The Free Software Foundation (FSF) is now on Bluesky, they announced this week. But "We can't advocate that you sign up for a Bluesky account like we do with Mastodon or PeerTube since signing up for Bluesky means loading the registration page's nonfree JavaScript..." While federated, Bluesky is generally not considered part of the "fediverse" network of social media services like Mastodon and PeerTube, as it uses its own AT protocol rather than ActivityPub... Hosting your own Bluesky "Personal Data Server (PDS)" and relay is technically possible, but generally far more difficult and resource-intensive than spinning up an instance of Mastodon, let alone any of the lighter-weight ActivityPub servers like Akkoma or Starling.

Much of the Bluesky codebase is freely licensed. This allows users to run, copy, modify, and share large parts of the codebase. However, Bluesky's web client still serves nonfree JavaScript to users, just like its registration page. (Since our script was written for us specifically, we have not extensively vetted all available clients.)

Why did we sign up? Simply put, we have to continue to reach people where they are. Bluesky is a decent choice for us that evades many of the issues of other, more problematic networks... We accepted running Bluesky's nonfree JavaScript a single time if it meant being able to reach people who have never heard of software freedom.
The FSF's blog post advises supporters "If you're on social media, follow the FSF on Bluesky and on Mastodon today."

Slashdot also has an account on Blueky.

An anonymous reader quotes a report from The Hill: A group representing American automakers sent a letter (PDF) Thursday to congressional leaders asking for a "permanent ban" on Chinese-made cars in the U.S. John Bozzella, the Alliance for Automotive Innovation's CEO and president, described in the letter China's manufacturing industry as "rooted in a well-documented pattern of unfair trade, subsidies, intellectual property theft and surveillance." Bozzella addressed his request to Senate Majority Leader John Thune (R-S.D.), Senate Minority Leader Chuck Schumer (D-N.Y.), Speaker Mike Johnson (R-La.) and House Minority Leader Hakeem Jeffries (D-N.Y.) -- urging them to back a "permanent ban on the sale, import and manufacture of Chinese connected vehicles," before the 119th Congress concludes in January.

"Right now, Chinese automakers are dumping subsidized vehicles with connected software and hardware around the world," Bozzella wrote, adding that China "is capturing market share" in Europe, Australia, Southeast Asia, Mexico and South America. "This hasn't happened inside the U.S. yet, but given the scale and urgency of this threat, we urge you to enact a Chinese vehicle, software and hardware ban before adjourning this year and make this policy the law of the land," he added. The Alliance for Automotive Innovation, a trade organization representing car manufacturers, represents the "entire" U.S. auto industry, per its website. Bipartisan bills in the Senate and House would bar automakers with more than 15% Chinese ownership from selling vehicles in the U.S. "Enacting a permanent ban on Chinese vehicles and high-risk hardware and software in the 119th Congress will send a clear and bipartisan message that China's strategy to dominate global automotive manufacturing will be met with a national security policy response from the American government," wrote Bozzella.

Further reading: US Car Buyers Envy What They Cannot Have

Google released Gemini 3.8 Flash, its third Flash model in six weeks, claiming it's their best reasoning and coding model yet (topping the DeepSWE leaderboard). Ars Technica reports: Gemini 3.8 Flash comes in two variations. There's the standard Flash, which Google describes as a "workhorse" model that's good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.

For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an "introductory rate" through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it's likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools.

[...] Gemini 3.8 Flash will be available across the Google ecosystem starting today, but Gemini 3.8 Flash Cyber is currently limited to trusted testers and governments. Like the past Flash release, you'll need a Pro or Ultra subscription to access Gemini 3.8 Flash in the Gemini app, but you can always visit AI Studio if you want to tinker with it for free.

New York City Public Schools is banning generative AI for students from pre-K through eighth grade for the 2026-27 school year, affecting more than half a million students in the nation's largest school district. ABC News reports: In a statement to ABC News, New York City Mayor Zohran Mamdani said that the city is implementing a moratorium on generative AI for students in pre-school or 2-K through eighth grade and will spend the next year "studying the impacts of this technology." Mamdani wrote in part, "the tech industry wants us to believe that A.I.-powered early education is not only inevitable, but necessary." "We do not see it that way," he added.

