"I love these machines," writes long-time Slashdot reader Shayde: I was super-active in the Unix-PC Usenet groups back in the 90s... We hacked the hell out of them. They were small, sexy, and... they ran Unix!

Unfortunately, they were a commercial failure. There were so many things wrong with them — not just stuff that broke, but the baseline configuration was nigh on worthless. I recently was able to get another machine and got it up and running (with a few hiccups). I whipped up a video showing all the cool things it can do, but also running through what went wrong and why it ultimately failed.
The video shows the ancient green-on-black screen of 1984's AT&T Unix PC (with the OS running on a silicon drive emulation). The original machine had 512K of memory and a 10-megabyte hard drive described as slow, failure-prone, and noisy. There's also a drive for inserting floppy disks, and a separate MS-DOS board (with its own CPU) that could be plugged into the expansion slot — but the device was "remarkably heavy," weighing in aqt 40 pounds

See the strange 1984 mouse, and its keyboard with both a Return key and a separate Enter key. There's even plug-in ports for phone landlines. "It looked great," Shayde says in the video, showing off its Spirograph demo and '80s-era games like Pong, Conway's Game of Life, GNU Chess, "Trk", and NetHack. But besides slow startup times, it was expensive — in today's dollars, it would've cost roughly $15,000 — and suffered from Unix's lack of spreadsheets, word processing software and other office productivity tools at the time. At that price the Unix PCs couldn't compete with IBM's home computers and their desktop applications. "It just didn't have the resources, the software, the capabilities and the price point that made it attractive."

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.

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.

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."

BMW's latest concept car moves the color-changing tech it debuted back at CES 2022 closer to reality by embedding an E Ink panel directly into the hood. The Verge reports: BMW's previous concepts wrapped the entire vehicle in a patchwork of E Ink panels that were all custom-sized and shaped to match its contours. It was an approach that wasn't practical for mass production, and one that wasn't very durable. The new BMW iX3 Flow Edition is potentially the most exciting of all of BMW's concepts as it embeds the E Ink Prism technology directly into the structure of the vehicle's hood panel, instead of just slapping it on top. The new approach has "undergone BMW's stringent quality testing" so that it meets the "requirements of automotive engineering and everyday use," according to a release from E Ink.

The BMW iX3 Flow Edition's color-changing capabilities are limited to its hood with eight different animations (which appear restricted to a grayscale palette) that can be changed by the driver at the push of a button. It's not exactly the color-changing car that BMW has been teasing for years and you still can't buy one, but by focusing on making this technology more practical and functional these vehicles are one step closer to moving past the concept phase.

A report says Samsung's mobile division could post its first-ever annual loss in 2026, as rising memory costs, tougher competition, and pressure across products like foldables and smartwatches weigh on the business. SammyGuru reports: Samsung boss TM Roh reportedly told company leaders that the mobile (MX) business could lose money this year. That warning has clearly rattled management. The MX unit has long been a key pillar for Samsung. That's why the idea of it slipping into the red is a serious concern for the company's overall performance.

If this prediction holds, it would mark the first time the MX business reports a yearly loss since its inception. That's a sharp turn from its track record so far. It also raises bigger questions about future growth, rising competition, and how Samsung plans to steady the ship in its mobile division.

And it's not like the challenges are easing up. Samsung's foldable market share in the US, where it currently enjoys a dominant position, doesn't look as solid as before, and Apple could shake things up if it enters the segment. On top of that, market reports suggest Samsung's overall smartwatch share could dip in 2026. The Galaxy S26 series seems to be selling well for now, but whether that's enough to move the needle is still up in the air.

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.

Norway plans to ban social media access for children under 16 (source paywalled; alternative source), "joining a growing number of countries responding to concerns about the potential harm kids face online," reports Bloomberg. From the report: The bill comes after "overwhelming" demand from the public, the government said Friday. It plans to bring the legislation to parliament before the end of the year. The limit will apply up until January 1 the year a child turns 16 with technology companies responsible for age verification, the government said. "We want a childhood where children get to be children," Prime Minister Jonas Gahr Store said in the statement. "Play, friendships, and everyday life must not be taken over by algorithms and screens." "Children cannot be left with the responsibility for staying away from platforms they are not allowed to use," Karianne Tung, Norway's minister of digitalization, said in the statement. "That responsibility rests with the companies providing these services."

Recent Slashdot coverage of countries instituting or proposing social media bans has included Australia, France, Austria, Indonesia, and Denmark.

