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Some of America's biggest tech companies have a warning for Europe: curb your reliance on US cloud providers, and it could cost you €115 billion.
That's the finding of a new study commissioned by CCIA Europe, a lobbying group whose members include Amazon, Google, and Meta, companies that have plenty of reasons to want European governments to keep buying American cloud services.
The research, conducted by the European Centre for International Political Economy (ECIPE), claims the European Commission's proposed Cloud and AI Development Act (CADA) could saddle Europe with €115 billion in costs over the next decade, more than six times the Commission's upper estimate of €18 billion.
The report argues that restrictions favoring European cloud providers would leave governments and businesses facing hefty bills to migrate workloads and rewrite software. It puts direct public-sector costs at €33.3 billion, with a further €80 billion potentially falling on private companies in sectors including banking, healthcare, energy, and transport.
However, a rather large asterisk is attached to that €80 billion figure. It assumes the Commission extends sovereignty requirements beyond public procurement to cover 25 percent of cloud workloads in essential private-sector industries. In other words, it's a modeled scenario, not a bill Brussels has already handed European businesses.
The study also comes with some baggage of its own. CCIA represents several US technology giants that dominate the European cloud market, including Amazon and Google. Both have spent years selling European customers cloud services while more recently developing sovereign cloud offerings designed to address concerns about foreign ownership, data access, and regulatory control.
Amazon, for example, has been developing its AWS European Sovereign Cloud, while Google markets a range of sovereign cloud solutions. Apparently, sovereignty is an attractive proposition when it comes with a hyperscaler logo attached. Meta, another CCIA member, has its own interests in European AI infrastructure, although it is not a commercial cloud provider on the scale of AWS or Google Cloud.
The report specifically targets Article 31 of the proposed legislation, which it says could allow the Commission to extend sovereignty requirements into essential private-sector services. CCIA argues that forcing businesses to move away from existing cloud infrastructure could trigger expensive software redevelopment projects, with code rewriting and re-architecting accounting for 69 percent of its estimated costs.
Luxembourg would apparently take the biggest hit, with the study putting the cost at €1,711 per worker over ten years. Denmark (€905), Austria (€900), and Finland (€864) also face hefty bills, as does Ireland (€856), which hosts the European headquarters of several US tech giants.
CCIA is urging EU governments to overhaul the proposed legislation, limit sovereignty restrictions to sensitive workloads, and abandon requirements based on corporate origin or personnel nationality in favor of what it calls risk-based technical safeguards.
"Member States cannot rely on the Commission's incomplete estimates when deciding CADA's strict sovereignty requirements for cloud and AI providers," said Mitchell Rutledge, CCIA Europe's policy manager. "Taxpayers and businesses will foot the bill, yet the official assessment missed 70 percent of CADA's true impact."
For AWS and Google, offering European customers greater control over their data also helps retain business that might otherwise migrate to European competitors. It's a rather convenient arrangement: sell customers sovereignty on one hand, while an industry association representing your interests warns governments against imposing too much of it on the other.
Neither company responded to The Register's questions.
Whether Europe's sovereignty ambitions will prove as expensive as CCIA predicts is unclear. What's easier to establish is that the companies warning Brussels about the cost of reducing its dependence on US technology have plenty to gain if Europe decides to keep buying American.
The Linux Foundation's Open Source Summit EU has ended in Prague.
The Register has a good writeup -- with extensive links -- about the two focal points of the summit, AI and Digital Sovereignty.
Apart from that, it is well worth a quick rifling through the other Summit presentations, for example the Siemens' presentation "Triaging CVEs for the Linux Kernel". One takeaway there is that something must have happened around 2020. While 200-300 CVEs were kinda the norm before, in 2021 the number of CVEs jumped five-fold, doubling again in 2022 and so on until we ended up with 6317 CVEs for 2026, to date.
Something happened, but what?
Gigabyte recently announced new motherboards that use DDR4 RAM, a standard that launched in 2014, and other vendors support even older standards in brand-new kit.
Earlier this year, AMD released a Ryzen 7 5800X3D anniversary edition to mark ten years of AM4. For AM4 processors, Gigabyte offers the new B450M H ARGB, with two DDR4 slots, and the B550 X-Eagle with four slots. Those who prefer Intel chippery can now buy a B760M Aorus Elite.
This is notable because of the age of the DDR4 spec. In case you lose track of these things, The Register first described the new DDR4 spec back in 2012, and a few months later urged the keen to wait a year or two.
DDR5 supports higher transfer rates, and The Reg predicted its arrival in 2017. The DDR5 standard was agreed in 2020, with mainstream PC adoption following in 2021.
Over in the People's Republic of China, several vendors will sell you new DDR3 motherboards for 15-year-old server CPUs, such as Huananzhi's X79-4D or X79 Supreme, or the Machinist X79 V2.82H. These use Intel's LGA-2011 socket – named for the number of pins, but coincidentally launched in 2011. This Chinese SMZDM community discussion is about whether the circa 15-year-old Xeon E5 is still worth buying – a CPU The Reg covered in 2012.
This is partly due to the current price rises and component shortages induced by large-scale, cloud-based LLMs – but also "training" those "open-weight" models that run on your own kit. Those too are constructed in giant datacenters stuffed full of GPUs, ingesting all the human-written material they can get their hands on, rarely asking for consent. And not just stuff put online either.
Once you wipe the sluggish, bloated commercial OS from your computer's storage, you discover two things. First, you don't need the latest hardware any more. Secondly, the older the PC (or Mac), the better the chances that it will work fine with Linux – or indeed the other FOSS OSes out there.
