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Microsoft's security blog describes the fight against a new "AI-powered cybercrime platform" offering phishing-as-a-service, with AI-tailored lures and analyses of compromised inboxes (to identify high-value targets). The site compromised more than 12,000 inboxes in over 10,000 organizations around the world, compromising business accounts "at scale" with automated attacks and prebuilt phishing templates. AI tools could even sift through a victim's mailbox to help engineer better phishing messages. To disrupt EvilTokens Microsoft worked with other organizations, including Cloudflare, Coinbase, OpenAI, Railway, SpyCloud, Shadowserver Foundation, and TRM Labs to Health-ISAC (a non-profit helping health sector organizations share cyber threat information). "Fifty sites seized and 150 domains disabled in a single action is only possible when the hosting providers, the exchanges, the model providers and the data holders all move at the same time," security company SpyCloud told The Hacker News. From Microsoft's security blog: Microsoft also notified affected customers, helped remediate compromised accounts, and shared intelligence to support further defensive and investigative action... Microsoft worked closely with specialist officers from the Metropolitan Police Service's cybercrime team, sharing intelligence that enabled officers to take operational action in the United Kingdom. On September 11, 2026, officers arrested two men, aged 32 and 38, and seized digital devices and other items for examination... While EvilTokens used AI to identify targets and prioritize fraud opportunities, Microsoft investigators used reverse engineering and AI-powered tools to analyze evidence, accelerate the investigation, and identify the infrastructure supporting the service... Campaigns leveraging EvilTokens have impacted organizations in various industries, including wholesale distribution, construction, financial services, real estate, higher education, and healthcare, with the highest concentrations of observed victim activity in the United States, Canada, the United Kingdom, Australia, India, and France. Working with partners, Microsoft's Digital Crimes Unit (DCU) facilitated a coordinated disruption of infrastructure used to operate the EvilTokens service. Sometimes stolen tokens were used to give new devices access to a victim's inbox. (A code authenticating the new device was sent to the targeted user, who unknowingly authorize the threat actor's session and grants access to their account...) But "AI was not simply helping attackers write more convincing messages," says another Microsoft blog post. "It helped them decide who to target, who to impersonate, and how to most effectively exploit the relationship to extract as much money as possible." The significance of EvilTokens extends beyond its rapid growth and global reach. It offers an early warning of what happens when cybercriminals combine stolen access with AI capable of understanding how an organization works... Its AI tools could summarize and translate emails, surface financial conversations, map organizational roles, identify trusted relationships, and recommend potential targets. Preset prompts offered to find wire-transfer discussions, identify the organization's "money movers," locate vendor invoices, and determine the best people to impersonate. Sold through Telegram for a $1,500 initiation fee and a recurring $500 subscription, EvilTokens combined account compromise, mailbox analysis, target selection, and fraud preparation in a single service. Capabilities that once required experience across identity attacks, cloud systems, social engineering, and financial fraud were available through a ready-made interface. Investigators found evidence that large portions of EvilTokens had been "vibe coded," with AI helping its creators build the platform itself. They also determined that EvilTokens drew on capabilities from multiple AI models. The result was more than a collection of attack tools. EvilTokens packaged much of the fraud process into a commercially run service, complete with subscription pricing, customer support, management dashboards, and tools designed to move customers from account access toward financial exploitation.

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KDE is on the news because of a controversial proposal to define an official “AI” (LLM) policy. Other projects have tried their hand at similar policies and stances but, in my opinion, they miss the mark about the goal of such initiatives. I think that the point of these statements is shaping social norms and not micro-managing developer workflows. They should be about signalling what kind of behavior we want, and what kind we reject.

This proposal does not go into detail about the many problems that LLM have caused to society, workers, the environment. It goes without saying that all these ills are fundamentally opposed to the humanist spirit of GNOME.

