An anonymous reader quotes a report from Ars Technica: Reddit will start requiring people to be logged into Reddit to use old.reddit.com. The new requirement will take effect "over the next month," a Reddit employee going by the username boat-botany announced on the social media platform today. The person claimed that the change is part of an ongoing effort to "tighten how automated systems access Reddit."

The Reddit employee wrote: "Old Reddit's logged-out experience is a significant source of abusive scraping and automated traffic on the platform. It's also an important interface for many long-time mods and Redditors. To strike the right balance between preserving your access to Old Reddit while preventing abusive scraping and automated traffic, over the next month we will start requiring everyone to log in."

In a follow-up comment, boat-botany defined abusive behavior as that which violates Reddit's rule prohibiting activity that interferes with the platform's "normal use" or that "create[s] programs or applications" that break Reddit's (controversial) API rules. "By logging in, we get a lot more signal that allows us to detect whether an account is breaking the rules, and then we can block that traffic or enforce those accounts," boat-botany said. Asked why boat-botany scrapes New Reddit less frequently than Old Reddit, the Reddit employee pointed to another commenter's explanation. "[T]he shape of malicious traffic is always changing," the user, Nestramutat, wrote. "It's going to be a constant cat and mouse game[.] As you ban one method, a new one gets developed. It's easy to see abusive traffic in hindsight, but it's harder to pre-emptively block it. Given that they're claiming Old Reddit doesn't have the modern security stack, this is likely proving to be an even greater challenge."

Nestramutat said that the login requirement will add a barrier against threat actors. "You're also now attaching an account ID to every malicious request, plus account creation is only available on New Reddit (with the enhanced security stack)."

As for how long Old Reddit will exist, boat-botany left the door open for its retirement. "We can't promise it will be around forever, but [Reddit CEO Steve Huffman] himself has said we'll keep supporting it while folks are still using it," boat-botany wrote. "That said, it doesn't have the same modern security tech stack reddit.com has, so we need to tighten security on old reddit to keep it viable."

A federal judge rejected Meta's bid to dismiss claims from 29 state attorneys general alleging that Facebook and Instagram were designed to addict children while concealing the harms. The judge found significant factual disputes that must be decided at trial. They also ruled that Meta failed to comply with federal parental notice and consent requirements for children under 13, "and granted summary judgement to the states on that issue," reports Reuters. From the report: In a separate statement, California Attorney General Rob Bonta called the decision a "critical win" in holding Meta accountable for fueling a mental health crisis among American children. Gonzalez Rogers also oversees related multidistrict litigation by more than 2,600 individuals, school districts and local governments over whether social media platforms such as Facebook, Instagram, Google and YouTube, Snapchat and TikTok addict children.

The states said research has shown that children's use of Facebook and Instagram could lead to depression, anxiety, insomnia, interference with education and daily life, and self-harm including suicide. Meta countered that the attorneys general had no evidence it misled consumers about its platforms' alleged addictiveness, including in congressional testimony by Chief Executive Mark Zuckerberg. The Menlo Park, California-based company said this was because "social media addiction" is not an established psychiatric condition, and therefore statements that its platforms are not addictive could not be false. Meta also said it didn't violate the children's online privacy law because it directed Facebook and Instagram to a general audience, not just children under age 13.

In a 38-page decision, Gonzalez Rogers found material factual disputes over whether Meta's social media platforms are addictive, whether Meta falsely denied it designed them that way, and whether it "partially" directed the platforms at children. "The AGs present a reasonable interpretation of [Meta's] statements that Facebook and Instagram are not designed in ways that cause teens to compulsively use the platforms to their detriment," the judge wrote. "To the extent plaintiffs' evidence shows that the platforms are in fact designed to do just that, a jury could reasonably find the statements were untrue to a reasonable person," she added. A trial over California, Colorado, Kentucky and New Jersey's claims against Meta is scheduled for August 18, court records show. Further reading: Will Social Media Change After YouTube and Meta's Court Defeat?

