The AI safety debate advanced at high speed over the weekend, amid new allegations that rogue agents have behaved more badly than first thought – and in greater numbers. The fun started on Friday when OpenAI quietly disclosed it had paused training of its most advanced models. The AI upstart buried that news in a “misalignment report” – that’s OpenAI-speak for its reports on rogue agents – titled “An agent used DNS to reach an external chatbot.” The good news is that the agent involved in this incident never reached the open internet. The bad news is that the agent, which was attempting to complete a search-based training task, was able to reach the chatbot due to insufficient DNS filtering in a training sandbox. Or as OpenAI put it, “a gap in our internet-access restrictions” – which was also a problem in the Hugging Face attack. “The incident exposed a gap in our controls over network restrictions,” the report reads. “We therefore stopped the affected training run and have subsequently decided to pause all other training, evaluation, and inference with tool-use (defined broadly) for our most capable models until we have both validated that the gap is resolved and performed additional red-teaming of the system.” Also on Friday, AI startup Parse published an analysis of the Hugging Face attack that the authors claim revealed new details including that OpenAI’s agent swarm gained credentials to Docker Hub and built modified versions of existing images they hoped would make it easier to complete their capture the flag mission. The agents also mapped Hugging Face’s Kubernetes environment. Friday got worse for OpenAI after the New York Times reported that its agents also “meddled with the websites for the Education Department, the Commerce Department and the Securities and Exchange Commission.” OpenAI acknowledged the incidents. The company also admitted “agents in our research environment transmitted training and evaluation data while using third-party services.” That mess saw 53 user-generated images posted to image hosting sites. OpenAI CEO Sam Altman responded by admitting that his company’s investigations into rogue agents “have not been as fast as we would have liked but we are trying to balance our desire for transparency with gaining a clear understanding from petabytes of agent activity logs, and working with impacted organizations.” One of those impacted organizations is the Australian government, which last week revealed it was the target of over-eager OpenAI agents that inappropriately accessed a healthcare research data portal. Over the weekend, Australia indicated it wants Altman and Anthropic CEO Dario Amodei to appear before a Senate inquiry. Australian leaders have softened their rhetoric on the incident, with deputy prime minister Richard Marles describing it as “minor” and akin to “climbing a fence” rather than cracking layers of security controls – perhaps because members of the opposition are suggesting that lax cybersecurity was to blame. If Altman and Amodei do front Australia’s Senate, they may face a new line of questions after Axios reported that their companies are investigating “tens of thousands” of worrying incidents. That level of agentic misbehavior sounds like the sort of thing that regulators might consider strong evidence of products being unsafe. Two very important people – Chinese president Xi Jinping and US president Donald Trump – seem unworried, as the AI-related result of their summit meeting last week was to establish a “China-U.S. AI Dialogue to exchange views on risks and benefits related to AI” plus “a bilateral communication channel for AI incidents.” That sounds like a hotline the two nations can use to inform each other of agentic incidents that either could see as signs of ill-intent. The two nations also decided their respective militaries will “conclude a memorandum of understanding on crisis communication and prevention as soon as possible.” China’s AI giants, meanwhile, remain silent on the extent and results of any tests they have conducted with agentic tools. ®
Amazon evaluating drone deliveries in Australia, Asia
Monday, 28 September 2026 03:12 amE-commerce giant Amazon.com is preparing to launch drone deliveries in Australia and other nations. “As Prime Air evaluates Australia and other countries, we are hiring a Head of Regulatory Approvals, Australia – the person responsible for navigating Australia's aviation regulatory system and securing every approval required to deliver to Australian customers by drone,” reads a recently published job ad. Whoever gets the gig in Australia will report to someone who holds the title “Leader, Prime Air Expansion – Asia Pacific.” The Register asked Amazon to comment on the ad, and which other Asian countries it plans to enter. The company had not responded at the time of writing. Whoever gets the job “will be measured by the approvals you obtain, the timelines you hit, and – ultimately – Australian customers receiving drone deliveries.” That wording suggests Amazon intends to operate Prime Air in Australia and is doing rather more than market evaluations. In August, Amazon said it plans to operate Prime Air drones in “nearly” 500 cities and towns across the USA this year. Meta and Singapore sling scammers Meta last week announced that information-sharing with Singapore Police helped the social media giant to identify a new variety of attack and led it to take action against more than 113,000 entities and pages connected to fraud and scams on Facebook and Instagram. Meta calls the new scams calls “shell pages” and says they “look empty and harmless” because they don’t include ads or content that violates Zuck’s T&Cs. “But scammers had pre-built infrastructure, ready to be activated for scam campaigns at a moment’s notice,” Meta says. “Working from SPF’s signals, in July 2026, we took action against over 3.6 million shell pages before they could be used – and we’re now pursuing further disruptions against this type of scam.” “Rather than responding to individual reports, this collaboration focuses on proactive network disruption – where SPF information helps Meta’s investigators identify and dismantle entire ecosystems of bad actors,” the company asserted. Meta didn’t say how scammers could sign up for 3.6 million pages without it noticing. Nothing has a plan to conquer India’s consumer tech market Consumer electronics outfit Nothing, which has carved out a small niche with well-priced Android devices, has decided to spin out its Indian subsidiary CMF. CEO Carl Pei explained the move as a bet on India’s growing electronics manufacturing industry spurring demand for local consumer tech brands. “Every country that has manufactured consumer electronics at scale has eventually produced its own global champions. Japan did. Korea did. China did, and I watched it happen over the better part of a decade living there,” he wrote. “India is next. It's already the world's second largest smartphone manufacturer, with the largest youth population on earth and one of its deepest software talent pools. What it doesn't have yet is a global consumer electronics brand of its own. That will change. The only questions are when, and how.” Pei thinks the how is spinning out CMF, a Nothing sub-brand that makes budget-priced phones, audio kit, and smartwatches. Bangkok floods – brace for supply chain impact When heavy rains and subsequent floods struck Thailand’s capital city Bangkok in 2011, facilities operated by hard disk manufacturers Western Digital and Seagate experienced damage that disrupted production for months. Bangkok was again hit by rain and severe floods last weekend, but to date The Register can find no evidence of problems at major tech companies. Western Digital and Seagate have not announced any issues, while hyperscalers Google, Microsoft, and AWS also report their local infrastructure is operating normally. Thailand’s government announced a two-day holiday to help residents clean up after the flood, which saw much of Bangkok under 30 centimeters or more of water. India’s top unis ban 22 vendors – maybe including Oracle – from recruiting their grads India’s 23 Institutes of Technology (IITs) are famed for producing exceptional technology talent that tech companies often strive to hire. However 22 companies – reportedly including Oracle – won’t be considered for graduate recruitment programs due to not following through on hiring promises. India’s Economic Times reports that the companies offered over 150 jobs to IIT students, but didn’t make the appointments. Another source claims Oracle is one of the 22 companies that the All IITs Placement Committee, the body which runs graduate placements, has decided not to deal with for two years. ®
Apple buried Copland 30 years ago. Now the failed OS boots in a browser
