An anonymous reader quotes a report from Ars Technica: Rendering Doom in a database is obviously a bad idea," Lukas Vogel writes in a lengthy blog post explaining how exactly he managed to render Doom using an SQL database. OK, that's not entirely accurate. The SQLDoom project uses a small Python client to handle input and output, drive the game's timing, and display each frame to the screen. Behind that, a series of CedarDB tables tracks the game geometry and state, while about 1,300 lines of SQL queries spread across 89 common table expressions implement the game logic and generate 35 bitmap framebuffers per second.

In this, SQLDoom is a major improvement over Vogel's previous DoomQL project, which last year set out to build "a multiplayer Doom-like shooter entirely in SQL." Unfortunately, that effort ended up with raycasting-based, grayscale ASCII graphics that were more akin to the simplistic 90-degree-angled maps of Wolfenstein 3D. The newer SQLDoom, on the other hand, generates full-color 640x480 frames that look like they could have come from the original Doom executable. [...] If you want to run a Doomtabase on your own local machine, you can do so simply with the GitHub code, a copy of CedarDB, and a Doom WAD file. Or you can jump into a free online hosted demo match to test it out without all the setup [...].

Researchers from Carnegie Mellon, MIT, NYU, and Stanford have built an AI called Ataraxos that finally cracked Stratego, beating four-time world champion Pim Niemeijer 15 games to one with four draws. Its key advantage was a second neural network that estimates the identities of hidden enemy pieces, letting the system search plausible game states rather than brute-force a massive hidden-information space. Ars Technica reports: Just like [DeepMind's DeepNash, introduced in 2022], Ataraxos learned by playing against itself -- 163 million games in total. In these self-play sessions, moves that led to wins were reinforced and played more often in future matches, while moves that led to losses were played less, which was the same simple training idea. The difference was in how much Ataraxos adjusted after each game, because hidden information tends to send self-play learning algorithms around in circles. The team addressed this by making big, bold changes in strategy early in training and small, careful ones later.

The even bigger innovation was something DeepNash never had: thinking ahead before each move. AIs like AlphaGo refine their general strategy with a search just before acting. DeepMind couldn't make that work in Stratego because the search space was too large, leaving it an open question whether it was worth trying. "This is one of the things that we did figure out how to do," Farina said. The solution was a second neural network, a belief model, trained to guess the opponent's hidden pieces based on how they had been moving. This way, instead of iterating through every possible arrangement, Ataraxos samples plausible ones, plays out candidate moves in each, and picks based on how they turned out. And it shows in its playstyle.

[...] DeepNash was trained for two to three months on 1,024 of Google's specialized chips, a run the Ataraxos team estimates would cost $3 million to $4.5 million at 2025 prices. Ataraxos, in contrast, needed 16 GPUs for a week, plus an additional four GPUs for four days to train the belief model. Farina and lead author Samuel Sokota achieved this efficiency by writing a simulator that runs millions of moves per second on graphics cards. "At the scale that we are in academia, we don't really have access to an entire field of GPUs," Farina said. The algorithm also learned far faster -- it played about 34 times fewer games than DeepNash, and still ended up much stronger. The findings have been published in the journal Nature.

Snapdragon X2 Series processors feature a neural processing unit (NPU) delivering 80 trillion operations per second and allowing advanced AI features to run locally. And Snapdragon X2 Series "is expanding to Linux," Qualcomm announced today, calling it one of their most-requested capabilities: Qualcomm Technologies is a top contributor to Linux development at a kernel level, and now we're embracing support for Snapdragon X2 Series as a platform directly. We're upstreaming core drivers for Snapdragon X2 Series — including the Hexagon NPU and Adreno GPU — to open the door to developers and partners. We are starting with support for two operating systems based on Linux...

- Debian: We're kicking off with Debian by the end of this year, one of the most influential Linux distributions and the foundation behind many of the distros people use every day.
- Ubuntu: Qualcomm Technologies has partnered with Canonical to bring Ubuntu, the world's most widely used Linux distro, to the platform with Snapdragon X2 Series certification targeted for the first half of 2027.