An anonymous reader quotes a report from Ars Technica: South Korea's government and top tech companies are committing $1 trillion to several flagship megaprojects that could bolster global memory chip supply, build new AI data centers and spur commercial deployment of humanoid robots by 2028. [...] "We must secure the core elements of AI faster than any other country," said South Korean President Lee Jae Myung in a televised speech on June 29, as reported by BBC News and other media outlets. "Semiconductors, physical AI, and AI data centers are the triple axis for a great leap forward." [...]

The most costly of the megaprojects involves Samsung and SK Hynix committing $585 billion to building new chip fabrication plants in the southwest provinces of South Korea, along with boosting semiconductor fab construction in the Seoul capital region, according to Reuters. The government's goal is to double South Korea's production of dynamic random-access memory (DRAM) within five years. [...] The second flagship megaproject involves a $357 billion investment by the South Korean tech companies SK Group, GS Group, and Naver into building large-scale AI data centers in more outlying provinces, including South Chungcheong Province in the west, Gangwon Province in the east, and the North and South Jeolla Provinces in the southwest corner of South Korea.

The third flagship megaproject revolves around the South Korean government assigning a "national strategic industry" designation to physical AI -- the AI systems that enable robots and self-driving vehicles to interact more autonomously with the real world. The government aims to develop a Korean "general-purpose foundation model" based on a world model to support robots within three years, according to The Chosun Daily. Hyundai Motor Company has also committed $5.8 billion to build a robot manufacturing facility and AI data center in the Saemangeum region of North Jeolla Province in the southwest, The Chosun Daily reported.

The South Korean automaker has already been helping Boston Dynamics -- the US robotics company it acquired in 2021 -- use the South Korean supply chain in scaling up manufacturing to produce 30,000 Atlas humanoid robots each year by 2028. Similarly, the South Korean government announced it would aim to commercialize humanoid robots in 10 major industries by 2028, along with training 10,000 human workers as "AI robotics specialists" over the next five years, Reuters reported.

The U.S. Supreme Court ruled 6-3 (PDF) in Chatrie v United States (No. 25-112) that geofence warrants sweeping up smartphone location data constitute searches under the Fourth Amendment. The Court found that individuals have a "reasonable expectation of privacy" in such data, even when the tracking covers only a brief period or records movements in public. "An individual has a reasonable expectation of privacy in records about his cell phone's location, and police intrude on that constitutionally protected interest when they demand the information -- even though for only a limited time, and from a third-party tech company," wrote Justice Elena Kagan. Longtime Slashdot reader schwit1 submitted the story. The Guardian reports: The use of geofence warrants is widespread, and gives law enforcement agencies the power to compel tech companies to hand over sensitive cell phone data from people at or near crime scenes. The warrants allow police and the FBI to collect this information from individuals within the radius of a virtual "fence" during a particular timeframe. But they are not restricted to requesting data for precise targets.

The Chatrie case focuses on local police's pursuit of an armed bank robber in Richmond, Virginia. He fled with $195,000. Law enforcement tracked Okello Chatrie down through their use of geofence warrants. Chatrie had opted in to an optional Google "location history" feature that documented his location every few minutes. He was eventually sentenced to 12 years in prison, after pleading guilty. Chatrie's lawyers argued that this search was overly broad and violated his fourth amendment rights, which protects individuals from "unreasonable search and seizure." Lawyers said that police's use of geofence warrants amounted to an official "search" under the fourth amendment, and didn't meet the constitution's requirements for one.

The government had argued that accessing only a short amount of cellphone location information means this tactic does not count as a fourth amendment search and accordingly, should not be afforded the same privacy protections. But the judges in the majority disagreed. The judges in the majority opinion also wrote that the government's characterization of generating location history as a voluntary choice is "meritless." They suggested that people aren't choosing to share private information with third parties and the government "just by doing the ordinary thing cellphone users do." "The point of carrying smartphones is to use what is on them," including the apps and services they provide -- many of which use location data to customize a user's experience, they said.