Sunday, 27 September 2026 12:30 pmThirty years after Apple abandoned Copland, its doomed attempt to create a modern Mac operating system, a new emulator lets you try the final developer build in your browser. Copland was intended to replace Apple's System 7 with a PowerPC-native operating system built around a microkernel, protected memory, and preemptive multitasking for system services. Three unfinished developer builds – D7E1, D9, and D11E4 – are publicly known. Relatively few people outside Apple's developer community in the mid-1990s ever had the opportunity to use them. Now you can boot Apple Copland D11E4 in your browser and explore the unstable prerelease OS without installing anything. Developer Michael Steil, also known as Mist, made it possible with an experimental fork of the DingusPPC Power Mac emulator. Steil says the 11 patches that enable DingusPPC to boot Copland were written with AI assistance. The upstream project does not accept AI-assisted patches, so the fixes would have to be rewritten before they could be incorporated. Don't expect miracles. The emulator runs D11E4, the final build Apple distributed to developers, dating from June 1996. It remains very much unfinished: if the emulated system hits an assertion, it drops into a debugger and asks the user to continue manually. Apple CEO Gil Amelio had demonstrated Copland at the company's 1995 Worldwide Developers Conference, but the project never approached the stability required for release. Much of Copland existed as plans and documentation rather than finished code. In 2009, Steil assembled an extensive archive of that material in Apple Copland Reference Documentation. There was also a planned successor to Copland, codenamed Gershwin, but it remained nothing more than a plan. The modern Gershwin desktop we covered a year ago is a nod to that nonexistent OS. Anyone familiar with the classic Mac OS of the late 1990s will recognize parts of Copland, and for good reason. Copland overran so badly that Amelio recruited the late Ellen Hancock from IBM as Apple's chief technology officer and tasked her with getting the project back on track. After reviewing its progress, she instead recommended cancelling it and acquiring an operating system elsewhere. Apple considered several alternatives, including acquiring Be for BeOS and working with Sun on a system based on Solaris. It ultimately bought NeXT, bringing Steve Jobs back to the company along with NeXTSTEP. Hancock was later sidelined under Jobs and resigned in 1997. Apple acquired NeXT at the end of 1996, just months after cancelling Copland. The first developer release of its NeXTSTEP-based successor, Rhapsody, followed in 1997 – continuing the musical codenames, if not the code. Rhapsody evolved into Mac OS X Server 1.0 in 1999 and the consumer release of Mac OS X 10.0 in 2001. Replacing the Mac OS architecture took years. While that work continued, Apple folded some of Copland's more mature components into updates to its existing operating system. Mac OS 8, released in 1997, gained Copland's Platinum interface and a PowerPC-native, multithreaded Finder. Its Appearance control panel supported themes, although Apple shipped only Platinum. Renaming what had been planned as Mac OS 7.7 also helped Apple end the clone program, whose licensing agreements covered System 7. Mac OS 8.1 followed in 1998 with HFS+, Apple's new format for larger disks. Later that year, Mac OS 8.5 became the first PowerPC-only release. Further pieces of Copland's work appeared across Mac OS 8 and 9, allowing Apple to improve the old platform while Mac OS X was being prepared. When Apple bought NeXT, NeXTSTEP already ran on Motorola 680x0, Intel x86, Sun SPARC and HP PA-RISC processors. That portable foundation later helped Apple move the Mac to Intel, while OS X became the basis for the operating systems used by the iPhone and iPad. Apple's future might have looked very different had Copland succeeded. Now it's easier than ever to see why it didn't. ®
Big AI's content problem: Take the work, keep the money
Sunday, 27 September 2026 11:35 amBig AI has a problem. Its companies must ingest other people’s work. You know, books, news stories, photographs, code, websites, that one original meme you came up with, and practically everything else on the internet to train its large language models (LLMs). We all know that. We also know that AI companies hate paying for any of it, obeying the licenses attached to it, or, God forbid, sharing their revenue with the companies and people who created the work in the first place. Recently, Big AI's default way of doing business: "Take it now, argue about legality later," has become more in your face than ever. Look, for example, at the copyright fight between The New York Times and OpenAI and Microsoft. According to 404 Media’s reporting on recently unsealed court documents - arguments from the plaintiffs that the court has not yet ruled on - Microsoft allegedly knew what it was doing when it was importing the internet willy-nilly. Microsoft's Director of Applied Science, Dr. Brent Hecht, was quoted in the news plaintiffs' 92-page combined brief as saying: the case was about “an astonishing theft of unprecedented proportions." Indeed, it was possibly the “largest theft of labor in human history,” he was quoted as saying in the summary judgment brief from the journalists' lawyers [PDF].This, mind you, wasn't a comment by a member of the press; it was from a senior Microsoft staffer. Hecht wasn't the only one at Microsoft who commented. In an internal Microsoft policy document also quoted in the court papers, the authors admitted generative AI could “significantly disrupt the employment of the very people who generated the data on which the foundation model was trained [because] LLMs are a product that destroys its supply chain.” That, in turn, leads to model collapse. Ironically, AI is killing the content-creator goose that lays the gold eggs of worthwhile content. Judge Sidney H. Stein of the US District Court for the Southern District of New York has not yet issued a decision on the case. OpenAI and Microsoft are actively disputing the plaintiffs' allegations under a "fair use" defense. They contend that using public articles and books to train large language models helps push forward public knowledge, and isn't acting as a "unlawful economic market substitute". But the statements the documents cites are real. Big AI knows it needs the content. Some of the companies concerned don't give a damn; money now, worry later is their motto. Those who can look past the revenue numbers are well aware they're engaged in what Microsoft itself called a “doom loop” of AI content strategy in those unsealed court documents. Will that stop them? Nah. According to the filing [PDF], which refers to sworn deposition testimony of OpenAI’s own corporate representative, it also testified that its LLMs were happy to vacuum up other people's work even when a paywall nominally protected it. Its rep was quoted as saying they were unaware of “any effort to detect paywall content in its training datasets” or “to remove paywall content from its training datasets.” When OpenAI cofounder Greg Brockman was told OpenAI could hack its way through the firewall, he responded, “ah, nice.” Whether or not these statements are found to be reflective of a wider attitude, similar attitudes prevail amongst Big AI. Such policies could eventually come back and bite the LLM makers; it's already affecting the market for journalism, fiction writing, graphics creation, anything that demands humans actually get paid for producing original work. But Big AI just doesn't want to pay for it. That's not a side effect. It's the business model. Joe User couldn't care less. They just want a quick answer that sounds right. Some of them couldn't care less about getting the right answers. As for looking deeper to see if the information they're regurgitating is accurate, forget about it! As an OpenAI software engineer put it: “No matter how prominently we show the links, users won’t click.” Well, I click. That's a big reason why Perplexity is my AI of choice. It's not that it gives a more reliable answer. No, it's that, unlike most LLMs, Perplexity provides sources and links, and I check them before accepting what it tells me. But then I'm a journalist whose degrees are in history, where my professors drummed into me that you always - always - look at the primary sources. Big AI takes the same approach with its code generators. The US Ninth Circuit recently handed GitHub, Microsoft, and OpenAI a narrow win in the Doe v. GitHub lawsuit. The court ruled that the plaintiffs hadn't established a claim under one particular provision of the Digital Millennium Copyright Act (DMCA), which concerns the removal or alteration of copyright-management information (CMI). In short, the court said that generating new code without including CMI is not necessarily the same thing as removing or altering copyright information from an existing work. Judge Eric Miller wrote: “One who creates a new work and fails to include CMI cannot be said to have ‘removed’ or ‘altered’ anything.” This ruling didn't establish that GitHub Copilot or any other coding model may train on every open source project without restriction. It didn't determine that copying source code into a training set is always fair use. It did not decide that generated code cannot infringe copyright. And it certainly did not repeal the GPL, Apache, BSD, MIT, or any other open-source license. After all, open source isn't a synonym for “do whatever you want with it.” It just seems that way when AI gets its hands on open source code. That's the problem with AI-generated code. A programmer who receives a Copilot suggestion is very unlikely to check whether the GPL covers the code, or whether Apache covers the snippet from a library. The developer certainly can't tell which license terms may apply to the code that just popped up from Opus 5.5 or GPT 6. As the guy from OpenAI said, people don't click the links, and in AI-enabled programming pipelines, they don't even have the links anyway. An open source-savvy attorney friend of mine has a bigger worry than this narrow decision. He told me that what gives him "pause is a broader trend. There are multiple cases where parties are litigating open source licenses as contracts rather than as the IP / copyright licenses they were written to be. Contract theories let a plaintiff sidestep the questions copyright forces you to answer. 