Current and recent hardware is the most problematic for FOSS developers because most manufacturers prioritize Windows testing, while restricted documentation and proprietary drivers can complicate open source support for new hardware. Together, these things mean that if you're happy without high-powered local LLMs, or three-digit frame rates, second-hand kit is more usable than ever.
(For those who can't do without one or two Windows-only apps that won't run under Wine, we remind you that desktop VMware is free now... and for better desktop integration, we looked at WinApps and WinBoat earlier this year.)
The Reg FOSS desk is based in the British Isles, close enough to order stuff inexpensively from the UK. We've been using online vendors of depreciated ex-corporate kit for decades: we've bought several machines from Morgan Computers, and occasionally from Tier1 Online and Bargain Hardware. Other vendors are available. There are also special-purpose price-comparison sites, such as LowCostMiniPCs.com, which searches other sales sites for bargains.
When we were based in Czechia, we bought a few things from GigaComputer, and we know of others we didn't try, such as Refurbed.cz. Other such European sites include Computershop.eu.
The usability of kit that can only officially run Windows 10 was the entire point of the End of 10 campaign. Microsoft cites security benefits for Windows 11's hardware requirements, but in this vulture's opinion, those benefits don't justify excluding an entire generation of otherwise capable hardware.
Keeping older hardware in service is welcome. If digital sovereignty gives organizations another reason to consider open source alternatives, so much the better.
https://www.slashgear.com/2282678/us-nhtsa-headlight-brightness-glare-rule-change-plans/
Motorists have relied on automotive headlights for well over a century, with the first being acetylene gas lamps equipped on early versions of the Model T. In the years since, several advancements have transformed headlights, bringing about lighting technology like Halogen, HID(Xenon), and LED.
High intensity headlights are considered by some to be among the worst car trends we've ever seen. In the case of LEDs specifically, many are finding them far too bright. Members of AAA have been vocal for years about their disdain for LED headlights, and a petition on Change.org to "Ban Blinding Headlights and Save Lives!" have garnered well over 80,000 signatures.
Those struggling against the glare of LED beams aren't imagining it, these headlights are brighter, and feature a greater concentration of light than previous technologies. You can employ a little-known trick that can reduce glare from LED headlights, but it doesn't entirely solve the problem. In addition, the blue wavelength the LEDs produce can be especially hard on the eyes. Not only are many calling the situation unsafe due to extensive glare, it's also unclear at this time whether these LED headlights are potentially causing damage to people's retinas through extended exposure.
Finally, surely to many Americans' relief, the U.S. Department of Transportation signaled it's move to investigate and modernize regulations surrounding the LED headlight situation. In an update to the existing Federal Standard 108, the agency will reportedly study the relationship between headlight focus, height and glare, reexamine regulation around LEDs as well as more recent automatic and light sensor features. Jonathan Morrison, NHTSA Administrator promised in a NHTSA press release to "address [the] potential causes of glare," and "to update outdated regulations..."
More common in Europe, there is a technology called matrix headlights that contain many micro-LEDs spaced across a surface. In the Digital Matrix system by Audi, are each thinner than a human hair. With the help of tiny cpu chips and mirrors, these thousands of micro-LEDs selectively form patterns to focus light more intelligently at the road and actively away from other motorists. The video clip shows this technology in action, as an Audi with the Digital Matrix system selectively clicks off light pointed at an approaching driver, and then turns it back on after the vehicle passes.
Other countries in the world have been using these advanced headlights for years, so why not the states? The first issue was Federal Standard 108 instituted by the NHTSA back in the late 1960's – the same one the government is looking to update today. The rule deemed that high and low beams must be powered with different bulbs. Because matrix headlights utilize the same array of micro-LEDs for high and low beam functions, they were effectively illegal in the U.S.
This high and low beam rule was amended in 2022, but it didn't make the situation better. Even though the language in Federal Standard 108 was updated, it ended up making requirements even more stringent than rules in place across the ocean in Europe, requiring those matrix headlight systems to be reengineered for American cars. So, automakers just turned off the adaptive headlight features in the U.S. entirely.
Tiny11 Builder, a tool for creating less-bloated Windows 11 installation images, now has a desktop app preview that makes the process less reliant on PowerShell know-how.
As the author explains: "Tiny11 Builder aims to be the de facto standard for creating lightweight, safe and efficient Windows images."
The tool creates an ISO image for Windows installation, stripping out bundled apps and selected system components. It accepts Windows 11 installation media from 22H2 onward, including 26H2, and the result is something a good deal more compact than Microsoft's original.
The major visible change is a WinUI 3 desktop application that uses a new C# image builder rather than merely running the existing PowerShell scripts behind a graphical interface. Those scripts remain available, but the new interface is considerably more polished.
There are three basic build modes: Tiny11, which removes bundled apps while retaining Windows Update, Defender, and recovery tools; Tiny11 Core, which disables updates and Defender and irreversibly removes components, including the recovery environment; and finally a custom option where users can decide which Windows elements to keep or drop from the ISO image.
Tiny11 remains an impressive technical achievement, but it carries an important health warning: the ISOs it creates are definitely not supported by Microsoft, and if you opt for Tiny11 Core, the author recommends sticking to test VMs only.
This is for enthusiasts who understand that a smaller installation can come with missing functionality, security trade-offs, and support complications. There is also no guarantee that attempts to bypass some of the more onerous aspects of Windows 11 installation will work.
