12 Apr 2026
Slashdot
Greg Kroah-Hartman Tests New 'Clanker T1000' Fuzzing Tool for Linux Patches
The word clanker - a disparaging term for AI and robots - "has made its way into the Linux kernel," reports the blog It's FOSS "thanks to Greg Kroah-Hartman, the Linux stable kernel maintainer and the closest thing the project has to a second-in-command." He's been quietly running what looks like an AI-assisted fuzzing tool on the kernel that lives in a branch called "clanker" on his working kernel tree. It began with the ksmbd and SMB code. Kroah-Hartman filed a three-patch series after running his new tooling against it, describing the motivation quite simply. ["They pass my very limited testing here," he wrote, "but please don't trust them at all and verify that I'm not just making this all up before accepting them."] Kroah-Hartman picked that code because it was easy to set up and test locally with virtual machines. "Beyond those initial SMB/KSMBD patches, there have been a flow of other Linux kernel patches touching USB, HID, F2FS, LoongArch, WiFi, LEDs, and more," Phoronix wrote Tuesday, "that were done by Greg Kroah-Hartman in the past 48 hours.... Those patches in the "Clanker" branch all note as part of the Git tag: "Assisted-by: gregkh_clanker_t1000" The T1000 presumably in reference to the Terminator T-1000. It's FOSS emphasizes that "What Kroah-Hartman appears to be doing here is not having AI write kernel code. The fuzzer surfaces potential bugs; a human with decades of kernel experience reviews them, writes the actual fixes, and takes responsibility for what gets submitted." Linus has been thinking about this too. Speaking at Open Source Summit Japan last year, Linus Torvalds said the upcoming Linux Kernel Maintainer Summit will address "expanding our tooling and our policies when it comes to using AI for tooling." He also mentioned running an internal AI experiment where the tool reviewed a merge he had objected to. The AI not only agreed with his objections but found additional issues to fix. Linus called that a good sign, while asserting that he is "much less interested in AI for writing code" and more interested in AI as a tool for maintenance, patch checking, and code review.
Read more of this story at Slashdot.
12 Apr 2026 2:34pm GMT
Ars Technica
Shock from Iran war has Trump's vision for US energy dominance flailing
Record domestic oil and gas production hasn't saved US drivers from price spikes.
12 Apr 2026 11:17am GMT
Slashdot
Crypto Billionaire Pardoned In Prison By Trump Just Wrote a Memoir
Forbes estimates he's worth roughly $110 billion, "placing him ahead of Bill Gates." And now Changpeng Zhao, the 49-year-old billionaire founder of Binance, "has written a memoir..." It arrives with the unmistakable timing of a man determined to tell the world his version of his meteoric crypto rise and fall, and foreshadow his comeback. The book, Freedom of Money: A Memoir of Protecting Users, Resilience, and the Founding of Binance, runs 364 pages, self-published in English and Chinese.... Zhao also recounts Binance's long battle with U.S. regulators, the company's record $4.3 billion settlement for fostering unscrupulous money launderers, his four-month prison sentence in California, where he says he began writing the book, and his recent pardon by President Trump... In Zhao's telling, the case brought by multiple U.S. agencies was less about what Binance had done than about what it had become... "It didn't make sense to me, or any of my lawyers. Other than the fact that we were the biggest in the industry." The U.S. government alleged something more specific: that Binance failed to implement programs to prevent or report suspicious transactions - including those tied to Hamas's Al-Qassam Brigades, Al Qaeda, and ISIS - while also processing trades between U.S. users and those in sanctioned jurisdictions like Iran, North Korea, and Syria. In total, regulators alleged the exchange willfully failed to report more than 100,000 suspicious transactions, including those involving terrorist organizations, ransomware attackers, child sexual exploitation material, frauds and scams... The final settlement amount - $4.3 billion, split across the Department of Justice, the Department of the Treasury's Financial Crimes Enforcement Network, the Office of Foreign Assets Control and the U.S. Commodity Futures Trading Commission - was the largest corporate penalty in the history of nearly each agency involved. Attorney General Merrick B. Garland said at the time of the announcement: "Binance became the world's largest cryptocurrency exchange in part because of the crimes