With all that in mind, here is what I personally think a GNOME LLM policy could be:

A GNOME Project LLM Policy The GNOME Project prioritizes the social and human aspects of collective software creation. Therefore: 1. LLMs ("AI") can not be used to create or modify code submitted to GNOME, or hosted on GNOME infrastructure. You might be asked to prove your code meets this requirement. You might be banned for trying to circumvent this policy. Example Guidelines for Contributors

These are just a draft of the kind of criteria one could use to evaluate if a submission fits the policy.

• You must be able to personally reason and explain your changes
• You must be able to demonstrate knowledge of the problem space you are working on
• You must solve the underlying issue, not just its symptoms
• You must respect the time of fellow contributors
• You must not impersonate yourself through chatbots, agents, or other automated systems

This Is About The Future Of GNOME

GNOME is not just software that happens to ship every six months. That is just a delusion we have been holding up for the last 30 years to keep our loose group of colleagues, friends, and acquaintances, together.

GNOME exists as a collective that find joy in reaching beyond our individual limitations to achieve something bigger. These people, this joy, are the whole point of the project. Contributors are not payroll, a liability, that we hope to downsize next quarter.

“Come do free labor for a handful of corporations by reviewing chatbot output in your free time” is not an attractive proposition to young talented people in 2026. If we want GNOME to continue we need to create an attractive and inviting social space where people are valued as people.

Just like the Foundation is moving to individual donations to stop depending on just a handful of companies, we need to look for the next 100 people that will donate a tiny bit of their time, instead of hoping that corporations will keep 10 overworked engineers on staff. We already have seen how companies will happily abandon a whole chunk of GNOME on a whim.

GNOME is not just software, and it should protect the social and human aspects that make it special. Our success metric is the community and social bonds we create. In the most literal sense GNOME is about the journey and the friends we make along the way.

Free Palestine.

FAQ How do you enforce this?

You can not. People will still send LLM generated code. This policy makes it explicit that we do not welcome these careless submissions. We have a Code of Conduct that is 80% about telling other people what our values are, and 20% about handling unwanted behavior (“enforcing”). This is similar.

What if people simply lie about not using LLMs?

This is the same problem as authorship, in the copyright sense. Whenever we receive new code we have to assume that “beyond a reasonable doubt” said code has been authored by the person contributing it. We make our best guess. The attached guidelines are a suggestion to make these new guesses.

Ok. But what if people are really good at lying?

This policy is about the majority that will not even try to lie. See previous questions.

U.S. President Trump addressed the United Nations on Tuesday. And a half hour in, after decrying immigration, Trump pivoted to add that "The United States also totally rejects any attempt to construct a globalist scheme to control for the artificial intelligence being spoken of so much now." But then he added "hereinafter officially called super intelligence, changing the name, in that the use of the word artificial makes intelligence fake. It makes it sound fake, and it is not fake. It's actually... amazing. But we have to be careful — in fact, it is exactly the opposite of what it purports. From this point forward, all of United States documents and hopefully the world's will be changed to use the much more accurate term super as opposed to artificial. So it's super intelligence." TRUMP: In other words, welcome to the new world of super intelligence — SI. SI. Let's see if that goes. It sounds much better. It is much better, and it's much more accurate. Let's see if I have any power. Maybe I do and maybe I don't. We're going to find out pretty soon. Super intelligence. Every major new technology brings challenges, and super intelligence is no exception. Yet the very same people who said we'll all be dead in 12 years because of global warming, a name since reborn to climate change because the planet was cooling not warming, and nobody was dead — these are the same people that are now saying that AI is going to kill us all. That robots are going to attack us, and that everything is going to be a total disaster — same group of people. This is the group that came up with the Russia Russia Russia hoax, the Ukraine Ukraine Ukraine hoax. Climate change, open borders. Whoever wins AI — you have to remember this — and now I say, whoever wins SI, whoever wins super intelligent [sic] — wins. That's the group that wins. And we're leading now over China by a lot, and everyone else, and we're going to keep it that way. We're going to keep it very — very straight and very strong. I'm not going to stifle growth of something that will be bigger than the Industrial Revolution. Many say, bigger than the Industrial Revolution or the internet itself. And we will be very careful, and that's why we have a Department of Justice that we've already used it, having to do with this very subject, and used it very powerfully. Everything worked out very well and very quickly. And other law enforcement bodies that will rein things in if we have to do that. But we will only encourage super intelligence. We're gonna encourage it, not rein it in. We're gonna watch it closely, through the Department of Justice. The United States leads the world in Super Intelligence, and will continue to do so, safely and responsibly. Thanks to long-time Slashdot reader ArchieBunker for suggesting the story.