...and this is just the beginning. Our partners HP, ASUS and HUMAIN are planning Linux support in the first of 2027, so that their devices deliver the incredible experience users expect with Snapdragon X2 Series in a new operating system.
Qualcomm's developer blog called it "a significant step forward" in Qualcomm's commitment to a developer-first approach, and "to the open-source community."

"For developers, the important part is simple: more core hardware features are being reviewed and merged, so that laptops with Linux on Snapdragon X2 Series will be easier to build, test, and debug..." The enablement work completed so far has been validated on a Debian 13-based ("Trixie") user space and a custom kernel, so developers should treat this as the current reference environment while support continues to mature... Linux support for laptops with Snapdragon X2 Series is rolling out in stages, starting with the core pieces developers need before they can do production-level work on their device... For developers who want to try it today, the call to action is straightforward: start with Snapdragon X2 Series hardware, review the latest recipes to build Qualcomm Linux Debian Images, build available upstream sources the Debian OS image and test the peripherals that matter to you, such as graphics, AI inference, device I/O, or basic application bring-up. Early testing helps identify the gaps that matter most before support becomes broader and ready for production-level workloads...

You do not have to wait for everything to be fully finished before getting hands-on. If you are comfortable working from upstream sources you can start evaluating Snapdragon X2 hardware today... Check out the step-by-step instructions, including the full build flow and deployment guidance for Snapdragon X2 Series Linux software.

Put simply, this effort is less about supporting specific Linux distributions and more about empowering the developers who make Linux available on new hardware. This Developer Preview targets distribution maintainers, toolchain developers, kernel contributors, and hardware enablement engineers. It provides the upstream building blocks, including kernel patches, drivers, and reference device trees, needed to enable Snapdragon X2 Series support in their own projects and distributions. For end users looking for a turnkey "install and go" experience, that will come later as distributions adopt what lands upstream. We're encouraging the community to build on this work and help shape what comes next.
The blog post notes that in the initial enablement stage, "Qualcomm Linux supports systemd-boot as the Universal extensible firmware interface (UEFI) boot manager to load and boot the Linux kernel."

Hands-on demos were given at the Snapdragon Summit in Maui of Linux running on Snapdragon X2 Series hardware, which the developer's blog calls "a practical look at what works today and where Snapdragon X2 Series Linux support is headed."

Two U.S. missiles hit an elementary school in Iran, killing over 150 people including 123 children on the first day of the Iran War. But Gizmodo notes that a new Bloomberg investigation cites U.S. officials involved in an unreleased internal Pentagon review who blame "a cascade of preventable failures that included an overreliance on an AI tool built by Palantir." According to the officials who spoke to Bloomberg, some personnel inside U.S. Central Command leaned too hard on the AI inside the Maven Smart System, an AI-powered data integration and targeting platform developed by Palantir to accelerate intelligence analysis and decision-making. The Defense Department has reportedly made the software tool a cornerstone of military operations over the past year... Officials said some users expected Maven to flag stale records or contradictions in the intelligence assembled for potential targets, though it is not clear why they thought the system would do that. The Minab [elementary school] site, which was cataloged as an Islamic Revolutionary Guard Corps facility due to outdated data, was fed into Maven with other candidates and came out as a recommended day-one target. Target-list work that once took hours was condensed into minutes.

A Palantir spokesperson told Bloomberg the company "is not responsible for the underlying data nor identifying intelligence deficiencies" and that there is no evidence its software was at fault. Two people familiar with Palantir's Pentagon contracts said the government keeps primary responsibility for the quality of the information that's fed into Maven. After the strike, Palantir added features that "re-review underlying intelligence to identify factors that would disqualify a target and flag inconsistencies and inaccuracies that human review may have missed," a person familiar with the work said. That new functionality is said to have already caught some anomalies...

More than 1,000 Iranian targets were hit in the first 24 hours, and according to Bloomberg's sources, that pace compressed the time available for additional confirmations. Staffing on civilian harm mitigation teams across the U.S. Department of Defense had also fallen by roughly 90% over recent years, shrinking to fewer than 20 people overall. The U.S. Central Command's group shrank from 10 people to one. No member of those teams reviewed the Minab site before the missiles were up in the air.

