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News Source Slashdot:Hardware
NextEra and Dominion's $67 Billion Mega-Merger Is All About the Data Centers
An anonymous reader quotes a report from Inside Climate News: A proposed merger of the largest utility in the country by market value, NextEra Energy, with the sixth-largest, Dominion, would create a megacompany at a time when data centers and rapid increases in electricity demand are reshaping the industry. The proposal, announced Monday morning and contingent on state and federal regulatory approval, would result in a company that leads in nearly every aspect of the US power and utility industry, including overall electricity generation, natural gas generation, and renewables. The $67 billion deal combines NextEra's size and reach with Dominion's positioning as the local utility for the world's largest concentration of data centers in northern Virginia. But the results are likely bad for consumers and the environment, creating a company with enormous financial and political strength that will be difficult to effectively regulate, according to consumer advocates and analysts. For perspective, only Exxon Mobil and Chevron would be larger based on market value among US-based energy companies. "Mergers are not about consumers; they're about shareholders," said Ari Peskoe, director of the Electricity Law Initiative at Harvard Law School. "For the Dominion shareholders, they are selling their shares at a premium. The executives are getting massive payouts for facilitating this, assuming it all goes through, and obviously NextEra believes the transaction is going to add value to the company. Ratepayers are all an afterthought." The deal makes financial sense for both companies, said Andrew Bischof, an equity analyst for Morningstar. "We view the transaction as allowing NextEra to accelerate its data center ambitions, which had trailed those of its regulated peers, by using Dominion's expertise and relationships to expedite NextEra's data center hub plans," he said in a note to clients. NextEra, based in Juno Beach, Florida, includes Florida Power & Light, the largest regulated electricity utility in the state, and NextEra Energy Resources, a wholesale electricity supplier that owns power plants across the nation. Dominion, based in Richmond, Virginia, includes regulated utilities serving much of Virginia, parts of North Carolina and South Carolina, and other assets across the country. The company would be called NextEra Energy, and NextEra CEO John W. Ketchum would serve in the same role after the deal closes. Robert M. Blue, Dominion's CEO, would be the CEO for regulated utilities for the merged company. The parties said they expect regulatory approvals to take 12 to 18 months. NextEra shareholders would own 74.5 percent and Dominion shareholders would own 25.5 percent, respectively, of the combined company in the all-stock transaction. "We are bringing NextEra Energy and Dominion Energy together because scale matters more than ever -- not for the sake of size, but because scale translates into capital and operating efficiencies," Ketchum said in a statement. Although the companies claim the deal would produce savings, including $2.25 billion in Dominion customer bill credits, former regulator Marissa Paslick Gillett said she was "flabbergasted by the tone deafness," arguing that major utility mergers rarely deliver the promised "synergies" and often create "a behemoth" that is harder to regulate. Others warned that a larger NextEra could use its political power "to the disadvantage of ratepayers," while climate advocates said expanding methane gas plants to serve data centers would worsen pollution and leave vulnerable communities "at the short end of the stick."
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Microsoft Launches Surface Pro 12, Surface Laptop 8 With Intel Chips
Microsoft is launching three new Intel-powered Surface devices for businesses: the Surface Pro 12, Surface Laptop 8, and a smaller 13-inch Surface Laptop model. These new machines come equipped with newer Intel chips, a few business-focused upgrades, and notably higher starting prices. "The high pricing of these three new Surface devices is a sign of things to come for whatever consumer models Microsoft is planning this year," notes The Verge. From the report: This time around Microsoft is refreshing its Surface Pro and Surface Laptop models with Intel's latest Core Ultra Series 3 processors first, ahead of similar models with Qualcomm's new Snapdragon X2 processors later this year. The new Surface Pro 12, or as Microsoft calls it the Surface Pro for Business 13-inch (12th Edition), will be available for businesses today, starting at an eye-watering $1,949.99. The base model will include an Intel Core Ultra 5 processor, 16GB of RAM, 256GB of storage, and the regular 13-inch PixelSense LCD display. Businesses will have to pay extra for models with Intel's Core Ultra 7 processor, up to 64GB of RAM, and up to 1TB of storage. The top spec Surface Pro 12 with a Core Ultra 7, 64GB of RAM, and 1TB of storage will be priced at $4,399.99, and there are also OLED screen options and models with 5G connectivity. The Surface Pro 12 5G starts at $2,249.99, with a Core Ultra 5, 16GB of RAM, and 256GB of storage. [...] Microsoft is also launching two new versions of the Surface Laptop for businesses today. The Surface Laptop 8, or Surface Laptop for Business 13.8 or 15-inch (8th Edition) as Microsoft calls it, will also be available with a range of Intel's Core Ultra Series 3 chips. It launches alongside a smaller 13-inch model, which is confusingly labeled the Surface Laptop for Business 13-inch (1st Edition). The 13.8-inch model starts at $1,949.99, and includes Intel's Core Ultra 5 processor, 16GB of RAM, and 256GB of storage. While Surface devices for businesses have typically had higher pricing than consumer models, the $1,949.99 starting price for a Surface Laptop 8 is almost double the original price of the Surface Laptop 7. RAMageddon really has come for Microsoft's Surface Pro and Surface Laptop devices, after recent price increases meant the existing consumer models are now $500 more expensive than their original starting price. The max configuration for the 13.8-inch Surface Pro 8 will include a Core Ultra 7, 64GB of RAM, and 1TB of storage for $4,299.99. A similar version of the 15-inch model (with an x7 processor) will be priced at $4,499.99.
