The Valve release includes files for the external shell (“surface topology”) of the Controller and Puck, with a .STP, .STL and engineering diagram of each device, with the latter showing areas that must remain uncovered to let the device maintain its signal strength and otherwise function as designed. Valve has previously released CAD files for its Steam Deck handheld, Valve Index VR suite and even the original Steam Controller a decade ago, so this release is welcomed but not unexpected.

The release is under a fairly restrictive Creative Commons license which allows for non-commercial use and requires attribution and sharing of designs back to the community. However, the license also suggests that commercial entities interested in making accessories for the Steam Controller or its Puck can contact Valve directly to discuss terms.

At its Code with Claude developers’ conference, Anthropic has introduced what it calls “dreaming” to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in “memory" to inform future tasks and interactions. Dreaming is a feature that is currently in research preview and limited to Managed Agents on the Claude Platform. Managed Agents are a higher-level alternative to building directly on the Messages API that Anthropic describes as a “pre-built, configurable agent harness that runs in managed infrastructure.” It’s intended for situations where you want multiple agents working on a task or project to some end point over several minutes or hours.

Anthropic describes dreaming as a scheduled process, in which sessions and memory stores are reviewed, and specific memories are curated. This is important because context windows are limited for LLMs, and important information can be lost over lengthy projects. On the chat side of things, many models use a process called compaction, whereby lengthy conversations are periodically analyzed, and the models attempt to remove irrelevant information from the context window while keeping what’s actually important for the ongoing conversation, project, or task. However, that process, as I described it, is usually limited to a specific conversation with a single agent. “Dreaming” is a periodically recurring process in which past sessions and memory stores can be analyzed across agents, and important patterns are identified and saved to memory for the future. Users will be able to choose between an automatic process, or reviewing changes to memory directly.

Developers of ReactOS told Phoronix that the project has introduced a unified BootCD, replacing its previously separate installation media and LiveCD images. The new image combines the traditional text-mode installer with a LiveCD mode in a single medium. Within this unified BootCD, the updated LiveCD mode now includes an option to launch a first-stage GUI installer. The graphical interface is intended to make installation more approachable for new users compared to the long-standing text-based setup process.

In a separate development, the project has also merged a new ATA storage driver that has been in progress since early 2024. The plug-and-play aware storage stack supports SATA, PATA, ATAPI, AHCI, and even SCSI devices, potentially expanding the range of hardware on which ReactOS can successfully boot.

Following recent improvements to graphics driver support, the project continues to make incremental progress across core subsystems, though its long development timeline remains a point of discussion. Will these usability and hardware compatibility improvements be enough to broaden ReactOS adoption beyond its current niche?

Please note that all new features are not present in version 0.4.15 and are available for testing in the latest nightly test builds.

“In their effort to win the AI ‘arms race’ and build a functional generative AI model, Defendants Meta and Zuckerberg followed their well-known motto: ‘move fast and break things,’" the plaintiffs say in their lawsuit. “They first illegally torrented millions of copyrighted books and journal articles from notorious pirate sites and downloaded unauthorized web scrapes of virtually the entire internet. They then copied those stolen fruits many times over to train Meta’s multibillion-dollar generative AI system called Llama. In doing so, Defendants engaged in one of the most massive infringements of copyrighted materials in history.”

The suit was filed Tuesday (May 5) in the U.S. District Court for the Southern District of New York by five publishers (Hachette, Macmillan, McGraw Hill, Elsevier and Cengage) and Turow individually. The proposed class-action suit seeks unspecific monetary damages for the alleged copyright infringement. A copy of the lawsuit is available at this link (PDF). […] the latest lawsuit alleges that Meta and Zuckerberg deliberately circumvented copyright-protection mechanisms — and had considered paying to license the works before abandoning that strategy at “Zuckerberg’s personal instruction.” The suit essentially argues that the conduct described falls outside protections afforded by fair-use provisions of the U.S. copyright code.

Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millions of dollars on deploying AI data centers powered by waves in the middle of the world’s oceans — a move that coincides with tech companies facing mounting challenges in building AI data center projects on land. The latest investment round of $140 million is intended to help the company Panthalassa complete a pilot manufacturing facility near Portland, Oregon, and speed up deployments of wave-riding “nodes” designed to generate electrical power, according to a May 4 press release. Instead of sending renewable energy to a land-based data center, the floating nodes would directly power onboard AI chips and transmit inference tokens representing the AI models’ outputs to customers worldwide via satellite link.

Each node resembles a huge steel sphere bobbing on the water with a tube-like structure extending vertically down beneath the surface. The wave motions drive water upward through the tube into a pressurized reservoir, where it can be released to spin a turbine generator that produces renewable energy for the AI chips on board. Panthalassa claims the node’s AI chips would also get cooled using the surrounding water, which could offer another advantage over traditional data centers. “Ocean-based compute might offer a massive cooling advantage because the ambient temperature is so low,” Lee said. “Land-based data centers use a lot of electricity and fresh water for cooling.”

The newest node prototype, called Ocean-3, is scheduled for testing in the northern Pacific Ocean later in 2026. The latest version reaches about 85 meters in length and would stand nearly as tall as London’s Big Ben or New York City’s Flatiron Building, according to the Financial Times. Panthalassa has already tested several earlier prototypes of the wave energy converter technology, including the Ocean-1 in 2021 and the Ocean-2 that underwent a three-week sea trial off the coast of Washington state in February 2024. The company’s CEO and co-founder, Garth Sheldon-Coulson, said in a CBS interview that he hopes to eventually deploy thousands of the nodes.

Xbox needs to move faster, deepen our connection with the community, and address friction for both players and developers. Today, we promoted leaders who helped build Xbox, while also bringing in new voices to help push us forward. This balance is important as we get the business back on track. As part of this shift, you’ll see us begin to retire features that don’t align with where we’re headed. We will begin winding down Copilot on mobile and will stop development of Copilot on console.

From a hidden GPS tracker polling your location every 4.5 minutes to JavaScript loaded from a random GitHub account, no SSL certificate pinning, and an in-app browser that silently strips cookie consent dialogs and paywalls from every page you visit, the new White House app seems to have a little bit of everything.

To start, the app has a full GPS tracking pipeline compiled in. Essentially, it’s set to poll your location every 4.5 minutes in the foreground, and 9.5 minutes in the background. It’s syncing latitude, longitude, accuracy, and timestamp data to OneSignal’s servers. These location permissions aren’t declared in the AndroidManifest, but they are hardcoded as runtime requests in the OneSignal SDK. Some have noted that the tracking only kicks in if the developer enables it server-side and the user grants permission, but it is there, ready to go.

And it gets even stranger. Apparently, the app is loading JavaScript from a random person’s GitHub site for YouTube embeds. Yes, you read that right, it’s just loading JavaScript from a random GitHub site. So if that account ever gets compromised, arbitrary code could run inside the app’s WebView. There’s also no SSL certificate pinning, meaning that traffic can potentially be intercepted on compromised networks like sketchy public WiFi or corporate proxies. The app also injects JavaScript and CSS into every page you visit in the in-app browser. This strips away cookie consent dialogs, GDPR banners, login walls, and paywalls. There’s also leftover dev artifacts in the production build, including a localhost URL to the Metro bundler.

Greenhouse gases, such as carbon dioxide, are measured as a proportion of the total atmosphere. The numbers are presented as the number of molecules of a particular gas out of a million total molecules, or ppm. Climate scientist Zachary Labe of Climate Central, a nonprofit that researches climate change, says the new record is “depressing” but not unexpected. “It’s just another sign that carbon dioxide continues to increase in our atmosphere as our planet continues to warm,” he says. “For many climate scientists, this is just ‘here it is again, another record in the wrong direction.’"

