Agreguesi i feed

At the start of the month, Bilal gave us all a giant gift with Goblint. On the first week it was already impressive. Now it’s an invaluable tool for anyone that ever interfaced with GObject, glib or GTK. It will catch leaks, bugs, or even offer to auto fix and modernize your code to the modern paradigms we use. It’s one of those things that is going to save countless hours of debugging and more importantly, prevent the issues before they even get committed. Jonathan Blandford wrote about using it two days ago, and I suggest you read the post.

Everyone is trying to use goblint, and we are all stumbling upon the same issues integrating it into our tooling. Initially, it was only able to produce Sarif reports, which GitLab still has behind a feature flag, in addition to only  be available in GitLab Enterprise Editions.

I added an export for GitLab’s Code Quality format which has some support in the non-proprietary Community Edition we use in the GNOME and Freedesktop.org instances. Sadly, almost everything nice is still only available in the enterprise editions, but at least there is this little Widget in the Merge Requests page.

Additionally, we now have CI templates for Goblint. One is adding a job to the existing gnomeos-basic-ci component we use everywhere. Simply go to your latest pipeline and look for the job.

The report will also show up in Merge Requests that have been updated since yesterday.  The gnomeos-basic-ci has other goodies like sanitizers, static analyzers, test coverage, etc wired out of the box, so you should give it a try if you are not using it yet.

If you do but don’t want the goblint job, you can disable it easily with inputs: goblint: "disabled" similar to all the other tools the component provides.

include: - project: "GNOME/citemplates" file: "templates/default-rules.yml" - component: "gitlab.gnome.org/GNOME/citemplates/gnomeos-basic-ci@26.1"

If you want only a goblint job, I’ve also added a standalone template that you can use. (Or copy-paste from it).

include: - component: "gitlab.gnome.org/GNOME/citemplates/goblint@26.1" inputs: job-stage: "lint"

In order for the Code Quality report to work, you will need to have a report uploaded from your target branch, so GitLab will have something to compare the one from the merge request with. The template rules will handle that for you, but keep it in mind.

At this moment all the lints are warnings so the job will never be fatal. This is why we can enabled it by default without worrying about breaking pipelines for now. You can further configure its behavior to your needs, and error out if you want to, through the configuration file.

min_glib_version = "2.76" [rules.g_declare_semicolon] level = "ignore" [rules.untranslated_string] level = "error" ignore = ["**/test-*.c"]

It’s also very likely that we are going to add goblint and its LSP server to the GNOME SDK Flatpak runtime, along with GNOME OS, so it will always be available for use with tools like Builder and foundry.

Enjoy

 

 

 

 

The Conversation published this warning from privacy/tech law/electronic surveillance attorney Anne Toomey McKenna (also an affiliated faculty member at Penn State's Institute for Computational and Data Sciences). The U.S. government "is able to purchase Americans' sensitive data because the information it buys is not subject to the same restrictions as information it collects directly. The federal government is also ramping up its abilities to directly collect data through partnerships with private tech companies. These surveillance tech partnerships are becoming entrenched, domestically and abroad, as advances in AI take surveillance to unprecedented levels... " Congressional funding is supercharging huge government investments in surveillance tech and data analytics driven by AI, which automates analysis of very large amounts of data. The massive 2025 tax-and-spending law netted the Department of Homeland Security an unprecedented US$165 billion in yearly funding. Immigration and Customs Enforcement, part of DHS, got about $86 billion. Disclosure of documents allegedly hacked from Homeland Security reveal a massive surveillance web that has all Americans in its scope. DHS is expanding its AI surveillance capabilities with a surge in contracts to private companies. It is reportedly funding companies that provide more AI-automated surveillance in airports; adapters to convert agents' phones into biometric scanners; and an AI platform that acquires all 911 call center data to build geospatial heat maps to predict incident trends. Predicting incident trends can be a form of predictive policing, which uses data to anticipate where, when and how crime may occur... Meanwhile, the Trump administration's national policy framework for artificial intelligence, released on March 20, 2026, urges Congress to use grants and tax incentives to fund "wider deployment of AI tools across American industry" and to allow industry and academia to use federal datasets to train AI. Using federal datasets this way raises privacy law concerns because they contain a lifetime of sensitive details about you, including biographical, employment and tax information.... The author argues that it's now critical for Americans to know "why the laws you might think are protecting your data do not apply or are ignored." On March 18, 2026, FBI Director Kash Patel confirmed to Congress that the FBI is buying Americans' data from data brokers, including location histories, to track American citizens.... But in buying your data in bulk on the commercial market, the government is circumventing the Constitution, Supreme Court decisions and federal laws designed to protect your privacy from unwarranted government overreach... Supreme Court cases require police to get a warrant to search a phone or use cellular or GPS location information to track someone. The Electronic Communications Privacy Act's Wiretap Act prohibits unauthorized interception of wire, oral and electronic communications. Despite some efforts, Congress has failed to enact legislation to protect data privacy, the use of sensitive data by AI systems or to restore the intent of the Electronic Communications Privacy Act. Courts have allowed the broad electronic privacy protections in the federal Wiretap Act to be eviscerated by companies claiming consent. In my opinion, the way to begin to address these problems is to restore the Wiretap Act and related laws to their intended purposes of protecting Americans' privacy in communications, and for Congress to follow through on its promises and efforts by passing legislation that secures Americans' data privacy and protects them from AI harms. Thanks to long-time Slashdot reader sinij for sharing the article.