As the author notes in the project's repository: "Local-account and hardware-check settings are best effort, not guaranteed bypasses on new builds."
In other words, don't count on it to bypass Windows 11's hardware requirements or account demands on newer builds. Tiny11 is all about stripping fluff and fripperies from the Windows 11 installation image.
As with earlier versions, a license is still required. While the ISO might have been debloated, this is still Microsoft Windows 11 after all. "No modification bypasses Windows licensing or activation," the author notes.
The appeal of removing Microsoft's excesses is clear. Whether the reduced footprint is worth the loss of components and potential support headaches depends on what users choose to strip out.
[Ed's Comment: Note that a licence or activation is still requireed.]
"Small weight-based replicators" could usher in a new generation of computer worms:
AI company Anthropic is warning that advances in small AI models could soon usher in a new era of self-replicating malware that's capable of infecting smart fridges, vacuum cleaners, and a wide range of other Internet-of-things devices and is more resistant to takedown.
By next year, smaller AI models may be able to autonomously self-replicate on all kinds of IoT devices, the company said. Eventually, the capability could enable computer worms, which propagate without requiring human interaction and are capable of infecting unfamiliar IoT devices. An experiment the company performed recently revealed significant challenges in bringing such an AI malware replicator to fruition, so the finding is necessarily tempered. Still, the results do raise concerns about the possibility of new forms of computer worms.
Anthropic further warned not only about the new potential malware, but also that it could be difficult to stop. In its blog post, it wrote that "a replicator like this would be challenging to shut down, since there's no centralized point to shut off—though it may be slow (with a doubling time of days). Unlike non-AI malware, it could also figure out unfamiliar devices on its own."
Smaller AI models require much less powerful hardware to run than do frontier models. Anthropic ran small open-weight models on real or simulated low-cost, off-brand Android TV boxes and other types of IoT hardware. Company researchers found that by using quantization to represent the models using fewer bits and splitting the workloads into "shards" running on each device, the models were able to establish inference, meaning that the model weights loaded and could generate output.
The lightweight Gemma4-26B-A4B model required just 15 boxes, each equipped with only 4GB of memory, to achieve inference. The Qwen3.5-9B was able to configure other LLMs to run on eight of nine hardware types. Unlike traditional malware, which must be written to run on specific hardware or software, the model was able to use its weights to make configurations on the fly that were specific to the devices it was tested against.
This finding was the starting point for further research that asked: Would it be possible for small models to create self-replicating infections that run themselves on IoT devices the way traditional IoT worms, like Mirai, install DDoS code and other payloads? Unlike Mirai, these AI worms could pose a much higher threat, since the models could tailor exploits and payloads dynamically, depending on the target. Once such an infection chain began, it might also be harder for defenders to stop it.
"Such an 'AI worm' could carry its model weights with it as it reproduces (or re-download them from a public hub), and then run inference directly on compromised hardware," Anthropic said. "Effectively, the weights would become part of the malware payload."
Anthropic called these autonomous worms small weight-based replicators. The models ran agents that had access to common exploitation tools, like reverse shells. The flow of the attacks was (1) finding targets, (2) gaining code execution, (3) establishing inference, and (4) propagating to new hosts. A key benefit over traditional worms is what Anthropic said is the agents' ability to learn on the job. Each time an AI replicator fails to compromise a specific platform device, it can leave a list of prompts, code, and notes to future replicators so they don't waste time reusing the same ineffective steps.
Anthropic said the dynamic inference setup is the least studied and likely most challenging stage in the replication cycle. It requires a long sequence of decisions based on the specific hardware and software of each target and involves selecting compatible inference software, installing dependencies, and debugging platform-specific bugs.
"These steps are serially dependent, and failures are difficult to recover from," Anthropic said.
The experiment shows that small models are becoming increasingly capable at solving those problems autonomously. At the moment, however, none of the light-weight models tested are able to mount end-to-end replication, meaning discovering new devices, using an exploit to gain access to them, infecting them with a payload, configuring an inference server, and repeating the process. The process is also painfully slow; Gemma4-26B-A4B, distributed over the 15 Android TV boxes, performed at just 0.39 tokens per second. That translates to a full-inference setup time of 71 to 150 hours for an unoptimized Gemma4-26B-A4B and 29 to 51 hours for Qwen3.5-9B. (The researchers said that the large model GLM-5.2 appears to be able to do so reliably.)
The company said that 30B-parameter models can already complete many of the individual replication steps now, although they make mistakes when performing end-to-end replication. The company went on to say that if small models continue to improve at their current pace, they may be able to achieve the same limited results by the end of the year and that "small weight-based replicators may be possible soon after."
The experiment leaves a variety of important considerations unanswered. For one, the Android devices targeted by small models had an unauthenticated Android Debug Bridge exposed. This tool is used during development and debugging but should never be used in production settings, because it gives attackers access to the entire device stack. And for another, the replication wasn't performed by the small models themselves, but rather with GLM-5.2 to orchestrate the process while the targets ran a smaller Llama model.
Ultimately, the experiment demonstrates that small agentic models are becoming capable of setting up complex, distributed inference infrastructures across multiple machines. What remains to be established, however, is whether these models would initiate self-replication on their own.
