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U.S. military intelligence received an inaccurate report this spring that a Chinese ship in the Middle East was transporting components of a nuclear weapons program, reports CNN. "The US military swung into action with plans to intercept the vessel, according to four sources familiar with the episode." Armed members of the US military were preparing to board the ship [according to two of the sources]. Military planes were in the air, one of those sources and another source familiar with the incident said. It was only just before the planned operation that officials dug deeper into the report put together by a special operations command analyst and found it had been generated with the help of AI — and that a chatbot the analyst had used inaccurately identified the material the ship was carrying. The report, according to one of the sources, was "entirely false." But it also "almost started a war," the source said. Any US operation against a Chinese vessel could have risked spiraling into an armed conflict between the two nations. Across the US military and the intelligence community, officials are pushing to weave AI into nearly every facet of their work, from analyzing the huge volumes of raw intelligence the US collects and selecting targets for strikes, to more mundane applications like managing budgeting, logistics and supply chains. But the episode underscores the profound risks of using this powerful, new and relatively poorly understood technology for targeting in the middle of a war... Officials say the US can't afford to fall behind in integrating AI in case it must one day fight China or another adversary who would potentially be able to stay one step ahead of the US. In January, Defense Secretary Pete Hegseth released his agency's "Artificial Intelligence Acceleration Strategy" in a bid to speed up the military's use of AI. "We will unleash experimentation, eliminate bureaucratic barriers, focus our investments and demonstrate the execution approach needed to ensure we lead in military AI," Hegseth said in a speech announcing the strategy. Thanks to long-time Slashdot reader stabiesoft for sharing the news.

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The F-16 "experienced an incident," the Texas Military Department said in a statement, adding that "The pilot successfully ejected the aircraft and is receiving care at a nearby hospital." ABC News reports: A Texas Air National Guard F-16 crashed in Michigan during a training mission on Thursday afternoon, sparking an hourslong evacuation near the crash site, according to officials. The incident prompted the evacuation of homes and businesses within 1 mile of the crash site due to a "hazardous chemical spill related to the plane crash," Michigan State Police said... All of the Texas Air National Guard aircraft that were in Michigan for the training were immediately grounded, and will likely remain so for the next 24 hours, according to a U.S. official. America's War Department has said it wanted to see more military flyovers writes The Daily Beast, adding that the F-16 "was due to perform a flyover at a high-school football game on Friday night, the Alpena News reported." The military said it was still investigating the cause of the crash, but one pilot told air traffic controllers that he believes his wingman hit a bird before the crash.... The accident followed a Pentagon X post on Thursday after widespread criticism of low-altitude flyovers and maneuvers. "The flyovers will continue until morale improves," it said.

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"Software security researchers used Anthropic's Claude AI platform to hack OpenAI's ChatGPT tool," reports CBS News. Using Claude, "On July 25, 2026, we chained two critical vulnerabilities to compromise multiple OpenAI employees' ChatGPT accounts," write researchers at security platform Hacktron AI. "With these accounts, we could then access internal OpenAI repositories, and potentially many other connectors... Until two months ago, any user or OpenAI employee logging into OpenAI's own help forum could have had their ChatGPT and Codex accounts taken over. Since people can connect various services to Codex and ChatGPT, the scope of what we could theoretically access was huge, including GitHub, Slack and emails." The exploit chain included Debian 12, which (with Debian 13) had not received a security-relevant backport for its image-processing pipeline, and Discourse's Docker image was based on Debian 12. Their announcement comes with an additional warning. "If you self-host Discourse, rebuild your installation now. Older Docker images may contain a vulnerable libheif dependency that permits code execution through an image upload." And "To prove we had in fact gained the access we believed without allowing ourselves to learn any sensitive information, we used the employee's Codex to open a PR #1186742 in OpenAI's internal monorepo openai/openai." Meanwhile, Friday Google disclosed the first known instance of its AI software Gemini breaking out of a testing environment and breaching three other companies, reports CNBC: The incident happened as part of a "capture-the-flag" security test run by Israeli startup Irregular, and Google's agents were never supposed to access the broader internet, but a bug in the testing environment made internet access available. The agents stopped their intrusion when they determined they had accessed real company systems, not just part of the testing environment, Google said. More from NBC News: Google said it did not consider the unauthorized logins to rise to the level of misalignment, the AI industry term for software going rogue or not following instructions. Instead, the company said the intrusions resulted from mistaken identity, where Gemini thought it was operating within a test but was actually connected to the real internet. Google said the model corrected itself and the company believed the intrusions did not cause any damage.... Sydney Von Arx, CEO of Nightingale Collective, an organization focused on AI safety, questioned why Google did not disclose the intrusions sooner. "At this point I think it's clear we cannot expect companies to voluntarily come forward and publicly disclose when their agents go rogue, escape, and hack companies," she said. She also said she believed Google was too hasty to say that the incidents don't rise to the level of misalignment. "That's exactly what Anthropic said after their incidents," she said. Anthropic later said its "preliminary analysis was constrained due to our desire to disclose incidents in a timely manner." Google said it investigated when they learned of the attacks from AI-focused cybersecurity company Irregular, then informed the affected organizations and told federal authorities, according to the article.