Read more of this story at Slashdot.

An anonymous reader shared this report from the Associated Press: The 1986 Chernobyl disaster fueled global fears about nuclear power and slowed its development in Europe and elsewhere. Four decades later, however, there's a revival around the world, a trend that has been given a big boost by war in the Middle East. Over 400 nuclear reactors are operational in 31 countries, while about 70 more are under construction. Nuclear power accounts for producing about 10% of the world's electricity, equivalent to about a quarter of all sources of low-carbon power. Nuclear reactors have seen steady improvements, adding more safety features and making them cheaper to build and operate. While Chernobyl and the 2011 Fukushima nuclear disaster in Japan diminished the appetite for such power sources, it was clear years ago that there probably would be a revival, said Fatih Birol, executive director of the International Energy Agency. With the war in the Middle East, "I am 100% sure nuclear is coming back," he added... The United States is the world's largest producer of nuclear power, with 94 operational reactors accounting for about 30% of global generation of nuclear electricity. And it is increasing efforts to develop nuclear energy capacity with a goal to quadruple it by 2050... China operates 61 nuclear reactors and is leading the world in building new units, with nearly 40 under construction with a goal to surpass the U.S. and become the global leader in nuclear capacity. European Commission chief Ursula von der Leyen has acknowledged that it was Europe's "strategic mistake" to cut nuclear energy and outlined new initiatives to encourage building power plants. [In 1990, nuclear energy accounted for roughly a third of Europe's electricity, the article points out, but it's now only about 15%.] Russia, meanwhile, has taken a strong lead in exporting its nuclear know-how, building 20 reactors worldwide... Japan has restarted 15 reactors after reviewing the lessons of the earthquake and tsunami that damaged the Fukushima plant, and 10 more are in the process of getting approval to restart. South Africa has the only nuclear power plant on the African continent, although Russia is building one in Egypt, and several other African nations are exploring the technology... With 57 reactors at 19 plants, France relies on nuclear power for nearly 70% of its electricity. The article includes an interactive graphic that shows the growth in the world's nuclear capacity slowing down soon after the 1986 Chernobyl meltdown — with that capacity broken down by country. But it's still increased by roughly 50%. Even Ukraine — the site of the accident — now "still relies heavily on nuclear plants to generate about half of its electricity," the article points out. But Germany "switched off its last three nuclear reactors in 2023."

Read more of this story at Slashdot.