"Despite the well-designed experimental setup, the study does not, on its own, establish that small models would autonomously choose to replicate," AI researcher Xiaohan Fu said in an interview. "Providing reproducible agent setups, including the exact prompts and instructions given to the models, would help the research community better understand the findings and assess their implications. Such transparency is particularly important to avoid conflating the demonstrated capability to replicate with an emerging threat of autonomous self-replication."
https://www.cnet.com/tech/services-and-software/openai-employee-fbi-arrest-recording-device-news/
The FBI arrested an OpenAI employee and charged him with planting a surveillance device in an executive conference room to record the company's plans for its artificial intelligence, the company and FBI confirmed on Tuesday.
The US Department of Justice identified the employee as 35-year-old Abdulrahman Alfozan, a Saudi Arabian citizen and legal permanent resident of the US, who joined OpenAI's product team in July 2025. He was fired and arrested on Oct. 9 on suspicion of violating US law by using "an electronic, mechanical, or other device to intercept oral communications." The charge comes with a possible five-year prison sentence and a $250,000 fine.
In a statement, Jay Clayton, director of national intelligence, said that the incident underscores the importance of US success in AI development as “a national security prerogative.”
The complaint, filed in the Northern District of California, says Alfozan allegedly placed a "thumb-sized development board with a detachable camera sensor, digital microphone and microSD storage." It was wrapped in toilet paper and stuck into a TV port. A second recording device was found in a bag Alfozan allegedly left in a printer room along with his wallet and ID.
The conference room where he allegedly planted the bug could be reserved only by executives and their assistants — Alfozan did not have access — and was frequently used to discuss proprietary research and hold meetings with government and industry officials. OpenAI said it has evidence Alfozan planned to place additional surveillance bugs to secretly record company meetings.
The ChatGPT maker says it discovered the first bug on Sept. 30 and alerted the FBI. During the 10 days between the discovery and arrest, the company says it took steps to contain the security risk. The company says it has not seen evidence that the safety of its products or customer data has been compromised.
"We take protecting our technology, data, and people seriously, and as a matter of national importance," OpenAI said in a statement.
OpenAI’s own AI was used to analyze forensic images of the device and assess changes in its data. In a bizarre detail that borders on a marketing pitch, OpenAI posted on X that its frontier AI was used to help investigators. There are no additional details on how its AI was used, but we may learn more later, as the investigation is ongoing.
This incident is one of the first public instances of an espionage case against an AI lab. In 2024, former Google engineer Linwei Ding was found guilty of stealing the company's AI plans for Chinese rivals, though his conviction was partially overturned in August.
In the intense, cash-fueled worldwide competition to make the most advanced AI, a case of apparent industrial espionage isn’t surprising. What is noteworthy is how the government is responding: Washington is continuing its campaign to ensure that AI companies are seen as critical national infrastructure.
"Protecting American [super intelligence] innovation is critically important, and FBI views it as one of our highest counterintelligence priorities," FBI Director Kash Patel said in an X post.
The federal government has become more involved with AI policy and with the labs creating the tech in recent months. The US' voluntary, largely ceremonial AI Accord announced this month had many Big Tech leaders agreeing to develop AI responsibly in the wake of renewed public concern triggered in part by multiple incidents of AI agents breaking into places they shouldn't have been able to access.
President Trump has consistently championed an "innovation first" strategy to ensure the US beats China, at the expense of AI regulation. His administration has highlighted “national security considerations” that come with AI. The Department of Defense has previously sided with AI labs, saying in a filing in a lawsuit brought by Memphis communities against Elon Musk's xAI that the data centers powering AI are essential to military and national security activities.
The lack of dark matter in galaxies DF2, DF9, and DF4 (clockwise from left) was a shock to scientists, who speculate that they formed after an ancient collision.
About 65 million light-years from Earth, three galaxies don't look quite right. They aren't whirlpools bursting with light, but pallid objects dimly illuminated by a smattering of stars. "They have this ghostly appearance," said Michael Keim, an astrophysicist at Yale University. And this isn't even the weirdest thing about them.
Dark matter is the invisible glue that keeps the largest structures in the cosmos together. It draws ordinary, visible matter toward it, allowing stars to form and keeping the stelliferous limbs of galaxies from flying off. "Almost all galaxies are dominated by dark matter," said Shyam Balaji, a theoretical physicist at King's College London.
But these three diffuse galaxies, known as DF2, DF4, and DF9, have left astronomers stunned. After using a suite of telescopes to estimate their masses — using the motions of their stars as a proxy — the researchers found that all three have little dark matter. Instead, a pittance of ordinary matter alone must have forged their small selection of stars. How could these rule-breaking galaxies have formed?
A paper published in June 2026 in The Astrophysical Journal offers a potential solution. Once upon a time, two regular galaxies collided. Their ordinary matter — their gas and dust — swirled about and got clumped up. But the dark matter passed right through and continued on, like a specter passing through a wall. The cosmic pileup left behind three new galaxies, each bereft of dark matter, each left to struggle to form a new batch of stars.
It's a convincing explanation for many experts — one that, crucially, may tell us something about the mystery of dark matter.
Is there a way of evolving the galaxies without dark matter in the first place? Our understanding says no.
Some scientists have suggested that dark matter, which has yet to be directly detected, may not exist. Instead, they propose that a tweak to our understanding of the gravitational force might explain various features of the universe.
These bizarre galaxies pour cold water on that idea. "What this is showing is that dark matter is ... not just a modification of gravity," said Keim, who is an author of the new study. If you segregate ordinary matter from dark matter, you'd expect that the dark matter–lacking galaxies would struggle to form stars — and that's what DF2, DF4, and DF9 show.
That suggests, as many have suspected for some time, that dark matter is a physical thing. "The absence of dark matter is, in a way, some evidence of dark matter, which is ironic," Balaji said.
