A United States District Court judge has approved a settlement between HP and customers who sued the company for firmware updates that prevented printers from working with non-HP ink cartridges.

The class-action lawsuit, filed in December 2020, alleged HP "wrongfully compels users" to buy only HP ink by issuing updates that block competitors' cartridges. Under the settlement, HP admits no wrongdoing and won't pay monetary damages to affected customers, though it will pay $5,000 each to the three plaintiffs and $725,000 in attorneys' fees.

HP has agreed to allow users of specific printer models impacted by the November 2020 update to decline firmware updates containing "Dynamic Security" features -- HP's term for technology that blocks cartridges using non-HP chips. The settlement applies only to 21 specific printer models, leaving numerous other HP printers subject to Dynamic Security restrictions. HP has previously paid millions in similar cases in Europe, Australia, and California related to printer bricking.

During the company's GTC 2025 keynote today, Nvidia founder and CEO Jensen Huang announced Isaac GR00T N1 -- the company's first open-source, pre-trained yet customizable foundation model designed to accelerate the development and capabilities of humanoid robots. "The age of generalist robotics is here," said Huang. "With Nvidia Isaac GR00T N1 and new data-generation and robot-learning frameworks, robotics developers everywhere will open the next frontier in the age of AI." The Verge reports: Huang demonstrated 1X's NEO Gamma humanoid robot performing autonomous tidying jobs using a post-trained policy built on the GR00T N1 model. [...] Other companies developing humanoid robots who have had early access to the GR00T N1 model include Boston Dynamics, the creators of Atlas; Agility Robotics; Mentee Robotics; and Neura Robotics. Originally announced as Project GR00T a year ago, the GR00T N1 foundation model utilizes a dual-system architecture inspired by human cognition.

System 1, as Nvidia calls it, is described as a "fast-thinking action model" that behaves similarly to human reflexes and intuition. It was trained on data collected through human demonstrations and synthetic data generated by Nvidia's Omniverse platform. System 2, which is powered by a vision language model, is a "slow-thinking model" that "reasons about its environment and the instructions it has received to plan actions." Those plans are passed along to System 1, which translates them into "precise, continuous robot movements" that include grasping, moving objects with one or two arms, as well as more complex multistep tasks that involve combinations of basic skills.

While the GR00T N1 foundation model is pretrained with generalized humanoid reasoning and skills, developers can customize its behavior and capabilities for specific needs by post-training it with data gathered from human demonstrations or simulations. Nvidia has made GR00T N1 training data and task evaluation scenarios available for download through Hugging Face and GitHub.

fahrbot-bot shares a report from Reuters: BYD on Monday unveiled a new platform for electric vehicles (EVs) that it said could charge EVs as quickly as it takes to pump gas and announced for the first time that it would build a charging network across China. The so-called "super e-platform" will be capable of peak charging speeds of 1,000 kilowatts (kW), enabling cars that use it to travel 400 km (249 miles) on a 5-minute charge, founder Wang Chuanfu said at an event livestreamed from the company's Shenzhen headquarters.

Charging speeds of 1,000 kW would be twice as fast as Tesla's superchargers whose latest version offers up to 500 kw charging speeds. The new charging architecture will be initially available in two new EVs -- Han L sedan and Tang L SUV priced from 270,000 yuan ($37,328.91) and BYD said it would build over 4,000 ultra-fast charging piles, or units, across China to match the new platform. "In order to completely solve our user's charging anxiety, we have been pursuing a goal to make the charging time of electric vehicles as short as the refuelling time of petrol vehicles," Wang said.

"This is the first time in the industry that the unit of megawatt (charge) has been achieved on charging power," he said.