A separate inquiry by the United Nations' Independent International Fact-Finding Mission on Iran this week reached the conclusion that there were reasonable grounds to believe the United States committed the war crime of launching an indiscriminate attack.

"Hackers ripped down a Flock camera above a roadway, made a near-complete copy of the data stored inside it, and shared the files with 404 Media and WIRED," according to an article published on both sites.

Though Flock has described its system as protected by on-device encryption, "The hackers were able to copy the camera's storage and recover an encryption key stored on the device, which unlocked videos of thousands of vehicle detections." The hackers shared the material with 404 Media and the transparency nonprofit Distributed Denial of Secrets, which shared the data with WIRED. 404 Media and WIRED then analyzed those files as part of a joint investigation... [T]he joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist's saddlebag...

According to our analysis, the camera's logs recorded about 21 days of activity across several periods. During those windows, the device photographed roughly 50,200 vehicles and generated about 1.6 million images. On a typical day, it logged around 3,300 vehicles, with a high of 4,454... The software running on the camera explicitly detects people, something which is typically overlooked in discussions around Flock cameras. When it spots a person, it records where they appear in the image and how confident it is in the detection.
It was a collective calling itself stegan0gram that breached the cameras, according to the interview they did with Wired and 404 Media. "Why just destroy them when we can reverse engineer them and find the secrets of those spying on us?"

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.

Rockstar Games and the mayor of Miami-Dade county are discussing a joint marketing campaign transforming parts of the county to look like areas from Grand Theft Auto 6, reports the blog Rock Paper Shotgun: The proposed publicity event would include "an immersive arrival experience" at Miami International Airport. with signs for Vice City and planes coated in GTA 6 livery, together with branded Metromover skytrains and specially designed manhole covers... [I]t proposes a dockyard visual installation inspired by GTA 6's Port Gellhorn, incorporating cargo containers, cranes, and cruise ships. There's also talk of a "Vice City Motor Fest", which might feature "classic cars, customized vehicles, lowriders, motorcycles, tropical graphics, and local entertainment within a controlled, family-appropriate setting." Attendees would presumably be discouraged from nicking the cars...

As it happens, Rockstar have embedded a team in Miami to sponge up the ambience, research Miami culture, and study the habits of residents — including "ex-criminals", in the careful phrasing of senior vice president of narrative Rupert Humphries.
The pitch suggested murals, "wrapping" buses (with special signs at transit stops), and even a Vice City-inspired baggage-claim installation at the airport. The pitch also suggested the library offer recording equipment for "Vice City Radio" to capture music (as well as podcasting, oral histories, neighborhood storytelling) — along with " limited-edition GTA VI-inspired library cards, collectible bookmarks, Miami-themed reading and music lists, and demonstrations of the new recording and production equipment."

Though nothing has been formally agreed to or approved, the mayor's office confirmed the discussions, reports Axios.

The sheriff of Miami-Dade county "has publicly opposed plans to transform the city into a real version of Grand Theft Auto 6's "Vice City", reports Kotaku. The sheriff's reason? The videogame city "includes murder, robbery, drug trafficking, carjacking, violence against law enforcement," as well as "other conduct" that the police department works "every single day to prevent."

Apple has unveiled a new Mac mini with either its new M6 chip or the M5 Pro chip released earlier this year. It adds faster CPU, GPU, storage, and AI performance along with Wi-Fi 7, Bluetooth 6, and 2.5Gb Ethernet as standard. There's also a new higher starting price of $899, which is up from the previous $799 base price and far above the $599 starting price of the 2024 model. MacRumors reports: The M6 chip is equipped with a 12-core CPU and a 12-core GPU, up from a 10-core CPU and 10-core GPU in the M5 chip. In addition, the M6 chip features the first-ever dual Neural Engine with two 16-core engines, up from one in previous chips. The M6 chip has up to 170GB/s memory bandwidth, up from 153GB/s for the M5 chip.

