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I’m looking at something entirely unrelated, but tripped over some search results that made me realise that a lot of people still think getting errors like ACPI Warning: SystemIO range 0x0000000000001828-0x000000000000182F conflicts with OpRegion 0x0000000000001800-0x000000000000187F indicate a firmware bug. This is generally untrue. We need to dive a little into what ACPI is to clarify why.

The Advanced Configuration and Power Interface1 specification defines a whole bunch of stuff, but what’s interesting to us here is the hardware abstraction it performs. While PCs are nominally a well-defined platform that’s really not true at the hardware level once you get beyond a certain level of complexity. When you suspend a system you want to power down the hardware in the correct order, for instance, and knowing what that order is requires you to know details about the specific motherboard design. The approach taken in the embedded world is to just bake that knowledge into the OS in some form, which is how we end up with Devicetree. ACPI takes an alternative approach - rather than provide that information as data that has to be consumed by OS drivers, it distributes it as code.

The ACPI Source Language, or ASL, is a simple language that gets compiled into a bytecode that’s then interpreted by the OS at runtime. One of the features of this language is the ability to define “Operation Regions”, effectively structure definitions that describe access to underlying hardware. Let’s imagine a simple device with two exposed registers. The first is an index register - it describes which internal register we want to access. The second is a data register, where reading it gives us the value of the internal register whose address is currently in the index register, and writing to it modifies that register. An example operation region declaration would look something like

1 2 3 4 5 6 OperationRegion(OPR1, SystemIO, 0x400, 0x2) Field(OPR1, ByteAcc, NoLock, Preserve) { INDX, 8 DATA, 8 }

This defines an operation region called “OPR1” at IO port 0x400, 2 bytes long. Inside it are two 8-bit fields, INDX and DATA. These are to be accessed one at a time, do not need the ACPI interpreter to take a global lock when accessing them, and if a subset of the register is modified then the other values should be preserved (irrelevant in this case since the fields are only a byte wide). Now any references to INDX or DATA in this scope will trigger accesses to those registers. So, a method to read the value of register 0x03 would look something like:

1 2 3 4 Method (RD03) { INDX = 0x3 Return (DATA) }

ie, set INDX to 3, and then read the value of DATA and return it. But! What if another ACPI method is running at the same time? Let’s say we have one that writes to register 0x05:

1 2 3 4 Method (WR05, 1) { INDX = 0x05 DATA = Arg1 }

What happens if RD03 executes while we’re part-way through WR05? INDX might get reset to 0x03, and now WR05 will modify register 0x03 instead of 0x05. Oh no! But we can avoid this - we declare a mutex (Mutex (MUTX, 0x00)), and update our methods to be something like:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 Method (RD03) { Acquire (MUTX, 0xFFFF) INDX = 0x3 Local0 = DATA Release (MUTX) Return (Local0) } Method (WR05, 1) { Acquire (MUTX, 0xFFFF) INDX = 0x05 DATA = Arg1 Release (MUTX) }

Each method takes a lock (waiting up to 0xffff milliseconds and then erroring out if it doesn’t), and performs the access. There’s now no chance of a race. Phew!

Now suppose someone writes a Linux driver for this piece of hardware. It accesses the hardware directly, with no knowledge of ACPI. What stops the driver from racing against one of the ACPI access methods? Nothing at all. Oh no! Again! This isn’t hypothetical, by the way - here’s a relatively harmless example, but back in the day we did trip over cases where temperature monitoring chips would be accessed by the firmware and Linux simultaneously and as a result you might end up thinking you’re reading a temperature when you’re actually reading a status flag, resulting in an impossibly high temperature and an immediate thermal shutdown.

In this case, the kernel saves you from this (potentially hardware damaging) outcome by printing a message like ACPI Warning: SystemIO range 0x0000000000000400-0x000000000000401 conflicts with OpRegion 0x0000000000000400-0x0000000000000401 (OPR1), telling you that the kernel has detected that a driver is attempting to allocate IO ports 0x400-0x401, but that there’s an ACPI operation region called OPR1 that is claiming the same addresses. The kernel isn’t in a position to know what type of access the firmware might perform in that region, so assumes that it might be dangerous and blocks the driver from loading.