[...] While the majority opinion noted that police conducted a fourth amendment search by accessing Chatrie's location history data, they noted that the court of appeals will weigh in on whether the "search was reasonable, meaning that each of its steps was properly described with particularity and found to be supported by probable cause." Law enforcement has said they need geofence warrants to find suspects and witnesses -- after reaching dead ends. The US government, for its part, has argued that people can't have a "reasonable expectation of privacy" when they are in public and have allowed a third party company, such as Google, to collect and analyze phone location data.

Slashdot reader joshuark summarizes this walk down memory lane from the tech site MakeUseOf: Facing real competition from Digital Research's DR DOS, Microsoft secretly embedded a sabotaging mechanism known as "AARD code" into beta versions of Windows 3.1 to prevent it from running on Digital Research's competing DR DOS operating system.
This code triggered fake, alarming error messages to convince developers that DR DOS was unstable... Although Microsoft disabled the feature in the final retail release, the California-based firm Caldera, Inc., which had acquired DR DOS assets, sued Microsoft for anti-competitive practices.
Microsoft settled the lawsuit out of court in 2000 for $280 million, a figure that remained sealed until it was unsealed in 2009.

"Amid growing public anger over A.I. and a debate over how to regulate it, a group of employers, state governors and foundations has raised $500 million to try to answer some of those questions themselves," reports the New York Times.

"Just how many jobs will AI upend?" asks the Wall Street Journal, reporting that the new coalition says it's time to ready the U.S. workforce for a "major" disruption — no matter how large it turns out to be. The coalition "has so far raised more than $500 million — about half of its multiyear goal — from companies and nonprofit groups. It will initially work with state governments in Arkansas, Maryland, Utah and Connecticut. OpenAI and Anthropic are also involved, and academics including MIT economist David Autor sit on an advisory board." [The new "RAISE US" coalition] will be led by former Commerce Secretary Gina Raimondo, who served under former President Joe Biden, and former Indiana Gov. Eric Holcomb, a Republican. Its mandate, they said, isn't just to build retraining programs but also to reconsider decades-old policies such as unemployment insurance and act as a working lab for testing the most effective ways to transition workers to new fields. The group will explore corporate incentives for employers to hold on to workers whose jobs are disrupted by AI and prep them for new roles... The mission of the group is to "pull all the levers at once," Raimondo said. That means teaming up with employers to find ways to help workers gain skills or new roles and joining with educators to roll out different types of training. It also plans to propose policy changes such as tweaking unemployment benefits to let displaced workers continue to get them while they, for instance, start new businesses with AI... In Maryland, the group plans to expand a service-year option in the state to help people gain exposure to such growing fields as healthcare. An effort in Arkansas will focus on supporting "an AI-powered career navigation platform."
More from New York Times: The organization will work primarily with governors... The theory: States generally control their community college systems, which can translate work force policy through course offerings and industry partnerships. The bulk of the budget will fund pilot programs overseen by about 15 staff members and consultants. For example, Maryland will expand a "service year" for recent high school graduates to provide experience in fields where there are shortages, such as health care. In other states, Raise Us hopes to offer "wage insurance" for workers who take lower-paying jobs rather than dropping out of the work force entirely.

The group plans to furnish technical assistance for companies that want to retain workers as A.I. changes their roles, rather than eliminating them. Microsoft, one of the companies backing the organization, said it had already found a promising model: cross-training its entry-level lawyers in different parts of the organization and equipping them with A.I. skills in order for them to be repositioned as technology evolves. "You can think of doing that with almost any job we have," said Brad Smith, vice chair and president at Microsoft. "It creates an opportunity to transfer people from jobs that are being eliminated to jobs that are being created...."