[...] The district said it is implementing the most expansive AI moratorium in the nation, eliminating software that uses student-facing AI and banning companion chatbots. The city's AI moratorium does not apply to high school students. The district said it will offer twice-yearly AI literacy classes designed to help high school students "think critically" about the technology before they start to "rely" on it.

An anonymous reader quotes a report from Wired: Sonos has a new app. Stop me if you've heard this one before. The smart speaker company, long a darling of the audio industry, undid much of the goodwill it earned with its multiroom speakers through a bevy of software updates that broke its app in 2024. Almost all app users hated it, citing the loss of features like volume control and accessibility tools meant to help blind people use the wireless speaker system. Sonos eventually owned up to the mistake, considered bringing back the old app again, then booted its CEO and marched its new leaders out to apologize profusely to win back the company's furious customers.

Now, Sonos says it has a brand-new app update, infused with lots of generative AI features. The company also announced a new soundbar and its second pair of over-the-ear headphones. Sonos representatives say it doesn't want to be seen as a speaker company anymore, but as something bigger and more holistic. "For years people have been seeing us as a speaker company," says Brandon Holley, the interim hardware lead at Sonos. "What we actually are is an audio operating system." The company is calling that operating system Sonos 27, and it manifests in a few ways.

[...] This is a lot of change for Sonos, something the company hasn't always handled gracefully. Sonos' home systems already aren't the easiest to set up, sometimes requiring separate apps for older products. The company may be rejiggering itself as an "audio operating system," but its software has long been the source of its troubles with getting its products to work right. Will AI smarts fix that? Maybe for its newer devices. But anyone with an existing system may still struggle. The AI features on products and in the Sonos 27 app will be opt-in, meaning you can avoid them entirely. "That really is our new approach to our app release," Patel says. "We're going to bring our customers along. We're going to listen more." That would be a good plan. Sounds like Sonos' speakers will be listening more, too. Sonos is emphasizing a more "customer-centric feedback listening approach" after the backlash to its previous redesign. Improvements include easier tab navigation, better room sorting, revamped volume controls, and new system-health tools for diagnosing connection problems.

The centerpiece is Sonos 27voice, a generative AI voice assistant that can handle conversational music requests, connect with services like ChatGPT through Model Context Protocol, and power customizable "Sonos Custom Agents" for tasks such as automatically activating certain speakers. "Obviously AI is something that's very hot these days," Sonos software VP Sid Patel said. "So we have integrated various pieces of AI into our system." However, the features will only work with the newer S2 app, and Sonos cautions that "not every product will support every new feature," with detailed compatibility information coming later.

Sonos is also branding its multiroom networking technology Sonos Fabric, which what Patel calls "the magic that has existed for what Sonos was built on." New Fabric features include portable surround, which lets users temporarily move speakers between rooms and have them automatically configure themselves for surround sound, and Headphone Linking, which lets users seamlessly switch audio between Sonos speakers and headphones.

Broadcom is launching "TrueSource," an effort to curate and secure open-source components used with its Tanzu platform, including Spring, RabbitMQ, and libraries across Java, Python, and Node.js. "The idea is to provide a set of solutions focused on providing clean and secure artefacts," Purnima Padmanabhan, vice president of Broadcom's Tanzu Division, told The Register. "We choose and build every Spring library, databases, other Java components," she said. The Register reports: Padmanabhan said that promise means VMware will also provide "TrueSource trusted artifacts" for code that is not part of Spring, including the wider Java ecosystem, Python, and Node.js. "Broadcom's curation process ensures that the libraries conform to a reference architecture and are supportable by the maintainers of record," according to a company statement. "Thousands of engineers across Broadcom's software divisions scan, fix, contribute to, and consume them every day."

A VMware spokesperson told The Register the Broadcom business unit "will work with and support maintainers on open source software and we will provide fixes to open source upstream for any active projects." "With Spring and RabbitMQ, we are the maintainers. For other open source software, we will work with the maintainers. We believe that the community maintainers must remain the source of truth," the spokesperson said.

