Valve's new Steam Machine will launch June 29 starting at $1,049 and go up from there depending on the configuration. Although it costs considerably more than the PS5 ($599.99) and Xbox Series X ($649.99), "the value proposition for the Steam Machine is that it can play your library of Steam games you may have accumulated over years (or even decades), rather than just PlayStation games, and it's also a full Linux PC that you can customize to your heart's content," reports The Verge. "Valve also says that it's selling the Steam Machine for the cost of its components alone instead of subsidizing the price." From the report: You can now register your interest to buy a Steam Machine as part of a reservation system. To offer a fair playing field for people who want to buy one, Valve will randomize everyone in the queue on Thursday at 1PM ET. After that, anyone who registers their interest will be added to the end of the waitlist. The first emails giving people the opportunity to buy will go out on June 29th.

Valve will sell four configurations of the Steam Machine:

- A 512GB model for $1,049
- A 512GB model with a bundled Steam Controller for $1,128
- A 2TB model for $1,349
- A 2TB model with a bundled Steam Controller for $1,428

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Garfield AI, the UK's first regulator-approved AI law firm, has won its first court case after helping a freelancer recover 7,000 pounds in unpaid fees. "I was owed money for work I had done, but it felt like the process of recovering it could be too stressful, expensive and time-consuming," said Tamires Camal Taquidir, a freelancer who had provided HR-related services to a hospitality business. "Garfield made it possible for me to pursue the claim and keep going. When the counterclaim was brought, it was intended to intimidate me, but I knew I had accessible, cost-effective and competent support. I'm delighted by the result." Computer Weekly reports: After attempting to resolve a dispute over paid fees without court action, Camal Taquidir [...] used Garfield AI to help her pursue the case in court. She was able to generate pre-action correspondence, and then prepare and issue court proceedings. The AI legal assistant conducted all of the legal work preceding the court trial. The defendant instructed solicitors and brought a counterclaim, which the claimant disputed with the support of Garfield AI.

The claimant continued to trial, including dealing with document production, the preparation witness statements and trial bundles. Garfield then instructed a junior, shortly before the trial began. She won the claim over unpaid fees following a three-hour trial at Wandsworth County Court. The claimant paid around 400 pounds in Garfield AI fees to recover the 7,000 pounds owed, while the defendant instructed both a solicitor and a barrister. [...] Following a three-hour trial at Wandsworth County Court on 14 May 2026, in which both sides were represented by barristers, the court found in favor of the claimant, awarding 7,000 pounds and dismissing the counterclaim.

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UC San Diego researchers are working with Google to build a private cloud from 2,000 retired Pixel Fold motherboards, demonstrating how discarded smartphones could provide useful, low-cost computing capacity. "The full smartphone cluster is expected to launch this fall," reports The Register. "Depending on how well the initial phase goes, we're told the cluster could grow even larger." From the report Once the phone's motherboards have been extracted from their shells, the researchers say that the chips hiding within remain more than potent enough to be useful for a variety of tasks. In many cases, the single-threaded performance of these chips is as good as, if not better than, what you'd find from a many-cored datacenter chip. The Pixel Fold smartphones, which will form the basis of the cluster, are powered by a Google Tensor G2 processor with two 2.85 GHz Cortex-X1, two 2.35 GHz Cortex-A78 and four 1.80 GHz Cortex-A55 Arm cores, a Mali-G710 MP7 GPU, and 12 GB of system memory. Early benchmarking using the SPEC suite suggests that 25-50 phones should deliver performance similar to that of a conventional server.

The major challenge, instead, is distributing workloads across multiple devices, each of which has a handful of cores of one or more varieties, and most have 8-12 GB of memory. UCSD researchers are approaching this challenge from a couple of different angles. The first is by targeting applications that can easily fit within a single device. The second is using Kubernetes to orchestrate container deployments across clusters of 25-50 phones. For this to work, the devices first need to be flashed with a Linux operating system suitable for the job. While Android makes for a great handheld experience, it is not intended for server duty. In the blog post, researchers note that Android includes functionality intended to stop rogue applications from chewing up excessive amounts of memory and draining your battery. In server context, these safety mechanisms are no longer necessary.