Ms. Raimondo and her colleagues are not fans of a universal basic income, an idea that has gained popularity in Silicon Valley as an answer to job disruption. They emphasize that work provides more than just wages, and plan to focus on helping people find pathways to new jobs. But it's unclear whether A.I. will create jobs at the rate that it will destroy them. Jack Malde studied work force policy for the Bipartisan Policy Center and is now going to work for the Windfall Trust, another A.I.-focused think tank. He said long-term income support might be necessary, even if better models for transitioning workers were found. "The truth is, there's still a lot of uncertainty," Mr. Malde said. "What we think is resilient now might not be resilient later. We're not going to get everything right, so we're going to need those strong safety-net programs."
Long-time Slashdot reader theodp writes: If you think you've seen this movie before, prior to "partnering with governors, employers, and training partners to help the American workforce make a successful transition to an AI economy" with RAISE US, Raimondo and Holcomb partnered with governors, employers and training partners to help U.S. K-12 students make a successful transition to a CS economy with the Governors for Computer Science coalition.

IBM has unveiled "what it says is the world's first sub-1-nanometer chip technology," reports ZDNet, "designed to pack nearly 100 billion transistors on a fingernail-size die, roughly doubling the density of IBM's earlier 2-nm test chip, first shown in 2021... Today, the smallest, most powerful chips top out at about 80 billion transistors." At the heart of the announcement is NanoStack. This is a three-dimensional, nanosheet-based transistor design that scales vertically, or along the z-axis, by stacking and staggering CMOS devices. Unlike today's nanosheet architectures, which IBM also pioneered and which are being adopted by leading foundries at 3 nm and 2 nm, NanoStack bonds two nanosheet transistors into a single vertical structure, with each tier optimized independently and contacted from opposite sides. Each transistor in the demonstrated structure uses three sub-5 nm-thick nanosheets, about "15 silicon atoms" across, separated by roughly 9 nm spacers. Two such devices are then bonded vertically using an ultra-thin dielectric process IBM describes as a key innovation. Because the top and bottom devices can use different channel materials, dielectrics, and metals, IBM argues NanoStack is less a single trick and more a transistor platform that can be extended through multiple generations: 7 angstrom (Å), 5 Å, 3 Å, and potentially down to 1 Å in its internal roadmap.

An angstrom, by the by, is one ten-billionth of a meter. In terms of chips, an angstrom is a tenth of a nanometer. "This is the world's first sub-1 nanometer chip technology with a new transistor architecture," said Jay Gambetta, Director of IBM Research and IBM Fellow, during a press briefing. "We're not just making smaller transistors, we're reinventing how chips are built to deliver dramatically more power and energy efficiency...." Based on internal benchmarking against its 2 nm node, the company said its new chips will deliver up to 50% higher performance at the same power, or up to 70% lower power for the same performance. Big Blue also highlighted a 40% improvement in the scaling of static random-access memory (SRAM) cell area relative to its 2 nm technology.

This is a change IBM described as a "step the industry hasn't seen in over a decade" and one that could be particularly important for AI accelerators that live or die on on-chip memory bandwidth... According to Huiming Bu, IBM's VP of silicon technology R&D, NanoStack is a new paradigm. It's moving chips to scaling fully into three dimensions and giving the industry at least "another decade" of logic advances as it crosses from nanometers into angstroms... The 40% SRAM density bump could also help architects push caches and on-die memory closer to compute units, cutting data movement overhead in training and inference workloads.
IBM sees a path to production use "in as early as the next 5 years", according to the article, and "expects NanoStack to eventually underpin CPUs, GPUs, mobile SoCs, and SRAM arrays."

IBM's VP of silicon technology R&D says the new innovation "can improve performance by 50% compared to the best available chip today, and at the same time can reduce power by 70%."

