The Information didn’t name the manufacturer, but its sources described the operation as having pulled DUV development teams from several Chinese companies, one of them the state-backed startup Shanghai Yuliangsheng Technology. SMIC has been testing a Yuliangsheng immersion tool since September 2025. Most components in the new systems are domestic, though some critical parts still come from Japan, and delays at local suppliers have held back output this year.

[…] China accounts for around 20% of ASML’s net sales this year, down from 33% in 2025, driven mainly by mainstream logic demand… Independent analysis from the AI Futures Project in June put commercial-scale Chinese immersion DUV in the mid-2030s, with ASML holding 98.7% of the immersion market. Qualifying the new machines for production lines could take many months, and they trail ASML’s tools on performance and build quality. China’s domestic EUV effort, which Reuters first reported as a working prototype in December, remains years away.

OpenAI’s ChatGPT is now refusing requests to generate text that directly mimics the style of famous authors. When asked to do so, the popular LLM instead offers a response that draws on the “broad qualities” of those authors “while remaining distinct in its own voice,” for example. This morning, Ars received the following response to a test prompt asking for a story introduction in the style of Stephen King: “I can definitely write with the hallmarks of atmospheric, character-driven horror and small-town dread, but I can’t write in Stephen King’s exact style or closely imitate his distinctive voice. Here’s an original opening that captures a similar feeling while remaining its own…”

In testing, ChatGPT generated similar dodges for other authors both living (J.K. Rowling, Amy Tan) and dead (Charles Dickens, Ernest Hemingway). An analysis published by No Latency earlier this month (PDF) found the same behavior for living authors but found ChatGPT complied with style-copying requests for deceased authors. In refusing to directly copy the “exact style” of various authors, ChatGPT offered instead to capture an overall “feeling” by incorporating some of the common features found in those authors’ work. That may seem like a distinction without a real difference at first glance. But the slight alteration could be legally important as OpenAI continues to fight a number of lawsuits brought by book authors alleging large-scale copyright infringement by models trained on their work. One of those suits specifically cites ChatGPT’s “uncanny ability to generate text similar to that found in copyrighted textual materials,” for instance. An OpenAI spokesperson did not respond to a request for comment from Ars Technica.

In the US, copyright law generally protects only a specific expression of an idea, not the more intangible style of an author. But an AI-generated stylistic imitation could become infringing if it becomes “substantially similar” to the work of the original author. “We’ve never had a situation in which this personal style of individual creators could be imitated as well and as inexpensively as we now have with AI,” George Washington University Law School Professor Robert Brauneis told Bloomberg Law.

If the bubble deflates the way you expect (write-downs, too much compute supply, possibly OpenAI cratering), can you walk us through what that would actually look like for Apple? Does anything break for iPhone users, or does Apple mostly watch it happen from the sidelines? Could it even benefit Apple?

I think things would look much the same for Apple. I think they will sit on the sidelines and watch everything burn. I could see them doing some choice acquisitions as things begin to collapse, but I could also see them do nothing.

I think Apple is in a very weird place at the moment. The Vision Pro was a dud, but it was also the most interesting and future-forward thing I’ve seen anyone put out in a while. If they were smart, they’d tread water and sink as much money into making that as small as humanely possible — no matter how long it takes — because the entire AI bubble is a result of everybody running out of hypergrowth ideas, mostly because we’re flat out of new interfaces.

I want to be clear that what they want to do with the Vision Pro requires it to basically be weightless and invisible and never need adjustments. When it works, it’s genuinely awesome. But that’s a load-bearing when. One slight movement means the whole thing goes out of focus. I can’t even use mine anymore because it needs an update that requires you to wear the thing the whole time. So much promise, released too early, shoved out the door by a CEO on his way out.

In recent years, social media companies shut down public access tools like Meta’s CrowdTangle and replaced them with content libraries, or, like X, paywalled their API data, forcing academics to pay “hundreds of dollars a month,” said Duncan Allen, a research officer at Democracy Reporting International (DRI) in Germany. Researchers say that without API access, what Iamnitchi describes as the “black holes” in what society knows about how these platforms recommend content or handle reports regarding sensitive content will only grow. Others, like TikTok, cap how many posts any researcher account can pull each day, which Allen said can make it “impossible to study anything at scale.”