This is just the sort of contribution that the open-source community wants vendors to do to reflect the value they extract from software they did not create alone. It's also the sort of thing vendors sometimes conclude they need to do to keep products based on FOSS viable.

This week Debian voted on whether to ban AI-assisted contributions. The winning proposal? "Debian neither endorses nor prohibits the use of generative AI tools" in its projects, documentation, and packaging... Generative AI "is neither exempt from nor subject to special rules beyond the standards already expected of Debian contributors."

"The responsibility for every contribution rests with the contributor who submits it, who remains accountable for its technical quality, legal acceptability, and suitability for inclusion in Debian." "We recognize that such tools can substantially improve the productivity of contributors when used responsibly, allowing volunteers to spend more of their limited time on work that requires technical expertise, judgment, review, and collaboration.

The Debian Project nevertheless expects that all contributions submitted to Debian, regardless of how and with which tools they were produced, satisfy the same standards of quality, correctness, maintainability, and legal compliance. The use of a generative AI tool does not diminish the contributor's responsibility for the work they submit. Contributors are expected to understand, review, test, and, where appropriate, modify AI-assisted output before incorporating it into Debian. Blindly accepting or uploading AI-generated material without appropriate human review is inconsistent with Debian's established development practices.

We enourage our contributors to disclose whether a contribution was made with AI assitance, but do not require them to do so.

Debian acknowledges that the legal status of material produced by generative AI systems remains the subject of ongoing discussion in many jurisdictions, including questions relating to copyright... The Project does not seek to resolve these unsettled legal questions through this General Resolution, nor does it adopt a position on whether AI-generated output is, in whole or in part, copyrightable or derived from copyrighted works. Instead, Debian continues to rely on the judgment and responsibility of its individual contributors. Project members are expected to exercise appropriate care when using generative AI tools, to consider the provenance and licensing implications of material they contribute, and to avoid introducing content whose legal status they cannot reasonably justify. Existing Debian policies governing licensing, copyright, software freedom, and the acceptance of contributions continue to apply irrespective of the tools used to produce those contributions.
It also cautions contributors to keep keys, credentials, and embargoed security reports from leaking to third-party AI services.

But discussion continues on Debian's mailing list. "I regret the loss of contributors," wrote the author of the winning proposition (while acknowledging it would have happened with either option winning). "It is just too early to take a final decision on the matter. Let's revisit this in two years or so, and let this mess of a GR be a warning for our future selves."

Other comments from the mailing list:

• "On a very personal note, I regret that the winning option does not acknowledge all the legitimate concerns around AI: environmental impact, copyright and licensing uncertainty, the health of Free Software communities, and the strain of aggressive scraping on the open web... [W]e have a lot of work ahead of us to act as a community and understand how we can continue to accommodate the very large minority that would have preferred to ban or discourage AI.

• "I also think that our next discussion should distinguish between locally running LLMs and cloud LLMs. The way things are going, locally running LLMs will be an alternative, and then you can much better control what was the training data and the Freeness of the thing."

Thanks to long-time Slashdot reader Robbat2 for sharing the news.

The Washington Post looks "a growing number of Americans who have had their private conversations with AI chatbots made public in court," calling the chatbots "custodians of a fast-growing trove of intimate data that can be sought by law enforcement, or companies or other opponents in civil litigation." A Washington Post review of public records and local news stories found that chatbot logs were cited in 12 court cases over the past two years. It's hard to know how often chatbot material is drawn into investigations and legal proceedings more broadly, because police, and parties in civil cases, don't have to present in court all the evidence they obtain... In some cases, AI companies have reported people on their platforms to the FBI, leading to prosecutions and at least one conviction... OpenAI has said the company uses software to scan conversations for signs of dangerous behavior and flag them to human reviewers.

If a reviewer determines a chat indicates "an imminent and credible risk of harm to others," they report the user to law enforcement, the company said in an April blog post. A spokesperson for OpenAI declined to disclose how many times the company had reported users to police.... Data released by OpenAI shows requests by government agencies and law enforcement for user data growing rapidly. In the second half of 2025, the company disclosed data from more than 80 accounts, an increase of more than four times as many over the same period the year before...