But all is not lost! The kernel also prints some helpful advice, ACPI: If an ACPI driver is available for this device, you should use it instead of the native driver. And ACPI tables will often actually have a definition that looks like this:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Device (HDW1) { Name (_HID, "VEND0001") OperationRegion(OPR1, SystemIO, 0x400, 0x2) Field(OPR1, ByteAcc, NoLock, Preserve) { INDX, 8 DATA, 8 } Mutex (MUTX, 0) Method (RD03) { Acquire (MUTX, 0xFFFF) INDX = 0x3 Local0 = DATA Release (MUTX) Return (Local0) } Method (WR05, 1) { Acquire (MUTX, 0xFFFF) INDX = 0x05 DATA = Arg1 Release (MUTX) } }

which defines an ACPI device and associated methods. The _HID field defines the device type, and a Linux driver can be written that will be automatically loaded if a device with type VEND0001 is seen. That driver can then call ACPI methods associated with the device and access the resources in a way that matches the firmware’s expectations.

(Interested in writing such a driver? I wrote a guide back in 2009)

The firmware did absolutely nothing wrong here2, but trying to load the native ddriver will generate an error and the internet will tell you that PC firmware developers are incompetent3 and you should pass a kernel argument that overrides this behaviour and it never did them any harm, and it probably won’t do you any harm either but it might and you might never know why your system occasionally wedges or catches fire.

1. The ACPI spec used to live at acpi.info, but sadly that seems to have vanished some time after UEFI took over stewardship of the spec ↩︎

2. You might argue that the firmware should simply not do anything at runtime because it is not the firmware’s job to do that, and I do understand that and you can certainly boot with acpi=off if you want to and no ACPI code will be executed at runtime. Let me know how that goes. ↩︎

3. I’m not going to present an opinion on that here, merely say that this provides no supporting evidence for that assertion ↩︎

An anonymous reader quotes a report from Ars Technica: Those who remember PC gaming in the days before Steam may have fond memories of the "big box" packaging that made those games stand out as shelf eye candy and sought-after in-home collectibles. Today, PC gaming platform GOG is hoping to reignite some of the nostalgia for those days by adding downloadable 3D models and printable, foldable high-res packaging scans for a handful of PC games on the platform. Thus far, the "Printable Big Box" collection on GOG is limited to just five games: Armikrog, Descent, Hitman: Codename 47, Myst, and Star Trek: 25th Anniversary. Players browsing those games on the GOG store will now see "3D Boxes" listed among the included "Goodies" before purchase. Owners of those games on GOG can download a ZIP file containing a version of the box art as an animated 3D object file (in an easy-to-open GLB format) and a "flat printable template" in PDF, SVG, and Adobe Illustrator formats. Those downloads allow for what GOG calls "a proper papercraft project for anyone who misses shelves full of PC game boxes." The physically focused expansion of the existing GOG Preservation Program comes through a partnership with Benjamin Wimmer's Big Box Collection website, which has grown since 2015 to include over 1,000 3D scans from his private collection of physical PC games. In an interview with GOG, Wimmer said that while he appreciates the artistry of a good old-fashioned big box, he also appreciates their evolution into the "interactive cards" on modern digital storefronts that "provid[e] us art, screenshots, gameplay videos and whatnot and that not shown as a box, [it] is just good UX." "Physical media doesn't survive the way software can -- boxes get lost, crushed, thrown out," GOG writes in today's announcement. "Scanning them, and letting you print your own, is preservation in a different shape: the same mission that keeps these games running on modern PCs, applied to the objects they used to come in."