The New York Times alleges Microsoft actively encouraged OpenAI to steal its copyrighted work, reports Ars Technica, citing a new (and heavily redacted) court filing Thursday: NYT's motion comes after the [U.S.] Supreme Court sided with Cox Communications in a case where Sony tried and failed to claim that Cox was contributing to music piracy as an Internet service provider, which set a new standard for contributory infringement. Moving forward, plaintiffs will have to prove that parties intentionally acted to induce illegal conduct. Recognizing that the legal precedent has changed, the NYT now wants to amend its complaint to align its contributory infringement claim against Microsoft with that new standard... A Microsoft spokesperson told Ars that the company views the amended complaint as "a last-ditch effort by the plaintiff to save its claim from unfavorable precedent set in other recent rulings..."

The updated complaint seeks to specify that [Microsoft's] supercomputer was tailor-made to help OpenAI infringe and allege that it was built for the explicit purpose of training AI on copyrighted works without permission. And as the NYT alleged, its articles were more heavily weighted by this system, as both firms hoped to train models on the highest-quality journalism possible, so that level of writing could be confidently mimicked in outputs. By building this "unusually complex" machine, Microsoft not only helped select the works that were infringed but also provided a means to seize copyrighted works without permission, the NYT alleged. "Microsoft specifically designed it for the purpose of using essentially the whole Internet — curated to disproportionately feature Times Works — to train the most capable LLM in history," the NYT alleged... Similarly as problematic for the NYT are hallucinations where Microsoft and OpenAI models falsely cite the NYT for content that they never published... "Users who ask a search engine what The Times has written on a subject should be provided with neither an unauthorized copy nor an inaccurate forgery of a Times article, but a link to the article itself," the NYT alleged...

In a statement provided to Ars, OpenAI spokesperson Drew Pusateri reiterated the AI firm's often-repeated claims that AI training on copyrighted works is indisputably fair use... OpenAI has argued that "ChatGPT is not a substitute for a Times subscription," the NYT reported, partly because "they transformed the material for a different use."
An OpenAI spokesperson told Ars Technica that OpenAI's models "empower innovation," while a New York Times spokesperson insisted that Microsoft "actively encouraged OpenAI to steal our copyrighted works... [O]ur core claims remain the same from the day we filed this lawsuit — that Microsoft and OpenAI stole millions of The Times's copyrighted works to compete with our products and illegally enrich themselves."

The article speculates that the case's most extreme outcome "could require OpenAI and Microsoft to wipe models and start over. The NYT has also asked for permanent injunctive relief to prevent future infringement, as well as extensive damages..."

Chinese AI systems "have matched the performance of Anthropic's powerful model Mythos in some cybersecurity scenarios," reports the Wall Street Journal.

They call it "a development poised to reset the global tech race and pressure the White House in its overhaul of U.S. AI policy." Security researchers said that a new AI model, released this month by China's Zhipu AI, also known as Z.ai, can match the latest U.S. models when it comes to finding security bugs, although it still lags behind Anthropic's and OpenAI's products in other tasks. Overall, the capability gap between top U.S. models and those built by Chinese companies has narrowed significantly, and use of Chinese AI systems has surged as businesses seek to rein in runaway costs. A host of companies, including Microsoft, are weighing how they can offer Chinese models on their platforms, a development that is set to alter the balance of power among tech companies...

Unlike models from Anthropic or OpenAI, Zhipu's GLM-5.2 is open-weight. That means it can be downloaded and run on hardware operated by anybody and can be modified and used without supervision. Open-weight models are ideal for users who want unfettered access to systems they control, but they are also ideal for hackers, who can run them in the shadows. GLM-5.2 has ranked as one of the 10 most-used AI models, according to data from OpenRouter, a company that provides access to more than 400 AI models. In some benchmarking tests, according to the cybersecurity company Semgrep, GLM-5.2 bested Anthropic's Claude Opus 4.8 model, which was released in May. When given further instructions, Opus 4.8 and GLM-5.2 can match Mythos in bug-finding ability, according to researchers...