The AI industry is largely failing to ask a key design question, argues theoretical neuroscientist/cognitive scientist Vivienne Ming. Are their AI products building human capacity or consuming it? In the Wall Street Journal Ming shares her experiment about which group performed best at predicting real-world events (compared to forecasters on prediction market Polymarket) — AI, human, or human-AI hybrid teams. The human groups performed poorly, relying on instinct or whatever information had come across their feeds that morning. The large AI models — ChatGPT and Gemini, in this case — performed considerably better, though still short of the market itself. But when we combined AI with humans, things got more interesting. Most hybrid teams used AI for the answer and submitted it as their own, performing no better than the AI alone. Others fed their own predictions into AI and asked it to come up with supporting evidence. These "validators" had stumbled into a classic confirmation bias-loop: the sycophancy that leads chatbots to tell you what you want to hear, even if it isn't true. They ended up performing worse than an AI working solo. But in roughly 5% to 10% of teams, something different emerged. The AI became a sparring partner. The teams pushed back, demanding evidence and interrogating assumptions. When the AI expressed high confidence, the humans questioned it. When the humans felt strongly about an intuition, they asked the AI to come up with a counterargument... These teams reached insightful conclusions that neither a human nor a machine could have produced on its own. They were the only group to consistently rival the prediction market's accuracy. On certain questions, they even outperformed it... We are building AI systems specifically designed to give us the answer before we feel the discomfort of not having it. What my experiment suggests is that the human qualities most likely to matter are not the feel-good ones. They're the uncomfortable ones: the capacity to be wrong in public and stay curious; to sit with a question your phone could answer in three seconds and resist the urge to reach for it. To read a confident, fluent response from an AI and ask yourself, "What's missing?" rather than default to "Great, that's done." To disagree with something that sounds authoritative and to trust your instinct enough to follow it. We don't build these capacities by avoiding discomfort. We build them by choosing it, repeatedly, in small ways: the student who struggles through a problem before checking the answer; the person who asks a follow-up question in a conversation; the reader who sits with a difficult idea long enough for it to actually change one's mind. Most AI chatbots today default to easy answers, which is hurting our ability to think critically. I call this the Information-Exploration Paradox. As the cost of information approaches zero, human exploration collapses. We see it in students who perform better on AI-assisted tasks and worse on everything afterward. We see it in developers shipping more code and understanding it less. We are, in ways that feel like progress, slowly optimizing ourselves out of the loop. The author just published a book called " Robot-Proof: When Machines Have All The Answers, Build Better People." They suggest using AI to "explore uncertainty.... before you accept an AI's answer, ask it for the strongest argument against itself." And they're also urging new performance benchmarks for AI-human hybrid teams.

Read more of this story at Slashdot.

America's National Science Board (NSB) "was established in 1950 to guide the governance of the National Science Foundation," writes the Washington Post, "in an unusual structure within the federal government that echoes the setup of a company board in the private sector. It helps guide an agency that operates Antarctic research stations, telescopes, a fleet of research vessels and supports basic science research in laboratories across the United States." (NSF research has helped evolve the technology used in MRIs, cellphones and LASIK eye surgery.) But yesterday President Trump fired all 24 members of the National Science Board (NSB), the body that oversees the National Science Foundation (NSF), reports Science magazine: In addition to advising the administration and Congress on national science policy, it has statutory authority to oversee the actions of the $9-billion NSF, setting policy and approving large expenditures. Its presidentially appointed members, typically prominent academics and industry leaders, serve 6-year terms, with eight members chosen every 2 years.... Keivan Stassun, one of the dismissed board members, says the mass firing is the latest indication that the White House is ignoring the board's authority and dictating policies at NSF, which has been without a permanent director since Sethuraman Panchanathan resigned exactly one year ago. Stassun, an astrophysicist at Vanderbilt University who was appointed to the board in 2022, thinks the board's public criticism in May 2025 of Trump's proposed 55% cut to NSF's current budget — which Congress ultimately ignored — antagonized the administration. "Maybe one way to say it from the administration's perspective," Stassun says, "is that this group of presidential appointees was advising the Congress to not follow the president's wishes." The Washington Post adds that "The White House did not immediately respond to inquiries about why the members were terminated."

Read more of this story at Slashdot.