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Seccomp limits which Linux system calls a process can make.

Privilege escalation in a container does not always begin with a new exploit.

Linux containers can be paused, checkpointed, and rebuilt later with CRIU.

A container normally starts under the security rules of the system receiving it.

Kubernetes groups one or more containers into a pod, the basic unit it deploys.

A live Linux distribution runs from removable media, usually a USB drive, without requiring a permanent installation.

With the imminent release of GNOME 51, I realised I hadn’t released an update to Bobby in a few months.

The long tail of crash reports after a release just doesn’t seem to happen anymore when working with Rust. It’s just done and I moved on to other things.

Screenshot of a SQLite table being searched in Bobby Search

Bobby follows the GNOME version number scheme for convenience, but I did not want to let a major version bump go by without at least one new useful feature. So I’ve added search.

It uses case-insensitive fuzzy matching to filter out rows and highlight cells using the system accent colour as you type.

Simple yet effective!

Future

There are now two big features left that I want to implement:

• Encrypted file support
• Updating values in place

I’m not sure which one to work on in the next cycle, so let me know in this poll on the Fediverse which is most useful to you.

Happy equinox and don’t forget to sanitise your database inputs!

On academic mentoring platform Nova Learning, Computer Science and AI, "once the dominant choice among students... is losing ground fast, while Engineering has nearly doubled its share." It's a small survey, but "The steepest proportional decline is in Software & Data Science, the most traditional 'learn to code' pathway, which lost 44% of its 2025 share. AI saw the largest absolute drop of any single subject in the survey, down 6.2 points. "The category did not decline uniformly. Students moved away fastest from the pathway most associated with entry-level software work, while the more applied and human-facing subfields held their ground better." Slashdot reader BrianFagioli writes: Nova Learning says the share of surveyed middle and high school students naming Computer Science and AI as their primary academic interest fell from 42.3 percent in 2025 to 27.9 percent in 2026, while Engineering rose from 11.9 percent to 23 percent. The biggest gains came from Mechanical and Aerospace Engineering... [B]roader enrollment data points in the same direction. The National Student Clearinghouse Research Center reported declines in Computer and Information Science enrollment at four year institutions, even as Engineering grew. AI coding tools are not proven to be the cause, but as software development changes and AI handles more coding tasks, students may be starting to rethink what a future in technology should look like. [Undergraduate enrollment in CS programs at four-year institutions fell 8.1%, to approximately 606,000 students.]