Apple said the Mac mini with the M6 chip delivers up to 40% faster CPU performance, up to 4x faster performance for AI tasks in particular, up to 2x faster graphics performance, and up to 2x faster storage speeds compared to the previous-generation model with the 10-core M4 chip, 32GB of unified memory, and 2TB of storage.

There are two M5 Pro configurations available, including one with a 15-core CPU and a 16-core GPU, and another with an 18-core CPU and a 20-core GPU. Both of these models are equipped with a single 16-core Neural Engine for AI tasks. For both the M6 and M5 Pro configurations, Apple said the Mac mini now includes Neural Accelerators in each GPU core for the first time.

Linus Torvalds says AI "enormously helped" him track down a stubborn Intel Xe graphics driver bug that took 24 debugging patches and 18 kernel boots to isolate. "I'd like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it," wrote Torvalds on the commit. "I suspect those things have been trained by people who may not be quite as stubborn as I am..." Phoronix reports: The patch by Linus Torvalds is for the Xe kernel driver and the change is no longer hand out the flat Compute Command Streamer (CCS) storage as usable vRAM. On a Battlemage G21 graphics card, he was hitting a scenario where there was a mismatch where the usable memory ended and hit a case where the GDM display manager would end up being endlessly restarted. [...]

Linus Torvalds views AI as a useful tool and in this case reaffirmed he found it "enormously helped" his effort in tracking down this Intel graphics driver bug. The Intel Xe driver fix is merged to Linux 7.3 Git and is also marked to back-porting to the stable kernel branches.

Nvidia is working with Wall Street heavyweights on a potential $500 billion financing package for AI infrastructure (source paywalled; alternative source). The consortium includes BlackRock's Global Infrastructure Partners, Brookfield Asset Management, Goldman Sachs and KKR. The Financial Times reports: The partnership underscores Nvidia's growing efforts to raise capital for itself and its clients to continue assembling the chips, power production and data centres at the heart of the AI boom. The $5.25 trillion company has positioned itself at the centre of the AI boom, providing chips, infrastructure and software to a wide array of partners developing the technology. Nvidia's graphics processing units, or GPUs, underpin most of the leading US AI models available today.

[...] The biggest cloud-computing companies, including Meta, Oracle, Microsoft, Alphabet and Amazon, have dramatically increased their spending on AI infrastructure as they look to win the race to dominate the emerging technology. Morgan Stanley projects so-called hyperscalers will spend $3.5 trillion between 2026 and 2028. That need for capital has forced technology groups to tap every source of cash they can find, including public equity, investment-grade and high-yield bonds, securitized debt, private credit and project finance markets. "[The] sheer size of the AI infrastructure build-out is unprecedented," Jim Zelter, president of Apollo, said on an earnings call earlier this month. "More than $8 trillion of capital is expected to be invested, a staggering sum. We see an enormous opportunity for private capital to finance a portion of this along with public capital."

Even as Hollywood performers protest and Hollywood studios sue "in their war on AI," reports the Los Angeles Times, "the entertainment industry is deepening its dependence on it." Among hundreds of job postings in late June, more than one in 10 was likely connected to AI. The top studios' public postings suggest they have been recruiting people to build AI tools. They are also recruiting teams to defend their intellectual property against unauthorized AI use. "There are plenty of studios that are hiring [for AI] but never talk about it in public," said Yoland Yan, a co-founder of ComfyUI, a company that helps studios juggle different AI tools. Companies have been hesitant to detail how they use generative AI in film production — partly because they are concerned about consumer and union backlash. Some in Hollywood described AI use as the new cosmetic surgery, where everyone knows it is happening, but few will admit to it...