Anthropic is expanding Claude's app integrations beyond work tools, adding personal-service connectors like Spotify, Uber, AllTrails, TripAdvisor, Instacart, and TurboTax. The Verge reports: Some of these apps, such as Spotify, already have similar connectors in OpenAI's ChatGPT. Once an app is connected, Claude will suggest relevant connected apps directly in your conversations, like using AllTrails for hike recommendations. Anthropic notes in its blog post announcing the new connectors that, "Your data from [connected apps] isn't used to train our models, and the app doesn't see your other conversations with Claude. You can also disconnect it at any time."

Additionally, Anthropic says "there are no paid placements or sponsored answers in conversations with Claude." When multiple apps seem relevant, Claude will show results from both "ranked by what's most useful." Claude will also ask users to verify before taking actions like making a purchase or reservation using a connected app.

Meta is reportedly cutting about 10% of its workforce, or roughly 8,000 jobs, while closing thousands of open roles it had intended to fill. "We're doing this as part of our continued effort to run the company more efficiently and to allow us to offset the other investments we're making," said Janelle Gale, Meta's chief people officer. The company had almost 79,000 employees at the start of the year. Quartz reports: Meta CEO Mark Zuckerberg has poured resources into building out AI capabilities, directing spending toward model development, chatbot products, and the engineering talent to support them. Meta set its 2026 capital expenditure guidance at $115 billion to $135 billion, almost double the $72 billion it spent in 2025. Employees have been encouraged to use AI agents internally for tasks such as writing code.

The early disclosure, Gale explained, was prompted by the fact that information about the cuts had already made its way into press reports before the company was ready to announce. "I know this is unwelcome news and confirming this puts everyone in an uneasy state, but we feel this is the best path forward, given the circumstances," she wrote.

According to the memo, severance for affected workers in the United States will cover 18 months of COBRA health insurance premiums, along with a base pay component of 16 weeks that increases by two weeks for each year of service. Departing employees will have access to job placement assistance and, where applicable, help navigating immigration status. Packages outside the U.S. will vary by country. Meta cut between 10% and 15% of its Reality Labs workforce in January, shut down several VR game studios, and shed about 700 positions across at least five divisions in March.

In a recent town hall meeting reported by Bloomberg (paywalled), Apple CEO Tim Cook named the troubled 2012 launch of Apple Maps as his "first really big mistake" in the role. "The product wasn't ready, and we thought it was because we were testing more of local kind of stuff," Cook told staff. MacRumors reports: Reflecting on the debacle, Cook said it was "valuable," noting that he expressed regret to users at the time and suggested they use competing navigation apps instead.

"We apologized for it, and we said, 'Go use these other apps. They're better than ours.' And that was some humble pie," Cook said. "But it was the right thing for our users. And so it's an example of keeping the user at the center of the decisions that we made." Cook added: "Now we've got the best map app on the planet. We learned about persistence, and we did exactly the right thing having made the mistake."

An anonymous reader quotes a report from Reuters: Tesla CEO Elon Musk said on Wednesday the EV maker plans to use Intel's next-generation 14A manufacturing process to make chips at its Terafab project, an advanced AI chip complex Musk has envisioned in Austin. The contract would mark Intel's first major customer for the technology, a breakthrough for the chipmaker which has struggled to stand up its contract manufacturing business essential for taking on top rival TSMC. Intel CEO Lip Bu Tan has said that the company would exit the chip manufacturing business altogether if it failed to secure an external customer.

Intel has previously said it was in discussions with large customers about 14A, but has not yet disclosed a major external customer. It declined to comment on Musk's remarks. [...] "Given that by the time Terafab scales up, 14A will be probably fairly mature or ready for prime time," Musk said. "14A seems like the right move, and we have a great relationship with Intel," he said. Ben Bajarin, head of technology consultancy Creative Strategies, said that Intel's 14A technology could "turn out to be a bigger deal for Intel than folks thought." "It's important to have multiple partners as early design partners to help clean the pipe and work through needed learnings at the leading edge. They will definitely have scale, so a great first non-Intel customer," Bajarin said.