The DSA was meant to solve this by allowing vetted researchers at credible institutions to have access to API data if they could show it would help in studying systemic risks, from illegal content to threats to fundamental rights. But two years after the law took effect, researchers say they struggle to meet its security requirements and face narrow interpretations from platforms of what qualifies as a systemic risk. Application forms differ by platform, but most require data to be stored on infrastructure that cannot be compromised — such as a machine physically disconnected from the Internet — a resource most universities lack, [said Adriana Iamnitchi, chair of computational social sciences at Maastricht University in the Netherlands, who leads research into online disinformation campaigns.]

Even for researchers who secure approval, “there’s no guarantee that the data is good,” said L. K. Seiling, coordinator of the DSA40 Collaboratory, a German initiative that tracks 46 DSA applications. API data is often difficult for a colleague to reproduce, so a researcher’s work cannot be checked for errors, which Iamnitchi said is a “basic requirement of science.” DSA40 data shows that of 46 tracked applications, 20 were approved and 14 rejected. But approval rates vary widely: TikTok approved 11 of 13 applications, while X rejected 11 of 23. The true rejection rate is likely higher because the tracker relies on voluntary reporting, Seiling said. “There’s no structured advantage for researchers to use this pathway,” Seiling said. “Data access as it’s set up right now tries to disincentivize researchers.”

Nvidia is in talks to provide roughly $250 billion in financing guarantees for OpenAI as part of a massive data center project, the Wall Street Journal reported on Sunday. The backstop from Nvidia would help the ChatGPT maker lease a 10-gigawatt project that SoftBank’s energy subsidiary is developing in southern Ohio, the newspaper said, citing people familiar with the matter. For OpenAI, a deal would be the first step toward controlling its own infrastructure instead of renting it from Microsoft, Amazon, and Oracle, while for Nvidia, it would guarantee demand for its chips for years to come.

The project is expected to cost more than $500 billion in total, including the chips inside the data center, according to the WSJ. The $250 billion guarantee covers the data center lease and debt financing, but would not cover the Nvidia chips inside the center, the WSJ said, adding that the chipmaker was also discussing financing OpenAI’s chip purchases worth up to $350 billion. Nvidia’s backing would support financing vehicles aimed at reassuring lenders about the project’s funding, the report added. The first phase of the project is expected to be finished in 2028, with around 800 megawatts of power, the Journal said.

A patch series that appears destined for the upcoming Linux 7.3 merge window is what’s dubbed the “KVM Chainsaw” as a major code clean-up in dealing with the kvm_mmu “god data structure”. Red Hat engineer and KVM maintainer Paolo Bonzini has merged the kvm-chainsaw branch to KVM’s “next” Git branch. With this KVM Chainsaw work now in the next branch, it should be submitted for the upcoming Linux 7.3 cycle.

The KVM Chainsaw work deals with the kvm_mmu structure being overloaded with multiple uses and splits it down into three parts for better handling current KVM usage. Paolo explains of KVM Chainsaw with the merge to the KVM.git next branch:

“The kvm_mmu is a “god data structure” that includes three different tasks: describing the guest page table’s format, walking the guest page tables and building the page tables. This means that the (already poorly named) nested_mmu is only used in part, since it has no page tables to construct. Furthermore, some parts are reused across guest and host page tables (such as the reserved bits detector) but others are not; for example permission_fault is replaced by simplified code such as is_executable_pte().

This series cleans this up by splitting kvm_mmu in three parts…

In many cases, the followers necessary to sustain a living are smaller (and more attainable) than people might assume. A small but loyal audience can now generate enough income to rival a midlevel salary. Welcome to the middle-class creator economy. Last year, 25-year-old Abi Platock balanced a corporate marketing job in New York while posting online in her spare time. She built her audience by posting one or two videos a day, offering career advice, beauty tips and daily vlogs. “I signed my first brand deal in the four-figure range, and for me that was just such a big eye-opening moment,” Platock says of her partnership with deodorant brand Secret. She had 8,000 followers on TikTok at the time. “You can totally make it work without having hundreds of thousands of followers.” Platock, who now has roughly 25,000 followers across platforms, has signed about $25,000 in brand deals so far this year and expects her annual creator income to reach around $50,000 by yearend.