After Australia banned social media for users younger than 16, teenagers "immediately worked to circumvent the restrictions," reports Fortune: 14-year-old in New South Wales, told The Washington Post in December 2025, just before the implementation of the ban, she planned to use her mother's face ID to log in to Snapchat and . In a Reddit thread on ways to bypass the ban, one user suggested using a printed mesh face mask from Temu to outsmart apps' facial recognition tools. Others still have tried VPNs that obscure their locations. A new report suggests these efforts are working. In a survey of 1,050 Australians ages 12 to 15 conducted last month, the UK-based suicide prevention organization the Molly Rose Foundation found more than 60% of teens who had social media accounts before the ban still had access to at least one of those platforms. Social media sites including TikTok, YouTube, and Instagram, have retained more than half of their users under 16. About two-thirds of young users say these platforms have taken "no action" to remove or reactive accounts that existed before the restrictions. The survey comes at the heels of the Australian internet regulator calling for an investigation into the five largest social media platforms over potential breaches of the ban. The article points out that "Greece, France, Indonesia, Austria, Spain, and the UK have or are considering similar action, and eight U.S. states are weighing legislation that would put guardrails or ban social media use for minors.

Read more of this story at Slashdot.

Colorado's "age-attestation" bill left the House committee with new exemptions for open-source operating systems, applications, code repositories, and containerized software distribution, reports the blog Linuxiac: [The bill] focuses on operating system providers and application stores. Its main requirement is that these providers supply an age-related signal via an interface, so applications can determine whether a user is a minor... System76 founder Carl Richell shared on Fosstodon that the updated bill now includes "a strong exemption for open source distros and apps" and has passed in the House committee. He also quoted the key part, which says Article 30 does not apply to an operating system provider or developer that distributes software under license terms that let recipients copy, redistribute, and modify the software without restrictions from the provider or developer... This wording covers Linux distributions and many open-source applications without linking the exemption to any specific project, company, or ecosystem. The amendment also excludes applications from free, public code repositories from being considered covered applications. It also excludes code repository providers and containerized software distribution from being defined as covered application stores. This is meant to prevent platforms like GitHub, GitLab, Docker, or Podman-based distributions from being treated like commercial app stores under the bill. "There are more steps but we're on our way to protecting the open source community," Richell posted on Fosstodon, "at least in Colorado."

Read more of this story at Slashdot.

There's a glass roof — but no rear-view window. Instead the Polestar 4 replaces the rear-view mirror with a live feed from a wide-angle camera. Its high-resolution display (1480 x 320 pixels) promises "a panoramic view of the outside," according to Polestar's web site, showing more of what's behind you. "Visibility in the dark and in rainy conditions is also vastly improved." Besides the camera feed (and side mirrors), the Polestar 4 offers four short-range cameras (for 360-degree views), and even short-range ultrasonics, the Wall Street Journal points out. (Car rear-view windows are usually five feet off the ground, "making a typical traffic cone invisible from closer than about 35 feet." ) And this new design also improves "aero efficiency," reducing drag and shearing turbulence, "critical, since the Polestar 4 is all-electric, and aero drag is the mortal enemy of range." [A]s a practical matter, the Polestar 4's innovation only acknowledges what drivers already know. In many modern cars, the rearview mirror is all but useless, anyway. In a typical full-size SUV, the glass in the rear hatch is about 10 feet away from the rearview mirror, with two sets of headrests in between... Having spent a few days in what Polestar calls an "SUV coupe" I am here to report that drivers won't miss the mirror. For one thing, the display is shaped like a conventional mirror, imbuing it with the comfort of the familiar. The imagery is convincingly mirror-like — reversed — with eye-like focal length, decent resolution and lowlight sensitivity, making it easy to trust when judging distances, with the help of graphical overlays and warning tones. It also has excellent auto-dimming algorithms.... The Polestar 4 is called that because it is the fourth model from the Swedish-Chinese premium/luxury collab, born out of Volvo Cars' performance subbrand. Describing it as an "SUV coupe" almost feels like a translation error. The design eschews signaling traditional utility in favor of a jocund modernism — call it orbital chic.... As for missing the rear window, my advice is, don't look back. "In sports cars, rearview mirrors have been essentially decorative for some time," the article points out. (The 1974 Lamborghini Countach LP400 originally envisioned "a rear-facing periscope fitted in a dorsal channel in the roof.") "The era's contempt for rearview mirrors was captured in a scene from The Gumball Rally (1976) when Raul Julia's character snaps the mirror off his Ferrari Daytona and throws it away. 'The first rule of Italian driving,' he says. 'What's behind me is not important.'" There's 11 exterior cameras, plus 12 ultrasonic sensors and a mid-range radar to watch for threats and "intervene if necessary". One feature even reads speed limit signs and shows the posted limit on the driver's display. ("If the car exceeds the limit, the driver will hear a warning sound.") Even the windshield has built-in camera sensors to provide automatically "adaptive" headlights that switch from high beam to low beam when they identify approaching vehicles or the taillights of cars ahead. "A total of seven airbags are deployed in the event of a collision." Thanks to Slashdot reader fjo3 for sharing the article.