According to The Verge, legacy G Suite accounts will soon lose their individual storage allotment perks and be transitioned to pooled storage, which will be "shared across all users within your organization." The changes will come into effect starting May 1st. From the report: G Suite was rebranded as Workspace in 2020. G Suite legacy free edition, which Google stopped offering in 2012, provides each user with 15GB of free allocated storage and was offered for personal use -- making it ideal for families or groups that need to share a collective domain. Existing users have been permitted to access Workspace services at no additional charge, but Google says it's now making this change because pooled storage provides a "simpler and more flexible way to manage storage." "Google Workspace customers have had the benefit of pooled storage for years, and now we're rolling it out to users with this legacy offering," Google spokesperson Jenny Thomson told The Verge.

No action is required for the switch according to Google, and users cannot opt out of the pooled storage transition. The total amount of storage allocated to the entire G Suite account won't be reduced, but if more storage is required then it can be purchased "at a discount" starting at increments of 100GB, which typically costs $15. Google hasn't specified how large this discount will be. Storage limitations can still be set for each user within the G Suite account after the transition to prevent the collective storage pool from being hogged by individual users. These limits will have to be manually assigned by an account admin, however.

Intel's stock jumped nearly 19% this week. "However, in the past year through Wednesday's close, Intel stock had fallen 53%," notes Investor's Business Daily: The appointment of Lip-Bu Tan as CEO is a "good start" but Intel has significant challenges, Morgan Stanley analyst Joseph Moore said in a client note. Those challenges include delays in its server chip product line, a very competitive PC chip market, lack of a compelling AI chip offering, and over $10 billion in losses in its foundry business over the past 12 months. There is "no quick fix" for those issues, he said.
"There are things you can do," a Columbia business school associate professor tells the Wall Street Journal in a video interview, "but it's going to be incremental, and it's going to be extremely risky... They will try to be competitive in the foundry manufacturing space," but "It takes very aggressive investments."

Meanwhile, TSMC is exploring a joint venture where they'd operate Intel's factories, even pitching the idea to AMD, Nvidia, Broadcam, and Qualcomm, according to Reuters. (They add that Intel "reported a 2024 net loss of $18.8 billion, its first since 1986," and talked to multiple sources "familiar with" talks about Intel's future). Multiple companies have expressed interest in buying parts of Intel, but two of the four sources said the U.S. company has rejected discussions about selling its chip design house separately from the foundry division. Qualcomm has exited earlier discussions to buy all or part of Intel, according to those people and a separate source. Intel board members have backed a deal and held negotiations with TSMC, while some executives are firmly opposed, according to two sources.
"They say Lip-Bu Tan is the best hope to fix Intel — if Intel can be fixed at all," writes the Wall Street Journal: He brings two decades of semiconductor industry experience, relationships across the sector, a startup mindset and an obsession with AI...and basketball. He also comes with tricky China business relationships, underscoring Silicon Valley's inability to sever itself from one of America's top adversaries... [Intel's] stock has lost two-thirds of its value in four short years as Intel sat out the AI boom...

Manufacturing chips is an enormous expense that Intel can't currently sustain, say industry leaders and analysts. Former board members have called for a split-up. But a deal to sell all or part of Intel to competitors seems to be off the table for the immediate future, according to bankers. A variety of early-stage discussions with Broadcom, Qualcomm, GlobalFoundries and TSMC in recent months have failed to go anywhere, and so far seem unlikely to progress. The company has already hinted at a more likely outcome: bringing in outside financial backers, including customers who want a stake in the manufacturing business...

Tan has likely no more than a year to turn the company around, said people close to the company. His decades of investing in startups and running companies — he founded a multinational venture firm and was CEO of chip design company Cadence Design Systems for 13 years — provide indications of how Tan will tackle this task in the early days: by cutting expenses, moving quickly and trying to turn Intel back into an engineering-first company. "In areas where we are behind the competition, we need to take calculated risks to disrupt and leapfrog," Tan said in a note to Intel employees on Wednesday. "And in areas where our progress has been slower than expected, we need to find new ways to pick up the pace...."

Many take this culture reset to also mean significant cuts at Intel, which already shed about 15,000 jobs last year. "He is brave enough to adjust the workforce to the size needed for the business today," said Reed Hundt, a former Intel board member who has known Tan since the 1990s.