When police ask someone to open their phone during questioning or after an arrest, they often do so, allowing officers to scroll through the apps they use, [according to Michael Price, the litigation director for the Fourth Amendment Center at the National Association of Criminal Defense Lawyers]... In general, the Fourth Amendment, which protects people against unreasonable searches and seizures of their property, provides the right to refuse a search of the contents of their phone unless police have a warrant. "The short answer is that most people consent," Price said. "They shouldn't, but they do..."

OpenAI CEO Sam Altman has argued that conversations with chatbots should receive special legal protections, similar to conversations between clients and their attorneys.
Special legal protections aren't recognized by courts today, the article poitns out. A financial executive who became the subject of a federal criminal investigation for fraud asked Claude about potential defense strategies, then asked a judge to disallow the conversations from the prosecution's case, according to the article. "But the judge said that protections for conversations between clients and their attorneys did not apply: Claude is not a lawyer, and the executive's attorneys did not ask him to talk to the chatbot."

The article includes quotes from three ChatGPT conversations that later turned up in court proceedings:

• "I deleted a email a year ago from my yahoo account. Can yahoo still retrieve the email?"

• "How f----d am i bro. What if i smahsed the s--- oitta mutlipls cars."

• "My dad Said that I'm will get a settlement worth of 1million dollar."

"As AI becomes a bigger part of everyday life, its use as evidence and in trials is likely to become more prevalent," the article points out — especially with the growing popularity of agents that take actions for users.

Longtime Slashdot reader belmolis writes: Part of New York City's 911 emergency system was offline from about 3:13 a.m. to 10 a.m. on August 18th due to a software update, according to Medical Daily. Of 5,659 calls to the Bronx call center during that period, about 1,700 calls connected but could not be heard by emergency operators. Some were rerouted to other call centers, but an estimated 400 human callers never got through. The potentially serious consequences of delayed response to emergencies are not yet known. The city did not notify the public and only released information when journalists inquired. How buggy software came to be installed on a running system is not yet known. The early-morning software update was pushed by Motorola, though exactly what it changed or why it caused the failure remains unknown. The city is still investigating whether the update was adequately tested and whether the same software release was deployed elsewhere.

Ring is rolling out a new default encryption system called TAKE, or "Throw Away the Key Encryption," that rotates video keys every five minutes and permanently deletes Ring's copy after 24 hours. The system is designed to preserve cloud features such as smart alerts and AI video search while limiting what Ring can provide under legal process to non-video account information and encrypted footage. The Verge reports: Ring says TAKE uses unique, rotating encryption keys for your footage, stored in a secure enclave and accessible only under strict conditions -- based on the features you enable on your account. Currently, footage captured by Ring cameras is encrypted in transit to the cloud and at rest, and then decrypted for Ring to process for those smart features. With TAKE, the encryption keys change for every five minutes of footage. Ring stores copies of those keys to decrypt the footage, but throws away each copy within 24 hours, "leaving you with the keys and full control of your videos," according to Ring.

TAKE was developed using Messaging Layer Security, an open standard from the Internet Engineering Task Force, according to Ring. The company says it is "inspired by the privacy principles of E2EE (end-to-end encryption)," which Ring offers on some of its cameras. However, the two systems work differently. With E2EE, Ring never has the keys and can't process your video for cloud-based features. Both options are available on newer cameras that encrypt on-device, and you can switch between the two. Older cameras encrypt at cloud ingress and only support TAKE.

According to a white paper the company published today, Ring's copy of those keys is managed inside an AWS Nitro Enclave, to which Ring's access is restricted by "access controls, cryptography, and hardware isolation." The company claims there is no persistent storage and no way for a Ring employee to access it. The stored keys can only be unlocked by the enclave through cryptographic attestation that proves it's running the exact software image Ring approved. The enclave releases a temporary key when an enabled service requests it. When asked about what happens if Ring is subpoenaed by law enforcement, a spokesperson for the company said: "Where TAKE is enabled, Ring will only be able to provide non-video information (such as basic subscriber information) and encrypted video files in response to the valid legal process. We have updated our Law Enforcement Guidelines to reflect this change."

