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.

"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..."

Targeting students and beginners, Adafruit released "CircuitPython" in 2017 (as a derivative of the MicroPython microcontroller-optimized programming language).

Now Adafruit managing director Phillip Torrone (also long-time Slashdot reader ptorrone) brings this update: Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code on a computer, then loads them onto compatible microcontroller boards.

It builds on MicroPython's Native and Viper emitters. In a documented Metro RP2040 fixed-point Mandelbrot test, Viper cut computation time from 8.335 seconds to 0.423 seconds, a 19.71x speedup over bytecode. The rest of the application stays in Python. The guide includes benchmarks, source code and hardware demos. The speedup is for the measured computation, not the whole application.
"Turbo support is now included in the latest official CircuitPython builds for RP2040 and RP2350 boards..." explains Torrone's announcement at Adafruit.com. "The new Turbo in CircuitPython helps when the board spends time calculating: making neopixel effects, drawing fractals, processing audio, filtering sensor readings, or preparing lots of pixels. Those projects can get smoother animation, quicker responses, or room to do more things at once." With Turbo, it's easier, better, and now even faster to make LED light up costumes that also reacts to sound at the same time, a sensor dashboard with animated graphics, or a tiny game doing physics while drawing the screen. Turbo speeds up the busy Python parts. It won't make a slow sensor or display connection faster... Your computer turns selected functions into instructions the chip can run directly. Python still handles the rest.

We have measured speedups, real display captures, and examples you can pull apart to see what happened. None of this arrived alone. CircuitPython, MicroPython, PyMCU, compiler tools, open hardware, and people sharing their work gave us pieces to connect. The Bao experiments take that idea somewhere else, handing calculations to four helper cores. Now we get to make those paths easier to use, compare results, and find the next useful thing. Maybe that's smoother animation, a responsive instrument, or an idea we haven't tried yet.

That's what I like about open source. Someone shares a piece, someone else sees a possibility, and we get to keep building it together.

"Ubuntu has managed to do away with GNU Core Utilities in its default stack," reports the blog It's FOSS.

The last three utilities — cp, mv and rm — have been moved to versions from the uutils project (which reimplements utilities in Rust). Everything else, from ls and cat to chmod and du, made that jump in earlier releases... Canonical started "oxidizing" Ubuntu last year, and Ubuntu 25.10 became the first release to ship [ the uutils project's] coreutils as the default. That release also made sudo-rs the default privilege tool, replacing a command that had been in place for decades.

26.04 was the release where the plan did slow down quite a bit, as Canonical kept cp, mv, and rm on their GNU versions due to a bunch of TOCTOU issues that were blocking the full implementation. These were caught during an audit, when Canonical commissioned Zellic for two rounds between December 2025 and March 2026, focusing on the most security-sensitive utilities first. Across both rounds, Zellic raised 113 issues, and 44 of them were assigned CVEs. Canonical says the vast majority have been resolved.

Getting here has had its ups and downs, and the last stretch was not clean. In July, uutils cp went back into the archive and came straight out again after it broke live image builds. The fix was quick; as the developers marked it "Critical," the fix went upstream, and the migration landed in time for 26.10.

When typing commands, nothing changes for you on the surface. uutils coreutils is designed to be a drop-in replacement for essential GNU tools, and the project treats any divergence from GNU as a bug, further pointing out that some options may still be missing or behave differently. So if you prefer staying on the GNU version, you have the option to install the coreutils-from-gnu package that houses all the required components.

Phoronix reports: AMD is building out what they are describing as an "elite" team of developers for driving Rust code "deep into the GPU stack" from firmware to drivers, shader compilers, and other GPU software in Rust. AMD Senior Fellow Harsh Meno posted this week to LinkedIn about this new effort...

And note this AMD job posting that's active for hiring a software development engineer to work on Rust code...

"We are building next-generation systems software for AMD GPUs with Rust as a core technical direction. The work spans compilers, runtimes, low-level GPU software, firmware, developer tooling, and methods for improving the safety and correctness of complex hardware-software systems.

"Rust is not incidental to this role. You will help establish how Rust is used in performance-sensitive and high-trust parts of the GPU stack, including the compiler and tooling support, system interfaces, engineering practices, and validation methods required for production deployment. You will have the opportunity to influence both near-term implementations and the longer-term architecture for using Rust across current and future AMD platforms."
"AMD also isn't alone," the article points out, "as NVIDIA has also been pursuing similar Rust-based initiatives for their GPU software too, including the development of the Nova Linux kernel driver written in Rust."