Her experience reflects a broader shift in advertising. Brands are increasingly moving money toward so-called microinfluencers — smaller online personalities who have less than 100,000 followers. “They are hiring a bunch of microcreators at scale instead of hiring a handful of macrocreators for what could potentially be the same cost,” says Ali Grant, co-chief executive officer of the Digital Department, a creator management company. And they perform where it matters most: engagement. An engagement rate of 3% is considered strong, and some microinfluencers exceed 10%, Grant says of the closely watched metric that tracks how often followers interact with content through likes, comments, shares and saves. Microinfluencers average a 3.2% engagement rate, almost triple the 1.1% rate for macroinfluencers (more than 1 million followers), according to growth marketing agency ATTN… A TikTok partnership with a creator who has around 50,000 followers can run a brand more than $3,500 for a single post, Grant says; with 10 times the followers, that fee might just triple, to around $10,000....

The influencer marketing economy ballooned to a projected $33 billion in 2025 up from $1.7 billion in 2015. The segment gained momentum after the COVID-19 pandemic, as dissatisfaction with traditional work pushed many to reconsider conventional career paths, says Brooke Duffy, a professor of communications at Cornell University. “They realized the trade-offs in terms of the investments of time, energy and human capital were not necessarily worth sacrificing so much of one’s personal self for,” she says. Success online can bring greater freedom — and even higher pay than many traditional office jobs, which have a median US salary of $69,000, according to Glassdoor. But the middle-class hustle still requires constant effort to maintain. The career has no promise of lifetime longevity. And unlike traditional workers, creators have no predictable paycheck or job protections, making career stability elusive. Roughly 57% of 3,000 surveyed full-time creators earn below a living wage from content creation, according to a report last year from Influencer Marketing Hub. Income from social media can fluctuate wildly from month to month, driven by shifts in algorithms, sponsorship cycles and platform trends.

“You could have a month where you make zero dollars, or you could have a month where you make $10,000,” Platock says.

“The Odyssey” leaks have begun, as a high-quality bootleg of the film reached millions of people on X thanks to a viral tweet on July 25. At 2:25 p.m. PT, a post on X reading “Someone uploaded ‘The Odyssey’ full movie on X. Can you believe it?” amplified a message from a now-suspended account. The message included a high-quality version of the film, as confirmed by Variety, and climbed to over 2.1 million views within two and a half hours. By that time, the streaming film was replaced by a takedown notice, and then the account was suspended…

As of July 26, a few clones of the bootlegged film are available on X, but they’ve been mostly flooded away by mislabeled files promising “The Odyssey” but actually showing a Rickroll, the longtime internet prank of tricking people into watching the music video for Rick Astley’s 1987 song “Never Gonna Give You Up.”

One German had his home raided for calling a minister a “Schwachkopf [dummy]" while another was fined €2,000 (£1,700) for calling Friedrich Merz a “lying Fritz” under a law that, critics claim, makes it effectively illegal to make fun of politicians. The number of investigations under Section 86a, the Nazi symbols ban… has more than doubled over the past decade according to official police statistics. Investigations into the “political insult” law also reached record levels in 2025. The surge in cases is so vast that the UN has launched an investigation into free speech violations in Germany, a step typically reserved for dictatorships and banana republics…

In one recent case, a pensioner was investigated under Section 188 for posting “Pinocchio is coming” on Facebook, after he learnt Friedrich Merz, the chancellor, was visiting his hometown… The case was dropped after the story caused an outcry in Germany, and police have since clarified that calling the chancellor Pinocchio is not a crime… In November 2024, police in Bavaria raided the home of another pensioner because he called Robert Habeck, the then vice-chancellor of Germany, a “schwachkopf”, or dummy. The raid was reportedly launched after Mr Habeck personally filed a criminal complaint against the pensioner. Prosecutors eventually dropped the investigation after deciding that the insult “dummy” was not of “sufficient weight” to merit criminal charges.

While such cases might seem like bizarre outliers, there are plenty of others. In 2021, police raided a man’s apartment in Hamburg after he told a senator “you’re such a d—-,” and this year a resident was fined €2,000 for calling Mr Merz a “lying Fritz”. Official figures show a record 4,792 Section 188 cases were filed in Germany in 2025, with the numbers rising by nearly 85 per cent between 2023 and 2025.