'Do you own the work? Is it protectable expression? Was it actually copied?'" He added: "Those questions are the foundation on which licenses are built. Open source licenses are grants of permission to use someone's intellectual property. If a case can't show that any intellectual property was owned or infringed, it's fair to ask whether enforcing the license as a bare contract supports open source licensing or quietly turns it into something else." With AI in the mix, this issue will eventually become one of those nasty IP matters developers hate, businesses want to avoid, but that courts must settle with expensive lawyers whose hourly rates worry even AI millionaires. After all, IP uncertainty isn't a minor paperwork issue. It is a supply-chain security and compliance problem. If you use AI-generated code, you may be importing unknown legal obligations into your software. If you are an open-source developer, your work may be used to improve a proprietary service that returns code without provenance, attribution, or meaningful reciprocity. And if you are a customer, you may be relying on software whose origins no one can fully explain. The Ninth Circuit ruling didn't solve any of that. We're in for a lot more open source litigation that will make SCO vs. the known Linux universe look like a kerfuffle over a parking ticket. Then there is the latest wrinkle: A federal antitrust lawsuit against Anthropic, OpenAI, SpaceXAI, and Google. The plaintiffs allege the companies coordinated to slow the development of advanced AI systems. The lawsuit points to public statements from AI leaders all calling for coordination to “pace” frontier AI development over a single weekend. Anthropic CEO Dario Amodei has argued for industry-wide coordination to slow frontier development. OpenAI CEO Sam Altman, Google DeepMind co-founder Demis Hassabis, and Elon Musk have also publicly expressed versions of the view that powerful AI systems need controls and careful deployment. On its face, that sounds sensible. AI safety is a real issue. Anyone who says otherwise has not been paying attention. But there's a huge difference between all big AI players agreeing among themselves on how quickly a market should develop. This looks like an awful lot like competitors deciding who gets to compete, what they get to build, and when they may build it. The Big AI companies all look like good guys while simultaneously strangling their smaller competitors. To mere mortals, this may sound like an open-and-shut case. It's not. Antitrust law requires evidence of an agreement and actual harm to competition; executives making similar public comments is not enough. The plaintiffs will need considerably more than quotes about AI safety or responsible development to win. Besides, if they do win, so what? What recently looked like huge antitrust wins has had its teeth pulled when it came to actually punishing the likes of Google and its ad business, or its earlier "lose the case, win the settlement" with Google Search. Do you see the pattern here? Big AI has effectively argued that copyright law, open source licenses, and competition rules shouldn't slow them down. When creators object, they are told that training is fair use. When developers object, they are told that generated code is new code. When competitors object, they are told security requires the largest companies to coordinate. Funny how the answer always seems to leave Big AI with the data, the market, and the money, isn't it? The central issue isn't whether AI should be allowed to develop. It will develop. The issue is whether the companies building it should be allowed to treat everyone else’s work as a free raw-material supply, then use the resulting products to take away the creators’ traffic, revenue, and bargaining power. Unless we stop Big AI now from this land grab with GPUs, only a handful of trillionaires will really benefit from AI, with the rest of us becoming serfs in a 21st-century post-technology feudal system. ®
How Samsung turned months of inactivity into a very attention-seeking smartphone
Saturday, 26 September 2026 12:27 pmOur resident Microsoft-watcher Richard Speed last week wrote about his seven-hour odyssey bringing a Windows 11 box up to snuff with the latest patches. I’ll see you that struggle, Richard, and raise you my experience updating a 2022-vintage Samsung Galaxy A33 Android smartphone. I spent about a year using the A33 as my daily driver and while it always did a job, the midrange machine is far from the speediest of smartphones and therefore a little frustrating to use. When a great deal for a premium handset came along I splashed some cash and shelved the A33 as a spare, safe in the knowledge that Samsung has promised to support it with new security updates until 2027. I store the A33 in the Basket Full Of Old Tech I Should Probably Have Thrown Out But Kept Just In Case, which sits on the floor of my home office – a room that gets no direct sunlight but is small, warm, and dry. All through the mild-if-clammy winter here in The Register’s Sydney, Australia, eyrie, the phone insisted it had moisture in its USB-C port and refused to charge. Because it’s a budget model, topping it up with wireless power isn’t an option. Spring has since sprung, so when the mercury topped 30°C (86°F) last weekend I left the phone in a warm and breezy spot for an afternoon. The phantom moisture evaporated, and before long I had the phone charged and running. Within seconds it suggested installing an OS update from April 2025, followed by six more – each of which required manual consent for download and install. The A33’s sluggishness soon manifested as an overlapping mess of updates in progress and reboots to finish installation of the last update. Every few minutes, the phone wanted me to approve or schedule a new download, or log back in. The phone is not so important to me that I needed to get all the updates installed ASAP. Two days of occasional attention at mealtimes and bedtime earned me a slow, old, but functional backup phone. My experience led me to concur with Mr Speed’s excellent argument that vendors need to ship better software so they’re less reliant on updates – and improve the process of updating devices. For Samsung that means rolling up past updates into cumulative downloads so leaving a device offline for a few months requires one intervention to modernize a device. The Korean giant could also do well to detect when a handset needs multiple updates and then inform users that its Smart Switch desktop app makes it possible to install cumulative updates in one fell swoop. ®
Space Jam: UK debuts space squadron to protect satellites
Saturday, 26 September 2026 10:08 amBritain’s Royal Air Force has gained some space cadets, in the form of No. III Space Effects Squadron, tasked with protecting critical satellites that the UK relies on for communications and navigation. Air Chief Marshal Sir Harvey Smyth announced the new unit at an inaugural UK Space Power Conference in London, saying it will safeguard the vital benefits that space gives to our armed forces, and be capable of denying those benefits to our adversaries. Smyth added that the RAF’s headquarters at High Wycombe transitioned to become Air and Space Command just a few weeks ago. According to the MoD, the existing No. I Space Operations Squadron and No. II Space Warning Squadron give the RAF the ability to watch and warn of threats in space, but the latest unit will have the ability to act against those threats. How, you might ask, given the UK has limited launch facilities and no anti-satellite missile systems, as far as we are aware? This will be accomplished using “advanced technology,” we are told, including electronic warfare, to “disrupt, degrade and deny hostile actions.” In fact, the government says the UK has formally ruled out destructive anti-satellite missile testing, and instead continues to work through the UN Committee on the Peaceful Uses of Outer Space. That implies the use of ground-based jamming systems to disrupt or neutralize any nefarious foreign satellites. We asked the MoD for further details on what the space force’s capabilities consist of, exactly, but a spokesperson told us there is not much more that can be said as the information is classified. However, the MoD does say the squadron will support both offensive and defensive space operations and will expand over time as new capabilities enter service. The MoD states that satellites are critical for both national security and daily life, enabling intelligence gathering and missile warnings, while also providing telecoms and weather forecasts. The emergency services rely on satellite navigation systems for emergency responses, and energy networks use the same systems to organise power grids, making use of the precise time coding in such signals to synchronise operations. Last year, The Register reported that the MoD was working with the UK’s Space Agency on finding ways to protect orbiting satellites with technology that can spot when lasers are being used to try and dazzle them and disrupt communications. Four countries are known to have tested anti-satellite missiles; the US, Russia, China and India. The most recent incident was when Russia destroyed one of its own defunct orbiters in 2021, endangering the International Space Station. The ISS also had to conduct manoeuvres the same year to avoid space debris created by China blowing up one of its own satellites years earlier. In 2022, the United Nations passed a US-led resolution calling on countries to commit not to conduct any similar anti-satellite missile tests. That hasn’t stopped China, for one, looking at other ways of taking out orbital assets if it considers it necessary, looking at employing lasers and high-power microwaves to disable them. The US Space Force also claimed to have observed Chinese satellites practicing “dogfight” manoeuvres in orbit. ®