[Ryan Kastner, an associate professor of computer science at UCSD] told us this was by no means an easy task, but the team has made steady progress toward getting Linux running smoothly on these devices, including support for the phone's onboard GPUs. Access to some functionality, like the chip's integrated tensor processing unit, remains elusive. Clustering these devices will require networking the phones together. Normally these devices would connect over cellular or Wi-Fi, but at this scale, this not only isn't practical, but also has implications for security, he explained. Instead, the team will employ PCBs that both supply power and break out wired Ethernet networking.

The researchers suggest that many EdTech, grading, and research workloads commonly run by universities in the cloud are small enough to run on the cluster without issue. "The vast majority of these applications are within the capabilities of a single smartphone to host, with the standard grading backend running on small cloud instances," a blog post detailing the planned deployment reads. "Early experiments show that even a moderately-sized cluster of 20 phones is capable of supporting peak submission rates for a 75+ student class."

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An anonymous reader quotes a report from TechCrunch: Claude Guillemot, co-founder of French video game company Ubisoft, died Friday at the age of 69. According to French media (via Bloomberg), Guillemot died in a plane crash in the French resort town of La Baule. He was one of two people aboard the plane, both of whom died.

Guillemot founded Ubisoft with his four brothers in 1986. Since then, the company has published the Assassin's Creed, Far Cry, Prince of Persia, and Tom Clancy video game franchises, as well as many other titles. The family retains control of Ubisoft, and Guillemot's brother Yves is still CEO. Guillemot was also chairman of Guillemot Corp., which makes gaming and audio accessories. "Ubisoft was deeply saddened to learn of the death of Claude Guillemot, co-founder of the group and chairman of Guillemot Corp., in an accident," Ubisoft said in a statement. "Our thoughts are with his family and loved ones during this difficult time. No further statements will be made at this time."

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The F1 Nation crew are on hand to run through the main talking points ahead of the Austrian Grand Prix.

Chris Medland picks out the biggest talking points as F1 heads to Austria for the eighth round of the 2026 season.

Wij weten ook ff niet wat we lezen: SBS6 heeft een streep gezet door een volslagen achterlijk programma met Jan Versteegh waarin domme mensen dom veel geld konden winnen door domme dingen te doen. Een genre waarvan het magnum opus (De Gouden Kooi) al bijna 20 jaar achter ons ligt. Het idee van realityshow Vijf dagen vast was dus dat vijf compleet wildvreemden gedurende vijf dagen (goh!) aan elkaar vastgeketend zouden worden, ook tijdens het schijten, en dan met z'n vijven debiele opdrachtjes zouden moeten uitvoeren. Klinkt compleet ruk en dat bleek het ook te zijn. Na één draaiperiode zet Talpa de boel stop. Wellicht omdat de aan elkaar geketende kandidaten elkaar al na een dag naar het leven stonden en continu op de vuist gingen, of wellicht omdat het in de praktijk uitmondde op een zeer expliciet neuqprogramma. Hoewel dat allebei dus juist klinkt als prachtige tv. In ieder geval heeft ome Sjon de Mol besloten de stekker uit een volstrekt idioot pauperformat te trekken en daarop vragen wij ons af: is dit Nederland nog wel??

Thousands of handmade ceramic tiles nest together like a puzzle on the facade of the Torre San Luis hotel in Guadalajara, Mexico. Abstract shapes evocative of a lush garden ecosystem burst across the outdoor wall in a collaboration between Alex Proba and the artisans of Cerámica Suro.

Titled “Shape of Movement,” the large-scale public work melds Proba’s organic visual language with a color palette that reflects the local environment. Earthy neutrals, alongside dusty pinks and blues, mimic the sun-drenched landscape, while the dynamic forms appear as if they’re mid-motion.

“The work is about the movement we carry through spaces every day,” Proba shares. “I wanted the mural to feel as if the shapes are interacting with one another and flowing through the architecture itself.”

This is the second collaboration between Proba and Cerámica Suro, following a vibrant swimming pool installation at a Miami home. Find more from both the artist and the studio on Instagram.

Do stories and artists like this matter to you? Become a Colossal Member today and support independent arts publishing for as little as $7 per month. The article In Guadalajara, a Ceramic Tile Mural Mimics a Sun-Drenched Ecosystem appeared first on Colossal.