A new streaming TV channel shows films made with genAI, reports Engadget. "Fairground AI Creator TV" is free — and supported with ads — describing its material as "AI Cinema": "AI-generated" can make it sound as though someone typed a sentence into a machine and came back five minutes later to find a finished movie. Fairground's catalog shows why that description can be too simple. Take Lost Garden: The Awakening of the Lantern Knight. According to its Fairground page, creator Frank Houbre wrote the world, characters, mythology, emotional arc and screenplay himself. AI tools were used mainly for animation and visual production, with other tools helping create voices and music before the episode was assembled in conventional video-editing software.
There's still one question, the article notes: "whether viewers actually want an AI-focused TV channel." More than 100 AI creators have contributed to the 24-hour slate of programming, although Variety points out several of them were discovered on social media.

The channel was recently profiled in an article by the Guardian. Its headline? "'Nightmare fodder': Roku's AI slop channel is even worse than expected." (And its subheading calls it "a 24/7 channel devoted to low-quality AI content for viewers sick of watching real people move...") What about people who hate plot and vision and the sight of people speaking convincing dialogue that synchronises perfectly with the movement of their lips? What about the people who just want to watch an unyielding torrent of eerily weightless nightmare fodder? Well, good news. Roku has finally caught up... Early reactions were, to put it mildly, not great. The Verge compared it to eating from a trough, while Futurism called it "bottom-of-the-barrel slop"...

On the plus side, the channel is evidence that artificial intelligence has come on in leaps and bounds over the last couple of years... However, it is still awful. Categorically, catastrophically awful. The channel doesn't so much offer shows as a drifting dreamscape of bad ideas rendered as horribly as possible with no thought paid to scheduling. At one point on Wednesday, a shrill high-frequency anime gave way to a long and staid German-language short about Nazi bureaucracy. After that came a sort of Gladiator ripoff that had all the dynamism of an exhibit you'd see at the fourth-best museum on a poorly planned family holiday.

TiVo is notifying customers about changes to "one of its longest-standing and most popular DVR features," reports the blog Cord Cutter News: Starting November 2, 2026, the current version of SkipMode that allows users to jump over commercial breaks with a single button press on the remote will no longer be available. The company is instead preparing to test a new paid add-on called Premium Auto Commercial Skip.

SkipMode has been a core part of the TiVo experience for years. After a supported show finished recording, the service added markers that let viewers leap from the end of one program segment directly to the start of the next, bypassing the ads in between. On newer TiVo Experience 4 devices, users could even set the feature to automatic so commercials were skipped without any remote interaction. The feature was limited to popular prime-time programming on major networks, typically appearing a short time after a show aired.

Under the new plan, that one-button and automatic functionality will disappear from the standard service. Viewers will still be able to skip commercials the traditional way by using the 30-second skip button or the fast-forward control on their remotes. Those manual methods have existed on TiVo boxes for more than two decades and do not rely on the company's commercial-detection data. In November, TiVo will offer a 30-day free trial of the new Premium Auto Commercial Skip service. After the trial ends, customers who want to keep the automatic or one-button skip capability will need to add it to their accounts for an extra monthly fee.

The company has not yet published the price.
Thanks to long-time Slashdot reader AmiMoJo for sharing the article.

An anonymous reader quotes a report from VentureBeat: The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Telegram, iMessage, WhatsApp, Discord etc), has cooled off substantially from its peak in March 2026. But over the weekend, OpenClaw's creator Peter Steinberger and current team of co-developers gave the world -- especially enterprises -- a reason to look at it again, announcing OpenClaw 2.0, billed as the most significant update to the harness and surrounding platform yet.

OpenClaw 2.0 seeks to transform what began largely as a personal agent harness into something increasingly designed for teams, shared infrastructure and enterprise workflows. OpenClaw 2.0 introduces a rebuilt browser interface that brings conversations, files, approvals, configuration and live agent activity into a common workspace. It adds shared cloud sessions and multi-user collaboration. And it expands the security model with stronger sandboxing, role-based permissions, approval controls, secrets handling and auditing.