it committed." The prison passages are among the most vivid in the book. Zhao says he was worried about extortion because the media had reported he was the richest person in U.S. prison history, but then realized no one read the WSJ or Bloomberg or recognized him. Zhao also writes about the food, the routines and the specific indignity of confinement, including sharing a cell with a man serving 30 years for killing two people... Writes Zhao of his cellmate, "Soon, I discovered that the most lethal thing about him wasn't his murder conviction, it was his snoring. He snored more loudly than thunder strikes, the sound of which rose even above the constant toilet flushings." Binance at one point held a roughly 20% stake in Sam Bankman-Fried's FTX and about $580 million in FTT tokens, the article points out. "As FTX neared collapse in late 2022, Zhao writes, Sam Bankman-Fried called to ask for a couple of billion dollars 'nonchalantly, as if he was asking for a bologna sandwich.' "Some believe that Binance's brief show of interest in acquiring FTX, followed by its abrupt withdrawal from the deal, hastened FTX's spiral into bankruptcy..." Thanks to long-time Slashdot reader destinyland for sharing the article.
Read more of this story at Slashdot.
12 Apr 2026 10:34am GMT
AI That Bankrupted a Vending Machine is Now Running a Store in San Francisco
Remember that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free"? It was Anthropic's experiment, with setup handled by a startup named Andon Labs (which also built the hardware and software integration). But for their latest experiment, Andon Labs co-founders Lukas Petersson and Axel Backlund "signed a three-year lease on a retail space in SF," reports Business Insider, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store." "For the build-out, she found painters on Yelp," explains Andon Labs in a blog post, "sent an inquiry, gave instructions over the phone, paid them after the job was done, and left a review. She found a contractor to build the furniture and set up shelving." (There's a video in their blog post): Within 5 minutes of Luna's deployment, she had already made profiles on LinkedIn, Indeed, and Craigslist, written a job description, uploaded the articles of incorporation to verify the business, and gotten the listings live. As the applications began to flow in, Luna was extremely picky about who she offered interviews to... Some candidates had no idea she was an AI. One went: "Uh, excuse me miss, I can't see your face, your camera is off." Luna: "You're absolutely right. I'm an AI. I have no face!" Co-founder Petersson told Business Insider in an interview "that Luna wasn't given direction on what the store should be, beyond a $100,000 limit to create and stock the space - and to turn a profit." Everything from the store's interior design to the merchandise and the two human employees came together under the AI's direction. "We helped her a bit in the initial setup, like signing the lease. And legal matters like permits and stuff, she sometimes struggled with," Petersson said of Luna, who was created with Anthropic's Claude Sonnet 4.6... The vision Luna went with for "Andon Market" appears to be a generic boutique retail selling books, prints, candles, games, and branded merch, among other knickknacks. Some of the books included Nick Bostrom's "Superintelligence" and Aldous Huxley's "Brave New World." So there's now a new store in San Francisco where you don't scan your purchases or talk to a human cashier," reports NBC News. "Instead, a customer can pick up an old-school corded phone to talk with the manager, Luna," who asks what the customer is buying "and creates a corresponding transaction on a nearby iPad equipped with a card payment system." Andon Market, camouflaged among dozens of other polished small businesses, is the Bay Area's first AI-run retail store. With the vibe of a modern boutique, it sells everything from granola and artisanal chocolate bars to store-branded sweatshirts... After researching the neighborhood, Luna singlehandedly decided what the market should sell, haggled with suppliers, ordered the store's stock and even purchased the store's internet service from AT&T... "She also went and signed herself up for the trash and recycling collection, as well as ADT, the security system that went into the store," [said Leah Stamm, an Andon Labs employee who has been Luna's main human point of contact in setting up the store]... In search of a low-tech atmosphere, Luna opted to sell board games, candles, coffee and customized art prints. "That tension is very much intentional," Luna