Read more of this story at Slashdot.

Microsoft released the "Windows Subsystem for Linux" in 2016, adding an optional Linux environment into every operating system since Windows 10. But now an open source developer has brought Linux to Windows 95, Windows 98, and Windows Me, reports the blog It's FOSS, "with Linux kernel 6.19 running alongside the Windows 9x kernel, letting both operate on the same machine at the same time." A virtual device driver handles initialization, loads the kernel off disk and manages the event loop for page faults and syscalls. Since Win9x lacks the right interrupt table support for the standard Linux syscall interrupt, WSL9x reroutes those calls through the fault handler instead. Rounding it all out is wsl.com, a small 16-bit DOS program that pipes the terminal output from Linux back to whatever MS-DOS prompt window you ran it from. The end result is that WSL9x requires no hardware virtualization, and can run on hardware as old as the i486, the article points out. On Mastodon the developer says they "really got this one in right under the wire, before they start removing 486 support from Linux." The source code for WSL9x is released under the GPL-3 license, and was "proudly written without AI."

Read more of this story at Slashdot.

"Old code like amateur radio and NFC have long been a burden to core networking developers," reads the pull request. And so Thursday Linus Torvald merged the pull request "to rid the Linux kernel of the old Integrated Services Digital Network (ISDN) subsystem," reports Phoronix, "and various other old network drivers largely for PCMCIA era network adapters." This was the code suggested for removal given the recent influx of AI/LLM-generated bug reports against this dated code that likely has no active upstream users remaining... [W]ith the large language models and increased code fuzzing finding potential issues with these drivers for obsolete hardware, it's easier to just get rid of these drivers if no one is actively using the hardware from decades ago... This merge lightens the kernel by 138,161 lines of code with ISDN gone and numerous old network adapters and also getting rid of legacy ATM device drivers as well as the amateur ham radio support. The main networking drivers removed affect the 3com 3c509 / 3c515 / 3c574 / 3c589, AMD Lance, AMD NMCLAN, SMSC SMC9194 / SMC91C92, Fujitsu FMVJ18X, and 8390 AX88190 / Ultra / WD80X3. Linux 7.1 also has removed the long-obsolete bus mouse support as well as beginning to phase out Intel 486 CPU support and removing support for Russia's Baikal CPUs.

Read more of this story at Slashdot.

It's the U.S. government's main link to the AI industry, reports The Washington Post, working to assess national security risks of new models like Anthropic's "Mythos". To run it they'd hired Collin Burns, who'd worked at OpenAI and then Anthropic. But Burns started work Monday at the Center for AI Standards and Innovation — and then "was pushed out Thursday by the White House, according to the people, who spoke on the condition of anonymity to describe private conversations." Officials were concerned about Burns having worked at the AI company, which has fought bitterly with the Trump administration in recent months, according to one of the people and another person. That person said some senior figures at the White House had not been briefed on Burns's selection in advance... The new pick was Chris Fall, a scientist with a long career spanning the federal government and academia. Burns had been asked to resign that afternoon, according to one of the people familiar with the situation... Dean Ball, a former Trump administration AI adviser, said on social media that Burns had given up valuable Anthropic stock and moved across the country to take the government position, and had been "rewarded by his country with a punch in the face." "Obviously what happened is Burns was bumped because of his association with Anthropic," Ball wrote. "A dumb but predictable own goal."

Read more of this story at Slashdot.