Longtime Slashdot reader dhartshorn writes: Foreign-produced "bulk power" equipment is now effectively banned, and the list of what constitutes such equipment is essentially everything used to make up the grid... much of which we are heavily dependent on foreign sources to supply. In a Wednesday executive order, President Trump said foreign supply of electric equipment "constitutes an unusual and extraordinary threat" to national security. The Hill reports: Under the order, it will be up to Energy Secretary Chris Wright, in coordination with other officials, to determine whether a piece of equipment poses an issue. The order could impact a wide range of equipment, including substations, transformers, batteries used for energy storage, generators, turbines, software and more. It does not lay out specific threats or single out any country by name.

[...] Under the last Trump administration, the president put a similar order in place. The new order comes amid several reported cyberattacks on U.S. water systems, which officials suspect have links to Iran, according to The New York Times.

The Information reported on Wednesday that Nvidia has agreed to buy open-source platform Hugging Face for $12.9 billion. "Deal talks began after Hugging Face, an open-source AI platform developers use to collaborate, test and share tools, received acquisition interest from another suitor," reports CNBC, citing the (paywalled) report. Business Insider separately reported the acquisition talks. From CNBC: If completed, the acquisition would put one of the most widely used platforms for sharing and working with open-source AI models under Nvidia's ownership, expanding the chipmaker's reach further into the software and model ecosystem. Siddy Jobe, a fund manager at Eonopolis Exponential Technologies funds, said it made sense for Nvidia to target a company like Hugging Face, as Nvidia has made it clear that it is not looking to discriminate between closed and open-source models.

"I think Nvidia is very much a community, a platform-based company, and in that respect, I think Hugging Face fits perfectly within that. There is this five-layer cake from Nvidia, and foundational models are one of them," Jobe told CNBC's Squawk Box Europe on Thursday. "It is clear that Nvidia wants to be integrated in the entire stack vertically, going from energy to foundational models and also to applications," he added.

Amazon has agreed to acquire DuckLabs, bringing the team behind the popular open-source DuckDB database into AWS. "The deal fits Amazon's broader push to turn S3, its flagship cloud storage service, into a place where customers analyze data rather than just store it," reports GeekWire. "It gives Amazon a team experienced in building fast, lightweight analytics software that runs directly against data sitting in cloud storage." The DuckDB project itself will remain free and open source under the MIT license, overseen by the independent DuckDB Foundation. From the report: Employees of DuckLabs will join Amazon Web Services, including co-founders and DuckDB creators Hannes Muhleisen and Mark Raasveldt, who will continue leading the team and setting the project's technical direction. They will remain based in Amsterdam, where the team will continue developing DuckDB and related projects. [...] Financial terms were not disclosed. Amazon said it has signed a definitive agreement and expects the acquisition to close shortly. DuckLabs said it expects to become part of AWS in early September. Jordan Tigani, the CEO of MotherDuck, which sells a cloud service built on DuckDB, sees Amazon's acquisition as a predictable move to turn DuckDB's growing popularity into an AWS business. "That's Amazon's playbook, after all: wait until an open source project gets big enough, then launch it as a service," he wrote in a blog post, adding that "they're not acquiring Duck Labs just because they love open source."

Tigani also believes the deal could ultimately strengthen DuckDB, since Amazon has an incentive to keep the project open and widely adopted: "If DuckDB becomes the standard, it is going to drive a lot more compute on their infrastructure, which is where they make their money."

The long legal battle over ownership of Linux "is closer than ever to ending," reports the Register, "after a panel of three judges ruled a claim against IBM and Red Hat isn't valid, and that time has expired for further action." In 2021, an heir to SCO settled with IBM for $14.25 million — a sum that reflects the fact SCO had for years failed to produce strong evidence to back its claims. Another of SCO's legal successors, Xinuos, filed a new claim that IBM should be on the hook because Big Blue knew it did not own the code it contributed to Linux but instead had a non-exclusive license to use it. Xinuos argued that when IBM contributed Project Monterey code to Linux [25 years ago], it breached that license.