"The number of discrete GPU developers from the U.S. and Western Europe shrank to three companies in 2025," notes Tom's Hardware, "from around 10 in 2000." (Nvidia, AMD, and Intel...) No company in the recent years — at least outside of China — was bold enough to engage into competition against these three contenders, so the very emergence of Bolt Graphics seems like a breakthrough. However, the major focuses of Bolt's Zeus are high-quality rendering for movie and scientific industries as well as high-performance supercomputer simulations. If Zeus delivers on its promises, it could establish itself as a serious alternative for scientific computing, path tracing, and offline rendering. But without strong software support, it risks struggling against dominant market leaders.
This week the Sunnyvale, California-based startup introduced its Zeus GPU platform designed for gaming, rendering, and supercomputer simulations, according to the article. "The company says that its Zeus GPU not only supports features like upgradeable memory and built-in Ethernet interfaces, but it can also beat Nvidia's GeForce RTX 5090 by around 10 times in path tracing workloads, according to slide published by technology news site ServeTheHome." There is one catch: Zeus can only beat the RTX 5090 GPU in path tracing and FP64 compute workloads. It's not clear how well it will handle traditional rendering techniques, as that was less of a focus. In speaking with Bolt Graphics, the card does support rasterization, but there was less emphasis on that aspect of the GPU, and it may struggle to compete with the best graphics cards when it comes to gaming. And when it comes to data center options like Nvidia's Blackwell B200, it's an entirely different matter.

Unlike GPUs from AMD, Intel, and Nvidia that rely on proprietary instruction set architectures, Bolt's Zeus relies on the open-source RISC-V ISA, according to the published slides. The Zeus core relies on an open-source out-of-order general-purpose RVA23 scalar core mated with FP64 ALUs and the RVV 1.0 (RISC-V Vector Extension Version 1.0) that can handle 8-bit, 16-bit, 32-bit, and 64-bit data types as well as Bolt's additional proprietary extensions designed for acceleration of scientific workloads... Like many processors these days, Zeus relies on a multi-chiplet design... Unlike high-end GPUs that prioritize bandwidth, Bolt is evidently focusing on greater memory size to handle larger datasets for rendering and simulations. Also, built-in 400GbE and 800GbE ports to enable faster data transfer across networked GPUs indicates the data center focus of Zeus.

High-quality rendering, real-time path tracing, and compute are key focus areas for Zeus. As a result, even the entry-level Zeus 1c26-32 offers significantly higher FP64 compute performance than Nvidia's GeForce RTX 5090 — up to 5 TFLOPS vs. 1.6 TFLOPS — and considerably higher path tracing performance: 77 Gigarays vs. 32 Gigarays. Zeus also features a larger on-chip cache than Nvidia's flagship — up to 128MB vs. 96MB — and lower power consumption of 120W vs. 575W, making it more efficient for simulations, path tracing, and offline rendering. However, the RTX 5090 dominates in AI workloads with its 105 FP16 TFLOPS and 1,637 INT8 TFLOPS compared to the 10 FP16 TFLOPS and 614 INT8 TFLOPS offered by a single-chiplet Zeus...
The article emphasizes that Zeus "is only running in simulation right now... Bolt Graphics says that the first developer kits will be available in late 2025, with full production set for late 2026."

Thanks to long-time Slashdot reader arvn for sharing the news.

"Cuba's power grid collapsed Friday night," reports CNN, "triggering a nationwide power outage and plunging its more than 10 million people into darkness." Video filmed by CNN in the capital Havana showed streets and buildings shrouded in total darkness, as people used electric torches to navigate the streets. By Saturday morning, the Cuban government officials said that "microsystems" — pockets of electricity — had been restored in some cities. However, it remains unclear when the island's power system would be fully online again and most people remained in the dark...

It marks the latest in a series of failures on the Caribbean island struggling with creaking infrastructure, natural disasters and economic turmoil... For nearly a week in October, most of Cuba suffered near-total blackouts, the worst energy outages in decades. While Cubans are used to frequent power outages, to have another nationwide backcourt — the fourth in six months — was unsettling for many people who need electricity to cook and refrigerate food that otherwise spoils quickly in the tropical heat.
"Many residents posted on online sites looking for propane, charcoal, and fuel for generators..."