What, exactly, is dark matter? Ever since it was formally proposed by the astronomer Fritz Zwicky in the 1930s — and built upon in the 1970s by the astronomer Vera Rubin — cosmologists and astrophysicists have been putting forward their best candidates. Could it be a stealthy type of neutrino? Might it be so-called weakly interacting massive particles, or WIMPs? Some have even opined that it could be primordial black holes as small as individual atoms and as old as the universe itself.
"We don't know which dark matter candidate is the right one," said Daniel Whiteson, a particle physicist at the University of California, Irvine. Whatever it is, it has yet to be detected. But "there's a lot of independent lines of evidence that dark matter is matter."
In 2018, scientists used observations from the Keck Observatory in Hawai'i to estimate the mass of galaxy DF2. They discovered that it contained 400 times less dark matter than expected.
Dark matter, which makes up 27% of the universe — and 85% of all matter —interacts with gravity. If it were down to the gravitational pull of ordinary matter alone, stars on the edges of rapidly spinning galaxies would escape into space. Ordinary matter alone would struggle to clump together tightly enough to form stars. Dark matter also seems to warp space itself, bending light around objects in a process known as gravitational lensing.
"You wouldn't get galaxies without dark matter," said Chamkaur Ghag, a physicist at University College London. "Is there a way of evolving the galaxies without dark matter in the first place? Our understanding says no."
So when DF2 was discovered in 2018, astronomers didn't quite know what to make of it. The galaxy is roughly the same size as the Milky Way, but with 200 times fewer stars, it's considerably dimmer. Suspicious, scientists used the Keck Observatory in Hawai'i to track the motions of those stars to estimate its total mass. They discovered that, even for such a star-deficient galaxy, it was lightweight: It seemed to contain, at most, 400 times less dark matter than they would expect, making DF2 the first dark matter–deficient galaxy ever spotted.
In 2019, they observed DF4, another phantom galaxy with a dearth of dark matter. And in 2026, scientists announced that a third, DF9, had joined the club. It contains the mass of roughly 100 million suns, which is consistent with having only ordinary matter. If it were also packed with dark matter, it would be 100 times more massive.
That all three gossamer galaxies existed along a line, as neighbors, didn't escape the attention of astrophysicists, who began to coalesce around an origin story.
Dark matter is only known to act with the gravitational force; there's no compelling evidence yet that it interacts with other fundamental forces, like electromagnetism. If two typical galaxies met in a head-on collision, the dark matter would experience very little friction, or drag, and would keep on rocketing by. But ordinary matter, which interacts using all four fundamental forces, would get all tangled up.
"An analogy would be two knights jousting, where the knights and their lances collide and may be thrown to the ground in a heap, while their horses keep on running at full speed," said Aaron Romanowsky, an astronomer at San José State University.
Several independent experts buy the tale spun by Keim and his colleagues. "It's very convincing," Whiteson said.
It's reminiscent of the Bullet Cluster, two massive collections of galaxies 3.8 billion light-years away that also collided eons ago. This destruction derby, which was recently observed by the James Webb Space Telescope, has a messy distribution of mass that only makes sense if dark matter and ordinary matter got torn asunder during the collision.
Although this kind of segregation can be seen with greater clarity in DF2, DF4, and DF9, not everyone agrees on how the separation took place.
Kinwah Wu, a theoretical astrophysicist at University College London, noted that the triplet does not exhibit any of the fluid, wispy features that one would expect to see after a galactic collision. He suggests that, in this case, DF2, DF4, and DF9 were passing through a large group of massive galaxies. This outsize rabble then stripped the triplet of all their dark matter during their ill-fated voyage.
The Bullet Cluster is the result of a massive, ancient collision between two collections of galaxies. In it, intracluster gas (represented in pink) and dark matter (represented in blue) have separated.
Stacy McGaugh, an astronomer at Case Western Reserve University and a longtime proponent of modified-gravity theories, is more skeptical. "It's not clear to me what the formation mechanism is," he said. An ancient collision "is a plausible origin story, albeit an exceptional one. If that's what's happened, then the rest follows." In other words: If these galaxies were created when their dark matter was stolen away, then it makes sense that dark matter is a physical substance.
"But the question is: Is that what happened?" he continued. "And I'm not convinced that that's the only way that can happen." Without definitively knowing their origin story, McGaugh doesn't think it's possible to say anything about the nature of dark matter itself.
Most experts, though, cannot see how DF2, DF4, and DF9 could exist without dark matter being a physical thing, even if the trio's genesis can be debated. "It's hard to explain how you'd get something like this evolving by itself without something like dark matter," Ghag said.
MOND says: What if there's only visible matter, but its gravity works differently than we thought?
That makes this galactic trio bad news for MOND, or modified Newtonian dynamics, an alternative to dark matter proposed in 1983 by the physicist Mordehai Milgrom. "MOND says: What if there's only visible matter, but its gravity works differently than we thought?" Whiteson explained.
MOND implies that, when objects are experiencing a very weak gravitational pull — for example, when two stars are separated by extreme distances — the gravitational force doesn't dwindle as much as scientists think. That could explain why spinning galaxies can be held together without needing an extra source of gravity from dark matter, its proponents have argued.
Dark matter has long been the favored theory for cosmologists, as MOND "could never really explain everything," Ghag said. He explained that MOND suffered a significant blow in 2015 when the U.S.-based Laser Interferometer Gravitational-Wave Observatory, or LIGO, detected gravitational waves — ripples in the fabric of the universe — for the first time. Scientists found that these waves move at the speed of light in all directions over huge distances, which implies that gravity works in a consistent, unmodified way throughout the cosmos.