Xinuos eventually took that argument to the US District Court for the Southern District of New York — and failed to convince it that IBM and Red Hat had a case to answer. Xinuos appealed, and on August 10th the United States Court of Appeals for the Second Circuit decided [PDF] not to revisit the District Court's decision, agreeing that the original legalese governing Project Monterey means it's too late to re-litigate the matter. The Appeals Court also agreed that Xinuos tried to frame the case as a licensing issue but failed, instead arguing that the issue was really about ownership.

That ain't all, folks, because Xinuos intends to file a petition to have the case re-heard by the full bench of the Court of Appeals. That hardly ever happens, unless the court finds significant errors or major legal issues that make a rehearing worthwhile. Law firm Kaplan says the Second Circuit has allowed reviews of less than 0.03 percent of the cases it has handled. So perhaps this matter is now close to a final resolution.
Back in 2000 Slashdot interviewed one of the presidents of SCO.

It's "radically different from other quantum computers" reports Phys.org. The Helios system uses trapped ions — charged atoms suspended in free space using electromagnetic fields.

But it operates with 98 qubits — making it the largest trapped-ion quantum computer built so far. Quantinuum, the company behind the device, is based in Cambridge, U.K., and Broomfield, Colorado. It demonstrated earlier machines operating on 32 qubits in 2023 and 56 qubits in 2025...

It relies on two major advances — one in hardware and one in software. First, the four-way X junction lets the system handle several tasks at once rather than one at a time, which is much faster. That was impossible in earlier QCCD [quantum charge-coupled device] machines, which could only move data back and forth in a single line or loop. Second, judicious use of the freedom offered by the two dimensions of the X junction relies on new classical control software called Helios runtime, which plans the smartest, fastest route for moving and processing the data. Together, these represent a substantial advance in the engineering of quantum computers.

An important consequence is that Helios can perform computations that cannot be performed even on the largest supercomputers using known methods within reasonable amounts of time and power consumption. This demonstrates the ability of this device and its successors to surpass the computational prowess of classical computers — although their algorithms and hardware are rapidly advancing, too. Having said that, Helios' computations have just been random benchmark tests, so the practical importance of this leap forward is still limited. To perform quantum computations of practical importance in science and commerce, even the most optimistic estimates suggest that quantum computers must be enormously bigger and better — of the order of a million qubits.

Debian developers are voting on whether to ban AI-assisted contributions, reports the blog Linuxiac, with a ballot listing eight proposals and a "None of the above" option. The first one is still the original proposal to ban LLM-assisted contributions by changing the Debian Social Contract. This would stop generative AI from being used for direct Debian work like packaging, software, documentation, translations, websites, and project communication. However, upstream projects made with AI help would not be affected. The proposal gives several reasons for the ban, such as unclear copyright and licensing, doubts about the reliability of AI-generated work, extra review work for maintainers, aggressive scraping of Free Software resources, and the high resource use of large AI systems...

The second option would clearly allow contributions that are partly or fully made by an LLM, as long as contributors check their technical quality, security, licensing, and usefulness, fully understand the changes, and disclose major AI help. It would also ban sending private or sensitive Debian information to untrusted external AI services. A similar fourth option recognizes worries about generative AI but says banning it would be hard to enforce and not helpful. This proposal would accept AI-assisted Debian work if it follows the Debian Free Software Guidelines, is properly reviewed and understood by the contributor, and is marked as AI-assisted when needed. The fifth proposal is even more open. It says Debian should not support or ban generative AI tools, but should apply the same standards for quality, correctness, maintainability, and legality to all contributions, no matter how they were made...