Although some companies may be shy about sharing their AI plans, big stars who don't have to answer to others have been more open about their embrace of the new technology for storytelling. Rejecting AI is like picking a horse and buggy over a car, said "Star Wars" creator George Lucas. "Artificial intelligence means it's much easier for us to make movies," he told a trade magazine earlier this year. "There's nothing you can do about it. That's progress. It's the future." Some in Hollywood have a softer stance on artificial intelligence, with studios cutting deals with AI companies, and filmmakers like Martin Scorsese backing AI companies. Ben Affleck launched an AI film tech company then sold it to Netflix for half a billion dollars. When launching InterPositive, Affleck said he wanted to keep "storytelling human" by building AI tools that could fix lighting, generate missing shots and other things while "keeping creative decisions in the hands of artists...."

Disney, Netflix and Amazon had job postings that were about using AI on the creative side of the business. Universal, Paramount, Warner Bros. and Sony had job ads suggesting they were also using AI but for marketing, distribution and audience analytics. The postings suggest the Disney, Netflix and Amazon studios are building repeatable AI workflows for visual effects, animation, sound and dubbing. The companies also seem to be building in-house teams to develop custom generative-AI models, while also using third-party software.

None of the jobs advertised were to create AI that wrote scripts or created AI actors.
Ironically, the Times used Claude Code to build a scraper to identify the job postings, their article acknowledges.

• Three Disney jobs were for "content security," assessing AI tools and guarding against piracy, watermarking and rights-protection work. But Disney is also hiring PhD-level talent "to study 'computer graphics and AI' for Pixar and Disney films," according to the article, and "people to 'bridge the gap between research and practical studio application.'"

• Disney-owned visual effects shops Industrial Light & Magic "was searching for supervisors to 'explore emerging technologies (including AI/Machine Learning)' to develop new production workflows."

• Audio post-production unit Skywalker Sound "seemed to be recruiting to build proprietary AI models for soundtracks, voice separation, and voice transfer, the process of taking a speaker's tone and pitch, and applying it to new content."

• Amazon "was hiring a principal AI executive to drive AI-tool adoption across production, plus roles in operations automation and LLM content classification."

Valve is funding Collabora's experimental effort to port the open-source RADV Vulkan driver from Linux to Windows. The team has already demonstrated Counter-Strike 2 running with RADV, but a stable interface or compatibility shim will be needed to handle undocumented driver changes. Phoronix reports: Louis-Francis Ratte-Boulianne put out a blog post highlighting their initial work on porting RADV to Windows. Besides working on Windows WDDM2 integration for Windows, a big challenge with porting RADV to Windows is on relying on the AMD Radeon Software Windows kernel driver.

It's out-of-scope of this current work for trying to port the AMDGPU Linux kernel graphics driver to Windows, so they are working on bringing RADV to Windows while relying on AMD's official Windows kernel driver. That in turn has led to reverse engineering and other steps for figuring out the proprietary kernel driver's data structures and other elements so RADV can be adapted to use it.

Arizona State University has launched a 120-credit bachelor's degree in content creation that teaches video, podcasting, branding, analytics, media law, and social strategy. For their capstone, students are "expected to build a real social media account and demonstrate audience growth during the program," reports Dexerto. From the report: The Content Creation BA is housed within ASU's Walter Cronkite School of Journalism and Mass Communication and appears in the university's 2026-2027 course catalog. The 120-credit-hour degree prepares students to become "an influencer and strategic storyteller" by teaching video production, podcasting, personal branding, audience analytics and social media strategy. The program was approved by the ASU University Senate in March 2026. Its proposal said graduates would be prepared to work independently as influencers and content creators across livestreaming, videography, writing, podcasting, graphics and emerging media.

[...] For the program's final project, students will choose a social media platform, such as TikTok, create a content and growth strategy, and attempt to gain real followers throughout the semester. "They will have demonstrable audience growth," [explained Jessica Pucci, senior associate dean at the Cronkite School]. "They will have a platform of their choice with real content and real followers and a real audience behind them." The curriculum includes courses titled How to Become an Influencer, On-Camera Presence, Introduction to Editing, Videography, Podcasting and Audio Storytelling, Social Media Foundations and The Digital Audience.

