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 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.

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.

Bloomberg reports the company’s chief operating officer Kumar Galhotra told journalists that Ford had been “relying more and more on automated quality systems” with disappointing results. So the company “brought back technical specialists,” and those specialists “hunt for failure points before a part ever reaches the plant floor.”

Charles Poon, Ford’s vice president of vehicle hardware engineering, added, “Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product.”

The goal is to make drones a “universal combat tool” for all troops by training them to use drones like a “second personal weapon,” said Ahn Gyu-back, South Korea’s Minister of National Defense, in a June 26 briefing reported by Reuters and other media outlets. The announcement coincides with broader plans to equip individual military units with more cheap and expendable drones for surveillance and strike missions, along with deploying more counter-drone lasers and microwave weapons.

Meanwhile, South Korea’s former drone operations command headquarters that used to have direct command authority over combat units will be reorganized to focus on collaborating with South Korean industry on developing and procuring commercial drone technology, according to The Korea Times. The South Korean defense minister specifically cited the conflicts in Ukraine and the Middle East as inspiring such military reforms with a focus on drone technologies… Ukraine’s use of drones and military robots as a force multiplier to offset its numerical disadvantage on the battlefield versus Russia’s larger military may carry special resonance for South Korea, given that the South Korean military’s current active-duty strength of 450,000 personnel faces a numerical disadvantage against North Korea’s active-duty military consisting of more than 1.2 million soldiers…

The defense ministry is starting out by providing 11,000 “training drones” to military personnel this year, with the goal of eventually deploying 60,000 drones across the military by 2029. An additional complication comes from the South Korean military looking to procure drones with 100 percent domestically produced components and no Chinese components due to security concerns, according to the defense minister’s comments reported by Reuters… South Korean companies are building new military attack drones, but the defense ministry may struggle to find enough commercial drones made without Chinese components to train hundreds of thousands of military conscripts, said Min-Cheol Jung, a cofounder of the Team Retriever counter-drone red team based in South Korea, in a War on the Rocks article.

[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.”

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.”

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.

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.

While the Voyager flyby confirmed the planets’ classification as ice giants… [a]s the least explored planets in the solar system, the two planets have never been thoroughly investigated. Therefore, scientists aren’t sure where the planets originally formed in the early solar system or the reason for their wildly chaotic magnetic fields. A long-standing hypothesis suggests that both worlds have a hydrogen/helium atmosphere that covers a vast mantle of ices, made primarily of water, ammonia, and methane, with a rocky core. The new study, however, notes that the three-layer model of an ice giant’s interior structure is not the only way to explain the properties of the two planets.

The researchers also point out that objects found in the Kuiper Belt, which are thought to preserve evidence of the material in the outer Solar System where Uranus and Neptune formed, are primarily composed of rock rather than ice. For the recent study, the researchers simulated different models for the interior processes and composition of Uranus and Neptune. The model that best fits Uranus’s and Neptune’s different properties suggests the two planets have a well-mixed magma ocean with dissolved hydrogen at the bottom and a hydrogen-dominated envelope at the top. The model suggests that at high pressures, hydrogen gas can dissolve into magma, forming a well-mixed fluid. This mixing might help explain Uranus’s and Neptune’s density, which has traditionally been interpreted as evidence for an ice-rich interior.

“Trusted climate information should not disappear when politics change,” Climate.us managing director Rebecca Lindsey said of the new platform in a press release. Lindsey, who previously served as the Climate.gov program manager and lead editor, told The Register in an email that she and one of the web developers responsible for the site were the first to be caught up in government purges when DOGE swept through the department in late February 2025… Created in cooperation with sustainability nonprofit accelerator Multiplier, Climate.us aims to be an independent alternative to its old .gov, and many of the former NOAA crew behind the previous website have teamed up for the new initiative to “keep climate information accurate, accessible, scientifically rigorous, and useful for the people who rely on it.”

Climate.gov, which now redirects to a NOAA page about climate but which hosts none of the data the shuttered site used to contain, was taken offline in July 2025 following a Trump executive order prioritizing “gold standard science....” arguing that prior climate science models relied on worst-case scenarios, which somehow meant the public availability of 15 years of climate data and reporting ought to change…

All of the content that was purged from the .gov is now back, along with blogs from experts, climate status reports, maps and data pathways, and national assessments of climate change as well. Lindsey told us that rapidly changing political winds have led her to believe that the government isn’t the right place for that mission to continue, and that she would have concerns about returning the site to federal management if a future administration changed its position on climate change… Lindsey said that the Climate.us team will continue with the same mission it had before the Trump administration attempted to quash it: Getting climate science in front of the public in a manner that’s understandable so they can make their own decisions about how to respond.

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.”

The support from the Spanish Society for Technological Transformation (SETT) comes a year after the fund injected 14 million euros into Spain’s Sateliot , which is also developing a satellite connectivity network with security and defense applications. Spanish private investment firm Kibo Ventures led FOSSA’s funding round, the six-year-old venture announced June 24, bringing its total raised to date to nearly 20 million euros.

The proceeds will help fuel FOSSA’s push beyond the tiny picosatellites it once used to connect low-power monitoring devices toward larger cubesats in low Earth orbit, enabling additional sovereign communications and space-based intelligence capabilities… The company’s funding round follows a wave of investments this year in European ventures planning to develop sovereign space capabilities, including Austrian propulsion startup Gate Space, which secured 6.3 million euros earlier this month from a European Commission-backed accelerator program.
“Our goal is to establish FOSSA as a European benchmark in sovereign space infrastructure,” said Julián Fernández, FOSSA’s CEO and cofounder.

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.”

In some cases, thieves may pilfer one or more checks from local mailboxes. Adam Rust, director of financial services for the Consumer Federation of America, said thieves sometimes “fish” for checks at free-standing drop boxes, using long tools with sticky pads on the ends to grab letters. In other cases, more sophisticated criminals may steal large batches of checks, copy them and then sell them on the internet. Often, the purloined checks are chemically altered in what’s known as “check washing” to remove the name of the recipient. The thief replaces it with a fraudulent name, and often increases the amount of the check, before cashing or depositing it.

Schwab’s “security guarantee,” outlined on its website , says that “Schwab will cover losses in any of your Schwab accounts due to unauthorized activity.” But fine print at the bottom of the page notes that reimbursement “requires your timely reporting of unauthorized activity to Schwab,” and that Schwab “will not be liable for additional or increased losses resulting from a failure to report unauthorized activity in a timely manner.” It notes that more details are available in account agreements… Notify your bank as soon as possible, said Scott Anchin, senior vice president of strategic initiatives and policy at the independent bankers association. Banks generally allow at least 30 days and sometimes up to 90 days from the time your statement is made available to you to report suspected check fraud, he said.

If you must write a check, he said, try to deliver it in person or take it inside a post office to mail rather than relying on your own mailbox or public drop boxes. The American Bankers Association recommends using permanent “gel” ink pens when you do write checks to reduce the risk of tampering… And if you don’t already, consider using your bank’s online bill payment service.

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.

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.