Together, those additions move OpenClaw closer to being infrastructure that an organization could deploy for employees rather than simply a powerful agent an individual developer runs locally. They also sharpen a competitive question surrounding the project: whether OpenClaw has addressed the security and isolation concerns that helped inspire newer alternatives such as NanoClaw. The answer is increasingly yes at the capability level -- but not necessarily by default. Over the past two months, OpenClaw has been "build[ing] OpenClaw with OpenClaw," shifting its team from individual local coding tools to a shared agent environment at team.openclaw.ai that can see what everyone is working on. Steinberger called "multiplayer coding + infinite compute with nodes and cloud sessions" a "game changer," adding that local coding harnesses now "feel like relics of the past."

VentureBeat highlights a use case from Solvely CEO Colin Johnson that shows how OpenClaw's multiplayer WebUI can improve collaboration between developers and AI agents. Instead of simply "messaging a bot," multiple developers can now join the same live session, see the same history and artifacts, and work "inside the same context." In Johnson's case, that meant a developer taking over his project could simply join the existing agent thread rather than rely on a separate handoff document. As he put it, "the session itself became the handoff document."

In an Amazon News blog post, their HR leader describes using AI to write 100,000 lines of code — 25 years after she last coded. "Do you know how empowering it is to realize that after 25 years away from coding, you can actually build again?" First she built a calendar app for her family, but then used Amazon's AI-powered coding tool Kiro to write an app for Amazon's internal "Everyone Can Build" event. We opened the competition to every employee on our team, and within just a few weeks, more than 1,500 people were building. I couldn't believe what they built. One employee built an app that turned a nearly four-hour manual process into a one-second automated check, saving tens of thousands of hours annually. Another made a desktop pet named Momo that keeps your tasks, reminders, and shortcuts a click away.

Since then, I've written over 100,000 lines of code with AI. What I've found is that the more you work with these tools, the more natural the process becomes, and the more you realize they're expanding what you're capable of, not replacing it. You don't need perfection to start. You just need to dive in. When I decided to build the submission app for our team competition, I didn't know how to begin, so I asked our internal AI workplace assistant, called Aza. It pointed me to the right tools and helped me take the first step. From there, I opened Kiro and started building. When you give employees the ability and tools to solve problems themselves, they will surprise you with what they create...

At Amazon, every employee has access to AI tools. Whether someone needs a quick answer, wants to move faster in their day-to-day, or is ready to try building something new, the resources are there. The more people use these tools, the more capable they become with them, and that experience carries forward in their careers... We also want to make it easy for people to build credentials that are recognized across industries. That's why AI training is free for every Amazon employee. Amazon covers the full cost of one AWS AI certification exam per year, with options ranging from foundational AI concepts to professional-level generative AI. Employees can choose the path that fits where they are in their learning journey.
Long-time Slashdot reader theodp notes that 7 months ago Galetti also took to Amazon News to announce the elimination of 16,000 corporate jobs, a move which CNBC noted coincided "with a push to invest heavily in artificial intelligence."

The job reductions come just a few months after October's layoffs, when 14,000 employees were let go across Amazon's corporate workforce. At the time, the company indicated the cuts would continue in 2026 as it found "additional places we can remove layers."

America's public education system has become "an avenue for multitrillion-dollar companies to enact their agendas," argues a NewYork Times reporter who's covered that tech industry influence for over 10 years. Big tech companies "advocate for new laws to require schools to teach industry-aligned subjects. They sit on committees that help shape learning standards for public school students..."

The reporter concludes that "Silicon Valley's efforts to capture the attention of education professionals and provide student training materials can also double as marketing or indoctrination." They enable some of the most powerful corporations on the planet to spin rosy technology stories for administrators, teachers and students, giving them a sanitized view of industry practices and product risks. Many parents would likely object if, say, Exxon Mobil wrote their children's environmental science curriculum. Or if Purdue Pharma trained their children's biology teachers. Yet, over the last decade, schools have often embraced the technology industry in similar ways with few questions asked.
The article excerpts the soon-to-be-released book " Coding Kids: Big Tech's Battle to Remake Public Schools," with the reporter adding more thoughts on LinkedIn: Every few years, Silicon Valley has urged American public schools to quickly adopt the latest technology or teach the latest tech subject: Big Data analytics; laptops for every child; algorithm-driven math and reading apps; compter programming; virtual reality. And each time the urgent arguments sounded remarkably similar: if schools just adopted the latest tech tool, or taught the latest tech subject, it would democratize learning for every child and equip students with valuable career skills.
Despite good intentions, "today we know some of those classroom tech drives did not exactly pan out as advertised." Now some of the same companies that urged schools to provide laptops and coding lessons are employing similar arguments to urge schools to quickly adopt A.I. tools. I've spent years covering Chromebooks and student chatbot use. And I'm troubled by our collective amnesia around school tech.
Thanks to long-time Slashdot reader theodp for sharing the article.