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Version:next-20260909 (linux-next) Released:2026-09-09

The U.S. Department of Energy has approved a $1.9 billion loan to NextEra Energy to restart Iowa's shuttered Duane Arnold nuclear plant, which Google has backed as a power source for its growing AI infrastructure. "The sizable loan is the second of its kind, suggesting that the Trump administration views revived nuclear power as a key source of electricity for tech companies seeking to power their AI data centers," notes TechCrunch. From the report: James Danly, Deputy Secretary of Energy, said that the Iowa power plant's restart in 2029 will "drive down electricity costs," though he did not explain how. Just 50 megawatts will be set aside for the local power cooperative, NextEra CEO John Ketchum said during an earnings call (PDF) last year. That capacity would cover 18% of Iowa's demand growth since 2021, the year before ChatGPT was released. Google is reportedly looking to build up to six data centers near the Duane Arnold Energy Center, which hasn't operated since 2020 when an intense rainstorm damaged the power plant. Rather than repair it, NextEra decided to mothball it. At the time, cheap natural gas was flooding the market, making nuclear power economically unappealing. A lot has changed in the last six years, though. After decades of little growth in demand, the sudden rise of AI coupled with broader electrification of the economy meant that utilities and power providers were suddenly scrambling to find new generating sources of electricity. New data centers are expected to nearly triple the sector's electricity demand by 2035.

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An anonymous reader quotes a report from The New York Times: OpenAIsaid on Tuesday that its newest artificial intelligence technology had solved one of the "Millennium Problems," a collection of important unanswered math questions meant to push the world's leading mathematicians to new heights. The announcement is an another clear sign that A.I. is fundamentally changing the upper reaches of mathematics, which have long been viewed as a pinnacle of human achievement. The change has excited some mathematicians, while stirring concern among others. Over the past year, A.I. systems successfully solved a wide range of problems that have bedeviled mathematicians for decades. But these problems were not as complex, nor as closely watched, as the one that OpenAI's technology has solved over the past several days. The Millennium Problems are among the most heavily researched in the field. "This is a spectacular culmination of the arc we have seen over the past twelve months," OpenAI researcher Sebastien Bubeck said of the company's new solution. The company announced that one of its latest models, which has not yet been released to the public, needed just 88 hours to solve what mathematicians call "the Navier-Stokes existence and smoothness problem." This problem involves a series of equations that are often used to predict the weather. The equations describe the movement of water and other fluids. The Navier-Stokes problem, which has no clear practical value, asks whether these equations completely break down in certain situations. OpenAI's proof claims to have defined just such a situation. This would imply, at least theoretically, that the laws of physics themselves would break down under certain conditions: that, for example, water could be made to spontaneously explode. But mathematicians and physicists do not believe that this mathematical breakdown could really lead to such an outcome in the physical world. The Navier-Stokes problem was one of seven "Millennium Problems" selected by the Clay Mathematics Institute in the year 2000 as a way of tracking the progress of mathematics in the new millennium. The institute, founded by an American businessman named Landon T. Clay, offered a million dollars for the first correct solution to each problem. Before OpenAI's announcement, only one of the problems had been solved. OpenAI says it managed to solve the Navier-Stokes problem by coordinating as many as 10,000 AI agents, an extremely expensive process that may have cost millions of dollars in computing power. For those curious about the findings, the company has released a paper (PDF) and formal Lean proof.

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"Star Trek" marks its 60th anniversary today, September 8, six decades after the original series premiered in 1966 and went on to become one of the most successful science-fiction franchises in television history. Outlets across the web are commemorating the milestone with full health reports, hot takes, behind-the-scenes retrospectives, and reflections on the franchise's influence and what may lie ahead. The New York Times reports: As of 2026, the 60-year-old science fiction franchise boasts a fandom of carbon units -- sorry, humans -- that spans at least three generations. What began, in 1966, as a five-year space mission on the U.S.S. Enterprise to "boldly go where no man has gone before" now represents an anthology of space travel across more than 25 series and films in parts of two centuries. Where once it was James T. Kirk or bust, it's not unusual to find fans who prefer other captains, like Picard, Janeway or Sisko. There are so many series to keep track of that fans often communicate using country code-like abbreviations for each installment: TOS (the original series), TNG ("The Next Generation"), DS9 ("Deep Space Nine"), ENT ("Enterprise") and so on. Outside the Trekiverse, disparities in generational slang, politics and social mores are practically a foregone conclusion. But "Star Trek" functions as connective tissue between fans past and present. Some of that tissue is just shared references: There will always be captain's logs, timelines by stardate, warp factors one through 10, phasers and photon torpedoes and, every now and then, a doctor who insists, "I'm a doctor, not a ____!" The Vulcan salute has become a general symbol of geek-recognize-geek, but real Trekkies (or Trekkers, as some prefer) know that "Live long and prosper" is only half the message; the recipient is meant to say "Peace and long life" in response. But the series' staying power, and the ease with which each generation finds its way into them, is an indication that fans of all ages share not only language, but values, in common. Here are some of our favorite Slashdot stories from the early days. The 2004 "Should Star Trek Die?" is an especially good callback today because it features LeVar Burton (Geordi La Forge in Star Trek: The Next Generation) arguing that Trek needs to disappear for several years to become special again... Star Trek Lawsuit (1998) Salon Writes on The Troubles with "Trek" (1999) Star Trek's Next Series (2001) Should Star Trek Die? (2004) UPN Officially Cancels 'Star Trek: Enterprise' (2005)