Labe explains that the amount of CO2 in the atmosphere tends to peak in April each year as decaying plants release greenhouse gases after winter. Some of that CO2 gets reabsorbed by plants as they grow during the warmer months. But NOAA’s data show a worrying trend, with the average monthly amount of CO2 steadily increasing. […] Although the amount of CO2 in the atmosphere has continued to rise, there was a reduction in U.S. emissions in 2023 and 2024. That trend, however, was reversed in 2025, at least partially because of the increased electricity demand from artificial intelligence data centers. Still, Labe says there are reasons for optimism as the use of renewable energy sources such as solar and wind expands.

OpenAI President Greg Brockman concluded his testimony on Tuesday, where he largely rebutted Elon Musk’s account of the early years of the startup and negotiations that occurred at the company. Brockman testified that he never made any commitments to Musk about the company’s corporate structure, and he never heard anyone else make them. He emphasized that OpenAI is still governed by a nonprofit. “This entity remains a nonprofit,” Brockman said, referring to the OpenAI foundation. “It is the best-resourced nonprofit in the world.” […] Brockman, who spoke from the witness stand in federal court in Oakland, California, over the course of two days, also revealed that Musk had enlisted several OpenAI employees to do months of free work for him at Tesla, Musk’s electric vehicle company. That work mainly included efforts to overhaul the company’s approach to developing self-driving technology as part of the Autopilot team there in 2017. During his two days on the stand, Brockman answered questions about his personal financial ambitions, his understanding of OpenAI’s structure and Musk’s involvement at the company, which they co-founded with other executives in 2015.

In Musk’s testimony last week, the Tesla and SpaceX CEO said that the time, money and resources he poured into OpenAI had been integral to the company’s success. He repeatedly said that he helped recruit the company’s top talent. Brockman said Tuesday that while Musk was helpful in convincing some employees to take the leap to join OpenAI, he was a polarizing figure for others. “Elon had a reputation of being an extremely hard driver,” Brockman said. He added that “certain candidates were very attracted” by Musk’s involvement at OpenAI, and that “certain candidates were very turned off.” Musk testified last week that a former OpenAI researcher named Andrej Karpathy joined Tesla, but only after he had planned to leave the startup already. Brockman said that Musk, after he hired Karpathy, approached him with “an apology and a confession,” about the hire, and that neither Musk nor Karpathy had told him the researcher planned to leave OpenAI before that. Musk was generally not very available for meetings and conversations, Brockman said, so he relied on employees, including Sam Teller and former OpenAI board member Shivon Zilis, as proxies.

The settlement will resolve a 2025 lawsuit, alleging Apple’s advertisements created a “clear and reasonable consumer expectation” that Apple Intelligence features would be available with the launch of the iPhone 16. The lawsuit claimed Apple’s products “offered a significantly limited or entirely absent version of Apple Intelligence, misleading consumers about its actual utility and performance.”

Apple brought certain AI-powered features to the iPhone 16 weeks after its release, and delayed the launch of its more personalized Siri, which is now expected to arrive later this year. Last April, the National Advertising Division recommended that Apple “discontinue or modify” its “available now” claim for Apple Intelligence. Apple also pulled an iPhone 16 ad showing actor Bella Ramsey using the AI-upgraded Siri.

Armstrong claimed he’d seen engineers “use AI to ship in days what used to take a team weeks” and that non-technical teams in the company are “shipping production code,” while Coinbase is automating many of its workflows. “All of this has led us to an inflection point, not just for Coinbase, but for every company,” Armstrong wrote. “The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core.”

An AI-driven restructuring is only one half of the equation for Coinbase, though. Armstrong wrote that while the company “is well-capitalized, has diversified revenue streams and is well-positioned to weather any storm,” the crypto market is down. As such, Coinbase is attempting to become leaner and faster ahead of the next crypto cycle. The company is eliminating some management layers and organizing the business around “AI-native talent who can manage fleets of agents to drive outsized impact,” Armstrong wrote. “We’ll also be experimenting with reduced pod sizes, including ‘one person teams’ with engineers, designers and product managers all in one role.” That sure sounds like an attempt to get workers to take on more responsibilities.