An anonymous reader quotes a report from Ars Technica: Documentation files on more than 100 websites are referencing potentially dangerous executable content that gets installed automatically when visited by many AI agents [including Claude, OpenAI's Codex, and Nous Research's Hermes]. A few dozen companies, some of them Fortune 500s, are among those that executed proof-of-concept code. At least one misconfigured site is directing visitors, human or AI, to live malware.

The potentially dangerous content is in llms.txt and llms-full.txt files, an emerging convention websites employ to provide machine-readable summaries of the site's content and its high-level structure. These files are the AI equivalent of the robots.txt standard that instructs search engines how to index the site's content. Google Lighthouse, a tool for helping web developers, has more here. Correctly configured llms.txt and llms-full.txt files for Cloudflare are here and here. "The trust model is broken," Alon Hertz, one of the researchers, wrote in an interview. "Agents treat vendor docs as ground truth and don't question them -- and neither do the humans supervising them. Agentic AI usage is exploding, and agents are spreading across every layer -- SaaS, cloud, endpoint. As they multiply, so does the supply-chain surface, and today's guards don't cover it."

"An agent doesn't distinguish between a page and a command," the researchers wrote Thursday. "Everything it reads is input, and every input is a potential instruction. Which means the entire corpus of published data that agents are now wired to consume has silently become an execution surface -- and almost none of it carries the integrity guarantees we apply to actual code."

An anonymous reader shared this report from the blog It's FOSS: Canonical has committed funding to a three-year PhD project focused on building a system that can automatically translate large C codebases into Rust. And they are not alone; UK Research and Innovation is matching their funding for the project, which is set to run through the University of Bristol's Programming Languages Research Group.

The PhD is aiming to build an all-encompassing platform that can take a C repository running into hundreds of thousands of lines and translate it into Rust that's "safe, behaviourally correct and maintainable Rust."

The work will be carried out by a student, Alex Wood, who will be supported by Professor Meng Wang leading the work, with Dr. Cristina David and Canonical's Jon Seager serving as co-supervisors.

"AI went from being very terrible to seemingly genuinely quite good at a professional level in a very short space of time..." says the Verge's AI reporter. But AI systems "are still truly, truly terrible at some areas of math... even the days of the week." If you look at academic math papers, a lot of the time you won't see numbers... So they're still terrible, but they're now also very good at this other part. As to why, at some point you reach a critical mass of what these systems can do. We saw it with writing, we've seen it with programming. They're very good at forging connections between different areas, applying old methods in new ways, those kinds of things. It appears that the newer models they're training have apparently reached that level where it clicks, and now it can do math...

There are areas now where it seems to be producing work that is on par with good mathematicians, alongside other parts where yeah, it can't count. All caught up in that is whether it's going to rewrite employment structures or funding structures... One would hope [math researchers] would branch out into all of these new exciting areas or pose new questions. But AI won't do that, and that's the concern. And then that would leave the field quite sterile, and it will have all of these things that have been done, and maybe nothing left to pursue... [A] lot are scared that it's closing off the field. So by definition, those breakthroughs that lead to something surprising and new that you can say, "Oh, this works here," may not be happening anymore...

There were some bleak responses from graduate students I saw in essays posted online. Where's their place in this as future researchers? Do they have a place in this? Is it as glorified AI proof checkers? That will be quite an unsatisfying career, I imagine. Or maybe not, I don't know. We will see. I think anything used properly will be a net boon.
They also had an interesting response when asked if AI democratizes access to high-level mathematical proofs: A lot of the mathematicians I spoke to were almost quite weary of this, actually. They love the idea, in theory, of democratizing access. They're also quite fed up with AI-generated or -assisted papers that are flooding every publication imaginable, as well as the pre-print servers that they use in these fields. Some of those I spoke to said things like, "Oh, I got three emails this week alone with people being like, 'Hey, is this legit?'" Because they thought they'd solved something with ChatGPT or with Claude, and they also don't have the mathematical skills to check whether they've actually solved something.