"Wind and solar energy generated more electricity in the U.S. than coal for the first time last year," reports the Wall Street Journal, "according to analysis from clean-energy think tank Ember.

"The two renewable energy sources accounted for 17% of the country's power mix while coal fell to a low of 15%, it said." Solar was the fastest-growing energy source, according to Ember's analysis of data from the U.S. Energy Information Administration, increasing 27% from the year before, while wind rose 7%... Natural gas generation increased 3.3% in 2024, according to Ember, and remains by far the largest source of electricity in the U.S., accounting for 43% of the mix...

California and Nevada both surpassed 30% annual share of solar in their electricity mix for the first time last year (32% and 30%, respectively). California's battery growth was key to its solar success. It installed 20% more battery capacity than it did solar capacity, which helped it transfer a significant share of its daytime solar to the evening. Texas installed more solar and battery capacity than even California.

Yet the growth of solar was uneven — 28 states generated less than 5% of their electricity from solar in 2024, highlighting significant untapped potential — even before adding battery storage.
The article includes this observation from Dave Jones, chief analyst at Ember. "The fall in battery costs is a gamechanger for how much solar the U.S. electricity grid could integrate in the near future."

Electrek notes that "After being stagnant for 14 years, electricity demand started rising in recent years and saw a 3% increase in 2024, marking the fifth-highest level of rise this century..." Natural gas grew three times more than the decline in coal, increasing power sector CO2 emissions slightly (0.7%). Coal fell by the second smallest amount since 2014, as gas and clean energy growth met rising electricity demand, whereas historically, they have replaced coal. Despite growing emissions, the carbon intensity of electricity continued to decline. The rise in power demand was much faster than the rise in power sector CO2 emissions, making each unit of electricity likely the cleanest it has ever been.

An anonymous reader quotes a report from 404 Media: Something very strange is happening inside Super Nintendo (SNES) consoles as they age: a component you've probably never heard of is running ever so slightly faster as we get further and further away from the time the consoles first hit the market in the early '90s. The discovery started a mild panic in the speedrunning community in late February since one theoretical consequence of a faster-running console is that it could impact how fast games are running and therefore how long they take to complete. This could potentially wreak havoc on decades of speedrunning leaderboards and make tracking the fastest times in the speedrunning scene much more difficult, but that outcome now seems very unlikely. However, the obscure discovery does highlight the fact that old consoles' performance is not frozen at the time of their release date, and that they are made of sensitive components that can age and degrade, or even 'upgrade', over time. The idea that SNESs are running faster in a way that could impact speedrunning started with a Bluesky post from Alan Cecil, known online as dwangoAC and the administrator of TASBot (short for tool-assisted speedrun robot), a robot that's programmed to play games faster and better than a human ever could.

[...] So what's going on here? The SNES has an audio processing unit (APU) called the SPC700, a coprocessor made by Sony for Nintendo. Documentation given to game developers at the time the SNES was released says that the SPC700 should have a digital signal processing (DSP) rate of 32,000hz, which is set by a ceramic resonator that runs 24.576Mhz on that coprocessor. We're getting pretty technical here as you can see, but basically the composition of this ceramic component and how it resonates when connected to an electronic circuit generates the frequency for the audio processing unit, or how much data it processes in a second. It's well documented that these types of ceramic resonators are sensitive and can run at higher frequencies when subject to heat and other external conditions. For example, the chart [here], taken from an application manual for Murata ceramic resonators, shows changes in the resonators' oscillation under different physical conditions.