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Google says it will overhaul Search in Europe to comply with the EU's Digital Markets Act, giving more prominence to comparison services like Expedia and Hotels.com while stripping some real-time features from hotel, airline, and restaurant results. "These changes degrade the user experience for Europeans -- boosting online intermediaries at the expense of local businesses, and removing helpful features people rely on every day," said Nick Fox, senior vice-president of knowledge and information at Google. The company claims its past search changes for DMA compliance were tied to a 30% decrease "in free, direct booking traffic to European businesses." Engadget reports: That sanction was the latest salvo between the EU government and a US tech company for infringing on its Digital Markets Act. The debate centers on the DMA requirement that major tech brands "must not treat their own services more favorably in ranking than third-party services." [...] According to Reuters, Google's revised search results "will highlight one specialized search engine at the top of the page, followed by two others with fewer details. A carousel of hotels, airlines and restaurants, for example, will sit below them with key features such as real-time prices stripped out." Those specialized engines include sites like Expedia or Hotels.com, also known as vertical search services, so European users may soon see those aggregators and comparison sites prioritized more highly than individual businesses' websites in their results. Reuters noted that "the rankings will be determined by Google's algorithm," meaning the tech company still holds a lot of control over how results are displayed. The EC had given Google 60 days to comply with its rules, but the company has not specified an exact timeline for when European users will start seeing the changes.

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The NSA, CISA, and FBI are accusing (PDF) several Chinese AI companies of carrying out "industrial-scale" distillation campaigns against leading U.S. models such as ChatGPT, Claude, Gemini, and Grok. Since at least 2024, the companies have allegedly routed millions of requests across accounts, APIs, proxies, cloud providers, and third-party aggregators to extract capabilities for their own models. "China-based artificial intelligence companies are conducting systematic extraction of proprietary functionalities and capabilities of U.S. AI companies' models through industrial-scale knowledge distillation campaigns that form the core -- not merely a supplement -- of their AI development strategy," the agencies wrote. CyberScoop reports: DeepSeek, for example, distilled frontier U.S. models to generate synthetic training data for its R1 and R3 models, including four different versions of Claude, two versions of Gemini, five versions of ChatGPT and Grok 4. Those models helped train DeepSeek's capabilities in areas like agentic functioning, question and answer optimization, creative and occupational writing and others. Another Chinese company, Moonshot AI, allegedly distilled 18 different U.S. models -- including Fable 5, Anthropic's current, most advanced commercially available model -- to train its Kimi-K2 and Kimi K3 models. The company used millions of queries meant to extract enhanced capabilities in areas like agentic reasoning, coding and data analysis, computer vision, larger logical frameworks, visual processing and others. Chinese AI companies manage a sophisticated set of tools and systems that route requests and prompts through multiple pathways to avoid detection. The advisory lists common tactics observed by Chinese companies, including spreading requests across different accounts, models and platforms, using native APIs, remote cloud providers, and third-party aggregators to obfuscate user metadata, and leveraging proxies and gray tech markets to get around geographic restrictions, terms of use and safeguards built into frontier models.