[NASA’s Sun Radio Interferometer Space Experiment mision — or SunRISE] will fly to space as part of a rideshare mission sponsored by the U.S. Space Force’s Space Systems Command. Though it’s not stated specifically in the NASA release, that may be a hint as to why the mission’s rocket was changed. On its most recent launch [U.S. Space Force mission USSF-87], Vulcan experienced an anomaly in one of its solid rocket boosters — the second such incident to occur during the rocket’s four launches to date. Vulcan succeeded in delivering the USSF-87 payload to its designated orbit on that launch, but the recurrence of the booster issue during ascent prompted the Space Force to pause national security launches on Vulcan until it could be addressed. Which mission SunRISE will be manifested on has not yet been released, but Space Force’s Space Systems Command [SSC] has already shifted other launches between Vulcan and SpaceX’s Falcon 9…

Falcon Heavy is SpaceX’s heavy-lift launch vehicle… that consists of three modified Falcon 9 first stages, and has launched 12 times since it debuted in 2018. Four of those have delivered national security payloads to orbit, with the most recent of those, USSF-52, launching in December 2023. Falcon Heavy’s most recent flight overall occurred this past April, when it sent the Viasat-3 F3 telecom satellite to orbit. Falcon Heavy’s next mission will lift off with NASA’s Nancy Roman Space Telescope, currently set for no earlier than Aug. 30. SunRISE is scheduled to launch later this year…

Apple could unveil its first smart glasses at WWDC in June 2027, followed by a consumer release toward the end of the year, according to Bloomberg… Part of the delay reportedly stems from Apple’s engineering and marketing teams spending more time refining the product and deciding how to address the privacy concerns…

Apple has reportedly considered glasses without cameras, as well as a version where the cameras can analyse the surroundings but cannot record photos or video. Such an approach could still support object recognition, navigation, Siri, calls, and music playback. The company is also expected to favor on-device processing, avoid facial recognition, keep recordings away from AI training, and use a more visible light around the camera.

[Google] made two claims: first, that no person shall circumvent a technological measure that effectively controls access to a work protected under this title, and second that no person shall manufacture, import, offer to the public, provide, or otherwise traffic in any technology, product, service, device, or component protected by the Act. SerpApi claimed that the URLs and other links that were being served by Google did not in themselves entail copyright and the judge agreed. In her judgment, she said that there was no indication that the copyright holders had authorized Google to take action against SerpApi.

The case is not completely over as the judge has given Google 21 days to amend its complaint to demonstrate that it was acting on behalf of the copyright owners.

I’ve come around on SerpApi in the last few months. My initial take was that it surely must be illegal for a company to scrape Google’s search results and offer access to that data as an API. But I’ve come around to the argument that what SerpApi is doing to obtain Google search results is, well, exactly how Google scrapes the rest of the entire web to build its search index. It’s all just scraping publicly accessible web pages. This December piece by Mike Masnick at Techdirt is what began to change my mind.

Even if global carbon emissions were cut dramatically, so long as any greenhouse gases are being put into the atmosphere, climate scientists say the world will continue to get hotter. And as the temperature rises, the forests dry out and the wildfires will get bigger, stronger and more frequent. “It’s not going to get better. It’s going to get worse,” said Edward Struzik, a fellow with the Institute for Energy and Environmental Policy at Queen’s University and the author of Dark Days at Noon: the Future of Fire . “These fires aren’t going away. Toronto is going to get smoke every summer....”

The best solution would have been to dramatically cut emissions years ago. The harsh scientific reality is there’s nothing we can do to stop wildfire smoke from blanketing cities for a few days every summer — and it’s going to continue for decades to come. We’re all going to need to buy air purifiers and masks and get used to it....

“The idea that we can thin our way through the boreal forest boggles the mind,” [says Zeke Hausfather, a climate scientist at Berkeley Earth, an independent non-profit research organization]. “There aren’t enough people in Canada to do that.” The boreal forest in Canada is an enormous and largely roadless expanse bigger than the entire European Union. In comparison, America’s much smaller forests are criss-crossed by roads, making firefighter access much quicker and easier. And the nature of the forests is fundamentally different as well, said Hausfather, who wrote an article summarizing research on the subject. “Western U.S. forests have evolved for frequent low-level fires that burn out the undergrowth — usually every five to 30 years,” he said. “Historically, before fire suppression, fires would burn through, and they wouldn’t actually kill the trees. They’d just kill smaller trees and clear out the brush.”