The Free Software Foundation's Licensing and Compliance Manager published a blog post this week to explicitly state that"Responsible AI" Licenses (RAIL) are nonfree and unethical. The licenses restrict AI and ML software "from being used in a specific list of harmful applications," according to the license's web site, "e.g. in surveillance and crime prediction." (The license's steering committee is volunteers from multiple academic institutions.) But even though Responsible AI licenses are marketed as addressing ethical challenges, the FSF argues "they do not require anything that is really necessary for users to control their computing done with machine learning, including: complete training inputs, training configuration settings, trained model, or — last, but not least — the source code of software used for training, testing, and running tools based on machine learning." Thus, RAILed machine learning can be, and most probably will be, unethical. Use restrictions do not prevent these licenses from being used to exercise power over users... RAIL contribute to unethical marketing of machine learning, again under the disguise of morally-loaded restrictions they purport to enforce. If we want software to help decrease social injustice, we should oppose licenses that restrict how software can be used. We should focus on effective ways of addressing injustices: government and community support for freedom-respecting tools and services; releasing programs under strong copyleft licenses; and entrusting copyrights to organizations that have the resources to enforce copyleft. Software freedom must be defended, not denied. More specifically, the more free software is out there, the more likely people will collaborate on tools and services that do not pose moral dangers and help solve existing ones. Free software also makes it more likely that users have real choices when looking for freedom-respecting ethical programs and tools based on machine learning. Denying people the freedom to a particular program, as RAIL or similar licenses would have it, prevents them from using such program for the common good.

Read more of this story at Slashdot.

Intel's stock price soared 24% Friday. It's the stock's largest single-day spike since since October 1987, reports CNBC, "as investors cheered signs of renewed growth due to mounting artificial intelligence demand." The stock closed at $82.57 and is now up 124% this year after jumping 84% in 2025. Friday's rally topped a 23% gain for the stock on Sept. 18, when Nvidia agreed to invest $5 billion in the company... "INTC's new CEO fixed the balance sheet, and is executing on a strategy that appears to have put INTC back on the competitive track," analysts at Evercore ISI wrote in a report after earnings, upgrading the shares to the equivalent of a buy rating. First-quarter revenue topped estimates and rose 7.2% to $13.58 billion from $12.67 billion a year earlier. In five of the prior seven quarters, the company posted year-over-year declines in revenue... The rally on Wall Street marks a stark turnaround for the U.S. chipmaker, which lost 60% of its value in 2024, leading to the ouster of Pat Gelsinger as CEO in December of that year... Intel's data center business is driving much of the current growth. Revenue jumped 22% from a year earlier to $5.1 billion, as AI fuels renewed demand for central processing units. Analysts at Citi upgraded the stock to a buy from a neutral rating, anticipating an uplift in CPU sales for all suppliers over the next few years. Besides Tesla, Intel's CEO said Thursday that "multiple customers" are "actively evaluating the technology" their new 14A chip technology, according to CNBC, and that 14A development is happening faster than its 18A technology. The sudden spike in Intel's stock price makes the stock chart look almost like a straigbht line up. Last August it was selling for less than $20 a share — so it's quadrupled in value less that nine months.

Read more of this story at Slashdot.

Physicists have proposed a new kind of atomic clock based on a revived superradiant laser concept that could produce an extraordinarily stable signal with a linewidth around 100 microhertz, potentially the narrowest ever for an optical laser. "The implications of this result could stretch well beyond timekeeping," reports Phys.org. "A laser immune to environmental frequency shifts would be a powerful tool in optical interferometry -- using interference patterns in light to make ultra-precise measurements." From the report: In a conventional laser, a mirrored cavity bounces light back and forth between atoms, building up a bright, coherent beam. A superradiant laser works differently: rather than relying on the cavity to maintain coherence, the atoms themselves act as single coordinated emitters, collectively synchronizing their light emission. Following early theoretical ideas emerged in the 1990s, the concept didn't gain concrete traction until 2008, when researchers at the University of Colorado proposed that superradiant lasers could serve as a new kind of atomic clock. Atomic clocks work by using laser light to probe a very precise transition in an atom, causing electrons to transition between energy levels at an extraordinarily stable frequency. Because a superradiant laser stores its coherence in the atoms rather than the cavity, its output frequency is far less vulnerable to environmental disturbances like vibrations or temperature fluctuations. Yet although this concept was first demonstrated experimentally in 2012 in a pulsed regime, the influence of heating has so far held superradiant lasers back from their full potential. To keep the laser running continuously as an atomic clock requires, atoms must be constantly replenished with energy. Doing this atom-by-atom delivers random kicks that heat the atomic sample and disrupt the lasing process, confining it to brief pulses rather than a steady beam. In their study, Reilly's team considered whether a modification to earlier theoretical concepts could make a continuous laser suitable for an atomic clock. In almost all previous studies, atoms were treated as simple two-level systems: an electron sitting in a ground state, occasionally jumping up to an excited state and back again. The team proposed that the heating problem could be solved by adding one extra ground state to the picture. In a two-level system, if both the pumping (re-energizing) and decay processes happen collectively through the cavity, the mathematics constrains the system in a way that prevents stable, continuous lasing. But with three levels available, pumping and decay can operate on entirely separate transitions, breaking that constraint and allowing the collective approach to work. The findings have been published in the journal Physical Review Letters.