On the flip side, there are parts where they said, "Well, we've got a talented undergrad who's done something that a talented undergrad would probably have never managed, and here they are doing grad-level work and they've produced a paper that is legit." And in the bigger scheme of things, a few I spoke to said, "Well yeah, a lot of these are in the ivory tower. Having access to this kind of thing globally could really boost access to the kind of things here." On the flip side, the cost. These things cost a lot to run.

Cursor has launched Origin, a GitHub-style code hosting platform built directly into its AI coding environment. The company is initially positioning Origin as a low-risk layer on top of GitHub, keeping GitHub as the "source of truth," but the launch landed just as a major GitHub outage highlighted growing concerns about reliability in the age of AI-generated code. VentureBeat reports: Cursor began rolling out Origin, its own code hosting platform, to paid users on Monday morning. Roughly three and a half hours later, GitHub's status page lit up with what became a six-hour-and-forty-two-minute global degradation -- error rates near 20% across pull requests, issues and the API, and near 50% on archive and raw file downloads, according to GitHub's incident log. Enterprise single sign-on went down with it: SAML, OIDC, SCIM provisioning and Team Sync all failed. So did Copilot.

The developer internet did what the developer internet does. "You can now host your repos in Cursor Origin and deploy to Vercel via Cursor Origin which is itself hosted on Vercel," Vercel chief executive Guillermo Rauch posted on X. "And unlike GitHub, it's online [smile emoji]" Asked why he was smiling, Rauch replied: "trying to make light of the situation. We ourselves are stuck because of github rn!" Matt Palmer, who works at Cursor, quote-tweeted his own company's launch with the day's best line: "We were going to ship this earlier, but GitHub was down." A GitHub outage, in other words, delayed the launch of a GitHub competitor.

Product launches get locked weeks in advance, and no evidence suggests Cursor timed this one. But the coincidence did the company an enormous favor, because it dramatized the argument Origin exists to make. For eighteen years, choosing where to host your team's source code has been the least interesting decision an engineering organization makes. Cursor is betting that AI agents have made it interesting again -- and for technical decision makers, that is the real news here. Not a new product, but a new procurement question with a governance problem attached.

Disney and ABC are suing the FCC to block an early review of eight station licenses, arguing the Trump administration is using the agency's regulatory power to punish the network over programming and editorial decisions it dislikes. Reuters reports: In a lawsuit (PDF) filed in U.S. District Court in Washington, Disney said the FCC was seeking to coerce and retaliate against "a network that refuses to bow to the administration's demands," calling the agency's actions an "extraordinary assault on free speech."

Trump has waged an aggressive series of attacks on the news media and the latest move follows a two-year-long battle between Trump and Disney. Last month, Trump again called for ABC stations to lose their licenses because the network refused to air a prime-time speech on elections. The court case will pose a key test of the free speech rights of media outlets. Disney and ABC asked the court (PDF) to quickly issue a temporary restraining order halting the license renewal proceedings and preventing the FCC from scheduling a hearing. The company said the public comment period ended earlier this month and the FCC could act at any time.

The lawsuit alleges that the administration is violating the company's First Amendment free speech rights, saying that the FCC "is using its regulatory power to retaliate against (Disney and ABC) for programming and editorial decisions the administration dislikes." The FCC said the move stemmed from a year-long investigation into whether Disney's diversity policies amounted to unlawful discrimination, an allegation the company denies. U.S. District Judge Loren AliKhan issued an order on Tuesday directing the company and the FCC to propose a schedule for considering the request for a temporary restraining order and told the agency to notify her if it moves to start the process of revoking the ABC licenses.

Spotify will begin labeling AI-generated artist identities with "AI Persona" badges and exclude their music from editorial, algorithmic, and personalized recommendations unless users explicitly follow them. The company says the designation applies to whether an artist profile represents a real person, not whether AI was used to make the music, and will allow appeals for mislabeling. TechCrunch reports: While Spotify will allow artists to identify themselves as AI Personas, the company says it won't rely on self-disclosure alone. It will also review artist profiles and identify those where the artist's name and imagery appear to represent photorealistic AI-generated identities. Spotify said it will begin its review with profiles that have met pre-defined audience thresholds to ensure the more listened-to artists are covered first.