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The movie Coyote vs. Acme earned more than Warner Bros.' $30 million tax write-off in just two weeks. And last week the movie officially earned more than its production budget of $70 million. But today the movie passed the $100 million mark. "You asked for it, we delivered, and you showed up!" distributor Ketchup Entertainment posted on social media (adding "Thank you to the fans for making this a massive hit!") With a break-even number of $120 million, the movie "will probably make up any theatrical deficit (should there be any) with its impending releases on video on demand and streaming," writes ScreenRant. Almost three years after the completed film was initially shelved for a $30 million write-off, its cumulative domestic box office has apparently even beat Warner Bros. dinosaur movie The End of Oak Street: In addition to officially joining the chart of the Top 30 movies of the year so far at the domestic box office, by surpassing The End of Oak Street, Coyote vs. Acme has outgrossed five of the eight movies that Warner Bros. has put out in domestic theaters this year.... [It's just $17.6 million behind Supergirl, and within $30 million of Mortal Kombat II and Wuthering Heights.] Their anticipated sci-fi sequel Dune: Part Three also seems guaranteed to land higher than 2026's Coyote vs. Acme on the chart (2021's Dune earned $108.9 million in domestic theaters, while Dune: Part Two earned $282.1 million). With its a small marketing budget of just $10 million, the movie seems to be relying on oddball marketing stunts like their AMA on Reddit's r/movies. And commemorating the spirit of the movie, Crayon-maker Crayola even released a special "Coyote Secret Plan" web page for children to print and color — and partnered with the film's stars for a video on the importance of creativity: Lana Condor: Crayola is all about encouraging kids and grown-ups to turn imagination into action. Will Forte: Which is exactly what Coyote does in Coyote versus Acme. He sees a problem and thinks, "Could this be solved with a rocket, a catapult, or a suspiciously affordable mail order anvil?" Lana Condor: Usually no. Will Forte: Usually very no.

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Version:next-20260922 (linux-next) Released:2026-09-22

Two U.S. missiles hit an elementary school in Iran, killing over 150 people including 123 children on the first day of the Iran War. But Gizmodo notes that a new Bloomberg investigation cites U.S. officials involved in an unreleased internal Pentagon review who blame "a cascade of preventable failures that included an overreliance on an AI tool built by Palantir." According to the officials who spoke to Bloomberg, some personnel inside U.S. Central Command leaned too hard on the AI inside the Maven Smart System, an AI-powered data integration and targeting platform developed by Palantir to accelerate intelligence analysis and decision-making. The Defense Department has reportedly made the software tool a cornerstone of military operations over the past year... Officials said some users expected Maven to flag stale records or contradictions in the intelligence assembled for potential targets, though it is not clear why they thought the system would do that. The Minab [elementary school] site, which was cataloged as an Islamic Revolutionary Guard Corps facility due to outdated data, was fed into Maven with other candidates and came out as a recommended day-one target. Target-list work that once took hours was condensed into minutes. A Palantir spokesperson told Bloomberg the company "is not responsible for the underlying data nor identifying intelligence deficiencies" and that there is no evidence its software was at fault. Two people familiar with Palantir's Pentagon contracts said the government keeps primary responsibility for the quality of the information that's fed into Maven. After the strike, Palantir added features that "re-review underlying intelligence to identify factors that would disqualify a target and flag inconsistencies and inaccuracies that human review may have missed," a person familiar with the work said. That new functionality is said to have already caught some anomalies... More than 1,000 Iranian targets were hit in the first 24 hours, and according to Bloomberg's sources, that pace compressed the time available for additional confirmations. Staffing on civilian harm mitigation teams across the U.S. Department of Defense had also fallen by roughly 90% over recent years, shrinking to fewer than 20 people overall. The U.S. Central Command's group shrank from 10 people to one. No member of those teams reviewed the Minab site before the missiles were up in the air. A separate inquiry by the United Nations' Independent International Fact-Finding Mission on Iran this week reached the conclusion that there were reasonable grounds to believe the United States committed the war crime of launching an indiscriminate attack.