"Banning Fable while selling chips China needs to develop its own version is a gift to China," said Saif Khan, a distinguished technology fellow at the Institute for Progress think tank who worked on export restrictions in the Biden administration. The U.S. needs to maximize the use of Mythos and comparable models to harden its cyber defenses while it can, he added. Among the Mythos 5 and Fable 5 users that had lost access before Friday's decision to restore Mythos 5 access for some trusted entities: the National Security Agency, which had been testing the tools and found them impressive in trials, according to people familiar with the matter... "It is incentivizing companies across the globe to use cheaper but very capable Chinese open-weight models, while at the same time undermining the U.S. AI industry," said Niels Provos, a researcher who led security teams at Google and Stripe. "I don't understand it."
Thanks to long-time Slashdot reader schwit1 for sharing the article.

America's Bureau of Alcohol, Tobacco, Firearms and Explosives has "canceled its contract for a surveillance tool that enables warrantless tracking of mobile devices," reports the Associated Press.

They note the move comes "after lawmakers, a prosecutor and a judge raised concerns about the legality of the tool in criminal investigations." ATF, the federal agency responsible for enforcing the nation's gun laws, told The Associated Press that it discontinued what it called a "pilot" program using a tool called Webloc after Rep. Michael Cloud, a Republican from Texas, and Sen. Ron Wyden, a Democrat from Oregon, expressed reservations about the agency's use of bulk commercial location data. Webloc, which is made by a vendor called Penlink, sources data from consumer apps and advertising networks, which collect the location of mobile devices from consumers who download apps or browse the web...

The U.S. Supreme Court ruled in 2018 that police needed a warrant to obtain historic movement data from cellphone companies on a criminal suspect. But it has never addressed the growing practice of commercially acquired data.

Other users of Webloc include the U.S. military and U.S. Immigration and Customs Enforcement but also local law enforcement agencies such as police in places like Elk Grove, Calif. and Durham, N.C. The technology has also expanded around the world, with the national police in El Salvador and Hungarian intelligence agencies as customers, according to a report from earlier this year from Citizen Lab, a group of researchers at the University of Toronto who investigate digital threats to civil society.
The article notes that other U.S. law enforcement agencies continue to buy commercial geolocation data, "including the FBI and the Department of Homeland Security."

Students are using AI-powered smart glasses to cheat on tests, reports CNN. "And in East Asia's test-obsessed societies, where a single exam could impact the trajectory of a student's future career and social status, educators are scrambling to get ahead of the problem." Already, countries are stepping up inspections for test-takers. For China's grueling annual college entrance exam earlier this month — which more than 10 million hopefuls take each year — authorities required screening of all glasses. In the United Kingdom, the head of England's exam watchdog warned earlier this month that AI glasses and smart devices like earpieces could worsen cheating in exams... [T]wo incidents in South Korea were the country's first reported cases of cheating with AI glasses... In Taiwan, the university where a prospective student was caught cheating is now reviewing rules and standard operating procedures for AI eyewears during examinations.

But experts worry these individual cases point to a more widespread issue. "If we're seeing a few cases being reported, we're seeing a lot more cases not being reported," said Thomas Corbin, lecturer at Deakin University in Australia, who has conducted research around the usage of AI-powered glasses and other smart devices in academic assessment. With the rapid development of AI technology, however, smart glasses are becoming slimmer, less noticeable, while integrating AI models that can operate independently with connectivity, raising concerns not only about exam integrity, but also about broader privacy risks... "Wearable AI is as much of a challenge to exams as ChatGPT was to essays in 2022 and I just don't think there is any real way that we can reliably have exam practices moving forward," Corbin said.

When Mt. Vesuvius erupted in 79 A.D., it buried hundreds of papyrus scrolls. They were rediscovered in the mid-1700s, remembers Smithsonian magazine, "the only surviving collection of its kind from the Greco-Roman world..."

"But when scholars tried to unroll them, the carbonized manuscripts crumbled to dust." Every generation that followed faced the same dilemma: They could wait for technology to advance, abandoning hope of reading the ancient texts in their own lifetime. Or they could try to open the scrolls themselves — and risk destroying them.