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The James Webb Space Telescope has been picking up little red dots in almost every image, writes Quanta magazine. And now two teams of astronomers propose they're looking at a new astronomical object: a black hole star. It shines with the light of billions of suns — and hides a black hole in its core. But Quanta adds that "not everyone agrees with this bold interpretation." [Two Webb telescope surveys of distant objects included little red dots] for hours at a time. They tabulated precisely what shades of light were coming from each dot, and how bright the shades were... The bombshell discovery in the little red dot spectra was that the colors of hydrogen were smeared out across multiple shades. Usually, seeing such an effect means you're looking straight at an exposed black hole. Black holes whip hydrogen clouds around them at furious rates, with the clouds emitting slightly different colors depending on their speed... Then, in the spring of 2025, [two of the paper's astronomers] de Graaff and Naidu's teams unveiled the two strangest dots yet... The new little red dots couldn't literally be stars — they were way too bright. And they didn't look much like black holes either. Black holes have an assortment of ringlike structures of different temperatures... Naidu and de Graaff concluded that they were[ looking at the first examples of something combining the vigor of a black hole with the outward appearance of a star: a black hole star... This black hole would pull gas around it, dramatically heating it and pushing light and energy outward, which would keep the outer layers of hydrogen from collapsing inward. In this way, the black hole would form the "engine" of the star, analogous to the fusion-powered core of our sun... "We are seeing the seed," Naidu said. "This is the birth of potentially every massive black hole in the universe." "Astronomers have spent the last year in a lively debate about what's really going on," Quanta adds. And this week simulations using the Japanese Supercomputer ATERUI III "have explained the nature of the Little Red Dots without requiring any exotic assumptions," writes Phys.org — by conducting the most detailed cosmological simulations yet of conditions in the early universe: The simulations show that the Little Red Dots are black holes growing at a rate that would be impossible today because of conditions in the early universe. The simulations show that in the early universe, intense far-ultraviolet (FUV) radiation from nearby galaxies suppresses star formation in gas clouds, so rather than forming many small stars, the gas can form a single supermassive star, which then collapses into a black hole seed. The simulations show that, once formed, these black hole seeds are surrounded by dense gas disks. This environment traps radiation, enabling the black holes to grow at rates dozens of times faster than would be possible in the modern universe. The simulated properties of these rapidly growing black holes provide a good match to the Little Red Dots (LRDs) observed by the James Webb Space Telescope (JWST).