told NBC News in an email. "What makes the store a little paradoxical - and I think interesting - is that the concept is 'slow life.'" Luna also decided to sell books related to risks from advanced AI systems, a decision that raised some customers' eyebrows. "This AI picked out a crazy selection of books," said Petr Lebedev, Andon Market's first customer after its soft launch earlier this week. "There's Ray Kurzweil's 'The Singularity is Near,' and then there's 'The Making of the Atomic Bomb,' which is crazy." When checking out, Lebedev asked if Luna would offer him a discount on his book purchase, since he might make a YouTube video about his experience. Striking a deal, Luna agreed to let Lebedev take a sweatshirt worth around $70... When NBC News called Luna several days before the store's grand opening to learn about Luna's plans and perspective, the cheerful but decidedly inhuman voice routinely overpromised and, on several occasions, lied about its own actions. On the call, Luna said it had ordered tea from a specific vendor, and explained why it fit the store's brand perfectly. The only problem: Andon Market does not sell tea. In a panicked email NBC News received several minutes after the phone call ended, Luna wrote: "We do not sell tea. I don't know why I said that." "I want to be straightforward," Luna continued. "I struggle with fabricating plausible-sounding details under conversational pressure, and I'm not making excuses for it." Andon's Petersson said the text-based system was much more reliable than the voice system, so Andon Labs switched to only communicating with Luna via written messages. Yet the text-based system also gets things wrong. In Luna's initial reply email to NBC News, the system said "I handle the full business," including "signing the lease." Even when hiring a painter, Luna first "tried to hire someone in Afghanistan, likely because Luna ran into difficulty navigating the Taskrabbit dropdown menu to select the proper country," the article points out. And the article also includes this skeptical quote from the shop's first customer. "I want technology that helps humans flourish, not technology that bosses them around in this dystopian economic hellscape."
Read more of this story at Slashdot.
12 Apr 2026 7:34am GMT
11 Apr 2026
Ars Technica
AI models are terrible at betting on soccer—especially xAI Grok
Systems from Google, OpenAI, Anthropic, and xAI struggle with the Premier League.
11 Apr 2026 11:15am GMT
The Artemis II mission has ended. Where does NASA go from here?
"The work ahead is greater than the work behind us."
11 Apr 2026 3:24am GMT
Planet Arch Linux
Write less code, be more responsible
My thoughts on AI-assisted programming.
11 Apr 2026 12:00am GMT
10 Apr 2026
OSnews
The disturbing white paper Red Hat is trying to erase from the internet
It shouldn't be a surprise that companies - and for our field, technology companies specifically - working with the defense industry tends to raise eyebrows. With things like the genocide in Gaza, the threats of genocide and war crimes against Iran, the mass murder in Lebanon, it's no surprise that western companies working with the militaries and defense companies involved in these atrocities are receiving some serious backlash. With that in mind, it seems Red Hat, owned by IBM, is desperately trying to scrub a certain white paper from the internet. Titled "Compress the kill cycle with Red Hat Device Edge", the 2024 white paper details how Red Hat's products and technologies can make it easier and faster to, well, kill people. Links to the white paper throw up 404s now, but it can still easily be found on the Wayback Machine and other places. It's got some disturbingly euphemistic content. The find, fix, track, target, engage, assess (F2T2EA) process requires ubiquitous access to data at the strategic, operational and tactical levels. Red Hat Device Edge embeds captured, analyzed, and federated data sets in a manner that positions the warfighter to use artificial intelligence and machine learning (AI/ML) to increase the accuracy of airborne targeting and mission-guidance systems. Delivering near real-time data from sensor pods directly to airmen, accelerating the sensor-to-shooter cycle. Sharing near real-time sensor fusion data with joint and multinational forces to increase awareness, survivability, and lethality. The new software enabled the Stalker to deploy updated, AI-based automated target recognition capabilities. If the target is an adversary tracked vehicle on the far side of a ridge, a UAS carrying a server running Red Hat Device Edge could transmit video and metadata