Once labeled, the AI Persona badges will appear on the artist's profile in the banner and the About section, in Search, and on track rows across playlists. By default, Spotify won't include AI Personas in its editorial or algorithmic recommendations, nor will it add AI Personas' music to users' personalized recommendations -- unless they happen to follow an AI Persona. Only users can choose to follow an artist, so it's an explicit signal that the user wants to hear more music from that person or group. Spotify wrote in its announcement that, "while we believe all artists have creative choice in determining how they present themselves, Spotify's programming is focused on elevating music from authentic artists building careers in music."

"Although there's a broad spectrum in how artists use AI as a creative tool, the question of whether a profile represents an actual human is one where Spotify can help make a clear determination. This badge is about the artist's public identity, not about how the music was made," the company said.

An anonymous reader quotes a report from Ars Technica: The Federal Communications Commission voted 2-1 today to eliminate the National Television Ownership Rule, claiming authority to repeal a limit that was set by Congress over 20 years ago. The rule prohibits any single broadcast station owner from reaching more than 39 percent of all TV households in the US. Under Chairman Brendan Carr, the FCC is replacing the rule with a "case-by-case review" of each proposed merger.

"This will empower the FCC to approve deals that promote the public interest while allowing the agency to reject any deals that do not meet that standard," Carr's office said in a press release today. Without the 39 percent rule, broadcasters will be better able to compete against streaming companies that don't face similar limits, Carr's office said.

The change, if not stopped by courts, will make it easier for Carr to allow broadcast mergers that result in more favorable news coverage for President Trump. Carr has consistently threatened to revoke licenses from broadcasters who have drawn Trump's ire, including by ordering an early license review of all ABC-owned stations. Carr said local broadcast TV stations are becoming "undifferentiated passthroughs of national programming produced in Hollywood and New York," and he justified repealing the ownership rule by arguing it will help the stations invest in local news. "It's worth noting that Republicans with deep firsthand knowledge of this issue also agree the commission cannot do what it is attempting today," said Democratic FCC Commissioner Anna Gomez, who voted against the decision today. "Former FCC Commissioner Mike O'Rielly has been unequivocal that the FCC lacks authority to change the cap. Former House Majority Leader Tom DeLay, who negotiated the 39 percent compromise, has stressed that Congress intentionally wrote the cap into law to prevent FCC revision. And Senate Commerce Chair Ted Cruz has said he is 'skeptical a change can be made absent an act of Congress.' Their consensus reinforces a simple point: Congress set the cap, and only Congress can change it."

Gomez, in addition to arguing that "Congress deliberately enshrined the cap in statute and removed it from the Commission's review process," said removing the cap will hurt local broadcasters. "Digital giants compete for their most valuable programming and advertising, while consolidation pressures at the national level threaten the local reporting and public-safety functions on which communities rely," Gomez said. "But eliminating the cap does not free local broadcasters from that strain. It just changes who is doing the squeezing. A handful of station-group giants does not represent the wishes of local broadcasters. They are large national companies that own local stations and increasingly dictate what airs on them without much local input. Trading a squeeze from Big Tech for a squeeze from Big Media does nothing to protect the communities this cap was designed to serve."

An anonymous reader quotes a report from TorrentFreak: Mexican broadcaster TelevisaUnivision (TU) has obtained (PDF) one of the broadest anti-piracy injunctions ever issued by a U.S. federal court. After initially targeting five pirate IPTV streaming operations, the case expanded to cover well over 500 domain names, requiring intermediaries including Cloudflare, GitHub, and a Mexican bank to comply. In addition, the injunction also covers pirate services and content that hasn't been created yet. [...] The case was relatively targeted, naming the IPTV services Thunder TV, Sunset TV, Pop TV, Kaelus TV, and Tele Latino, as well as their alleged operators. The broadcaster argued that these pirate IPTV services threatened its business. TU holds the World Cup rights for sixteen Latin American territories, and its license with FIFA requires it to keep the Mexican broadcast signal from reaching the United States. The pirate services, it argued, put it in breach of that contract, exposing it to "termination and forfeiture of hundreds of millions of dollars in payments." To stop this immediate threat, the company requested a temporary restraining order, hoping to shut down the IPTV services effective immediately.