CNBC reports: Amazon is requiring that third-party sellers label any product images or videos that contain "AI-generated people" after New York recently passed a law mandating greater transparency around "synthetic performers" in ads... The policy directs sellers to tag images [and videos or other graphics on listing pages] with specific metadata keywords before they're uploaded. "Recent legislation requires disclosure when images or videos in advertisements contain photorealistic AI-generated people," Amazon wrote in the announcement [clarifying that the requirement doesn't apply to content featuring TV/video game/movie characters or content including real people, even if they've been altered using AI]. The company said it will "add an indicator" to listings on its website, informing consumers that images or other content feature AI-generated people, "where applicable." It's unclear what criteria Amazon will apply when deciding when to display the label to shoppers...

Amazon has embraced AI internally and it's increasingly infusing the technology across its portfolio. The company has optimized listing titles and details so they're more likely to be spotted by AI systems, invested in a recently rebranded assistant called Alexa for Shopping, and launched a feature that injects AI-generated [images of] products into its search bar in real time based on user queries. More Amazon third-party sellers are using AI to generate text, images and other content for their listings, partly by using the company's tools.
Outside sellers account for more than 60% of goods sold on Amazon, the article points out. It adds that there's currently no nationwide U.S. law requiring companies to disclose AI-generated advertising content, it adds — but YouTube, Meta, Pinterest, and TikTok have already added labels for AI-generated content.

And a new California law also requires large AI providers to embed watermarks in AI-generated images, video and other content...

Microsoft has announced Xbox Backward Compatibility for PC, a new preservation program that will let players run select classic Xbox games on Windows PCs and handhelds like the ROG Xbox Ally. Tom's Hardware reports: "This marks the beginning of a broader effort to preserve XBOX games from the past and bring them to PC over time," the company said in a blog post authored by Xbox "VP next generation" Jason Ronald. Alongside backward compatibility, the company says games will also include new features. The four titles in the announcement are: BLiNX: The Time Sweeper; Conker: Live and Reloaded; Crimson Skies: High Road to Revenge; and Fuzion Frenzy.

You can now buy all of these games on PC, and they're also included in all Xbox Game Pass plans. Anyone who already owns these titles digitally on console can also now play them on PC or handheld, with support for Xbox Play Anywhere and Xbox Cloud Gaming. Crucially, this appears to be a digital-only preservation effort, so it won't help anyone who only owns physical copies of these games. Xbox has reportedly been testing a way to digitize physical games as far back as Xbox One, but that hasn't yet materialized yet.

Alongside the preserved original gameplay, Xbox claims these games will let users customize graphics settings, with up to 4x resolution scaling, VSync support, Fullscreen and Windowed modes, anisotropic filtering, and enhanced anti-aliasing, with more features to come in the future. Notably, Xbox will add achievements to select original Xbox games on console and PC.

BrianFagioli writes: Valve has released Proton 11.0-1, a major update to its Windows compatibility layer for Linux that makes more games playable while fixing a long list of bugs affecting existing titles. The release restores compatibility for many EA games after a recent EA App update, moves classics like Resident Evil (1996), Resident Evil 2 (1998), Dino Crisis, and SHOGUN: Total War from Proton Experimental into the stable release, and adds support for games including Gothic 1 Classic, X-Plane 12, Breath of Fire IV, and Deadly Premonition. Valve also fixed crashes in HELLDIVERS 2, restored No Man's Sky VR support, improved Steam Overlay compatibility with EA games, addressed KDE and GNOME desktop issues, and rebased Proton on Wine 11.0 with updated graphics components. The full list of changes can be found here.

With the price of the new Steam Machine starting at $1,049, you might want to consider making your own Steam Machine instead. An anonymous reader quotes a report from The Verge: Valve says that "starting with the SteamOS 3.8 release, you can put together your own Steam Machine using whatever PC parts you want." SteamOS 3.8.10 launched last week with a slew of updates, including "improved compatibility with recent Intel and AMD platforms." Alongside that improved compatibility, Valve is giving gamers the green light to install SteamOS on their own desktops. In an interview with The Verge, Valve's Pierre-Loup Griffais said Valve has been "rolling out improvements to [SteamOS] so it's more compatible with desktop hardware," including eventual support for Nvidia graphics. Griffais says Valve has "a growing team" working on Nvidia driver support for SteamOS, adding, "We're collaborating with Nvidia very closely." While he mentioned that Nvidia support might not come this year, Griffais emphasized that "it's certainly something that we're working on in the background."