Read more of this story at Slashdot.

An anonymous reader quotes a report from NPR: The Food and Drug Administration approved the first gene therapy to restore hearing for people who were born deaf. The decision, while only immediately affecting people born with a very rare form of genetic deafness, is being hailed as a milestone in the quest to treat hearing loss. "It's the first time in history there's a new drug for hearing loss," says Zheng-Yi Chen, an associate scientist at Mass Eye and Ear in Boston who was not involved in the development of the therapy approved by the FDA Thursday. But his research team reported very promising results with a similar approach Wednesday. "I think it's an historical event, a landmark, a great development for the whole field," he says of the approval. [...] The FDA's decision was based on the results from the treatment of 20 patients born with a defective version of a gene known as OTOF, which is necessary to transmit sound from the ears to the brain. Doctors infused billions of adeno-associated viruses into the patients' ears by making a small incision behind the ear to open a small hole in the skull. The viruses carried a healthy version of the OTOF gene that had been split in half to fit inside the virus. The gene provides instructions to make the otoferlin protein, which is necessary for hair cells in the inner ear to transmit sound to the brain. Most of the patients began to hear for the first time within weeks, with the quality of their hearing improving over the following months, according to [Regeneron Pharmaceuticals, which developed the gene therapy and plans to offer it for free in the U.S. It should be available within weeks.]. The amount of hearing patients gained varied, but 80% achieved at least some significant hearing restoration and 42% ended up with normal hearing, which included the ability to hear whispers, Regeneron says. The hearing ability has lasted at least two years so far. The treatment can only help patients with the very rare form of deafness that Smith was born with, which only affects about 50 children each year in the U.S. But similar gene therapies are showing promise for other forms of genetic deafness. And researchers hope someday gene therapy may help with common types of hearing loss, like from aging and loud noise.

Read more of this story at Slashdot.

Maine Gov. Janet Mills vetoed a bill that would have imposed the nation's first statewide moratorium on new data centers, saying she supported the idea in principle but would not block a major redevelopment project tied to jobs and local investment. Instead, she said she will create a council to study data centers' effects while also signing a separate measure to deny them certain state tax incentives. Politico reports: "After prior redevelopment efforts failed, the Town of Jay worked for two years on a $550 million data center redevelopment project to finally bring jobs and investment back to the mill site," Mills wrote, adding that she would issue an executive order establishing a council to examine the impact of data centers in Maine. The legislation would have made Maine the first state to block the construction of new data centers, as both political parties grapple with how voters view them ahead of the midterm elections. In a statement accompanying the letter, the governor said she had signed a separate bill that would prohibit data center projects from receiving Maine's business development tax incentive programs

Read more of this story at Slashdot.

A few years back I did a quick exploration of what GNOME app icons might look like in an alternate universe where we kept on using VGA displays. Chiselling pixels away is therapeutic. So while there is absolutely no use for these, I keep on making them if only to bring some attention to what really matters for GNOME, having nice apps.

Here's a batch of mostly GNOME Circle app icons, with some 3rd party ones thrown in.

If you're reading this on my site rather than Planet GNOME or some flickering terminal in an abandoned Vault, then congratulations. You've stumbled upon a working Pip-Boy module! Found it half-buried under irradiated rubble, its phosphor display still humming with that familiar green glow. Enjoy these icons the way the dwellers of Vault 101 were always meant to, one glorious scanline at a time.