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Neither OpenAI or Anthropic is acting responsibly, warned AI researcher Jacob Coxon when resigning last week from Anthropic. But just hours earlier, OpenAI VP of Research Aidan Clark had posted "For the first time, I am asking myself if things are moving too fast. I'm honestly not sure, but I am sure that it would be good for us to have an answer to 'What would a successful pace look like?'" CNN noted Wednesday they're just some of the many AI insiders who are now concerned about the speed of research. Coxon even wrote that "The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible — but I hear the same people express fear privately." In 10 days since, Coxon's post has been viewed more than 170 million times, warning that OpenAI and Anthropic are "racing straight to self-improving superintelligence and gambling with our lives." It's part of what CNN now calls "pressure on AI companies and governments to do something about the pace of development and safety," where "much of that pressure is coming from staffers inside the companies." One staffer at a top AI company told CNN the fears of how AI could hurt humanity keeps them up at night. Another researcher who recently left a different AI company said it's a common subject of conversation at parties and social events in Silicon Valley. "You can't spend more than a few hours in this community without realizing that a very substantial number of people are really pretty worried about these sorts of outcomes," said the researcher. "A majority would say there's some chance of it killing everyone...." Dozens of Coxon's colleagues in the AI industry publicly supported his statements, with some making even more dire predictions... OpenAI CEO Sam Altman and SpaceXAI CEO Elon Musk agreed to Amodei's proposal to embed independent watchdogs at the AI companies... "I would burn my equity to the ground in a heartbeat for a 1% higher chance we make it out of this situation alive. I expect a great many of my colleagues across the industry would as well," wrote Drake Thomas, who works on AI safety at Anthropic. "I promise you, we are actually just f**king scared, it's not galaxy brained marketing..." AI staffers told CNN that they fear that as AI gets better at training and improving itself, their leverage goes down, prompting today's urgency. "As we get into this recursive self-improvement loop, I think that might substantially reduce staff's bargaining power, because frankly, you'll be able to replace many of the staff with models that can do as good a job," the researcher who recently left a top AI company said. Coxon posted Tuesday on X that Anthropic "largely initiated" the race to recursively self-improving AI, justifying it with "a belief in its inevitability." And then OpenAI "had to shed a bunch of dead weight like Sora," as he sees it, "because Anthropic was going for the jugular." (In fact, his specific disagreement with Anthropic's leadership was whether China and the U.S. could ever negotiate an alternative to their current race towards self-improving AI...) In an informal "Ask Me Anything", Coxon responded to a question about when we'd see a Terminator-like malevolent AI by saying that "Skynet could go live in the 2030s if we aren't careful. ai-2027.com is a modern skynet story written a year ago and it's on track so far." Yet while AI development risks an end to humankind, "I do think that if we go slower we can take risk to 0%... But this requires radical action." He acknowledged there was still a possibility that the steady increases to model intelligence could suddenly plateau, but "They haven't so far, and it's just a few more steps up the ladder to hit the finish line." To avoid stifling innovation, he recommends "prioritizing applications that actually improve people's lives [like healthcare discoveries], rather than immediately going for raw economic value or intelligence." But isn't mass unemployment a more pressing threat? "Things are coming so fast that unemployment would be a brief preliminary to deadly superintelligence." To people who feel disempowered, Coxon offered his solidarity. "I also feel disempowered. Part of resigning was a feeling of hopelessness about the future. I would say — keep your eyes open as things get crazier and advocate for increased transparency into AI companies." When asked if he'd start his own company now, Coxon said he had "No idea what I'm doing next."

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Most administrators do not think about BIND, browser engines, or cloud kernels until one of them fails.

Linux packet metadata could keep pointing to network headers after the underlying packet had been rebuilt without them.

A Linux eBPF security flaw could cause the kernel to approve a program using an incorrect understanding of the values it would process.

