierre-Loup Griffais said Valve has been "rolling out improvements to [SteamOS] so it's more compatible with desktop hardware," including eventual support for Nvidia graphics. Griffais says Valve has "a growing team" working on Nvidia driver support for SteamOS, adding, "We're collaborating with Nvidia very closely." While he mentioned that Nvidia support might not come this year, Griffais emphasized that "it's certainly something that we're working on in the background."

It's technically been possible to run SteamOS on your own hardware for a while now, but compatibility has been mostly limited to AMD systems. So far installing it has also required using a Steam Deck recovery image, a process that, speaking from experience, is much less straightforward than the installation process for most other Linux distributions. Trying to run SteamOS on Intel or Nvidia hardware has not been easy so far. According to Griffais, Valve is working to change that, which could mean that down the line, you'll be able to run SteamOS on just about any gaming PC hardware you want, including Nvidia.

For the more immediate future, Griffais says SteamOS in its current state should offer a "good experience" on console-like PC setups: "If you have something that is similar to the use case of a Steam Machine, where you have a PC that's gonna be plugged into a TV, and has a single hard drive that you're not going to try and dual boot [] you can put SteamOS on there, and you'll have an experience that is very similar to a Steam Deck docked or a Steam Machine, with some caveats, of course," like a lack of HDMI-CEC support. But "the core bits of the experience are there. The SteamOS graphics driver, the shader precompilation [...] you can get at all of that with the SteamOS." Griffais says SteamOS does not yet offer an easy way to dual-boot alongside Windows or another operating system, but envisions "a time where it's a better experience to install on your desktop and have it coexist with a different operating system."

Google is investing roughly $75 million in A24 as part of a research partnership with DeepMind to develop AI-powered filmmaking tools and workflows. "The deal represents the latest marriage between a Hollywood studio and AI in an era where companies have oscillated between partnerships and lawsuits," reports Variety. From the report: A24 partner Scott Belsky, who leads the studio's technology division A24 Labs, told the Journal the studio's Google partnership differed from other deals because AI developers mistakenly advertised their products as a means to make films cheaper and faster. His division is developing applications for AI-generated storyboards, another reimagination of the production process that has seen filmmakers like Martin Scorsese rubber-stamp. "We think there are better uses that preserve creative control and support risk-taking," said Belsky, arguing the new tools "won't look anything like the prompted generation type of AI that people feel uncomfortable with."

An anonymous reader quotes a report from Wired: As Big Tech dumps billions of dollars into America's data center buildout, a slew of opportunities have opened up to the electricians wiring these massive facilities. In some cases, the scale of the projects and the demanding construction timelines are fueling talent wars for the industry's best and brightest. The US-based International Brotherhood of Electrical Workers (IBEW) has argued that its workers are "powering the AI Revolution," and a set of "Data Center Principles" published in March argues that union labor is "essential to the future of AI." Tech companies are trying to meet the moment: Meta recently announced a skilled trade academy program, and Google committed $50 million to help train people in skilled trades.

But amid growing national opposition to data centers, debates over the ethics of the massive buildout have started to pop up in some online pockets of the community. Threads about how AI will affect the economy now pepper r/electricians, a subreddit with around half a million monthly visitors. Some users wonder whether the work will eventually prompt widespread job losses. Others aren't sure if their labor makes them complicit in the damage done to local communities or whether it's unethical to take on data center work. For some, the answer is a firm no. Ultimately, they argue, work is work. An anonymous Midwest electrician who spoke to Wired acknowledged concerns about scams, corporate greed, and AI's impact on workers, but said he views data centers as an important source of career advancement. "This is most likely going to be a major part of our future. And if you can't beat them, join them," he said.

An electrician named Ryan, meanwhile, is strongly opposed to working on data centers because he distrusts the corporations and political environment driving AI development. Still, if the facilities are going to be built, he would prefer union workers construct them. "If they're going to get built, I'd rather they go union," he said.

Jesse, an IBEW electrician, sympathizes with communities negatively affected by data centers but does not believe the electricians building them should be blamed. In his view, opposition should instead be directed toward policymakers and the project approval process. "I think it's ridiculous if, to build a data center or any kind of a business, you're going to significantly impact the lives of that community in a negative way," he told Wired.

An electrician named Dante echoed some of those sentiments, arguing that data center work is no more ethically compromised than many other commercial construction projects. "We're almost always working for the worst possible people in the end, but we all need a paycheck," he said. He added that such projects are "essentially the same kind of work," typically performed for wealthy corporations seeking to become even richer.