Valen creator drives 'Golden Spike' to connect new languages with Rust
Friday, 25 September 2026 10:15 pmProgramming language generics can now ride in style from one language’s compiler to another and back again, thanks to experimental work from Mojo core contributor Evan Ovadia. This former Google engineer has endeavored to turn Rust into a library that other languages can build from, demonstrating a way to pass generic data types and functions between Rust and another language, an action the C ABI doesn’t support. “Technically, this is the most fascinating thing I’ve read in months,” enthused the host of the Let’s Get Rusty YouTube channel, explaining the work, which he characterized as “Rust++.” That's a geeky but hard-won victory to be sure. Ovadia describes his work in an explanatory blog post as the “Golden Spike” that intertwines two different languages, referring to the final spike hammered into the United States’ first transcontinental railroad line. Instead of being stripped down into raw primitives just to be crammed into the coarse wagons of C ABI, libraries of rich capability can be sped to foreign ecosystems on sturdy, high-speed rails. Ditching the C ABI at last The work came about in Ovadia’s effort to create his own language, Valen (an offshoot of an earlier effort called Vale), which he envisions as a speedier, more dev-friendly version of Rust. The problem with creating a new language from scratch, he reasoned, was that he couldn’t use his favorite Rust libraries (notably Rust’s bitchin’ wgpu graphics library). Today, a common way to use a library from one language in a program written in another is through the C ABI (application binary interface), a de facto interoperability layer that defines conventions for passing data and function calls between compiled code. (Rust has its own ABI, though it does not offer stability guarantees.) With the C ABI, if a Rust library exposes its functions as extern "C" and exposes its types as repr(C), then they can be accessed from another language using a Foreign Function Interface (FFI). All well and good, but the problem Ovadia had was that the C ABI did not understand the concept of generics (or placeholders for data types to be provided later), because C itself doesn’t understand the concept of generics. But Rust uses generics quite a bit, and so does Valen, though not in the same way. “So the central question, the central mystery to solve, is how do we do cross-language generics?” Ovadia wrote. Cross-language generics at last Getting two compilers to collaborate is super tricky, as compilers tend to be isolated entities, solitary kings of their own individual worlds. So Ovadia needed to come up with a way for Valen to call a Rust generic function, but also have a Rust generic function that calls back into Valen for needed values. After much rumination, Ovadia arrived at a two-part solution to cross-language generics: first, run the Rust compiler as a library. Surprisingly, Rust already possesses this capability (rustc_driver), which would allow Valen to embed rustc directly into its own memory space. The second step would be to patch Rust so that when it encounters non-Rust Valen types, it hands control over to the Valen compiler to handle its portion, and waits for the compiled result. Ovadia admits that patching the Rust compiler was the “nuclear option.” “Honestly, this was the riskiest part of the whole endeavor,” he wrote. The patch itself is only about 100 lines of code, but it is hacky and assumes Rust is using LLVM for machine code generation, which isn’t always the case. “It works, but it's definitely not upstreamable,” Ovadia wrote. Nonetheless, Ovadia’s cross-language bidirectional generics are a genuine step forward in programming language interoperability. Ovadia has his hands full with Valen at this point, though his cross-language generics work opens the possibility of using Rust to bootstrap other new languages that can be built from Rust libraries. Given a few modifications to Rust itself, the reliance on the creaky C ABI may one day be a thing of the past. On the Reddit and Lobste.rs programmer forums, observers praised Ovadia for tackling such a difficult problem, even as they fretted about the details. “I appreciate the move to replace C as the ‘universal FFI language,’” one commenter wrote. "It is a very bold choice and would require effort.” Another reader commented that Rust may not be the ideal language for interoperability, given the limitations of its own type system. “However, imagine you could build bindings on top of Ada! Now that would be amazing,” they wrote. ®
Microsoft cells out, crams multiple values into Excel boxes
Friday, 25 September 2026 09:58 pmMicrosoft has ended 40 years of single-occupancy for Excel cells and is now allowing multiple values to inhabit the same home. "One of the oldest rules of spreadsheets: one cell, one value," said Jake Armstrong, senior product manager for Excel, in a LinkedIn post. "No longer!" "I’m excited to announce a set of new features: Lists, Arrays in Cells and Nested Arrays in Excel." For the time being, this capability is only available in Microsoft Excel for Windows and Mac Beta Channels. And it is opt-in. To make the case for lists in cells, Armstrong in a blog post explained that each Excel project can have multiple owners. "Traditionally, you'd need separate columns, helper tables, or text like 'Carlos, Henrietta, Jacob' packed into a single cell," he explained. "With lists, you can keep those values together in one cell while still working with each item individually. Project owners stay connected to the project they belong to, while remaining available for filtering, calculations, and analysis." And he goes on to cite the potential utility of arrays in cells and nested arrays for expanding the kinds of information that Excel spreadsheets can represent. Armstrong's enthusiasm for multi-value cells comes with a caveat that this is a preview feature and shouldn't be used in important workbooks until general availability. Among those commenting on Armstrong's LinkedIn post, several people suggested the change has the potential to break things and hinder auditability by making business logic less visible. External software libraries that expect cell.value to return only a string, number, boolean, or date may need to be updated to handle a new data type – though Microsoft hasn't yet published how lists, arrays in cells, and nested arrays will be represented in .xlsx XML. This includes libraries like openpyxl, pandas, and calamine. The same goes for applications that import Excel data and don't yet have any concept of multi-value cells, like CSV export, Google Sheets, LibreOffice, and older Excel builds. And users of Excel may need to flatten lists and arrays to make multi-value cells work with existing features like PivotTables, at least until those features have been adjusted to accommodate the new cell structure. ®
Uncle Sam coughs up $1.9B for grid upgrades as datacenters hit a power wall