It's technically been possible to run SteamOS on your own hardware for a while now, but compatibility has been mostly limited to AMD systems. So far installing it has also required using a Steam Deck recovery image, a process that, speaking from experience, is much less straightforward than the installation process for most other Linux distributions. Trying to run SteamOS on Intel or Nvidia hardware has not been easy so far. According to Griffais, Valve is working to change that, which could mean that down the line, you'll be able to run SteamOS on just about any gaming PC hardware you want, including Nvidia.

For the more immediate future, Griffais says SteamOS in its current state should offer a "good experience" on console-like PC setups: "If you have something that is similar to the use case of a Steam Machine, where you have a PC that's gonna be plugged into a TV, and has a single hard drive that you're not going to try and dual boot [] you can put SteamOS on there, and you'll have an experience that is very similar to a Steam Deck docked or a Steam Machine, with some caveats, of course," like a lack of HDMI-CEC support. But "the core bits of the experience are there. The SteamOS graphics driver, the shader precompilation [...] you can get at all of that with the SteamOS." Griffais says SteamOS does not yet offer an easy way to dual-boot alongside Windows or another operating system, but envisions "a time where it's a better experience to install on your desktop and have it coexist with a different operating system."

Phoronix reports: The AMD R600 Gallium3D driver saw 59 commits [last] Sunday to Mesa 26.2. Making this code restructuring and code cleaning all the more notable is that the improvements to this old AMD Radeon graphics driver was done in part by GitHub Copilot.

Gert Wollny has been among the few open-source developers left working on the AMD R600g driver that covers from the Radeon HD 2000 series through Radeon HD 6000 series graphics cards... [T]he old open-source GPU driver support is being assisted by AI long after the upstream vendor has stopped working on this driver — the Radeon HD 2000 "R600" series launched in 2007.

Firefox has merged initial support for Vulkan Video decoding, giving the browser a more cross-platform path for GPU-accelerated video playback beyond Linux's long-running reliance on VA-API. Phoronix reports: Firefox on Linux has long been focused on the Video Acceleration API (VA-API) that isn't universally supported by Linux graphics drivers. This has left to efforts like NVIDIA-VAAPI-Driver to layer VA-API atop NVIDIA NVDEC interfaces to enjoy GPU-accelerated video playback in Firefox. Smaller Arm/embedded graphics drivers also have been largely left out of the game in the VA-API space. But with Vulkan Video we are beginning to see more adoption and in a cross-platform manner.

[...] The Firefox 153 release due out in July will have Vulkan Video decoding support available. The Vulkan Video activity in Firefox Git culminated this week with the work of NVIDIA engineer Tymur Boiko and Red Hat's Martin Stransky. Firefox 153.0 is expected for release on 21 July with this Vulkan Video support assuming no last minute issues.

Valve says its long-awaited Steam Machine and Steam Frame are both "shipping this summer." The company is also expanding its Verified program beyond Steam Deck to cover the new hardware. "Steam Verified is a developer-focused program where game makers ensure that their titles are capable of running on the Deck (meaning they'll run fine under Linux), that the UI elements and text are readable at standard resolutions, and that sensible default graphics settings are used," notes Tom's Hardware. From the report: The news should ease the worries of many an expecting gamer, given today's constant worries about AI servers slurping every RAM and NAND chip on the face of the earth, as well as Valve's own statements about component scarcity delaying the release. Plus, the company always works on its own schedule, so much so that Valve Time is a term.

The release of the Machine has been taking flak, given that while Valve was initially hoping for an estimated $600 to $800 price -- in the ballpark of the higher-end consoles -- the rumored pricing is climbing around or over $1000. This fact is somewhat corroborated by a February statement from a Valve executive who, like most anyone in the world, stated the price revision was due to the AI-driven component shortage.