In recent years, researchers have settled on a third option. Using advanced imaging and artificial intelligence, they're deciphering the scrolls without needing to unroll them at all.

The Vesuvius Challenge has accelerated the process by turning it into a public competition, complete with cash prizes. In 2023, a student won $40,000 for deciphering a single word — "purple" — from an unopened scroll. Later, contestants would identify 2,000 Greek characters from one scroll ($700,000) and the title of another ($60,000). Now, for the very first time, researchers have recovered all surviving text from a single scroll. The nearly five-foot-long segment includes roughly 20 columns of ancient Greek philosophy, accessible for the first time in nearly 2,000 years.
"The tech actually does look like magic, but it's not," Brent Seales, a computer scientist at the University of Kentucky, said at a press conference. (The article points out that Seales partnered with two Silicon Valley investors in 2023 to launch the Vesuvius Challenge, and is now hailing "the restoration of lost voices from the ancient world." Seales has been working on virtually unwrapping the scrolls since the early 2000s. The process involved imaging the bundles of papyrus using technology similar to CT scanners, isolating thin layers and then stitching them together.... "We've developed a systematic and a repeatable approach," Seales told the audience. "Now it's only a matter of time until we read all of the scrolls."

"The US government has allowed Anthropic to release its powerful Mythos AI model to select companies and organizations," reports CNN, "revising license requirements after ordering an export block earlier this month in the wake of national security fears." Since the export ban earlier in June, "Anthropic has worked with the US government to address risks associated with the Covered Models," Commerce Secretary Howard Lutnick wrote to the company in a letter dated Friday. In light of progress in that work, Lutnick wrote, "I have determined that appropriate safeguards are in place to permit certain trusted partners to access the Claude Mythos 5 Model."

The letter does not include permission for Anthropic to release Fable, a less powerful version of Mythos. "We received notice from the US government that Mythos 5, our strongest cybersecurity model, can be redeployed to a small group of cyber defenders and infrastructure providers," Anthropic said in a statement...

Conversations between Anthropic and the government are expected to continue into the weekend, with an eye to restoring access to Fable, as well, a source familiar with the discussions told CNN.

Microsoft has quietly extended free Windows 10 security updates for consumers by another year, pushing the Extended Security Updates (ESU) program's end date from October 12, 2026, to October 12, 2027. "The ESU support page was updated with that date, and Microsoft's blog post on the program has a new editor's note confirming the change," reports Ars Technica. From the report: The prevalence of Windows across so many devices and form factors has given Microsoft a massive customer base for decades, but it has also stymied the company's efforts to roll out new operating systems. Microsoft famously extended the support window for Windows XP numerous times throughout the 2010s as it became apparent that millions of PCs would never be updated. Windows 10 isn't quite as entrenched as XP was, but it has still been a slog getting people to upgrade to Windows 11 even nearly five years after release.

Unlike many past Windows updates, Windows 11 required some users to buy new PCs with specific CPU technologies and a Trusted Platform Module (TPM). Microsoft was widely criticized for excluding perfectly serviceable PCs, and that's turning into a problem in 2026. The AI-driven shortage of storage and memory has made system upgrades vastly more expensive, potentially slowing upgrades. Some have also avoided Windows 11 due to Microsoft's intense focus on AI features.

The result is that Windows 10 remains stubbornly popular. According to StatCounter data, Windows 10 is still running on about 26 percent of PCs, while Windows 11 sits at 72 percent. That means there are still hundreds of millions of active Windows 10 installs, but those machines will be up to date for at least an additional year.

Apple has sharply raised prices across its Mac, iPad, HomePod, and Apple TV lineups as surging AI-driven demand creates a global memory and storage shortage. Increases range from $30 for the HomePod mini to $1,300 for the M3 Ultra Mac Studio, with Apple CEO Tim Cook saying efforts to shield customers from higher costs had become "unsustainable." The Verge reports: On Thursday, the company adjusted the price of its new MacBook Neo, which will now start at $699 instead of $599, while the base MacBook Air will jump to $1,299 from $1,099, as reported earlier by Bloomberg. The 14-inch MacBook Pro is getting an increase as well, going from $1,699 to $1,999. Meanwhile, the iPad Air will now start at $749 instead of $599, while the iPad Pro is increasing to $1,199 from $999.