Friday, 25 September 2026 09:26 pmBit barn builders can rejoice, because this week the US Department of Energy (DoE) announced $5.25 billion — including $1.9 billion of federal funds and $3.35 billion in cost-share funding — to support dozens of grid improvements across the nation expected to unlock an additional 23 gigawatts of capacity. The program, which spans 31 specific projects in 26 states, is part of the department’s Speed to Power through Accelerated Reconductoring and other Key Advanced Transmission Technology Upgrades (SPARK) initiative with federal funding made available under the Grid Resilience and Innovation Partnerships (GRIP) program. Uncle Sam sure does love his acronyms. “These investments will get more out of the infrastructure we already have, move more electricity across the grid, and help deliver affordable, reliable, and secure power that will fuel American prosperity for decades to come,” US Secretary of Energy Chris Wright said in a statement. Rather than bringing new power generation capacity online, the projects aim to unlock additional capacity by reconductoring or rebuilding more than 1,500 miles of transmission lines and deploying grid-enhancing technologies (GETs), like sensors, power flow control devices, and analytical tools across 21,000 miles of American grid infrastructure. Additionally, participants working in areas prone to natural disasters will work to improve grid resilience and mitigate wildfire risks. The agency claims the program will help improve reliability and lower electricity costs for roughly 100 million Americans. And, to quote former Senator Mitt Romney, “corporations are people, my friend.” And, of course, bit barns are run by corporations. While the program should help to address power constraints faced by datacenter operators as they attempt to cash in on the AI boom, it may not be enough. Earlier this month, financial services biz Moody’s warned that the pace of datacenter construction exceeds the speed at which the US grid can add the required capacity. By 2030, Moody's estimates US datacenter electricity consumption will reach 426 TWh, nearly double the 2025 figure. This reality has prompted a flurry of investment in alternative energy technologies, including small modular reactors, geothermal generation, and even the recommissioning of aging nuclear plants. Meanwhile, chipmakers like Nvidia are pushing hard for smarter, more connected, and by extension more efficient datacenters that can release capacity back to the grid when necessary. ®
Fake Google Security Team ad says 'no script reading' in voice phishing - then prints the script
Friday, 25 September 2026 09:13 pmYes, criminals have job listings too. A Telegram user recruiting callers to work in an apparent Google Security Team voice-phishing scam told applicants that they weren’t allowed to read from scripts – in the same ad that also included the exact script they had to read during these scam calls. This and other true-crime tales of criminals making fools of themselves appear in the latest installment of the Trellix Advanced Research Center’s Dark Web Roast, which uses memes and mockery to troll criminals on the dark web. It also acknowledges: “While these incidents are genuinely amusing, they represent real criminal activities causing significant harm.” One of these incidents from August involves a Telegram user identified by Trellix as Derian (@crɑick) who posted an ad in the UK Fraudsters Telegram channel. “Hiring - Female/Male Mail Callers,” the advertisement said, seeking “USA/CA (white sounding)” applicants and, in bold, “NO SCRIPT READING.” The ad then proceeded to print the exact script the callers would read: “Good afternoon, this is [name] reaching you on behalf of the Google Account Security Team on a recorded line. Am I speaking with Larry Boyles?” The Trellix threat-intel analysts note that the “‘recorded line’ flourish is a nice touch, because nothing says legitimacy like a fraudster cosplaying compliance theatre. The pretexting playbook is depressingly effective, but the recruiter’s QA process is roughly as robust as the fake Google team it impersonates.” Burn, baby, burn. The Register previously spoke with Trellix VP of threat intelligence strategy John Fokker about the Dark Web Roast, and he said the idea came from a desire to take an "almost psyops" approach to covering the criminal underground. "We don't want to glorify them, what's the opposite we can do? We're going to roast them," Fokker told us during a conversation at RSAC. "I'm trying to spark a debate, or a healthy conversation, about what we can do as an industry," he said. "Everybody's glorifying threat actors, and that's not helping our customers or organizations. These are just individuals, they just use computers, and they just want to steal your data and make money. They're not mythical. They don't have superpowers." The FBI’s Internet Crime Complaint Center (IC3) recently reported its most damaging year for internet scams, with 2025’s data pegging reported losses at $20.87 billion, and English-language social engineering is among the most in-demand skill sets on underground forums. One report by threat detection and response firm ReliaQuest found the number of job advertisements posted on criminal marketplaces mentioning this particular talent more than doubled between 2024 and 2025. Plus, according to Google, voice phishing surged last year to become the second most common method used by cybercriminals to gain initial access to their victims' IT estate – and the No. 1 tactic used when breaking into cloud environments. So when these criminals do dumb things, we’re happy to see Fokker’s team call them out.®
New software dependency validation process increases speeds by 54x
Friday, 25 September 2026 08:57 pmAs if the pace of software creation hadn't accelerated enough thanks to generative AI coding agents, computer scientists in Japan have devised a way to turbocharge the process of build dependency verification. Speeds can increase by as much as 54x. Software build systems like Make, CMake, and the Zig build system automate the process of turning source code into executable programs. They ensure source files are compiled in the correct order and objects are linked correctly. They provide reproducible rebuilds and handle platform-specific compilation requirements, dependencies, tests, and documentation. But according to Yuta Saito, Kazunori Sakamoto, and Hironori Washizaki from Waseda University, dependency specification management remains a challenge, accounting for more than half of all build errors in large projects. Because existing tools like ptrace impose significant overhead, the researchers have devised a way to improve error detection by analyzing dependencies using extended Berkeley Packet Filter (eBPF)-based system call tracing. They've developed a tool called mkcheck2 that reduces the time and compute cost required to catch software build errors. And they explain their approach in a paper titled "Efficient Build Dependency Verification Using eBPF and Incremental Analysis," published in the Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering. "Our evaluation on a diverse set of open-source projects demonstrates that mkcheck2 reduces the overhead of dependency error detection by up to 99.7 percent compared to existing ptrace-based approaches while maintaining detection accuracy," the authors explain. "Across the entire 300-project Make corpus, the incremental analysis technique lowers the mean analysis time per commit from 1267.49 seconds to just 23.56 seconds, making continuous dependency verification practical in real-world development environments." That's about 54x faster per commit. The researchers say their eBPF-based system call tracer largely avoids the performance overhead imposed by ptrace. eBPF allows sandboxed programs to run within kernel space, where they can perform tasks involving networking, observability, security, and other low-level operations. It's been used for efficiency gains in services like Meta's Strobelight. "By executing tracing code directly in kernel space, we can monitor build processes with minimal impact on build performance," the authors explain in their paper. "Unlike ptrace, which requires process suspension and context switches for each system call, our eBPF-based approach provides non-invasive tracing by operating entirely within the kernel." The authors note that their approach has some limitations. The eBPF-tracing system is Linux-specific, so build systems for other operating systems can't expect the same gains. And there are various build-system scenarios that still present challenges, such as some kinds of redundant dependencies, tracking access to memory-mapped regions, visibility into dependencies for dynamically loaded libraries, network dependencies, and distributed build systems. Nonetheless, the potential for mkcheck2 to cut the overhead of dependency error detection by up to 99.7 percent compared to ptrace-based approaches promises to save a lot of time. ®
ShinyHunters tells The Reg: We hacked the FBI to 'protect our business'