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Meta has launched Muse, a personal AI agent developed under chief AI officer Alexandr Wang. "The product, long in development, was touted as a key next step by CEO Mark Zuckerberg in his recent 6,500-word manifesto," reports Axios. From the report: Muse, as the agent is known, exists in a chat interface, similar to a text thread. It's designed to be more proactive and long-running than typical chatbots. Users can name their agent, create an avatar and customize how it communicates. The Muse agent runs on a dedicated virtual machine in Meta's cloud, using a built-in browser that's visible to the user. Meta is offering a free tier of Muse, as well as two subscription options, at $20 per month and $100 per month. "For the vast majority of users, they should be able to do what they need to within the free tier," Wang told Axios. "But for real power users, you know, those subscription tiers help us cover the computer costs." There is no advertising within Muse, but Wang said the company is exploring commerce opportunities that could generate additional revenue. Initially Muse will be available in the U.S. and works on iOS, Android and the web, with support coming soon for Meta's AI glasses. "The full vision in the future is we want to develop personal superintelligence that helps people accomplish their goals, pursue their passions, build things that they never would have built if they didn't have the technology," Wang told Axios. Meta offers users more privacy controls with Muse than in its previous AI products, including the option to prevent queries from being used by Meta and a planned confidential mode where the company cannot see activity inside a user's virtual workspace. There's also an entirely separate system called Sentinel that governs Muse's access to the internet and connected services.

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Australia is proposing the "My Feed, My Way" initiative that would force social media platforms to let users over 16 turn off algorithmic recommendations and instead see only posts from people and creators they follow. Platforms that fail to comply could face fines of up to $79 million. CNBC reports: The legislation, which is being drafted and released Tuesday for targeted consultation, would require platforms to send notifications to new and existing users so they can choose their default feed. [...] The measures, set to be introduced to the Parliament of Australia this year, will also require AI chatbots, online games and other digital services to take action to protect under-18s from addictive design features. "This is not about giving government control. It's about giving people control. It's about putting choice back into the hands of Australians online," said Prime Minister Anthony at a press conference on Tuesday. "This is sensible, pragmatic, practical reform. It gives users choice, and it will hold the big tech companies responsible for inaction."

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Suppose an application setting has changed on a Linux server, but nobody remembers changing it. The application still works, and the usual health checks show no trouble. A record confirms that a file changed, yet says nothing about who changed it or why.

A Linux cgroup, or control group, limits how much memory a group of processes can use. Yet its counters can look normal while those processes cause the host kernel, the core of the operating system, to use memory that is not counted against their limit. A networking patch posted on Sep 7, 2026 shows one way this can happen with IPv6 multicast routing, which sends network traffic to a group of recipients. The test creates routing tables inside namespaces: separate views of user identities and ...

A program can keep a Linux file open even after the separate networking environment behind it has started shutting down. That environment is called a network namespace. A SUNRPC patch posted on Sep 7, 2026 describes that exact failure in the /proc/net/rpc/use-gss-proxy control used by Linux remote procedure call (RPC) servers, including Network File System (NFS), which lets computers access files over a network.

An anonymous reader quotes a report from TechCrunch: Telluride just managed one of its best-kept secrets in years, per The Hollywood Reporter. On Sunday night, festival-goers filed into a 650-seat theater with their phones locked away, having no idea what they were about to see, told only that it ran nearly three hours, hadn't been shown anywhere, and that its principal creators would be in the audience. The surprise premiere they went on to enjoy is a new documentary from co-directors Nathan Fielder and Lance Oppenheim about Theranos founder Elizabeth Holmes. Called "You Can See Everything," the film is said to capture Holmes and her husband, Billy Evans, in the 34 days before she reported to federal prison in May 2023 to begin an 11-year sentence for defrauding investors about her blood-testing technology. Since then, her legal fight has limped along without success. Her appeals to overturn the conviction and shorten her sentence were rejected in February of last year. She then went a different route last year, asking President Trump to commute her sentence. That clemency petition is still listed as pending, meaning it's officially been opened and remains under review. Fielder apparently lived in the couple's guest house during filming -- the access they provided sounds shocking -- but some of the buzz also ties to an A-list actress who becomes part of the story itself. A24 is set to release the film in October. You can watch a trailer for the film on YouTube.