DF2, DF4, and DF9 are also more elegantly explained by dark matter than by attempts to adjust the mechanics of gravity. "It's easier to remove matter, cold dark matter, through something like a collision, than it is to turn off a law of nature," Balaji said.
"I think it's fine and healthy to have alternative theories and open debate," Whiteson said. "But let's also be frank about whether the theory fits the data. MOND does not."
The identity of dark matter still eludes us. But these galaxies are arguably another nail in the coffin of its increasingly unpopular competitor.
A person claiming responsibility for the breach of Denmark's Central Register of Persons (CPR) says they gained access through an IT company's account protected by the password "123456."
The person told Danish news outlet Politiken [Website in Danish. --Ed] they had no intention of selling or leaking the data. The newspaper reported that at least three company accounts, including an administrator account, used the same password.
Denmark's CPR administration confirmed a breach affecting the information belonging to 8.8 million people on October 5, adding that a Danish company's legal access to the CPR system was abused.
It did not name Funen-based Pays ApS as the company in question, but managing director Sophie Laursen confirmed on October 9 that it's access had been exploited.
Pays' website has been taken offline, and the business has not responded to The Register's request for more information about the password claims.
Pays had authorized access to the CPR system to provide services such as validating business customers' records.
The Danish government says information relating to 8.8 million people was accessed. The register contains approximately 11 million records, including those of deceased people and people who have moved abroad. The government did not respond to questions about the alleged password failings.
According to documents obtained by broadcaster TV 2 [Website in Danish. --Ed], the attacker gained access to the CPR system on September 10 and ran the 14 million automated searches between then and September 20.
The intrusion was detected on October 2, 12 days after the last reported searches.
Mikkel Leihardt, director of the government's higher education and science ministry, told reporters at a press conference that the attack was discovered after a department staffer picked up an invoice indicating unusually high activity from Pays.
The Danish data protection authority, Datatilsynet, was notified on October 4, and the government disclosed the attack the following day.
NASA's Perseverance Mars rover just broke the record for the farthest distance traveled by any vehicle on another world, the space agency announced. The six-wheeled, nuclear-powered buggy has now traveled 28.10 miles (45.22 km) as of October 11th, besting NASA's Opportunity rover that rolled 28.06 miles (45.16 km) across the red planet's surface. Perseverance managed the feet in just five and a half years, compared to nearly 15 for the plucky Opportunity.
Last we checked with Perseverance, it was officially a marathon finisher with 26.2 miles under its pock-marked metal wheels. While the 28.1 miles it's covered to date may not seem like much, it's pretty good considering the vehicle's maximum speed is a glacial 0.1 mph. It's also impressive considering the challenging terrain it's been tasked to transit, as NASA showed in the video below.
The 2,260 pound rover attained the milestone traveling to a region called Idubi, where it will investigate a feature called "Lac de Charmes" with some of the oldest terrain ever explored in our solar system. "The rocks and terrain of Lac de Charmes are so ancient that their Earthly equivalents have long since been erased by erosion and plate tectonics (Mars doesn't have tectonic plates), and Idubi is where the science team hopes to find traces of ancient hydrothermal systems," NASA explained.
Perseverance's longevity can be chalked up in part to smart navigation decisions powered by its autonomous AutoNav system. Using that, the rover can image terrain and find hazards in real time while driving automatically between waypoints chosen by its planners. By processing 600,000 measurement points with each glance, it has been able to travel more than 90 percent of its total distance autonomously.
Thanks to a recent software update, Perseverance can now roll more and steer less to save wear on parts, while checking its own position against orbital maps in mid-drive. Next, the team wants to overcome camera glare issues from sunlight that impede its vision, so the rover can work longer days.
Perseverance may have out-driven Opportunity, but the Curiosity rover is still exploring Mars as well and has traveled 38.15 km (23.7 miles) to date. The next most traveled US vehicles are the manned rovers from the Apollo 16, 17 and 18 missions — of those, Apollo 17 rover went the farthest at 35.74 km (22.21 miles).
Datacenters are forecast to consume a growing share of Europe's electricity by 2035, potentially pushing up consumer prices and prompting governments to impose price caps or restrictions on bit barns, according to Moody's.
The credit rating agency is keeping tabs on the financial implications for datacenter operators and electricity networks.
It predicts that while power consumption by server farms is relatively modest today, these facilities are set to become major drivers of electricity demand by 2035, requiring utilities and network operators to invest in generation and grid capacity.
Massive compute sheds still accounted for "a low single-digit share" of electricity in most of the largest European markets in 2025, typically about 2.5 percent. But some of the major markets such as the UK and France are set to see accelerating growth in the number and size of facilities that could substantially increase their share of electricity consumption.
The report estimates datacenters will account for at least 5.7 percent of electricity demand in France and the UK by 2035, but could be as high as 17 percent for the Netherlands and 30 percent for Ireland. The latter country is regarded as an outlier, however, as datacenters already made up 23 percent of Ireland's electricity consumption in 2025 – up from just 5 percent in 2015.
In addition, the EU has set out the goal of more than tripling the bloc's datacenter capacity within five to seven years, and wants to diversify where such projects are sited beyond the primary markets such as Germany, Ireland, France, and the Netherlands to secondary markets in the Nordics and southern Europe.