As Cecil told me, as early as 2007 people making SNES emulators noticed that, despite documentation by Nintendo that the SPC700 should run at 32,000Hz, some SNESs ran faster. Emulators generally now emulate at the slightly higher frequency of 32,040Hz in order to emulate games more faithfully. Digging through forum posts in the SNES homebrew and emulation communities, Cecil started to put a pattern together: the SPC700 ran faster whenever it was measured further away from the SNES's release. Data Cecil collected since his Bluesky post, which now includes more than 140 responses, also shows that the SPC700 is running faster. There is still a lot of variation, in theory depending on how much an SNES was used, but overall the trend is clear: SNESs are running faster as they age, and the fastest SPC700 ran at 32,182Hz. More research shared by another user in the TASBot Discord has even more detailed technical analysis which appears to support those findings. "We don't yet know how much of an impact it will have on a long speedrun," Cecil told 404 Media. "We only know it has at least some impact on how quickly data can be transferred between the CPU and the APU."

Cecil said minor differences in SNES hardware may not affect human speedrunners but could impact TASBot's frame-precise runs, where inputs need to be precise down to the frame, or "deterministic."

With Microsoft ending free security updates for Windows 10 in October, millions of PCs that don't meet Windows 11's hardware requirements face an uncertain fate... Charities that refurbish and distribute computers to low-income individuals must choose between providing soon-to-be-insecure Windows 10 machines, transitioning to Linux -- despite usability challenges for non-tech-savvy users -- or recycling the hardware, contributing to ewaste. Tom's Hardware reports: So how bad will it really be to run an end-of-lifed Windows 10? Should people worry? [Chester Wisniewski, who serves as Director and Global Field CISO for Sophos, a major security services company] and other experts I talked to are unequivocal. You're at risk. "To put this in perspective, today [the day we talked] was Patch Tuesday," he said. "There were 57 vulnerabilities, 6 of which have already been abused by criminals before the fixes were available. There were also 57 in February and 159 in January. Windows 10 and Windows 11 largely have a shared codebase, meaning most, if not all, vulnerabilities each month are exploitable on both OSs. These will be actively turned into digital weapons by criminals and nation-states alike and Windows 10 users will be somewhat defenseless against them."

So, in short, even though Windows 10 has been around since 2015, there are still massive security holes being patched. Even within the past few weeks, dozens of vulnerabilities were fixed by Microsoft. So what's a charity to do when these updates are running out and clients will be left vulnerable? "What we decided to do is one year ahead of the cutoff, we discontinued Windows 10," said Casey Sorensen, CEO of PCs for People, one of the U.S.'s largest non-profit computer refurbishers. "We will distribute Linux laptops that are 6th or 7th gen. If we distribute a Windows laptop, it will be 8th gen or newer." Sorensen said that any PC that's fifth gen or older will be sent to an ewaste recycler.

[...] Sorensen, who founded the company in 1998, told us that he's comfortable giving clients computers that run Linux Mint, a free OS that's based on Ubuntu. The latest version of Mint, version 22.1, will be supported until 2029. "Ten years ago if we distributed Linux, they would be like what is it," he said. But today, he notes that many view their computers as windows to the Internet and, for that, a user-friendly version of Linux is acceptable. Further reading: Is 2025 the Year of the Linux Desktop?

Microsoft says that some USB printers will start printing random text after installing Windows updates released since late January 2025. From a report: The known issue affects Windows 10 (version 22H2) and Windows 11 (versions 22H2 and 23H2), but according to an update to the Windows release health dashboard, the latest Windows 11 24H2 is not impacted.

"After installing the January 2025 Windows preview update (KB5050092), released January 29, 2025, or later updates, you might observe issues with USB connected dual-mode printers that support both USB Print and IPP Over USB protocols," Redmond explains. "You might observe that the printer unexpectedly prints random text and data, including network commands and unusual characters."

On affected systems, users will often see erroneously printed text that begins with the header "POST /ipp/print HTTP/1.1," followed by other IPP (Internet Printing Protocol) related issues headers. These printing issues are more frequent when the printer is turned on or reconnected after being disconnected. Affected users will observe the printer unexpectedly printing when the print spooler sends IPP protocol messages to the printer and the printer driver is installed on the Windows device.