One unique proposal is called "Debian is created by humans." Instead of banning AI tools for contributors, it focuses on what actually gets included in Debian. With this approach, contributors could use generative AI for research, analysis, exploration, or critique, but could not submit AI-generated output directly as Debian packaging, patches, documentation, bug reports, project communications, or other Debian work. As the proposal says: humans create Debian. Another, much stricter proposal asks Debian contributors to avoid LLM use as much as possible. It would require all Debian communication, like bug reports, mailing-list messages, Salsa discussions, and Planet Debian posts, to be written only by humans. Any AI use in Debian work would have to be disclosed, and violations could be handled under the project's Code of Conduct.
The CEO/founder of AI-native compliance management platform company Strike Graph believes a Debian AI ban is "the wrong fix for the actual problem" at hand, reports The New Stack: "Debian's ban isn't really about banning AI," [CEO Justin] Beals says. "It's an admission that nobody has built a reliable way to verify what an AI agent actually produced before it lands in a codebase this many systems depend on, including infrastructure running in orbit. That's a legitimate thing to be worried about...." He thinks that any policy statement that says AI isn't allowed simply won't hold up, as the tooling keeps getting harder to detect...

Looking across the complete set of tabled propositions, proposal A (no LLM contributions to Debian via social contract) needs a 3:1 majority to pass; the other seven proposals (B to H) need a simple majority.

Slashdot reader fjo3 shared this article from Wired: [Flock] has told the public for years that its technology "cannot recognize, identify, or track individuals." It has now built a system that does both, an artificial intelligence tool for police that can identify drivers and track vehicles by their patterns of movement alone, WIRED has learned... Because the system also reaches police case files, 911 dispatch logs, and commercial identity records, those plates can be turned into names, home addresses, and relatives. It can search for people in an area drawn on a map based on nothing more than a physical description...

The code describes 45 tools at the AI's disposal, giving it access to plate scans and camera metadata, arrest records, case files, dispatch logs, ballistics results, and commercial databases that contain Social Security numbers, dates of birth, phone numbers, email addresses, relatives and associates. Flock says it is testing the product with a small group of law enforcement partners and describes it as still in development, with capabilities that may not reflect what it eventually sells. It arrives as the company faces bipartisan political pressure, a growing record of officers caught misusing its platform, and a wave of vandalism that has left cameras sawed off and lenses painted over in cities across the country...

An officer no longer needs a plate, a name, or a crime to begin: They supply a place, a stretch of time, and a pattern of behavior, and the system is designed to hand back the people who fit... One prompt Flock preloaded into the system reads: "Find me witnesses based on vehicles most seen in [neighborhood] during [last 14 days] during [daily timeframe] *(will not include whitelisted vehicles)." An officer would fill in the blanks and submit it. The output is a list of plates, which other tools in the product then convert into names and home addresses. Another prompt instructs the system to list everyone arrested more than twice in two years for "any offense," exempting only narcotics arrests, and then says to map where those people live, retrieve the calls for service at their homes, and "do a workup on the top three individuals." The prompt begins with everyone in the area who has an arrest record and ends with dossiers on three of them, chosen by the software. A "workup," in Flock's terminology, is a one-command background check. It starts with a name and a date of birth and returns what the department's records and commercial data hold: vehicles, prior listings as a suspect, and, on a second screen, relatives, phone numbers, and online accounts.
Wired shares this reaction from a law professor at George Washington University.

"It is clear Flock has aspirations far beyond ALPRs to become a digital platform for policing,"

47% of recent graduates say AI has already impacted hiring in their field, according to an April survey from ZipRecruiter.

"But is AI really the problem, or is it more complicated?" asks NPR. "Here's what economists have to say." According to the Federal Reserve Bank of New York, the unemployment rate for recent graduates — which it defines as 22-to-27-year-olds with a new bachelor's degree or higher — was 5.7% as of June, more than the rate for all workers, which stands at 4.1%... Stanford University economist Erik Brynjolfsson says AI is impacting the labor market for entry-level roles. "AI is not the whole story, but it's part of the story and the evidence is building," he says. Using payroll data, Brynjolfsson and his co-authors found that since late 2022 — when large language models like ChatGPT started popping up — early-career workers ages 22 to 25 in AI-exposed roles, like software developers and marketing managers, have experienced a 16% relative employment decline. In comparison, employment rates for older workers in AI-exposed fields and for all workers in jobs that aren't easily automated — like home health aides, physical therapists and construction workers — remained stable or have grown over that same time period... [Though he also says often when companies pull back on hiring, they cut junior roles first.]