This means more power generation will be needed, plus expansion of the grid networks to carry the extra energy to where it is required. Moody's says this has the potential to put pressure on grid operators' balance sheets in the short term, compounded by the lag in recovering higher capital spending under many European regulatory regimes.
This pressure is more pronounced for transmission networks than distribution networks because datacenter operators are required to fund only the cost of the connection to the grid, the report by Moody's notes.
It highlights some novel approaches adopted by utilities, such as repurposing old fossil-fuel plant sites for server farm projects because of their existing grid connections – as is said to be the case with at least one of the UK government's AI Growth Zones – and partnering with developers to build new facilities and supply them with power.
The cost of expanding power grids, together with supply-demand imbalances, is set to push energy prices higher, Moody's forecasts. Historically, this has prompted political measures to limit the financial burden borne by customers, it says.
Some governments are already considering tax cuts and additional subsidies for end users, while a growing number of transmission networks are starting to demand financial guarantees to screen out speculative or duplicative projects. The UK government is mulling over this measure, as we reported during the summer.
Looking ahead, intervention could become more intrusive through measures such as electricity price caps, additional taxes, or levies.
Moody's cites Ireland as an example, where the Commission for Regulation of Utilities (CRU) replaced a moratorium on new datacenter grid connections with a framework under which operators applying for a grid connection rated at 10 MVA or more must provide matching power generation or storage capacity on-site or nearby, and meet at least 80 percent of their annual electricity demand through additional renewable projects in Ireland.
In America, President Trump brought in a Ratepayer Protection Pledge to try to defuse growing voter unhappiness at datacenters and their effects on energy bills. The pledge now covers utility companies, bit barn developers, and state governments with a pinky promise that citizens' bills won't rise to pay for all the extra energy and grid infrastructure needed.
Moody's expects more European governments to follow the US and Ireland in intervening over datacenter power demand if expansion continues on its current trajectory.
https://www.engadget.com/2285001/scientists-find-evidence-second-generation-planet-dying-star/
Way back in 1999, NASA's Hubble telescope gathered data from a white dwarf star codenamed HS 0209+0832 with 100 chemical features that couldn't be identified. Now, a team of scientists led by astronomers from the University of Warwick has published a paper in Nature, revealing that those chemical features indicate that the white dwarf hosts a second-generation planet.
A white dwarf is what remains of a star like our sun following its red giant phase, wherein it runs out of hydrogen and expands into a massive fireball that's expected to eat up nearby planets, if there are any. It's the dense core left behind after it's done burning up its nuclear fuel and shedding its outer layers.
The planets in our solar system, including the Earth, are all first-generation planets. That means they formed using materials from the birth of the sun. Second-generation planets form from the materials a dying star casts off. They are very, very rare and are mostly suspected to exist around pulsars, which are the highly magnetic and rapidly spinning remnants of dead neutron stars. White dwarfs are more common than pulsars, and Jamie Williams, the lead author of the study, said finding a second-generation planet around one "was completely unexpected."
Williams found evidence of the planet by looking at Hubble's decades-old observations and comparing them to an updated chemical database. They found that the unidentified chemical features matched an element called niobium, which "can only be synthesized in the exotic conditions that briefly emerge inside dying stars." The niobium levels in the system were 1,000 times higher than our sun's, and that amount points to the formation of a planet from the dying star's materials.
The scientists said that the white dwarf is still extremely hot and is still blasting the planet with enough heat to strip out its outer layers. But they believe the planet will stay and that it will remain in the white dwarf's habitable zone for millions of years. According to the European Research Council, which funded the study, HS 0209+0832 would be the first white dwarf found to host a second-generation planet if the team's findings are confirmed.
https://www.engadget.com/2283487/microsoft-president-ai-less-regulated-than-a-carton-of-milk/
Milk can't hack companies and governments like AI definitely can, but it's still subject to more regulation, Microsoft president Brad Smith told ITV on Friday [Video not reviewed. --Ed] . "Right now, your washing machine is subject to more safety rules than AI," Smith said in the interview. "Every carton of milk that you see in the grocery store is subject to safety rules and inspection."
Major US AI giants like Anthropic, OpenAI and Google's DeepMind have spoken in favor of an AI development slowdown. However, US President Donald Trump has said that, if anything, the US AI industry needs to accelerate to stay ahead of China.
Rather than government, Trump would prefer that AI companies regulate themselves. At his so-called Super Intelligence summit, AI bosses including Google Sundar Pichai, Anthropic's Dario Amodei, Mark Zuckerberg, OpenAI President Greg Brockman, Elon Musk and NVIDIA CEO Jensen Huang signed a pact with several key tenets. Those include implementing self-regulation, safeguards to keep pioneer models from going rogue and using "independent auditors" to assess models.
Critics were unimpressed, though, with one telling the BBC that it allows firms to "define what counts as safety" and another saying that "the accord should be ignored for the distraction it is."
Microsoft's Smith thinks the lack of US action gives the UK a unique opening to lead in terms of regulating AI. "In Washington DC, people don't look at the UK and they don't look at London the way they look at Brussels — that's a strength," he said. "I hope that's the role we can play as a company. I hope that's the role the UK can play as a country. [W]hen you look at models that are so powerful that they're putting the world's cybersecurity at risk, I would say: the moment has arrived."
New technology absorbs moisture from the air and turns it into electricity:
More than 6 million U.S. homes have solar panels on their roofs — but what if you could generate power inside your house, too?