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Monday Google opened preorders for its "Googlebook" laptops, pricing them at $899. A Google's blog post added that "At launch, you can choose between Intel Core Ultra Series 3 and Snapdragon X Elite processors" (paired with NPUs to power AI features). "Devices will hit shelves on October 4 in the U.S. and on October 5 in Canada, the U.K., Ireland, France, Germany, and Australia," TechCrunch points out. But "the real pull for the new devices is that they'll prominently feature Gemini's latest capabilities in a new format: the laptop." Google is trying to offer a laptop with unique features like an AI-powered cursor, vibe-coded widgets, and support for AI-enhanced dictation. The latter is a feature called Rambler, which cleans up messy, rambling brain dumps into readable text. The move is a bet that AI, specifically Google's Gemini, could be enough of a draw to get people to buy a new laptop that bakes in AI instead of running them via desktop apps you install or access through the browser... On the Googlebook, Google is trying to reinvent the "point-and-click" experience of desktop computing to now include an AI element: The cursor serves as a conduit to Gemini. The company suggests various ways this could be used, like highlighting content on a web page for Gemini to work with, asking Gemini to see if an email you've hovered your cursor over is suspicious, or selecting images and then asking Gemini to visualize them together... What's more interesting about the Googlebook is how it's seemingly part of Google's longer-term plan to capture a large part of the K-12 market that currently relies on Chromebooks and push them toward the company's Gemini AI. There are somewhere around 50 million Chromebooks in schools, used by students and educators, Google has said. In May, the company told TechCrunch that its current Chromebooks would continue to be supported, though many would become eligible to transition to the new Googlebook experience in the future... Flagship devices in the new range are being built by Acer, ASUS, Dell, HP, and Lenovo, with materials like aluminum, magnesium alloy, and carbon fiber... Google says the device will offer up to 14 hours of battery life. Googlebooks will be decorated with an exterior Glowbar "which dances when you boot up, sweeps to show battery level, and supports other playful patterns," according to Google's blog post. "We're also opening Glowbar access to developers to build custom, interactive animations." After testing actual Googlebooks, The Verge's reviewer first acknowledges that "it might be just another Trojan horse for Gemini." Still, "The hardware is polished (since it's based on current laptops). The OS is familiar (if you've ever used a Chromebook). But most impressive, it integrates your Android phone with your PC so they feel more like one device. It's the culmination of a series of new ideas that blur the two devices together. "After my first look, I went from doubtful to excited by the prospect of Google pulling it all off..." The Asus was incredibly lightweight; the Lenovo has plenty of ports and an optional mouse with a matching Glowbar light; the Acer's convertible form factor allows some tablet-like use (and it's pretty affordable for a Panther Lake laptop). The HP had a great-looking screen and a latticeless keyboard I surprisingly didn't hate, and the Dell is basically a gold XPS 13 (which is excellent) but with a different chip... But everything really special about Googlebooks comes down to software... You can cast apps from an Android phone directly to a Googlebook, even without touching your phone. Googlebooks essentially have two app drawers: a G-logo start menu for installed Googlebook apps and a second one beside it that pulls up mobile apps from your phone. Click a phone app and you can fully use that app with the mouse and keyboard or the Googlebook's touchscreen. It's a bit like iPhone Mirroring on macOS, but the apps are individually extracted to the desktop OS instead of showing your whole phone interface. Googlebooks also have a nifty feature called Continue On where the icons of apps you're currently using on your phone appear in the bottom bar — allowing you to click it on the laptop and hand it off to the Googlebook. These app handoffs can transition to a native app or a web app, depending on how developers have programmed it... The other big way Googlebooks interact with an Android phone is Quick Access, allowing you to see and access all the files stored on your phone right in the desktop Files app... If you have an iPhone then you're limited to a Link to iOS app that just does some message syncing and replying... [W]hen it comes to mainline gaming, Nvidia's GeForce Now service is also coming to Googlebooks, and the first year is free with one of Google's new laptops. "It's not every day we get a new player in the desktop operating system and laptop spaces," the reviewer points out. "There seems to be a higher ceiling of potential with Googlebooks than there was with Chromebooks, along with some cool features, but Google has a lot to prove at higher prices than people are used to paying for its laptops."

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CISA has added CVE-2025-39964, a flaw in the Linux kernel’s built-in cryptography interface, to its list of vulnerabilities being used in real attacks.

Security researchers have shown how hidden instructions in an AWS AgentCore support ticket could push an AI agent into running commands as root and exposing a service credential.

The crun container runtime has changed how GPU-enabled workloads launch a key graphics helper.

Linux developers have fixed two memory-safety bugs in the subsystem that lets hardware move data without constant help from the CPU.

Linux developers have fixed two input-system bugs that could expose small pieces of leftover kernel memory to a local program.