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A Gamers Nexus investigation found that LG smart TVs are almost constantly logging and uploading data about owners and their homes, even while they are offline or in standby mode. "The company's TV sets scan Wi-Fi networks for nearby devices, record audio logs through their microphones, and use audio and video sampling to recognize exactly what you're watching from across the TV inputs," reports The Verge. From the report: Gamers Nexus partnered with fellow YouTubers Level1Techs and independent security researchers for the investigation, which involved testing retail LG OLEDs. Packet captures showed the TVs scanning the local area network for nearby hardware like phones or smartwatches, as well as logging location data and details of nearby Wi-Fi networks, and feeding the information back to LG Ad Solutions. Perhaps more concerningly, the TVs were capable of recording microphone audio when in standby; this continued even after the TV was disconnected from the internet, with audio files stored offline and uploaded once a connection was restored. Earlier this year, LG was found to be silently installing an adware-like app on Windows PCs that ran pop-up ads for other LG apps and even McAfee antivirus.

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Google DeepMind has released AlphaGenome Atlas, a free research database containing AI-generated predictions for the effects of all 9 billion possible single-letter mutations in the human genome. Built from its AlphaGenome model, the atlas is designed to help scientists interpret both protein-coding and harder-to-understand regulatory DNA. Fortune reports: AlphaGenome Atlas, as DeepMind calls the database, is a precomputed catalogue of what each substitution of a single DNA base is likely to do to the machinery that switches genes on and off. Until now researchers had to run such a model one variant at a time or had to test variants in the laboratory, a process that was painstakingly slow. It would have taken many human lifetimes to discover the consequences of all 9 billion possible single-letter mutations. The Atlas promises to make the job of biologists and medical researchers considerably easier, potentially speeding up the understanding of genetic diseases and the hunt for possible cures. Pushmeet Kohli, DeepMind's vice president for research and head of its AI for science team, told reporters on a briefing call that this was the first time any researcher in the world could reach a comprehensive map of human genetic variation "by simply opening a browser." Kohli also framed the release as helping to complete the unfinished business of the Human Genome Project, which in 2003 succeeded in mapping the entire human DNA sequence. "As the saying goes, we bought the book," he said, "but we did not understand how to read it." Atlas is available for non-commercial use from today through a website Google DeepMind has set up for it. The company said it would be available for commercial use through a licensing arrangement through Google Cloud "soon." Kohli said that Google DeepMind's sister company,ÂIsomorphic Labs, which is using AI for drug discovery, would have access to Atlas but that it would also require a commercial license for access. He did not specify exactly what the terms would be for commercial licensing. A paper describing the Atlas and how it was created is being released on bioRxiv, a repository for biomedical preprint academic papers.

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Teen reading, math, and science scores have fallen to their lowest levels since international PISA testing began in 2000, with 15-year-olds now reading at roughly the level previously expected of students a year younger. The Organization for Economic Co-operation and Development (OECD) linked weaker results to more screen time, less reading for pleasure, and digital distraction. It also found that students who regularly used AI chatbots for tasks like drafting essays and summarizing text scored about 20 points lower in science, roughly equivalent to a year of learning. Reuters reports: A 2012 reading high of 501 on PISA's index had declined to a score of 466 last year. The test is widely regarded as the world's leading gauge of educational performance and its results are closely scrutinized by governments and educators. "In reading, more screen time and less reading for pleasure have gone hand in hand with weaker results," OECD head Mathias Cormann told a press conference. "We're also seeing more hasty reading, students rushing through a text and giving a quick wrong answer." Reading scores fell more sharply in students from better-off backgrounds, the study added. Hindered by falling reading standards, average teenage science and maths skills were also at their lowest this century. Science fell from a 2009 high of 506 on the index to 486, while maths was down from 502 to 469 in the same period. East Asia was the best-performing region. Chinese cities that participated in the test, Japan, Korea, Singapore and Taiwan had the best educational systems with Britain and Estonia the only countries outside the region that made it into the top 10 in reading, mathematics and science.