Researchers from Binghamton University have developed a new type of wallpaper that turns moisture in the room into small amounts of electric current, and they hope to improve the technology for greater power yields.
[...] The wallpaper uses tiny moist-electric generators (MEGs) that absorb water molecules from the air. The absorbed moisture promotes the dissociation and movement of ions within the material, creating an ion-concentration gradient. This charge separation establishes a voltage between the two sides of the device, allowing electrical energy to be generated.
The MEGs don't need to compete with high-energy power sources. Instead, they can serve as dedicated power supplies for low-energy electronics like environmental sensors, wireless communications modules, smart-building interfaces, and other devices for the growing "Internet of Things" collecting data.
"All previous moist electric-generator devices are for outdoor humidity, because there is a lot of moisture out there that is an excellent energy resource," Choi said. "The problem is that it generates such small amounts of power, and the outdoor environment is not stable because of extreme sunlight or weather. The good thing about an indoor environment is that it maintains a very constant humidity between 30 and 60 percent, and the occupants' activities like respiration, cooking, and bathing generate additional moisture."
[...] To address these limitations, the researchers drew on Choi's pioneering work in papertronics to develop a new MEG architecture resembling a microchip on a circuit board. Glycerol at the edges captures moisture from the air, while a raised polyvinylpyrrolidone (PVP) structure in the center, patterned with a wax layer, controls moisture release and evaporation. This spatial design directs moisture transport from the absorption region toward the evaporation region, maintaining a more controlled gradient for continuous power generation.
"It was not easy to integrate three different areas into one paper, but I want it all printable so that we can make it for mass production and at a larger scale," Choi said.
Because homeowners wouldn't want to see a bunch of wires, a second key design feature meant putting all the wiring for MEGs on the back of the wallpaper. The researchers connected the generators in series and in parallel to see which setup produced the most power, but both methods produced similar results.
For now, Choi sees the MEG arrays as a way to power small devices such as environmental sensors or wireless keyboards while also regulating a room's humidity.
Journal Reference: Guangya Yuan, Yang Gao, Seokheun Choi, Moist-Electric Wallpaper With Engineered Unidirectional Moisture Transport for Indoor Energy Harvesting and Humidity Management, First published: 16 September 2026 https://doi.org/10.1002/aenm.71603
Yandex engineers are working to restore services after Ukraine launched drone strikes on three of its five Russian datacenters.
The strikes began overnight on October 7-8, "seriously damaging" Yandex's Sasovo datacenter and leading to a total shutdown. Ukrainian drones struck again on the morning of October 9, targeting the company's Kaluga datacenter, resulting in part of its infrastructure being taken offline.
Dima Pirogov, head of Yandex's fintech division, confirmed via Telegram on Sunday morning that a third strike targeted the company's Vladimir site, which supports Yandex Pay. A day later, services remain offline, although Pirogov said users' money is safe.
"I'm very sorry I can't tell you yet that everything is working again," the exec wrote. "The team continues to restore services and is checking every step. When it comes to your money, it's important to us not just to restore Yandex Pay as quickly as possible, but also to ensure that everything is working reliably.
"I understand that you're not waiting for words, but for access to your money. And I understand how hard it is to wait when you can't use it. We can't give you a precise timeline for the restoration yet, but we promise: we won't stop until the service is back online."
Yandex Pay is the company's digital payments service. Users can make online and in-store purchases, pay in installments, and split bills with friends and family.
It's also integrated into online shopping experiences. It is comparable to Apple Pay or Google Pay, while Yandex more broadly offers services similar to Google's.
Yandex said engineers are prioritizing the most-used services, and reported that access to the Alice AI assistant, Mail, Maps, Search, and Taxi is being restored, but other features remain offline.
The company's status page lists widespread outages across Yandex Cloud, its public cloud platform, following the attacks.
Updates from the maintenance team describe partial availability despite the outage indicators. They suggest that some customers may be able to access certain features, such as Yandex Cloud Console and API, but availability remains inconsistent across the platform.
In its most recent update, the company said: "The Yandex Cloud platform is still operating in a limited mode. Our specialists continue restoration work around the clock. The technical support team receives an increased number of requests, so the response time can be increased.
"Our recommendations continue to be relevant. We recommend using alternative sites for hosting and reserving resources."
Internet monitoring organization Netblocks reported that Yandex Cloud's network connectivity was at 30 percent of normal levels on October 11.
Ukraine president Volodymyr Zelensky said the drone attacks were a response to Russia's own, which had targeted datacenters in Kyiv.
The BBC reported that in September, Russian drone strikes targeted a business center in the capital city, killing four people and damaging a datacenter, which in turn resulted in around 100,000 households losing internet access.
The attacks led to other knock-on effects, such as public transport boards not displaying information in Lutsk.
Kyiv's attack on the Vladimir site on Sunday morning came hours after controversial comments from US president Donald Trump, who accused Zelensky of wanting "to make problems for the world" by continuing to attack Russian oil refineries.
Trump went on to say that it was time for Ukraine to elect a new president after Zelensky said measures should not be taken that allow Russia to generate more revenue to fund its war. Zelensky was referring to a deal between Trump and Putin to release diesel from Russia to the US and the rest of the world.
Later that day, the US president claimed Russia and Ukraine had agreed to an "energy ceasefire" to halt attacks on each other's energy infrastructure.
Kyiv said it was unaware of the agreement before Trump announced it on his social media platform, but was willing to halt attacks on Russian energy infrastructure if Moscow reciprocated.
Russia launched a missile attack on a Ukrainian power plant hours later.