Employees at Google DeepMind in London have voted to unionize as part of a bid to block the AI lab from providing its technology to the US and Israeli militaries. In a letter addressed to Google’s managing director for the UK and Ireland, Debbie Weinstein, the workers asked the company to recognize the Communication Workers Union and Unite the Union as joint representatives for DeepMind employees. “Fundamentally, the push for unionization is about holding Google to its own ethical standards on AI, how they monetize it, what the products do, and who they work with,” John Chadfield, national officer for technology at the CWU, tells WIRED. “Through the process of unionization, workers are collectively in a much stronger place to put [demands] to an increasingly deaf management.”

[…] The DeepMind employee tells WIRED that if the staff succeeds in unionizing in the UK, they will likely demand that Google pulls out of its long-standing contract with the Israeli military, and seek greater transparency over how its AI products will be used, and some sort of assurance relating to layoffs made possible by automation. If Google does not engage, the letter states, the employees will ask an arbitration committee to compel the company to recognize the unions. Since the turn of the year, both Anthropic and OpenAI have announced large-scale expansions of their operations in London. CWU hopes the unionization effort at DeepMind will spur workers at those labs into similar action. “These conversations are happening,” claims Chadfield. “The workers at other frontier labs have seen what Google DeepMind workers have done. They’ve come to us asking for help as well.”

Speaking to The Register to discuss the analyst firm’s mid-April publication, “The State of the IBM Mainframe in 2026,” [Gartner Vice President Analyst Alessandro Galimberti] said some buyers in many fields are comparing mainframes to modern environments and deciding Big Blue’s big iron comes out ahead. “I can build a multi-region cloud application, but things like data synchronization and high availability are things I need to build into application logic,” he said. “The mainframe has that in the platform, which shields developers from complexity.” He also thinks mainframes are ideally suited to workloads that need many years of transactional consistency and backward-compatibility.

That said, Galimberti doesn’t recommend the mainframe for all applications. He said mission-critical applications that are unlikely to change much for a decade are best-suited to the machines, as are Linux applications because the open source OS runs on IBM’s hardware. IBM also offers the z/VM hypervisor, which he says can make Linux “even better and more enterprise-ready.” Which is why Galimberti thinks IBM’s ecosystem is attractive to VMware users, especially those who operate a fleet of 500 to 700 Linux VMs. […]

Committing to mainframes therefore means planning “to spend time negotiating price and renewal protections, rather than prioritizing the business value these solutions can deliver.” Another downside is that mainframes pose clear lock-in risk, so users may hold back on useful customizations out of fear they make it harder to extricate themselves from the platform. Access to skills remains an issue, too, as kids these days mostly don’t contemplate a career working with big iron. Galimberti sees more service providers investing in their mainframe programs, which might help. So does the availability of Linux.

The group surveyed over 1,000 UK children and their parents, and while it did report some positive effects from changes made under the OSA, many children saw age verification as an easy-to-bypass hurdle rather than something that kept them genuinely safe. A full 46 percent of children even said that age checks were easy to bypass, while just 17 percent said that they were difficult to fool. The methods kids use to fool age gates vary, but most are pretty simple: There’s the classic use of a video game character to fool video selfie systems, while in other instances, children reported just entering a fake birthday or using someone else’s ID card when that was required.

The report even cites cases of children drawing a mustache on their faces to fool age detection filters. Seriously. While nearly half of UK kids say it’s easy to bypass online age checks (and another 17 percent say it’s neither hard nor easy), only 32 percent say they’ve actually bypassed them, according to Internet Matters. Like scoring some booze from “cool” parents, keeping age-gated content out of the hands of kids under the OSA is only as effective as parents let it be, and a quarter of them enable their kids’ online delinquency. More specifically, Internet Matters found that a full 17 percent of parents admitted to actively helping their kids evade age checks, while an additional 9 percent simply turned a blind eye to it.