Nvidia is pushing agentic AI for scientific computing, and says that this requires a new scientific computing stack, which the GPU giant is ready to deliver, of course. At the ISC High Performance 2026 event in Hamburg, Germany, Nvidia is lauding its own achievements in supercomputing, highlighting just how many of the world’s top compute clusters use its hardware these days. But just as agentic AI has become this year’s buzzword in the machine intelligence industry, so the GPU slinger is pushing it as the next big thing for supercomputers and their research programs, driven by its next-gen Vera Rubin platform and new software tools. “We are currently witnessing a massive inflection point with agentic AI. AI is shifting from a tool that simply answers questions to an autonomous system that executes complex tasks,” Nvidia’s senior director of HPC and AI Factory Solutions Dion Harris told the media in a briefing. The Mission and Vision systems at the Los Alamos National Laboratory (LANL) in the US will be the world's first agentic AI supercomputers when they come online, he says. A new scientific computing stack connects agents, simulation, and AI together to accelerate the next generation of scientific discovery, Harris claims. “Scientists leverage agentic AI co-scientists that call simulators and surrogate models alongside tools and applications, to do everything from planned experiments to write code to run the simulations to simulations and AI and data analytics converging into one single workflow,” he explained. This requires an incredible amount of compute, memory, and networking, which, in Nvidia’s eyes, means supercomputers built on its Vera Rubin and Grace Blackwell platforms, plus Quantum InfiniBand networking, and new software for accelerating discovery. The latter comprises ALCHEMI, DAQIRI, and cuPhoton. The first is described by Nvidia as a domain-specific toolkit for chemical and material discoveries, using the BGR microservice for simulating millions of molecules and structures. DAQIRI is designed for the next-generation scientific instruments, connecting sensors directly to real-time AI inference points, Harris says. “At CERN's ATLAS experiment, less than 2 percent of collision data can typically be stored. DAQIRI introduces a GPU accelerated AI trigger pipeline allowing FPGAs to handle low latency routing while GPUs run deep learning models to ensure we learn from significantly more data,” he explained. Finally, cuPhoton is built to process petabytes of camera and telescope data to help scientists analyze massive cosmic data sets in minutes rather than months. “In testing with 32 Grace Blackwell superchips simulating data from the Rubin Observatory, cuPhoton loaded and read images 15,000 times faster and accelerated signal processing and analysis by up to 8,000 times,” Harris claimed. But Nvidia is pitching its next-gen silicon as the platform for agentic supercomputing. Due to be available in Q4 this year, the Vera Rubin NVL rack will cram in up to 144 GPUs per rack, and deliver 5 petaFLOPS of FP64 floating-point performance. Because many high-performance computing workloads are often bound by memory performance, Vera Rubin increases memory bandwidth by 2.8 times compared to Blackwell, Harris says, using 41 TB of HBM4 memory per rack to achieve three petabytes per second of bandwidth. Systems that are getting Vera Rubin include the Mission and Vision systems at LANL. These stack up to 2,160 Rubin GPUs plus 1,080 Vera CPUs, in the case of Mission, while Vision has a more modest 1,298 Rubins and 648 Veras. “Then there's Veritas, which is being announced at ISC, which deploys 576 Rubin GPUs, along with 288 Vera CPUs,” Harris says. We asked Nvidia what the purpose is of embedding agentic AI into scientific computing, much of which is about research driven by human curiosity. “Agentic AI, or in fact any AI, is not required to do science,” Harris told The Register. “But Nvidia believe agentic AI is already emerging as a powerful tool to do science at a scale that isn’t possible when human scientists alone drive the process. Agents don’t need to sleep, or eat, or take breaks. They can consume thousands or millions of technical papers and remember the details, and in some cases, they benefit from PhD-level understanding across diverse fields from astrophysics to zoology,” he said. Nvidia’s vision is that human scientists will have a team of agents running around the clock, able to do investigations they couldn’t themselves perform. “But agents require foundation models, LLMs, and connections to data and tools to perform science. They run on CPUs, but access tools, many of which need GPUs to run at maximum performance and efficiency,” Harris added. Nvidia claims that Europe is now a hotspot for HPC, with 35 new supercomputers brought online in the past year, all using Nvidia tech. These include Jupiter, Europe’s exascale system, MareNostrum 5 at the Barcelona supercomputing center, Bavaria AI's Blue Swan, HammerHAI at the University of Stuttgart, and Italy’s CINECA. ®