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Linux can move a network packet's data in memory while some networking code still holds its old address. That saved address is called a pointer. A patch and maintainer discussion posted on Sep 7, 2026 describe how that mismatch can make an IPv6 Segment Routing eBPF action write to memory that Linux has already released. Segment Routing steers packets through specified network waypoints; eBPF lets small programs run inside the kernel to customize tasks such as packet handling.

An anonymous reader quotes a report from 404 Media: Border Patrol is running secretive predictive policing units that analyze Americans' financial activity and other data, then feed that intelligence to local police who pull people over who are not suspected of any specific crime, but which the government thinks may be worth searching, 404 Media has found. The units, the name of which 404 Media is revealing here for the first time, are called Predictive Intelligence Targeting Teams (PITT). In one case, a PITT analyzed the financial activity of a man who was driving across Montana, and local authorities stopped him under the pretense of an obstructed license plate and charged him with a DUI. 404 Media identified one PITT in the Spokane Sector, Washington, which polices the U.S. border with Canada, and another in the Laredo Sector, Texas, which polices the border with Mexico. The findings add to an Associated Press investigation from last year which found Border Patrol was using automatic license plate readers (ALPRs) as part of the same wide-spanning predictive policing program. "The bottom line is genuine probable cause cannot be synthetically generated," Jake Laperruque, deputy director of the Security and Surveillance Project at the Center For Democracy & Technology, told 404 Media in an email. Here Border Patrol seems to be "using parallel construction to cloak the reason behind its car stops in secrecy. If we can't meaningfully review and evaluate these systems, we can't trust them," he added. [...] The DHS document obtained by 404 Media shows that Border Patrol is analyzing the financial activity of Americans to find people to pull over. The Associated Press's investigation found the predictive policing program is also heavily using ALPRs to track potential targets' movements. It is not clear how exactly Border Patrol is monitoring Americans' financial activity. Customs and Border Protection (CBP) declined to answer what financial activity the agency was monitoring, and whether it obtained a warrant or not. A CBP spokesperson told 404 Media in an email: "U.S. Border Patrol uses intelligence-informed analysis and planning to support national security operations, allocate resources, and help identify potential threats and bad actors to public safety. These efforts are conducted consistent with applicable law, policy, privacy protections, and oversight requirements." The statement continued: "For operational security reasons, we do not discuss specific analytical methods, data sources, targeting criteria, investigative techniques, system capabilities, or deployment details. Public disclosure of such information could compromise law enforcement operations and investigations as well as creating safety risks for agents and the public." Rob Frommer, senior attorney at the Institute for Justice, told 404 Media: "The government's increasing use of mass surveillance -- whether that surveillance comes via ALPRs, financial records, or the like -- coupled with predictive policing is a recipe for tyranny. We fought a revolution for the idea that we are citizens, not subjects. Yet schemes like CBP's Predictive Intelligence Targeting Team treat all Americans as if they are potential suspects. This is not just wrong, it's unconstitutional, and IJ will keep pushing courts and Congress to end this attack on Americans' security."

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Phoronix reports: AMD is building out what they are describing as an "elite" team of developers for driving Rust code "deep into the GPU stack" from firmware to drivers, shader compilers, and other GPU software in Rust. AMD Senior Fellow Harsh Meno posted this week to LinkedIn about this new effort... And note this AMD job posting that's active for hiring a software development engineer to work on Rust code... "We are building next-generation systems software for AMD GPUs with Rust as a core technical direction. The work spans compilers, runtimes, low-level GPU software, firmware, developer tooling, and methods for improving the safety and correctness of complex hardware-software systems. "Rust is not incidental to this role. You will help establish how Rust is used in performance-sensitive and high-trust parts of the GPU stack, including the compiler and tooling support, system interfaces, engineering practices, and validation methods required for production deployment. You will have the opportunity to influence both near-term implementations and the longer-term architecture for using Rust across current and future AMD platforms." "AMD also isn't alone," the article points out, "as NVIDIA has also been pursuing similar Rust-based initiatives for their GPU software too, including the development of the Nova Linux kernel driver written in Rust."

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