Friday, 25 September 2026 08:23 pmShinyHunters, the data theft and extortion crew that has stolen sensitive information belonging to millions of cancer patients, university and K-12 students, and Carnival cruisers, wanted to preserve their reputation and keep their “business” afloat. So it hacked the FBI to make a statement, the group told The Register. “It’s a game and it’s the world we live in,” a ShinyHunters spokesperson told us. “We are just protecting our business as any other business would do. It’s about who does their job better.” On Friday, the FBI confirmed the breach to The Register, after earlier in the week saying the bureau was investigating ShinyHunters’ claims. "The FBI is aware of a cyber-criminal enterprise group claiming a compromise of the FBIJobs.gov portal and alleged impact to FBI employee personally identifiable information (PII),” an FBI spokesperson told The Register. "While the point of breach is still undetermined - whether a third-party or the FBI’s enterprise - we are actively and aggressively investigating this matter and working closely with those third-party providers that support FBIJobs.gov to mitigate any and all risk." On Tuesday, the criminals told us that they broke into the bureau via yet another Oracle PeopleSoft zero-day flaw in the FBIJobs.gov portal, which remains down as of Friday. Then, they breached the FBI’s managed servers on AWS GovCloud and swiped thousands of personnel files belonging to current, former, and prospective FBI employees. “We hold very sensitive data on almost ALL FBI Agents and individuals who filed an application with the FBI for a job,” the group claimed in a message posted online and addressed to FBI Director Kash Patel and Brett Leatherman, assistant director of the FBI’s Cyber Division. Sample files reviewed by journalists and security researchers appear to contain agents’ home addresses, phone numbers, email addresses, Social Security numbers, job titles, assigned field office, and emergency contact information. 'We refuted the misinformation disseminated by the FBI' According to a spokesperson for ShinyHunters, the FBI hack isn’t about the money, and the crew did not demand a multimillion-dollar extortion payment to not leak the agents’ personal details. “Our breach of the FBI was executed specifically to contest the allegations made against ShinyHunters in their May 2026 FLASH report,” a spokesperson told The Register. The FBI bulletin, published soon after the group breached ed-tech giant Instructure's Canvas platform and claimed to have stolen data tied to hundreds of millions of students, teachers, and staff, said ShinyHunters uses “harassment strategies, sending threatening text messages and phone calls to victims and their family members, and in some cases, swatting.” The criminals, it continued, “may falsely claim to have sensitive or compromising information, including embarrassing photographs or videos of victims, which frequently do not exist.” ShinyHunters contends this is all false. By hacking the FBI and releasing its statement about the hack, “we demonstrated our technical capabilities and directly refuted the misinformation disseminated by the FBI, journalists, and industry researchers,” the spokesperson told us in an interview. “This was fundamentally a public relations and marketing initiative for our business,” they said. 'Results-driven professionals' or criminals? ShinyHunters said it believes that “future corporate partners we engage with for payment will review this documentation, reinforcing our reputation as serious, results-driven professionals focused solely on transaction and resolution.” Most people call these "future corporate partners" victim organizations, breached by the digital thieves, and threatened with data leaks unless they pay an extortion demand. The FBI intrusion “establishes our credibility, technical superiority and excellence, and capability with future corporate stakeholders, positioning us as a professional and predictable entity focused on concluding negotiations efficiently,” the spokesperson said. It also puts a huge target on the crew, and we’d bet that the FBI, already gunning to arrest ShinyHunters members, is now doubling down on those efforts. The spokesperson said they and others in the crew started off as GnosticPlayers before rebranding as ShinyHunters in 2020, and that they have since seen the “majority” of GnosticPlayers members arrested. This business, however, is a criminal operation. We asked them why they believe people will trust the words of criminals over those of law enforcement. They said it’s due to ShinyHunters’ “unique and exceptional reputation along with over five years of history in the space…We are in a unique position and due to our vast capabilities and resources, victims are more likely to resolve the situation quickly and cheaper with us instead of going down the full disclosure route.” Think of the children We also questioned how they justify doing what they do in this “business” - breaking into IT systems, stealing data, extorting victims - considering the personal toll it takes on people, especially when the stolen files contain sensitive information about children as they did in the Canvas intrusion. ShinyHunters claims that they “don't attack human beings. We attack the corporate structure. The Business. Not human beings. The money comes out of insurance pocket. Not people’s or businesses' own. Full coverage by insurance. No personal harm is being done, only business harm that they recover from within a quarter considering the type of attack.” Ransomware and other disruptive attacks are “substantially worse and costly,” they said. “There are times in the work we do sometimes we have to push the corporate to the absolute limit to get them on the table,” they continued, noting that there was an “initial issue” with the Canvas intrusion “that we cannot comment on, but it highly relates to the misinformation we are combating. It takes a lot of convincing to bring a corporate to the table to negotiate if they think you are not trustworthy and bluffing/exaggerating what you have.” While we don’t know for sure what this issue was, ShinyHunters switched to school-by-school extortion after compromising Instructure, the company that owns the Canvas online learning platform, in late April and after the initial pay-or-leak deadline passed on May 6. They injected a ransom message into about 330 Canvas school login portals, causing Instructure to take the platform offline for a day - during final exams and Advanced Placement testing for many. Meanwhile, that PeopleSoft 0day The ed-tech company ultimately “reached an agreement” with ShinyHunters, which is corporate-speak for they paid the extortion demand. Alliance Risk CEO David Vainer previously told The Register he estimates the figure sits somewhere between $5 million and $30 million. According to ShinyHunters, the PeopleSoft preauth vulnerability that they exploited in the FBI attack still doesn’t have a patch. Oracle hasn’t responded to The Register’s questions about the zero-day, or any plans for a patch. Shiny had “no comment” about whether the gang has abused the PeopleSoft bug to compromise other organizations. But they added: “the zero-day would allow us to access similar HR/Employee personal information for other corporations who are vulnerable.” They wouldn’t put a dollar amount on how much they earn from extorting businesses, but boasted: “our revenue performance significantly outperforms both our counterparts and legitimate real life businesses. We have reason to believe in a few months or soon an upcoming financial analysis or reports tracking our earnings will reflect substantial revenue growth.” And they would not comment when asked if they worried about getting arrested and criminally charged for their digital intrusions and extortion attacks. ®
Google-backed energy outfit brings 33 MW of 4 GW geothermal potential online in Utah
Friday, 25 September 2026 08:02 pmGoogle's bet on geothermal energy is starting to pay off. Fervo Energy, an enhanced geothermal systems (EGS) provider backed by the Chocolate Factory, achieved first power at its Cape Station power plant in Beaver County, Utah this week. The first of three 33 MW GeoBlocks has begun supplying electricity to the grid and is expected to reach commercial operation next week, with another 66 MW of capacity expected to come online by New Year. Fervo says the station has the potential to eventually scale to more than four gigawatts of capacity. For now, the company is working toward fulfilling 900 MW of contracted capacity. The deployment builds on years of research and development into EGS technologies that use heat generated by the Earth's crust to convert water into steam, which, like in most other power plants, is converted into energy using turbines. The trick is getting the water deep enough in the first place. To overcome this challenge, Fervo borrowed technologies originally developed by the oil and gas industry. Two parallel wells are dug to around 8,000 feet (2,438 meters) below the surface. The rock is then fractured to allow water to pass between the two, heating the water to 190 degrees Celsius in the process. Back in 2023, Fervo demonstrated the tech at its Project Red site, which was capable of generating a modest 3.5 MW of power. Fervo’s Cape Station is orders of magnitude larger in scope. While the plan is expected to produce just 100 MW of capacity by January 1, its capacity is expected to swell to half a gigawatt by 2028. One of the major beneficiaries of the buildout is Google. The search and advertising giant has been an early proponent of geothermal power generation going back to at least 2008. In addition to its deal with Fervo, Google has also agreed to buy power from Ormat Technologies’ competing geothermal operations. Earlier this year, the Chocolate Factory announced a 150 MW deal with Ormat and Nevada’s NV Energy to fuel its datacenter expansion. Faced with grid constraints, Meta has been investing in the tech. Back in 2024, the company partnered with Sage Geosystems to deliver up to 150 MW of power. However, compared to conventional energy generation, geothermal still faces challenges as noted by think tank Rhodium last year. While the firm estimates the tech could meet up to 64 percent of datacenter demand by the end of the decade, those bit barns could end up paying a 20 percent premium for it. ®
Crooks use fake desktop apps to fool HR staff into giving them remote access