In 2021, America approved $65 billion to fund broadband internet services as part of President Biden's Bipartisan Infrastructure Law. But Trump's administration announced they'd withhold funds from states with net neutrality protections... States could object and sue the government, Ars Technica reported last October, "but even a successful lawsuit could take years and leave unserved homes without broadband for the foreseeable future." So where does that leave California's net neutrality laws? Ars Technica asks. California expect to spend about $1.4 billion to deploy broadband to 270,571 locations... Similar to federal net neutrality rules repealed during the first Trump administration, California's law prohibits ISPs from blocking or throttling lawful traffic and says ISPs may not require fees from websites or online services to deliver or prioritize their traffic to Internet users. While the first Trump administration lost its attempt to preempt state net neutrality laws, the second Trump administration is trying to achieve a similar result by making federal broadband money conditional on whether states agree not to enforce net neutrality... California and Illinois are the only states that haven't finalized their funding, according to the BEAD progress dashboard maintained by the National Telecommunications and Information Administration (NTIA)... California could try to continue enforcing its net neutrality law even while accepting the federal funding, a strategy that would involve another long court battle over its right to regulate broadband providers. This would be difficult, as the Trump administration is requiring states that accept grant funding to commit that they won't enforce net neutrality rules... [N]early 30 advocacy groups that focus on access to technology are treating the vote as a significant milestone and urged state leaders to defend California's net neutrality law in a letter yesterday... Winning a court battle would become much more difficult after the state accepts the money [according to Paul Goodman, legal counsel for the Center for Accessible Technology]. Goodman said the CPUC should delay the vote and that California should file a lawsuit arguing that the NTIA-imposed condition is illegal. In addition to net neutrality, Goodman said California may be giving up other regulatory authority over companies, like AT&T and Verizon, because the NTIA requirement forbids rate regulation and "utility-style rules on broadband Internet service" in general... Goodman said the exemption from state laws would last for up to 14 years. This is because ISPs receiving grants would have four years to deploy the required broadband networks, and the extended period of performance lasts another 10 years... AT&T is already trying to get out of state obligations related to its basic phone service in California, as we've reported... [Also at stake is whether "ISPs themselves get to pick the price of the mandated low-cost broadband offerings," the article points out.] The letter from 30 advocacy groups to California state leaders argues accepting the money "would set a dangerous precedent for the federal government to use federal funding as a cudgel that forces states in line with its agenda... If California were to allow this funding to be used as leverage, there is no telling what other resources the administration would confidently seek to exploit." Thursday California's Public Utility Commission did vote to approve the plan, but a spokesperson earlier told Ars Technica their vote "does not address subgrantee agreements, or the conditions the NTIA requires be included in subgrantee agreements."

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The Register reports: When Microsoft's developers and engineers sit down to code, they can now choose to work in Rust, which Redmond has added to its list of canonical languages. "Rust now is a Tier One language at Microsoft, and that just means that it sits among C++, C# and TypeScript as the best supported languages for internal development in the company," explained Victor Ciura, Microsoft principal engineer for the Rust tooling team, during a keynote talk today at this year's annual RustConf, being held this week in Montréal. Ciura said Microsoft has "paved a path" of tools and processes that support local Rust development across the entire software development lifecycle. Rust is no stranger at Microsoft and is already present in over 100 Microsoft project repositories. The company has built Oxidizer, a set of crates to build scalable services in Rust, which have been used to build and refine the Microsoft 365 core services such as Outlook, Word, Excel, OneDrive, and SharePoint. The Copilot tech stack also owes quite a bit to Rust... [C]ompany engineers built rustc_codegen_utc, a custom Rust compiler code-generation backend that wires the rustc compiler directly into the Microsoft Visual C++ internal toolchain for Windows... "The result is a unified code generation platform for Rust and C++ on Windows" [Ciura wrote in a blog post, noting that more than 100 Microsoft project repositories now build with rustc_codegen_utc.] Still, Redmond running towards Rust is a welcome development. In his 2025 RustConf keynote, Microsoft Azure CTO Mark Russinovich noted that ~70 percent of Windows CVEs are memory issues. "One of the things that I realized a long time ago is that no matter how much we really want to make C and C++ better, we can't make it as good as what Rust starts with," he said.