“The boreal forest is a fundamentally different beast,” he said. “It’s an ecosystem designed to burn.” With smaller, more densely packed trees, the boreal is wetter and colder and doesn’t burn anywhere near as often — every 100 to 200 years on average, Hausfather said. But when fire does erupt, it’s often much more intense, burning up into the canopy and levelling everything in its path… Clearing out the dead wood on the ground wouldn’t prevent, or even slow, the canopy fires that sweep the boreal, said Hausfather.

Officials in Cape Coral, Florida, recently considered equipping sanitation trucks with AI-powered cameras that would photograph properties as crews complete their normal collection routes. The system would have been designed to identify potential issues such as overgrown lawns, peeling paint, and illegal dumping, and to flag violations so the city staff can review them later before taking enforcement action… However, in a statement on July 13, Cape Coral officials said it would not be moving forward with the camera technology, citing cost issues and insufficient benefits.

“Claims suggesting that this technology would automatically identify, cite or fine residents are inaccurate,” the statement also noted… Cape Coral officials say that a camera system in the future would assist — not replace — human code enforcement officers, and employees will review any AI-generated alerts before violations are issued. “Even if such a system were to be considered in the future, any potential code violations would require review and verification by a Code Compliance Officer before any enforcement action could be taken,” the organization wrote.

AI imaging systems developed by City Detect have already been deployed in several municipalities. According to the company’s published case studies, Stockton, California, used the platform to analyze nearly 40,000 parcels, capturing almost 200,000 images while identifying thousands of potential code issues. Cathedral City, California, has also used the technology to assist code enforcement, while Dallas approved funding for a similar program pending final implementation.

The consumer tech economy needs more DRAM manufacturers, and it needs them more urgently than perhaps at any point in its history. Anyone keeping track of the pricing trends will know that memory prices have climbed into the stratosphere on the back of AI infrastructure’s relentless demand, and every consumer device that depends on RAM has traveled from inflated to unaffordable, quarter after quarter, with almost no relief in sight. Which is exactly why a story out of Shenzhen is worth paying attention to, even in its current rumor phase. According to the details circulated by various semiconductor analysts on X, the Chinese government, DRAM maker SwaySure and Chinese tech giant Huawei have partnered to set up a 12-inch memory production plant. If the reports hold up, it could change memory economics for years to come, but not necessarily in the way you’d hope…

SwaySure itself is a known player. The company was registered in Shenzhen in March 2022, is reportedly backed by municipal government, and appears alongside Huawei on the US Commerce Department’s Entity List, suggesting Washington has realized the connection between the two entities. Although, that’s also where the story becomes a little less straightforward. None of these claims have been independently confirmed, and many of the technical details circulating online trace back to a single X account. Huawei has previously denied operating the wider network of state-backed fabs that analysts have reported. Even the widely quoted figure of 140,000 wafers per month isn’t new, and public records indicate SwaySure’s production line is already operational. What gives the report weight, then, is the fact that Huawei has spent years building this kind of domestic semiconductor ecosystem through partners that appear to operate independently.

The rationale that analysts on X keep revisiting has little to do with consumer memory. Huawei’s Ascend AI accelerators require high-bandwidth memory (HBM), and US export controls have all but cut Chinese entities from procuring HBM from Samsung or SK Hynix… Owning the supply outright solves a problem that purchasing power can’t, which is why the DRAM push is read as a bid to secure captive HBM for Huawei’s own silicon rather than to flood the market with cheaply manufactured DDR5… The catch, however, is the fact that most of this new and rejuvenated capacity is expected to be absorbed by China’s own domestic demand, rather than to relieve the global shortage… This development does not seem to be an isolated incident, given the state of DRAM economics. CXMT, China’s largest manufacturer of DRAM, is already running close to 265,000 wafer starts per month as of now as per analyst estimates, and is projected to hit 350,000 by the end of the year, bringing it within the touching distance of Micron’s estimated 385,000....

[T]he oligopoly seems to be facing the first credible challenge to its capacity discipline in decades, and it seems to be coming from a country building fabs much faster than the competition could hope to match. Now, whether it tangibly impacts the consumer market economics in the time to come may be a story in its own right in a few years, but for now, for what it’s worth, it’s a new direction, and much of it feeds optimism.