Friday, 25 September 2026 07:29 pmYou work in your company's human resources department and use HR software to check employee information, benefits, and payroll. So, when you see a downloadable Windows version promising a faster alternative to the usual web interface, you grab it. Unfortunately, the app isn't what it claims to be. Instead, it silently installs ConnectWise's legitimate ScreenConnect software, giving the operator persistent remote access to your PC. Cybersecurity outfit Allure Security reported the discovery of the campaign Thursday, describing it as the latest evolution in a trend of abusing ScreenConnect and other remote monitoring and management software. This time, the main giveaway is knowing what the vendors actually sell: None offers the Windows app being advertised. According to Allure, the campaign impersonates three unnamed US-based HR and payroll platforms by offering fake desktop clients for those providers’ software. In all three cases, those companies don’t offer a desktop client, meaning all it takes is an unaware HR or payroll clerk tricked by promises of superior performance to potentially expose some incredibly sensitive company data. Allure said that it’s not sure how potential victims are being targeted by the campaign either, but those who have been targeted may not pick up on anything being wrong. Clicking through to the website offering the fake app brings up a legitimate-looking site built using AI app builder Lovable and hosted on Vercel. The site is hidden behind the cloud host’s bot challenge page, meaning scrapers haven’t been able to index it and expose the scam. Further obscuring the malicious nature of the campaign, the downloads are hosted on a GitHub Releases page, meaning they point to a trusted domain. Once downloaded and executed, the installer presents the victim with an actual Microsoft installer to make it appear like a legitimate piece of software. It actually installs the Microsoft .NET Desktop Runtime 8.0.26, so it goes through the entire process and shows that an installation completes, but nothing ever pops up, leaving the victim unclear as to where their desktop app went. That’s not all the installer is doing, of course: It’s also running a quiet, no-interface installer to drop the ScreenConnect client on the victim’s machine. “The [ScreenConnect] access mode is set to unattended,” Allure notes. “The victim-facing indicators are turned off: no ‘your machine is being controlled’ banner, no system-tray icon, no connection balloon.” The silent install is also configured to launch on boot, and stay connected across various user sessions, giving the attacker “a quiet, persistent, interactive foothold,” says Allure. “Nothing in this chain is malware in the usual sense,” the infosec outfit said. “The page was generated by a legitimate AI builder and served by a legitimate host. The download came from a legitimate code platform. The one window the victim saw belonged to Microsoft. The thing that was installed is a legitimate RMM product, doing what it was designed to do, for someone who was never supposed to have it.” In other words, security teams have some work to do before they even check the indicators of compromise that Allure included in its report: Check with HR and payroll vendors to see if they offer a desktop app, and if not alert all members of those teams to this campaign. For those hoping they haven’t fallen victim, the actual number of victims remains unknown. Allure said the GitHub download counts across the three fake downloads totaled 291 as of its report. Some of those came from Allure’s researchers, and possibly other researchers and sandboxes too, so the download count can’t be used to determine how many victims there are. ®
Bitget blames North Korea for $387.5M crypto wallet raid
Friday, 25 September 2026 07:04 pmThe CEO of crypto exchange Bitget has confirmed that a cyberattack with all the hallmarks of a North Korean operation resulted in approximately $387.5 million worth of digital assets being stolen from the exchange’s wallets. Bitget initially estimated the loss at $351.6 million, but later revised the figure to $387.5 million after identifying additional affected assets on Zcash and TRON that were not included in the initial estimate. Blockchain intelligence company Arkham published its preliminary observations of the attack, estimating at the time that roughly $350 million was stolen and that $228 million left Bitget’s wallets in 18 minutes, between 18:58 and 19:16 UTC. Arkham said $153 million worth of XRP was taken from a wallet it identified as a Bitget cold wallet, while the stolen assets also included $66.2 million of ETH, $34.8 million of USDT, $12.9 million of USDC, and $12.8 million of Tether Gold on Ethereum. Other affected networks included Arbitrum, Optimism, BNB Smart Chain, Avalanche, and Base. However, Chen said Bitget's cold wallets and customer balances remained unaffected, while its User Protection Fund held more than $464 million worth of assets. “To be transparent about our financial position: beyond the $464M+ Protection Fund – all held in publicly verifiable wallets – Bitget holds over $1 billion in its own assets,” Chen said. “User funds are covered on a 1:1 basis.” Chen also explained that Bitget Wallet, the company’s self-custody product, operates on infrastructure separate from its exchange, and Bitget users can still make deposits and trade their tokens, despite withdrawals being temporarily suspended while additional security checks are completed. Bitget said it also engaged incident response giant Mandiant and blockchain security outfit SlowMist to help with the investigation into the attack. Chiefs at fellow exchanges rallied around Bitget in support. “MEXC stands ready to support Bitget in any way we can,” said CEO Vugar Usi. “In moments like this, the industry is stronger when we stand together.” Binance co-CEO Richard Teng also pledged Binance's support for Bitget, saying it had shared intelligence and helped trace the stolen funds. Ben Zhou, CEO of Bybit, said his company was on standby to “help in any way we can,” noting that Bitget helped it out following the $1.5 billion Bybit theft the FBI attributed to North Korea in February 2025. How and who Root cause analyses typically take some time, although according to Chen, Bitget's security team has already identified the wallet service's backend system as the source of the unauthorized transfers. “Hackers breached a key backend system of the wallet service and exploited it to forge transfer information and invoke the authorization signing process, thereby transferring funds out,” she said. “The possibility of private key leakage can be ruled out – this means a more severe risk scenario has been eliminated. Damage control has been confirmed as complete, and there is no risk of further fund outflows from the platform. “The specific intrusion methods used by the hackers are still under technical investigation, and a full report will be released upon completion of the investigation.” Chen did not go into too much detail about the alleged links to North Korean state-sponsored attackers having a hand in the attack, but said “IP behavioral patterns and on-chain signatures” suggest it was Kim’s cronies at work. It would come as little surprise if North Korea was indeed the culprit behind the attack. The regime has a knack for hacking crypto exchanges. The aforementioned hit on Bybit was perhaps North Korea’s biggest crypto haul, although similar lucrative ventures attributed to North Korean attackers have come at the expense of DMM Bitcoin and WazirX, among others. Bitget was founded in 2018, registered in the Seychelles in 2022, and operates through regional hubs across the world. Some netizens have speculated that the timing was especially inconvenient, with the transfers detected at 18:31 UTC – 02:31 on September 25 in Singapore and China, the first day of China’s three-day Mid-Autumn Festival holiday. The festival is also widely celebrated in Singapore, although it is not a public holiday there. The Register asked Bitget whether this played a role in the attack and its remediation but it did not respond. As of Friday, Bitget is offering bounties to those who help freeze or recover the stolen funds. It said eligible participants could receive 5 percent of the funds their efforts successfully freeze or recover.®
Office 2016 and 2019 holdouts blame update for license deactivation bug