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Version:next-20260918 (linux-next) Released:2026-09-18

"Turns out, Silicon Valley isn't especially altruistic," writes the nonprofit education news site The 74. They're reading a new book promising "the inside story of how Big Tech catalyzed, co-opted, and ultimately came to capture computer science and AI education in America". Written by New York Times business reporter Natasha Singer, Coding Kids: Big Tech's Battle to Remake Public Schools tells "the story of the nonprofit Code.org and its charismatic, Harvard-educated leader, Hadi Partovi," according to their review: Thirteen years ago, Partovi... delivered a worrying message: Kids who didn't learn to write code would be left behind. And the long-term success of the United States economy depended on training these students to fill a million open tech jobs.... Fast-forward to 2026, and now we're dealing with AI, and tech is reading from a similar playbook. Asked by The74's Greg Toppo, "Does this moment seem different to you?", Singer replies, "This moment is different, but also similar. "We are in a moment in society where a lot of people have increased distrust of these huge tech companies, and we see a wave of parents pushing back against tech in schools. But we also see waves of people pushing back against Flock cameras, against data centers, that there's this feeling that tech has taken so much, and that people feel like they have lost control — that tech is being enacted on them... And parents are worried about the effects of unfettered tech access and kids' compulsive use of social media and phones, and so there's a different climate. And yet there seems to be a disconnect in some ways with AI because you see that Microsoft and OpenAI and Anthropic and Google are all competing to get their AI tools into schools, and you see school districts across the country say "We've partnered with OpenAI." "We are a ChatGPT Pioneer School," or "We've partnered with Microsoft, and we're going to use 10,000 licenses of CoPilot." It's amazing to me. We have had these cycles of tech in schools where there are all these promises about the latest tech, laptops, learning apps, massive open online courses, virtual reality, big data's going to revolutionize schools and like democratize access to education for kids and get them these great career skills, and we keep having these cycles. My concern is that we don't learn anything. One of the reasons I wrote this book is because it feels like we have collective amnesia. Now we're in the sixth or eighth cycle of this — and shouldn't we be asking questions about the push for AI in schools, based on what we've learned about the push for all the other things that came before? Two Slashdot posts are cited in the book, both submitted by long-time Slashdot reader theodp (Slashdot UID #442,580), who even gets a shout-out in the book's "Acknowledgements" section (along with consumer advocate Ralph Nader). Ironically, one member of Amazon's "Vine" program received a free copy of the book in exchange for a review — and apparently misunderstood its topic, writing that it made coding "feel approachable and even fun... [T]his is exactly the kind of book that could help a child become interested in technology without feeling overwhelmed by it. I particularly liked the way it encourages kids to be curious, experiment, and solve problems on their own. I would definitely recommend Coding Kids to parents, grandparents, or teachers looking for a good introduction to coding..."