[...] Judge Kathleen Williams granted the temporary restraining order (PDF) on June 5, one day after the case was filed, without hearing from any of the defendants. The initial order prohibited the defendants from infringing TU's own copyrighted works, which include telenovelas and other programming, and from using its trademarks, including all content linked to its licensed World Cup broadcast. Importantly, the order also targeted third parties acting "in active concert," including ISPs, hosts, CDNs, domain registrars, registries, app stores, ad networks, social platforms, search engines, and payment processors. These were ordered, on TU's request and with notice, to disable the listed domains and IP addresses and unmask whoever was behind them. [...]

While the injunction is noteworthy for many reasons, the most striking feature is that it's specifically written to include things that don't yet exist. That starts with the content it protects. The order isn't limited to TU's current catalog or the World Cup rights, it covers the infringement of "any copyrighted works or broadcasts that Plaintiffs may in the future produce, license, or acquire rights to transmit." In other words, it covers future copyrights that did not exist when the order was signed. The same applies to the pirate services themselves. The injunction defines its target as the named IPTV operations "and any comparable system," whether "currently in existence or developed in the future," and it applies "regardless of the branding, domain name, or technical configuration used."

YouTube Premium will include Peacock Premium at no extra charge beginning in early 2027. "The deal brings a slew of premium content to the [$15.99 per month] YouTube Premium subscription, including live sports like the NFL, NBA and MLB and entertainment like Law & Order, Saturday Night Live and Love Island," reports The Hollywood Reporter. "It also has the potential to dramatically scale Peacock, which remains smaller than many of its streaming competitors." From the report: Peacock has 48 million subscribers, while YouTube Premium and YouTube Music have a combined 125 million subscribers, though they don't break out how many each of those offerings have. The agreement, which expands on the deal the company inked with YouTube parent company Google last year, will also extend the entertainment company's programming deal with YouTube TV, while bringing some of YouTube's offerings to Comcast Xfinity and Xumo platforms.

There's also a notable sports and production element to the deal, with NBC Sports agreeing to stream some live sporting events on its YouTube channels, and with NBC agreeing to serve as the production partner for select live events on YouTube. YouTube will also bundle some of the company's International streaming offerings like Universal+ and Hayu in select markets.

ZDNet reports on June's Open Source Summit India 2026 in Mumbai, where Linux stable kernel maintainer Greg Kroah-Hartman gave a talk titled "Rust and Linux: How the Rust Language is Going to Help Linux Succeed." Kroah-Hartman said in his keynote that "the [Linux] kernel is moving toward Rust. Git is moving toward Rust. Lots of projects are starting to move toward Rust."

He didn't always feel that way. Kroah-Hartman added, "A number of years ago, when a friend of mine said, 'Ah, you got to try this new language. It's called Rust.' I was like, 'What? No, C is great.' His friend continued, "'No, no, no! It makes programming fun again.' I'm like, 'Nah, programming is fun in C.' He was right. I should have done it then. Rust is actually fun. It makes programming fun. It takes a lot of stuff away from having to worry about the compiler, which can fix a lot of your problems for you, and it makes code a little bit better."

So, Kroah-Hartman has moved from being a Rust skeptic to one of its strongest champions inside the kernel. He now regards Rust as a permanent part of Linux, not an experiment. His case is straightforward: Rust's ownership and type system can eliminate most of the "stupid little tiny things" that dominate kernel Common Vulnerabilities and Exposures (CVEs), while making life easier for overworked maintainers. "Rust," in short, "makes my life so much easier...." In India, he said Linux sees "about 13 CVEs a day" and has been running at "almost nine changes an hour" for a decade or more. Most of those vulnerabilities, he argued, are not exotic attacks but simple C mistakes — unchecked pointers, forgotten unlocks, and sloppy cleanup paths: "This is what we're fixing 13 times a day. Small, trivial, little bugs like this all the time.... I've seen every CVE the kernel has done in the past 25 years. I think 80% would be gone, just because they would be caught by Rust." The remaining 20% are the logic bugs he'd prefer to focus on...."

Moreover, Rust is becoming the default for new work in key subsystems. "New drivers for some subsystems are only going to be accepted in Rust...." he said. Binder, the Android IPC mechanism at the heart of billions of devices, now has parallel C and Rust implementations in the kernel. The C version "will go away soon," leaving the Rust version "as the bedrock of all Android devices going forward."