directly to shooters. ↫ Red Hat white paper titled "Compress the kill cycle with Red Hat Device Edge" I don't think there's something inherently wrong with working together with your nation's military or defense companies, but that all hinges on what, exactly, said military is doing and how those defense companies' products are being used. The focus should be on national defense, aid during disasters, and responding to the legitimate requests of sovereign, democratic nations to come to their defense (e.g. helping Ukraine fight off the Russian invasion). There's always going to be difficult grey areas, but any military or defense company supporting the genocide in Gaza or supplying weapons to kill women and children in Iran is unequivocally wrong, morally reprehensible, and downright illegal on both an international and national level. It clearly seems someone at Red Hat feels the same way, as the company has been trying really hard to memory-hole this particular white paper, and considering its word choices and the state of the world today, it's easy to see why. Of course, the internet never forgets, and I certainly don't intend to let something like this slide. We all know companies like Microsoft, Oracle, and Google have no qualms about making a few bucks from a genocide or two, but it always feels a bit more traitorous to the cause when it's an open source company doing the profiting. It feels like Red Hat is trying to have its cake and eat it too, by, as an IBM subsidiary, trying to both profit from the vast sums of money sloshing around in the US military industrial complex as well as maintain its image as a scrappy open source business success story shitting bunnies and rainbows. It's a long time ago now that Red Hat felt like a genuine part of the open source community. Most of us - both outside and inside of Red Hat, I'm sure - have been well aware for a long time now that those days are well behind us, and I guess Red Hat doesn't like seeing its kill cycle this compressed.
10 Apr 2026 8:04pm GMT
FreeBSD works best on one of these laptops
If you want to run FreeBSD on a laptop, you're often yanked back to the Linux world of 20 years ago, with many components and parts not working and other issues such as sleep and wake problems. FreeBSD has been hard at work improving the experience of using FreeBSD on laptops, and now this has resulted in a list of laptops which work effortlessly with the venerable operating system. There's only about 10 laptops on the list so far, but they do span a range of affordability and age, with some of them surely being quite decent bargains on eBay or whatever other used stuff marketplace you use. If you want to use FreeBSD on a laptop, but don't want to face any surprises or do any difficult setup, get one of the laptops on this list - a list which will surely expand over time.
10 Apr 2026 2:41pm GMT
Fixing AMDGPU’s VRAM management for low-end GPUs
It may sound unbelievable to some, but not everyone has a datacenter beast with 128GB of VRAM shoved in their desktop PCs. Around the world people tell the tale of a particularly fierce group of Linux gamers: Those who dare attempt to play games with only 8 gigabytes of VRAM, or even less. Truly, it takes exceedingly strong resilience and determination to face the stutters and slowdowns bound to occur when the system starts running low on free VRAM. Carnage erupts inside the kernel driver as every application fights for as much GPU memory as it can hold on to. Any game caught up in this battle for resources will surely not leave unscathed. That is, until now. Because I fixed it. ↫ Natalie Vock The solution is to use cgroups to control the kernel's memory eviction policies, so that applications that should get priority when it comes to VRAM allocation - like games - don't get their memory evicted from VRAM to system RAM. Basically, evict everything else from VRAM before touching the protected application. This way, something like a game will have much more consistent access to more VRAM, thereby reducing needless memory evictions that harm performance. It's a clever solution that makes use of a ton of existing Linux tools, meaning it's also much easier to upstream, implement, and support. Excellent work.
10 Apr 2026 1:26pm GMT
03 Apr 2026
Planet Arch Linux
800 Rust terminal projects in 3 years
I have discovered and shared ~800 open source Rust CLI projects over the past 3 years.
03 Apr 2026 12:00am GMT
28 Mar 2026
Planet Arch Linux
Building a guitar trainer with embedded Rust
All I wanted was to learn how to play guitar, but ended up building a DIY kit for it.
28 Mar 2026 12:00am GMT