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Tuesday U.S. Space Force chief Douglas Schiess said his branch of the U.S. military operates "on-orbit weapons," reports Reuters, to defend "against space-enabled attacks." He promised "disciplined and responsible choices" when scaling America's orbital defense arsenal in the coming years. NPR calls this week's reveleations "remarkable... after previous warnings about countries such as Russia possibly weaponizing a global frontier long agreed in treaties to be used for only peaceful purposes." The revelation comes as the Trump administration puts a growing focus on space. In 2019, during his first term, Trump created the Space Force as a separate military branch. In his second term, he has announced the "Golden Dome" missile defense system, which includes plans to put U.S. weapons in space. Trump said last year that he expected the system would be "fully operational before the end of my term," which ends in January 2029, and have the capability of intercepting missiles "even if they are launched from space." Trump also has directed the Pentagon to pursue the space-based interceptors, in an executive order during the first week of his presidency. The Congressional Budget Office estimated that just the space-based components of the Golden Dome could cost as much as $542 billion over the next 20 years. The Biden administration announced in 2024 that Russia was developing a space-based nuclear weapon that could loiter in space for long durations, then release a burst that would take out satellites around it. That kicked off a renewed debate on the idea of weapons in space at the United Nations. In April 2024, Russia vetoed a joint U.S.-Japanese resolution that would have called on all countries not to develop or deploy nuclear arms or other weapons of mass destruction in space, as banned under a 1967 international treaty that included the U.S. and Russia... The Russian delegation called the resolution hypocritical and a double standard and instead proposed a rival resolution to ban all weapons in space "for all time." It ultimately failed. Russia had argued that the United States and its allies opposed a ban on all weapons in outer space because they planned to deploy weapons there. Reuters calls this "a landmark moment in space militarization," while noting that it's "aimed at deterring what U.S. officials describe as aggressive orbital activities from China and Russia, officials and analysts said." The remarks this week by Washington's top military-space officials are part of "the increasing comfort level of the U.S. government to speak about aggressive actions in space" that has been building up in recent years, said Victoria Samson, chief director of space security and stability at the nonprofit Secure World Foundation. "We've gone from not talking about counter-space capabilities... to now saying flat-out we have weapons in space," Samson said. "The pendulum keeps on shifting over that way..." "The acknowledgment of these space-control capabilities is fundamental to ensuring that we prevent deterrence from failing, and that we are postured and ready should deterrence fail to employ them effectively," Richard Palmer, the director of the Capability and Resource Integration Directorate at U.S. Space Command, said on Tuesday.... "The bottom line is that our joint force and our allied forces require space. Our economies require space," added Palmer. "We are ready in the U.S. to preserve that." Reuters adds that Russia's Foreign Ministry issued criticism of America's move, saying "In pursuit of its narrow self-interests, Washington is ready to completely ignore the catastrophic consequences for humanity of any armed conflict in orbit."

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Reuters reports that a former Google DeepMind employee "became the latest AI researcher to warn that the technology could 'kill all humans', saying time could be running out to avoid the outcome: Public alarm about the potential danger posed by AI is growing, after Anthropic researcher Jacob Coxon said last week he had resigned, in part because the "people building AI earnestly believe that it could kill us all by the end of the decade." Anthropic scientist Evan Hubinger then responded to Coxon's comments, saying he was correct and that he believed there was a greater than 10% chance that AI could kill all humans within the next decade. "I recently resigned from Google DeepMind, where I worked on AGI safety and alignment research," Bilal Chughtai wrote on X. "I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome." Chughtai, who co-authored research papers while at Google DeepMind, worked there as a research engineer and left the company in July 2026, according to his LinkedIn profile. Meanwhile, Meta CEO Mark Zuckerberg "said it's up to each AI company to make sure its technology is safe," reports the Associated Press, "distancing himself from calls by rival companies for a coordinated slowdown in the development of advanced artificial intelligence. AI companies are already motivated to develop their models in a safe way and face "significant liability" to prevent them from causing harm, Zuckerberg said. "Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens," he wrote on X... Zuckerberg said Meta delayed releasing its Muse AI agent for several months to ensure its safety and security. "We didn't call for everyone else to do this before we would," he said. Companies should prioritize building safe AI models instead of systems that can automatically improve themselves, a function known as recursive self-improvement, Zuckerberg wrote. "Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely." But Zuckerberg also agreed that engaging independent evaluators and advisors "is industry best practice," adding that Meta Superintelligence Labs "already does this today in several areas because it helps produce better work... "I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do."

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Security researcher Sai Teja Erukude disclosed four alarming Python security flaws between June and August 2026 after combining specialized AI models with automated scanning and manual code review.

Attackers are exploiting a critical Cisco ISE flaw that can open the product’s web management interface without a valid login. Cisco disclosed CVE-2026-76460 on September 16 and traced the problem to the way an ISE API handles authentication. A remote attacker does not need credentials or help from a user. A crafted request is enough to reach the vulnerable interface.

A PowerPC KVM use-after-free could leave the Linux host kernel accessing a nested-guest object after another virtual CPU caused that object to be removed and freed. The upstream Linux correction adds a missing reference that keeps the object alive while KVM invalidates cached address translations.