UC San Diego researchers are working with Google to build a private cloud from 2,000 retired Pixel Fold motherboards, demonstrating how discarded smartphones could provide useful, low-cost computing capacity. "The full smartphone cluster is expected to launch this fall," reports The Register. "Depending on how well the initial phase goes, we're told the cluster could grow even larger." From the report Once the phone's motherboards have been extracted from their shells, the researchers say that the chips hiding within remain more than potent enough to be useful for a variety of tasks. In many cases, the single-threaded performance of these chips is as good as, if not better than, what you'd find from a many-cored datacenter chip. The Pixel Fold smartphones, which will form the basis of the cluster, are powered by a Google Tensor G2 processor with two 2.85 GHz Cortex-X1, two 2.35 GHz Cortex-A78 and four 1.80 GHz Cortex-A55 Arm cores, a Mali-G710 MP7 GPU, and 12 GB of system memory. Early benchmarking using the SPEC suite suggests that 25-50 phones should deliver performance similar to that of a conventional server.

The major challenge, instead, is distributing workloads across multiple devices, each of which has a handful of cores of one or more varieties, and most have 8-12 GB of memory. UCSD researchers are approaching this challenge from a couple of different angles. The first is by targeting applications that can easily fit within a single device. The second is using Kubernetes to orchestrate container deployments across clusters of 25-50 phones. For this to work, the devices first need to be flashed with a Linux operating system suitable for the job. While Android makes for a great handheld experience, it is not intended for server duty. In the blog post, researchers note that Android includes functionality intended to stop rogue applications from chewing up excessive amounts of memory and draining your battery. In server context, these safety mechanisms are no longer necessary.

[Ryan Kastner, an associate professor of computer science at UCSD] told us this was by no means an easy task, but the team has made steady progress toward getting Linux running smoothly on these devices, including support for the phone's onboard GPUs. Access to some functionality, like the chip's integrated tensor processing unit, remains elusive. Clustering these devices will require networking the phones together. Normally these devices would connect over cellular or Wi-Fi, but at this scale, this not only isn't practical, but also has implications for security, he explained. Instead, the team will employ PCBs that both supply power and break out wired Ethernet networking.

The researchers suggest that many EdTech, grading, and research workloads commonly run by universities in the cloud are small enough to run on the cluster without issue. "The vast majority of these applications are within the capabilities of a single smartphone to host, with the standard grading backend running on small cloud instances," a blog post detailing the planned deployment reads. "Early experiments show that even a moderately-sized cluster of 20 phones is capable of supporting peak submission rates for a 75+ student class."

"About 59% of TikTok videos served to a new account's For You feed are AI slop," writes Search Engine Journal, "according to a report from Kapwing, the video creation tool company. That's roughly three times the rate Kapwing found on YouTube." The company manually reviewed over 10,000 TikTok videos across 20 categories and ran a separate fresh-account test, counting AI-generated content in the first 500 For You videos. Kapwing ran the same fresh-account test on YouTube and found that 104 of the first 500 Shorts, or 21%, were AI slop. On TikTok, 294 of 500 For You videos hit that threshold...

Of the 2,000 videos Kapwing reviewed in TikTok's Kids category, 57% were AI slop. That was the highest rate of any category in the analysis. The highest-rate tag was #cartoonkids, where 97 of 100 featured videos were AI-generated. Tags like #cartoons and #babysong both reached 83%, and #forkids came in at 79%. After Kids, the next highest AI slop rates were in Science and Education (35%), Health (33%), and History (33%). All three are categories where visual illustration and voiceover narration make up much of the content.

On the other end, categories where on-camera presence or physical demonstration are central had the lowest rates. Fashion came in at 1.3%, Music at 1.5%, and Fitness at 1.6%.
The article notes that by last November, TikTok "had already labeled 1.3 billion videos as AI-generated, according to the report."

In January a college student posted a video showing him winning $100,000 on Polymarket — one of 145 that appeared to show bets adding up to almost $410,000, reports the Wall Street Journal. "But none of those bets were real."

Instead its creator was "one of dozens of mostly college-age creators Polymarket paid to film themselves making fake trades and sometimes scoring fake wins," the Journal reports, citing interviews with the creators an an analysis of more than 1,100 of their videos: Polymarket built near-perfect copies of its website, then instructed creators to make simulated trades on those dummy sites and hide that they were being paid by Polymarket. To get the videos to go viral, Polymarket has recruited a social-media army to copy and re-post creators' footage. Though the New York-based company has been banned from offering its primary crypto platform in the U.S. since 2022, the social-media creators are paid to specifically target U.S. users, who can still access the site with a virtual private network...

Polymarket hired and worked closely with a marketing contractor to promote the site. In a message reviewed by the Journal, that contractor told its social-media army to repost content made by 10 Polymarket creators in particular... These creators didn't initially identify themselves as paid by Polymarket, although one offered a $20 bonus code in his social-media bio... The company instructed creators not to disclose they are paid, according to creators who have worked with the company. They said the pay often added up to $2,000 to $3,000 a month...