Seaport Research Partners analyst Jay Goldberg said Musk's vote of confidence in Intel's technology outweighed the unknowns about the Terafab project. "Having a customer is more important than the timing," he said. Goldberg said that Musk's lofty estimates of how many chips its robots could one day require may or may not materialize, but even making chips for Tesla's existing businesses would be a significant win for Intel. "It's not equivalent to Apple or Nvidia" in terms of chip volumes, Goldberg said. "But it's a real customer. It can be real volumes."

alternative_right writes: A new technology has been proposed that could fundamentally solve the issue of smartphones overheating during high-spec gaming or extended video streaming. Researchers at KAIST have discovered the principle of processing signals using the minute vibrations of magnets (spin waves) instead of electrons. This method significantly reduces heat generation and power consumption while enabling instantaneous frequency switching within the several GHz range. This breakthrough is expected to pave the way for smart devices with less heat and longer battery life, as well as ultra-low-power, high-speed computing. Professor Kab-Jin Kim from the Department of Physics said: "This study is a case that proves we can implement and control the nonlinear dynamics of magnons -- the principle of information processing using magnetic vibrations -- in actual nano-devices, which had previously only been proposed in theory. It will serve as an important foundation for the development of a new information processing paradigm using spin waves instead of electrons."

The findings have been published in the journal Nature Communications.

Longtime Slashdot reader mmarlett writes: The Atlantic has a long article on the story of missing scientists recently featured here on Slashdot. In short, it is an incoherent conspiracy theory that spreads wide and far, not paying any attention to boundaries of time, space, or area of expertise. "Which is all to say that another piece of flagrant nonsense has ascended to the highest levels of U.S. politics and media," writes the Atlantic's Daniel Engber. "To call it a conspiracy theory would be far too kind, because no comprehensive theory has been floated to explain the pattern of events. But then, even the phrase pattern of events is imprecise, because there is no pattern here at all. Given all the people who could have been roped into this narrative but weren't, any hope of finding meaning falls away. Barring any dramatic new disclosures, the mystery of the missing scientists has the dubious honor of being a sham in every way at once."

Google announced two new tensor processing units (TPUs) for the "agentic era," with separate processors dedicated to training and inference. "With the rise of AI agents, we determined the community would benefit from chips individually specialized to the needs of training and serving," Amin Vahdat, a Google senior vice president and chief technologist for AI and infrastructure, said in a blog post. Both chips will become available later this year. CNBC reports: After years of producing chips that can both train artificial intelligence models and handle inference work, Google is separating those tasks into distinct processors, its latest effort to take on Nvidia in AI hardware. [...] None of the tech giants are displacing Nvidia, and Google isn't even comparing the performance of its new chips with those from the AI chip leader. Google did say the training chip enables 2.8 times the performance of the seventh-generation Ironwood TPU, announced in November, for the same price, while performance is 80% better for the inference processor.

Nvidia said its upcoming Groq 3 LPU hardware will draw on large quantities of static random-access memory, or SRAM, which is used by Cerebras, an AI chipmaker that filed to go public earlier this month. Google's new inference chip, dubbed TPU 8i, also relies on SRAM. Each chip contains 384 megabytes of SRAM, triple the amount in Ironwood. The architecture is designed "to deliver the massive throughput and low latency needed to concurrently run millions of agents cost-effectively," Sundar Pichai, CEO of Google parent Alphabet, wrote in a blog post.

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design.

It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work.

This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects.

Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

An anonymous reader quotes a report from Ars Technica: The US military's massive $1.5 trillion budget request for the next fiscal year includes what Pentagon officials described as the largest investment in drone warfare and counter-drone technology in US history. The proposed spending on drone and autonomous warfare technologies within the FY2027 budget proposal for the US Department of Defense would surpass most countries' defense budgets and rank among the top 10 in the world for military spending, ahead of countries such as Ukraine, South Korea, and Israel.

Specifically, the Pentagon is requesting $53.6 billion to boost US production and procurement of drones, train drone operators, build out a logistics network for sustaining drone deployments, and expand counter-drone systems to defend more US military sites. The funding request is budgeted under the Defense Autonomous Warfare Group (DAWG), an organization established in late 2025 that would see a massive budget increase after receiving about $226 million in the 2026 fiscal year budget.

[...] Another $20.6 billion would help purchase one-way attack drones and drone aircraft developed through the US Air Force's Collaborative Combat Aircraft program, which is building drone prototypes capable of teaming up with human-piloted fighter jets. Part of this funding would also go toward defensive systems for countering small drones and the US Navy's Boeing MQ-25 drone designed to perform midair refueling of carrier-borne fighter aircraft to extend their strike ranges. Such drone-related spending even rivals the entire budget of the US Marine Corps. But the Pentagon has not said that it is creating a dedicated drone branch of the US military similar to the standalone Space Force.