If you work with patches and git am, then you’re probably used to seeing patches fail to apply. For example:

$ git am CVE-2025-14512.patch Applying: gfileattribute: Fix integer overflow calculating escaping for byte strings error: patch failed: gio/gfileattribute.c:166 error: gio/gfileattribute.c: patch does not apply Patch failed at 0001 gfileattribute: Fix integer overflow calculating escaping for byte strings hint: Use 'git am --show-current-patch=diff' to see the failed patch hint: When you have resolved this problem, run "git am --continue". hint: If you prefer to skip this patch, run "git am --skip" instead. hint: To restore the original branch and stop patching, run "git am --abort". hint: Disable this message with "git config set advice.mergeConflict false"

This is sad and frustrating because the entire patch has failed, and now you have to apply the entire thing manually. That is no good.

Here is the solution, which I wish I had learned long ago:

$ git config --global am.threeWay true

This enables three-way merge conflict resolution, same as if you were using git cherry-pick or git merge. For example:

$ git am CVE-2025-14512.patch Applying: gfileattribute: Fix integer overflow calculating escaping for byte strings Using index info to reconstruct a base tree... M gio/gfileattribute.c Falling back to patching base and 3-way merge... Auto-merging gio/gfileattribute.c CONFLICT (content): Merge conflict in gio/gfileattribute.c error: Failed to merge in the changes. Patch failed at 0001 gfileattribute: Fix integer overflow calculating escaping for byte strings hint: Use 'git am --show-current-patch=diff' to see the failed patch hint: When you have resolved this problem, run "git am --continue". hint: If you prefer to skip this patch, run "git am --skip" instead. hint: To restore the original branch and stop patching, run "git am --abort". hint: Disable this message with "git config set advice.mergeConflict false"

Now you have merge conflicts, which you can handle as usual. This seems like a better default for pretty much everybody, so if you use git am, you should probably enable it.

I’ve no doubt that many readers will have known about this already, but it’s new to me, and it makes me happy, so I wanted to share. You’re welcome, Internet!

Google plans to invest up to $40 billion more in Anthropic, starting with $10 billion now and another $30 billion tied to performance milestones. CNBC reports: Anthropic said the agreement expands on a longstanding partnership between the two companies. Earlier this month, Anthropic secured 5 gigawatts worth of computing capacity as part of an announcement with Google and Broadcom that will start to come online next year. Anthropic could decide to add additional gigawatts of compute in the future. [...] The relationship between the two companies (Google and Anthropic) dates back to 2023, when Google invested $300 million in the AI lab for a stake of about 10%. Months later, Google poured in another $2 billion. Ahead of Friday's announcement, Google's investment in Anthropic exceeded $3 billion, and it reportedly owned a 14% stake in the company. Now, the leading tech companies are investing tens of billions of dollars in the frontier AI labs -- OpenAI and Anthropic -- in funding rounds that far exceed any prior investments in startups. Much of that investment will return in the form of revenue.

Read more of this story at Slashdot.

South Korean police arrested a man accused of spreading an AI-generated image of an escaped wolf, after the fake photo reportedly misled authorities and disrupted the real search operation. The BBC reports: South Korean police have arrested a man for sharing an AI-generated image that misled authorities who were searching for a wolf that had broken out of a zoo in Daejeon city. The 40-year-old unnamed man is accused of disrupting the search by creating and distributing a fake photo purporting to show Neukgu, the wolf, trotting down a road intersection. The photo, circulated hours after Neukgu went missing on April 8, prompted authorities to urgently relocate their search operation, sending them on a wild wolf chase. The hunt for two-year-old Neukgu gripped the nation before he was finally caught near an expressway last week, nine days after his escape. The AI-generated image of Neukgu had prompted Daejeon city government to issue an emergency text to residents, warning them of a wolf near the intersection. Authorities also presented the AI image during a press briefing on the runaway wolf, local media reported. The police identified the man as a suspect after reviewing security camera footage and his AI program usage records. Authorities did not specify if the man had intentionally sent the photo to authorities during their search or simply shared it online. When questioned by the police, the man said he had done it "for fun," local media reported. Authorities are investigating him for disrupting government work by deception, an offence that carries up to five years in prison or a maximum fine of 10 million Korean won ($6,700).

Read more of this story at Slashdot.