Harvard University economist David Deming isn't convinced that AI is to blame for the challenging early-career job market. "If you look very carefully at the timing, it looks like the decline in junior hiring actually started a bit like six months before ChatGPT was released. And so what that tells me is it's something else," Deming says. "I think it's more like remote work." A recent analysis from the New York Fed found that companies are less likely to hire recent college grads into roles that can be done remotely. As remote jobs increased following the COVID-19 pandemic, so did unemployment among younger college grads, the New York Fed found. The analysis also found that AI didn't explain the rise in unemployment among younger workers and that remote work was more of a driving force... Employers hiring for remote jobs may be less likely to choose an entry-level candidate because it's harder to train them from afar... [And with remote positions, there's many more senior candidates to choose from.]

And here's another thing to consider: University of Chicago economist Anders Humlum says if AI were replacing entry-level jobs, you'd expect to see companies that rely heavily on AI to hire fewer workers. But that's not what the data shows. Humlum points to a study done by the financial accounting firm Ramp and the workforce research company Revelio Labs. The study examined AI spending and employee head count across more than 21,000 U.S. firms, from early 2021 to early 2026. It found that at companies making the largest AI investments, entry-level head count grew by 12% over the two years following AI adoption.

An anonymous reader quotes a report from ZDNet: According to a Bloomberg report, attributed to China's Ministry of State Security, the country has ordered some government agencies to drop Windows 10 China Government Edition for Chinese-made Linux distributions. Why not Windows 11? Because China, like many other non-US governments, no longer trusts American companies with their software and services. This approach is all about digital sovereignty. In addition, even before the recent trend of governments outside America moving away from Windows, Beijing has started a long-running push to replace foreign technology in sensitive systems with domestic, open-source alternatives.

[...] The Chinese government did not specify which Linux versions would replace Windows 10. However, the stock prices of Chinese Linux suppliers, Kylin Software and Tongxin Software Technology (commonly known as UnionTech), immediately jumped. These companies' respective operating systems, Kylin OS (no relation to Ubuntu Kylin) and UnionTech OS (UOS), were already positioned as domestic desktop and server replacements for Windows in government, state-owned enterprise, and critical-infrastructure environments. [...] Huawei's HarmonyOS 2, which began as an Android variant but is now a proprietary mobile and Internet of Things (IoT) operating system, is also being developed into a PC platform. HarmonyOS 2 won't be deployed anytime soon. Kylin and UOS are the only mature desktops that are ready for institutional desktop deployments.

[...] ... this transition won't be easy. For agencies now moving off the government Windows build, the issue will be more demanding than simply swapping one desktop interface for another. Migration requires application testing, peripheral and driver validation, identity system integration, document-format compatibility, staff retraining and, in many cases, replacement or adaptation of Windows-dependent line-of-business software. The report provides no details on exactly how this transformation will occur. But the speed of the shift suggests that these issues are already being addressed in China's centralized managed desktop stack.

Apple is cutting more than 200 jobs as it shifts resources toward a rebuilt, AI-powered Siri and other future products. Roughly 100 positions are being eliminated from the Vision Pro organization, including much of its gaming team and some immersive-video staff. Another 100 cuts are hitting the Siri and software teams. Bloomberg reports: In a statement, Apple acknowledged that it was realigning some teams "to evolve our business to deliver the best experiences for our users." "While we will create new roles as part of this change, it will also impact a limited number of existing roles," the company said. "We are grateful to these team members for their contributions, and we are committed to supporting them throughout their transition, including opportunities to apply for other roles at Apple."

The Siri reshuffling is tied to an upcoming AI-infused version of the assistant, which is built on a new technical architecture. That shift requires a change in the necessary expertise, prompting the company to eliminate a small number of existing roles, reallocate resources and create new positions supporting the updated Siri.

The changes to the Intelligent Systems Experience team reflect an effort to reorganize work on AI-powered capabilities. As more groups bring AI functions to apps, features and services, Apple is realigning teams to match priorities and accelerate development. The restructuring will eliminate some existing positions while creating new roles.