A handful of videos the Journal reviewed also contained short glimpses of URLs indicating the sites were test environments for Polymarket engineers... Creators said they send the finished videos to Polymarket for review. If a video isn't engaging enough, or if it bears obvious signs of being faked, Polymarket will ask for the videos to be reshot, the creators said... Polymarket sends creators bullet-point guidance on what to say, according to creators who have worked with the company and a recruiting website... Polymarket's viral clipping campaign racked up more than 140 million views on TikTok, YouTube and Instagram, according to the analytics provider Tubular...

Internal materials show that Polymarket and Virality promote videos showing how easy it is to conduct insider trades on the platform. Polymarket has paid clippers to promote at least 19 videos discussing opportunities to use inside information or other tactics to manipulate markets.
America's advertising laws "require people who are paid to endorse a product to disclose their ties," the article notes, "although there is some gray area about what's permitted." (After the Journal's investigation, the creators started adding "@polymarket partner" to their bios, the article points out._ And when asked for a comment, Polymarket "said it plans to conduct a comprehensive audit of active promotional content."

The Wall Street Journal reports on internet-connected devices — and how every year millions of them "can contain a secret digital backdoor that opens up access to your home internet, so that anyone... can surf the web as if they were you." (And this is especially true for "knockoffs that you buy online"...)

In a video report this week they tested two digital picture frames from Amazon and three streaming devices from Walmart "because we heard that they often ship with backdoor software used in cyberattacks. Security experts believe manufacturers are being paid to add this malware, but many people also get tricked into downloading the software onto their phones or computers... Within minutes of turning the devices on, there was a surge of internet traffic... Visits to gambling, porn, cryptocurrency and loads of other sketchy web sites started pouring in from users around the world." (And remote visitors also tried to access Outlook and Gmail accounts...)

Residential proxy companies even rent out access to "tens of millions of home networks around the world," according to the report. "But the problem is actually worse than that. Hackers figured out a way to seize control of these backdoors, and they started taking over these residential networks. Last month authorities arrested a 23-year-old Ottawa man, saying he'd taken control of more than a million devices to launch some of the largest cyberattacks anyone had ever seen.."

After a couple months the Journal's reporter collected logs of all the traffic, and sent it to an investigator at Comcast, who said both were conducting DDoS attacks. But estimate for the number of infected devices are as low as tens of millions or as high 500 million-plus. "We've seen nation state attacks launched through these kind of endpoints, which means your device sitting in your house is part of a nation state attack against another nation state... We've seen ad fraud, we've seen ticket scalping, we've seen financial fraud."

But more importantly, "We have seen some of the largest computer attacks — meaning computers attacking other computers at human request — ever recorded in our digital history in the last several months." At cybersecurity conferences, some are warning "there are much larger ones on the horizon if we don't get a hold of this problem."

The company making the picture frame "couldn't be reached for comment," while Amazon said it's been out of stock since last year. Both Amazon and Walmart said they take action when they confirm malware on a third-party product.

CNBC reports: Waymo is recalling almost 3,900 robotaxis in the U.S. to fix software issues after some cars drove into freeway construction zones, according to notices filed with the National Highway Traffic Safety Administration. The voluntary recall, the Alphabet-owned company's second in just over a month, followed 13 known incidents where Waymo robotaxis drove into construction zones on freeways in Phoenix, or entered freeway lanes with active construction in the San Francisco area, the filings published Thursday said... A letter posted to the regulator's website... noted that, "Driving through a closed construction zone increases the risk of a crash..."

[Waymo said in a statement emailed to CNBC] "We voluntarily restricted freeway operations last month while making improvements, proactively notified state and federal regulators, and decided to file a voluntary software recall with NHTSA. We continue to safely serve riders on surface streets in all the cities where we operate...."

The company implemented another voluntary recall in May after some of its robotaxis had driven into flooded zones or standing water. The NHTSA Safety Board also initiated a probe of Waymo after a January incident in which a robotaxi illegally passed a stopped school bus.

Longtime Slashdot reader schwit1 shares a report from Reuters: Meta has lobbied the U.S. Congress for legal immunity from child-harm claims tied to social media products such as Instagram, as it faces thousands of lawsuits from young users and their families, according to a source familiar with the matter and proposed legislative language reviewed by Reuters. If adopted by lawmakers and passed into law as part of the Kids Online Safety Act (KOSA) under consideration in the U.S. Senate, such a provision could undermine thousands of lawsuits against Meta and other online platforms over harms to children. Meta and Google's YouTube face a combined $6 million in damages after they lost the first case at trial early this year. While legislators have given no indication of adopting the language, the lobbying effort shows the kind of legal protections Meta is seeking amid the biggest attempt to regulate online platforms in the U.S. since the 1990s. Meta has reportedly proposed the language in exchange for dropping its opposition to KOSA. Under the law, platforms would be required to mitigate harms to minors tied to features such as infinite scrolling, notifications, and appearance-altering filters.