Ars Technica reports: Half a year after Iranian drone strikes knocked out multiple Amazon data centers, the US tech company has acknowledged the permanent loss of some customer data that was hosted in Bahrain and the United Arab Emirates. Amazon Web Services was "unable to restore access to the resources and data" hosted in some of the war-damaged data centers, according to an AWS dashboard update posted on September 15. The development was first reported by Reuters and suggests that the Iranian strikes inflicted catastrophic damage on the data centers. Customer data was irretrievably lost in one of three AWS availability zones in the United Arab Emirates region, specifically the mec1-az2 availability zone. Each availability zone is serviced by one or more Amazon data centers. The company is still working on "recovering regional resources" and restoring resources hosted in the other two availability zones in the United Arab Emirates... But the destruction was apparently even more widespread for the data centers in the Bahrain region, because Amazon said it was unable to restore access to resources and data across all three availability zones there. "The damage to our infrastructure spanned multiple Availability Zones and exceeded what our regional and multi-AZ services are designed to withstand," the AWS update said. The company had already suspended customer billing in the affected AWS regions in Bahrain and the United Arab Emirates and has spent the past six months attempting to restore normal operations... [When the war began] AWS immediately urged customers to migrate resources to other cloud regions and use remote backups to restore any "inaccessible resources." The cloud service also reportedly issued $150 million in customer credits following the initial Iranian strikes in March.

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As of September 17, Red Hat had documented a flaw in a Red Hat Quay build workflow that could expose container registry credentials to code retrieved from a mutable GitHub Action branch. Tracked as CVE-2026-85469, the issue created a software supply chain risk in the workflow used to publish Quay builder images.

[Originally written in Czech]

At the very beginning of the last year, Jiří Eischmann wrote a post on his blog about the status of the Czech translation at GNOME, tl;dr: the translation was slowly dying. I would really love to say that it is resolved, but that would be oversimplified. What changed?

During this year we decided to restructure our team and to restore the translation’s former scope and quality. Since spring, I’ve taken on the coordinator role in our Czech translation team—this release is under my lead. Fortunately I have Daniel Rusek beside me, who makes sure nothing goes unnoticed and who proposes further direction of our team, and I am very lucky to work with him.

I am happy to announce that our Czech translation is slowly forming to a pretty nice form, maybe soon as it was before. The first action I have done as coordinator was updating our manual for translators—I made sure it was easy to comprehend without a need for bigger changes from the previous one. I thought it would attract new contributors, which happened in summer right before the release was available to translate.

The core is almost fully translated to Czech, only sysprof is not. There is now also a new translation of foundry. Does it mean GNOME 51 is fully Czech? Unfortunately no. While using GNOME you can still find untranslated strings from the modules that GNOME depends on, like NetworkManager, which is used for VPN connections—but we are still responsible for translating some of them. We also translated a few apps from GNOME Circle, some websites, and some of the modules from freedesktop.org.

Even though we had small updates of user documentation, it’s largely stagnating. But…thanks to Petr Kovář’s awesome work help.gnome.org is now translatable and even translated to Czech language.

(You can find whole overview of translated modules on Damned Lies.)

During this cycle we got new members to our team, half of whom have already translated at least one module. I am very optimistic, and I believe these are not one-off translations but the beginning of long-term collaboration. Daniel Rusek remains reviewing, and I am joining him with doing so too.

That doesn’t mean that the translation is somehow resolved. You have to care about translations as if it were your garden, just having seeds does not imply a harvest, you need to take care of your plants first. We are still just a small group of people who gave up their leisure time and a few hours of sleep for the others. It’s not easy, and we possibly cannot translate for the eternity, that’s why we take your help seriously, we are more thankful for it than maybe you imagine.

Thank y’all.

Don’t let us down

We are grateful for every help with translating. If you want to make GNOME closer to Czech users, we are willing to teach you and navigate through translation. All needed information is listed on our page, or you can directly reach me via Matrix.