Friday, 25 September 2026 05:01 pmUsers report that a recent optional update for out-of-date Microsoft 365 applications might be connected to suddenly deactivated Microsoft Office 2016 and 2019 installations. The activation bug cropped up this week and appears to mostly impact Home and Business perpetual license installations, stripping away their authenticated status and forcing users into a loop where they are asked over and over again to re-enter their product key or face deactivation or reduced-functionality mode. The symptom is that a previously activated copy of Office 2016 and 2019 appears to abruptly lose its activation information, triggering alarming pop-ups and dire warnings that functionality loss is imminent. Affected users say one fix is to re-enter the original product key to restore the activation state. This would be a fine solution, if the user is sufficiently organized and have that number or numbers to hand. It is not so fine if you're faced with dozens, hundreds, or even more devices affected. A Register reader told us the issue "took out our Office 2016 installations." They added: "First indication is a message in the app you are using telling you that normal functionality has been removed. Also Yellow banners saying you have five days left before you can no longer use the apps. "It takes multiple product reactivations, restarts and sign in/sign out of your Office account to get it stable." A glance online shows many users believe the problem is connected to KB5002907. The optional update is for Windows PCs with Microsoft 365 Apps that are more than 90 days out of date. According to Microsoft, "Installing the update can help the apps resume updating and move to a current build for the device’s assigned update channel." Crucially, Microsoft also said the update is not automatic. However, users affected by the sudden reactivation requirement noted that the issue began around the same time the update appeared. Support ended for Office 2016 and 2019 on October 14, 2025. As such, Microsoft is under no obligation to release updates for the software. That, however, hasn't stopped it from occasionally releasing a patch that breaks stuff, for example the Paste problems that surfaced after an Excel patch. Unexpected consequences from an Microsoft 365 update are not unusual. Microsoft also has form when it comes to bricking old versions of software, although in the case of the Apple version of Office 2019, that bricking was deliberate due to the expiration of a certificate that dropped the applications into "reduced functionality mode" – opening and printing still worked, but creating, editing or saving? Perhaps sir or madam might consider a subscription to Microsoft 365? As a reminder, when Office 2016 and 2019 for Windows reached the end of support, Microsoft assured users they could continue using the products regardless. It did not mention the unexpected need to enter a product activation code… ®
Which copy of that file is the real one? Dinner, off the record, in Midtown
Friday, 25 September 2026 05:00 pmEVENT: The Register is hosting a private dinner in New York on Tuesday 27 October for senior technology, infrastructure and data leaders, with LucidLink. Joe Fay takes the chair, it runs under the Chatham House Rule, and nothing said leaves the table. Distributed teams are producing more unstructured file data than ever, and most of them reach it through infrastructure designed for an office: legacy NAS, a VPN, and a sync-and-download habit nobody actually chose. It rarely fails outright. It charges rent somewhere else instead, in duplicated storage, in waiting, in governance gaps, and in the hour somebody loses working out which version of a file is current. The conversation worth having about that is not the architecture diagram. It is what a team did when it stopped being in one building. Which workaround somebody has quietly been paying for ever since. What broke when they tried to retire the NAS, and what they would do differently now. People say that over dinner. They do not say it on a recorded webinar. So this is dinner. Drinks, a handful of questions across the table, then more drinks. Everyone there as a peer, and a chair whose job includes stopping anyone who starts to pitch. The premise is deliberately not rip and replace. The evening is about modernizing around the storage and governance investments an organization already has, rather than pretending they are not there, which is usually the point at which these conversations stop being useful to the people who have to pay for them. On the table: handling the growth in unstructured data, supporting distributed teams without paying for the same file three times, sync and version control, and whether any of it holds up against a security incident. Holly Bossert, Commercial Sales US at LucidLink, joins the conversation. Joe Fay of The Register moderates. The table is for senior technology, infrastructure and data leaders carrying this now, not planning for it later. Dinner runs from 6.00pm to 8.30pm at The Capital Grille, 120 W 51st Street. Places are limited and go by invitation. Request one here.
Raspberry Pi surfs memory crunch to record first half
Friday, 25 September 2026 04:15 pmRaspberry Pi has posted a record first half after a well-timed memory stockpile helped it ride out soaring prices and shortages. The Cambridge-based company reported revenue of $256.9 million for the six months ended June 30, up 90 percent from $135.5 million a year earlier, while pre-tax profit more than tripled to $19.6 million. Raspberry Pi shipped 4.2 million boards during the six-month period, up 17 percent year-on-year, while its order backlog doubled to 2.6 million units. Behind some of those rather healthy numbers is a bet Raspberry Pi made last year, when it built up a sizeable stash of memory before the market tightened. "The decision in FY 2025 to build significant strategic memory inventory has allowed us to maintain product availability at a time when smaller competitors have struggled to secure allocation," CEO Eben Upton said. It also meant Raspberry Pi spent much of the first half burning through memory bought at considerably friendlier prices. Gross profit per board climbed from $8 a year ago to $12.20, helped by price rises on R Pi's products as well as cheaper memory inventory acquired during 2025. Overall gross profit rose 79 percent to $59.4 million. That particular party is winding down. Raspberry Pi said the "exceptional unit economics" seen in the first half have since moderated as the cheaper memory bought during 2025 has been used up. It hasn't stopped stockpiling – it's just paying a lot more to do it. The average cost of memory in its inventory stood at $13.30 per GB at the end of June, up from $3.60 per GB at the end of 2025. At the end of June, Raspberry Pi was holding 2.4 million LPDDR4 devices representing 5.8 million GB of memory. By the end of August, that had grown to 8.3 million GB – around three months of sales for the products that use it. Between that stockpile and confirmed orders, Raspberry Pi said it has enough memory to meet its production targets for the rest of 2026, with further purchases planned to ensure it enters 2027 with significant inventory. However, the shortage hasn't left it entirely unscathed. Pi Zero sales fell 9 percent after production congestion at a Taiwanese company packaging one of its core components restricted supply. Demand hasn't disappeared: Raspberry Pi has about 1 million Pi Zero units sitting on back order. Elsewhere, customers appear willing to swallow the higher prices forced by rising memory costs. Direct sales of Raspberry Pi 4 and Pi 5 boards increased 69 percent and 47 percent respectively, with the company reporting continued demand for the pricier 8GB variants. OEM customers are also becoming an increasingly important part of the business. Direct shipments rose 26 percent to 3.4 million units, with Raspberry Pi pointing to particularly strong demand from the smart home and aerospace and defense sectors. The company expects to ship more units in the second half than the first, despite the ongoing squeeze on memory supplies. For Raspberry Pi, planning for the great memory squeeze has so far been rather more lucrative than painful. Buying the RAM before everyone desperately needed it turned out to be a useful trick. ®
Windows update leaves some virtual desktops staring into the void
Friday, 25 September 2026 03:32 pmMicrosoft has admitted that some Windows 11 virtual desktops may fail to load after sign-in, leaving users staring at a black screen until they launch Explorer manually. The glitch affects devices running the August 2026 non-security preview update or later releases and, according to Microsoft, "has been primarily observed on Azure Virtual Desktop (AVD) hosts, using FSLogix." Windows Explorer crashes may appear in the affected device's Application event log. Users can temporarily recover the desktop by opening Task Manager and running explorer.exe as a new task. Microsoft has also issued a Known Issue Rollback (KIR) that administrators can deploy through Group Policy. This disables the offending change until a permanent fix arrives. "We are working on a resolution for this issue, and it will be released in a future Windows update," the company said. This is distinct from another problem introduced by the same August preview update, which replaced some customized desktop backgrounds with solid black. Microsoft fixed that in September, but has not explained precisely what causes this latest failure. It said only that the problem "appears to occur more frequently with some existing user profiles." That will be of limited comfort to users glumly firing up Task Manager to launch their desktops manually. Windows 11 versions 26H1, 25H2, and 24H2 are affected. Microsoft does not list Windows 10 or Windows Server among the affected platforms. The stream of problems introduced by Microsoft's August and September updates is becoming relentless, undermining the company's claims that Windows is getting better. Quality improvement promises made earlier this year by Windows chief Pavan Davuluri are ringing increasingly hollow. If this is how Microsoft plans to "win back" its fans, as Satya Nadella said it must, the response may well be: thanks, but no thanks. ®