As spotted by MacRumors, the M4 Max Mac Studio will now cost $2,499, a big jump from $1,999. The M3 Ultra Mac Studio is now priced at $5,299, up from $3,999. Apple is even raising the prices of its HomePod, which now costs $349 instead of $299, as well as bumping the price of the HomePod mini to $129 instead of $99. The Apple TV also now costs $199 instead of $129.

An anonymous reader quotes a report from Ars Technica: Anthropic has accused the Chinese firm Alibaba of launching the largest attack yet attempting to clone Claude, as China races to match the capabilities of Anthropic's leading model following Mythos' release and subsequent restriction from foreign markets. Ars obtained a June 10 letter sent to Senators Tim Scott (R-S.C.) and Elizabeth Warren (D-Mass.) one day ahead of a Senate committee hearing on "AI and the American Dream." In the letter, Anthropic shared "new, confidential evidence of the largest campaign to illicitly extract Claude's capabilities we have ever measured."

The attacks occurred between April 22 and June 5, when "operators afliated with Alibaba and Alibaba Qwen, Alibaba's AI lab" allegedly generated "more than 28.8 million exchanges with Claude through almost 25,000 fraudulent accounts," Anthropic said. Violating Claude's terms of service and access restrictions, this campaign "targeted some of Claude's most valuable capabilities, such as agentic reasoning, software engineering, and long-horizon tasks." According to Anthropic, Alibaba evaded detection by "using obfuscation techniques and proxy networks." As Chinese demand for reliable obfuscation techniques increases, Anthropic warned there's already "a growing circumvention economy" to fuel an ever-expanding web of future distillation attacks. [...]

"Alibaba is governed by an independent board, none of whom has any military affiliation," Alibaba said. "Its products and services are built for retail, logistics, and enterprise information technology -- not weapons, defense, or intelligence." Anthropic appears unconvinced, however, that Alibaba isn't working with the Chinese government. In the letter, Anthropic warned that without stronger interventions, these distillation attacks will "help China reach Mythos Preview-level capabilities sooner."

To keep the US ahead of China, Anthropic recommended that Congress pass legislation with three objectives. First, antitrust laws must be updated to allow AI firms to share information about evolving Chinese tactics to deter more threats. Second, the US needs more export controls on chips to hamstring Chinese access to advanced compute so that they simply can't train on US model outputs. That could make conducting distillation attacks pointless, Anthropic suggested. Finally, Congress should pass laws penalizing Chinese labs' "bad behavior" so that it's "more difficult and costly" to rely on distillation attacks to advance Chinese models. Penalties could include limiting Chinese firms from accessing US models or advanced US chips or from relying on data centers outside of China, Anthropic suggested.

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.

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.

An anonymous reader quotes a report from Barron's: Walmart is signing a long-term contract to buy nuclear power for the first time ever, a promising sign that the industry's future is supported by more than just the AI data center boom. The retail giant agreed on Tuesday to buy power from a nuclear plant in Illinois owned by Constellation Energy for its operations in the area, including its stores and a high-tech warehouse in Illinois that stores and sorts perishable food.

Walmart will buy 176 megawatts of power from the plant over a 15-year period, or enough power to serve around 150,000 homes. The Walmart deal will allow Constellation to expand the capacity of the Illinois plant by 30 megawatts, a process known as an uprate, which can involve replacing older equipment and improving efficiency. Walmart, which has pledged to eliminate net carbon emissions from its U.S. operations by 2040, will also receive the environmental attributes associated with the nuclear energy, which generates electricity without carbon emissions. Further reading: Trump Admin Announces $17.5 Billion In Loans For 10 New Large Nuclear Reactors