Longtime Slashdot reader UnknowingFool writes: Gamer's Nexus performed tests on the effect of removing legacy 32-bit PhysX on the newest generation of Nvidia cards with older games, and the results are not good. With PhysX on, the latest generation Nvidia was slightly beaten by a GTX 580 (released 2010) on some games and handily beaten by a GTX 980 (2014) on some games.

With the launch of the 5000 series, NVidia dropped 32-bit CUDA support going forward. Part of that change was dropping support for 32-bit PhysX. As a result, older titles that used it would perform poorly with 5000 series cards as it would default to CPU for calculations. Even the latest CPUs do not perform as well as 15-year-old GPUs when it comes to PhysX.

The best performance on the 5080 was to turn PhysX off however that would remove many effects like smoke, breaking glass, and rubble from scenes. The second-best option was to pair a 5000 series with an older card like a 980 to handle the PhysX computations.

According to The Verge, Sonos has abandoned its plans to release a streaming video player this year. From the report: The news was announced by the company's leadership during an all-hands call today. That product, codenamed Pinewood, was set to be Sonos' next major hardware launch. It was already deep into development and has spent months in beta testing. But now the team behind it will be reassigned to other projects as interim CEO Tom Conrad reprioritizes the company's future roadmap and continues what he hopes will be a turnaround from a bruising 2024. He told employees that a push into video from Sonos is off the table "for now." [...]

Pinewood was designed to offer many of the same streaming video apps as other devices on the market along with deep universal search and content aggregation. But as I reported last month, Sonos also intended for it to double as an HDMI switcher and support passthrough functionality for gaming consoles, 4K Blu-ray players, and more. The box was also set to allow new configurations of surround sound systems using Sonos' many speakers.

An anonymous reader quotes a report from Ars Technica: On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants. [...] Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems. For example, with Gemini Robotics, you can ask a robot to "pick up the banana and put it in the basket," and it will use a camera view of the scene to recognize the banana, guiding a robotic arm to perform the action successfully. Or you might say, "fold an origami fox," and it will use its knowledge of origami and how to fold paper carefully to perform the task.

In 2023, we covered Google's RT-2, which represented a notable step toward more generalized robotic capabilities by using Internet data to help robots understand language commands and adapt to new scenarios, then doubling performance on unseen tasks compared to its predecessor. Two years later, Gemini Robotics appears to have made another substantial leap forward, not just in understanding what to do but in executing complex physical manipulations that RT-2 explicitly couldn't handle. While RT-2 was limited to repurposing physical movements it had already practiced, Gemini Robotics reportedly demonstrates significantly enhanced dexterity that enables previously impossible tasks like origami folding and packing snacks into Zip-loc bags. This shift from robots that just understand commands to robots that can perform delicate physical tasks suggests DeepMind may have started solving one of robotics' biggest challenges: getting robots to turn their "knowledge" into careful, precise movements in the real world. DeepMind claims Gemini Robotics "more than doubles performance on a comprehensive generalization benchmark compared to other state-of-the-art vision-language-action models."

Google is advancing this effort through a partnership with Apptronik to develop next-generation humanoid robots powered by Gemini 2.0. Availability timelines or specific commercial applications for the new AI models were not made available.

Roomba maker iRobot has warned it may cease operations within 12 months unless it can refinance debt or find a buyer, just one day after launching a new vacuum cleaner line. In its March 12 quarterly report, the company disclosed it had spent $3.6 million to amend terms on a $200 million Carlyle Group loan from 2023, as U.S. revenue plunged 47% in the fourth quarter.

"Given these uncertainties and the implication they may have on the Company's financials, there is substantial doubt about the Company's ability to continue as a going concern for a period of at least 12 months from the date of the issuance of its consolidated 2024 financial statements," the company wrote.

The robot vacuum pioneer has initiated a formal strategic review after a failed Amazon acquisition, the departure of founder Colin Angle, and layoffs affecting over half its workforce. iRobot cited mounting competition from Chinese manufacturers and expects continued losses for "the foreseeable future."