Pentagon officials emphasized that most of the money would go toward procuring drone and autonomous warfare technologies that already exist, and is largely separate from additional funding that would bolster US domestic manufacturing capacity to build such weapon systems. "That $70 billion is all going into existing systems and technologies," said Hurst. "The industrial base support is entirely separate." "The evolution we've seen in the battlefield is this evolution of technologies in the timeframe of weeks, not the typical years we see with our defense production," said Lt. Gen. Steven Whitney, director of force structure, resources, and assessment for the Pentagon's Joint Chiefs of Staff, during a Pentagon press briefing. "So it's really critical we work with industry to get that capability fielded."

BrianFagioli writes: Mozilla says it used an early version of Anthropic's Claude Mythos Preview to comb through Firefox's code, and the results were hard to ignore. In Firefox 150, the team fixed 271 vulnerabilities identified during this effort, a number that would have been unthinkable not long ago. Instead of relying only on fuzzing tools or human review, the AI was able to reason through code and surface issues that typically require highly specialized expertise.

The bigger implication is less about one release and more about where this is heading. Security has long favored attackers, since they only need to find a single flaw while defenders have to protect everything. If AI can scale vulnerability discovery for defenders, that dynamic could start to shift. It does not mean zero days disappear overnight, but it suggests a future where bugs are found and fixed faster than attackers can weaponize them. "Computers were completely incapable of doing this a few months ago, and now they excel at it," says Mozilla in a blog post. "We have many years of experience picking apart the work of the world's best security researchers, and Mythos Preview is every bit as capable. So far we've found no category or complexity of vulnerability that humans can find that this model can't."

The company concluded: "The defects are finite, and we are entering a world where we can finally find them all."

An anonymous reader quotes a report from Ars Technica: Framework has been selling and shipping its modular, repairable, upgradable Laptop 13 for five years now, and in that time, it has released six distinct versions of its system board, each using fresh versions of Intel and AMD processors (seven versions, if you count this RISC-V one). The laptop around those components has gradually gotten better, too. Over the years, Framework has added higher-resolution screens in both matte and glossy finishes, a slightly larger battery, and other tweaked components that refine the original design. But so far, all of those parts have been totally interchangeable, and the fundamentals of the Laptop 13 design haven't changed much.

That changes today with the Framework Laptop 13 Pro, which, despite its name, is less an offshoot of the original Laptop 13 and closer to a ground-up redesign. It includes new Core Ultra Series 3 chips (codenamed Panther Lake), Framework's first touchscreen, a new black aluminum color option, a larger battery, and other significant changes. And while it sacrifices some component compatibility with the original Laptop 13, displays and motherboards remain interchangeable, so Framework Laptop owners can buy the new Core Ultra board and owners of older Framework Laptop boards can pop one into a Pro to benefit from the new battery and screen. At 1.4kg (about 3 pounds), the Laptop 13 Pro is slightly heavier than the Laptop 13's 1.3kg, but it still stacks up well against the 14-inch M5 MacBook Pro (1.55kg, or 3.4 pounds).

The Framework Laptop Pro will start at $1,199 for a DIY edition with a Core Ultra 5 325 processor, and no RAM, SSD, or operating system. A prebuilt version with Ubuntu Linux installed will start at $1,499, and Windows 11 will cost another $100 on top of that. A Core Ultra X7 358H version starts at $1,599 for a DIY edition, and a "limited batch" Core Ultra X9 388H version starts at $1,799. A bare motherboard with the Core Ultra 5 325 starts at $449, while a Core Ultra X7 358H board will cost $799. Pre-orders are available now, and begin shipping in June.

Reuters reports that Meta plans to start collecting U.S.-based employees' mouse movements, clicks, keystrokes, and occasional screen snapshots to train AI agents that can better learn how humans use computers. The tool, called Model Capability Initiative (MCI), will reportedly "not be used for performance assessments or any other purpose besides model training and that safeguards were in place to protect 'sensitive content.'" From the report: Meta CTO Andrew Bosworth told employees in a separate memo shared on Monday that the company would step up internal data collection as part of those "AI for Work" efforts, now re-branded as Agent Transformation Accelerator (ATA). "The vision we are building towards is one where our agents primarily do the work and our role is to direct, review and help them improve," Bosworth said. The aim, he added, was for agents to "automatically see where we felt the need to intervene so they can be better next time." Bosworth did not explicitly spell out how those agents would be trained, but said Meta would be "rigorous" about "building up data and evals for all the types of interactions we have as we go about our work."

Meta spokesperson Andy Stone acknowledged that the MCI data would be among the inputs. [...] "If we're building agents to help people complete everyday tasks using computers, our models need real examples of how people "actually use them -- things like mouse movements, clicking buttons, and navigating dropdown menus," said Stone.