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How Owners of EVs from Bankrupt Fisker Saved Their Cars With an Open Source Nonprofit
An anonymous reader shared this report from Electrek:When Fisker Inc. filed for Chapter 11 bankruptcy in June 2024, it left roughly 11,000 Ocean SUV owners holding the keys to vehicles that cost them anywhere from $40,000 to $70,000 — and that were rapidly losing the software brains that made them work. No more over-the-air updates. No more connected services. No more warranty. The manufacturer was dead. What happened next is one of the most remarkable stories in the history of the electric vehicle industry. Instead of accepting that their cars would become rolling paperweights, Fisker Ocean owners organized, reverse-engineered their vehicles' proprietary software, hacked into CAN bus networks, built open-source tools on GitHub, and effectively stood up a volunteer-run open-sourced car company from the ashes of Fisker...Within months of the bankruptcy filing, thousands of Ocean owners formed the Fisker Owners Association (FOA) — a nonprofit that quickly grew to 4,000 members and began operating as something between a car club, a tech startup, and an independent automaker. The FOA hired independent tech experts who began reverse-engineering Fisker's proprietary software patches. Members taught each other how to flash firmware. They organized bulk purchases of replacement parts — negotiating the price of key fobs down from roughly $1,000 each to a fraction of that through coordinated group buys. They hosted free global key fob pairing events, saving each owner $100 to $250... What started as desperate troubleshooting has evolved into a genuine open-source ecosystem around the Fisker Ocean. On GitHub, a developer named MichaelOE reverse-engineered the API behind Fisker's official "My Fisker" mobile app and built a Home Assistant integration that exposes every cloud API value as a sensor — with all the app's buttons available as Home Assistant controls... [Community members have also been systematically mapping CAN bus files.] The article noes this "is not an isolated incident. Nikola also filed for bankruptcy, leaving its owners in a similar bind. Canoo and Arrival are headed for liquidation auctions..."Consumer advocates are now pushing for structural changes: mandatory software escrow funds that would keep vehicle software running even if the manufacturer disappears, open-source mandates in bankruptcy proceedings, and shared repair data requirements... European automakers, meanwhile, are moving in a different direction entirely — Volkswagen, BMW, Mercedes-Benz, and eight suppliers signed a memorandum in 2025 to develop a shared open-source automotive software platform.... The Fisker Owners Association has proven that a dedicated community can keep orphaned EVs on the road. But they shouldn't have had to... [O]wners shouldn't need to become hackers and parts brokers and quasi-manufacturers just to keep driving the cars they already paid for.
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Some Datacenters Divert Power from Homes. Will It Drive Homeowners to Solar and Batteries?
An anonymous reader shared this report from Electrek: A Nevada utility just told 49,000 Lake Tahoe residents that it's redirecting 75% of their electricity supply to data centers, and they have less than a year to find a new power source. It's one of the starkest examples yet of the AI boom's impact on everyday Americans... NV Energy needs the capacity for data centers being built by Google, Apple, and Microsoft around the Tahoe-Reno Industrial Center east of Reno, according to Fortune... Data centers drove half of all US electricity demand growth last year.... That dynamic — small residential customers losing out to massive industrial electricity buyers — is exactly what's driving the broader shift to distributed solar and storage. When the grid becomes unreliable or unaffordable because of data center demand, the homeowners who have solar panels and a battery in the garage are the ones with options. "The shift is measurable," they argue:Third-party ownership models (leases and power purchase agreements), which still qualify for the [U.S.] commercial investment tax credit through 2027, are projected to grow 25% in 2026 and capture up to 69% of residential installations, up from roughly 45% in 2025. Homeowners aren't waiting for incentives to come back — they're finding new ways to get solar on their roofs... [A] battery that can store cheap solar energy and deploy it during peak hours is increasingly essential. California utility customers alone are adding roughly 8,000 new home batteries per month — about 100 MW of new storage capacity. Municipal programs are accelerating the trend. Ann Arbor, Michigan, recently became the first US city to directly deploy solar and battery systems on 150 homes through its city-owned utility. Vermont's Green Mountain Power is offering home batteries at little to no upfront cost. These programs signal that utilities themselves recognize the value of distributed energy.
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Japan Runs Out of Robot Wolves In Fight Against Bears
Japan's worsening bear problem has created a shortage of handmade "Monster Wolf" robots, which are $4,000 solar-powered scarecrow-like devices with glowing eyes, sensors, and blaring sounds designed to frighten the animals away. "We make them by hand. We cannot make them fast enough now. We are asking our customers to wait two to three months," company president Yuji Ohta recently told the AFP. Popular Science reports: First released in 2016 by the manufacturer Ohta, Monster Wolf was originally designed to ward off the agricultural foes like boars, deer, and the island nation's Asian black bear (Ursus thibetanus) and brown bear (Ursus arctos) populations. The creative solution quickly went viral for its red LED eyes and menacing fangs -- as well as its admittedly odd, furry pipe frame. Starting at around $4,000, each bespoke Monster Wolf is now equipped with battery power, solar panels, and detection sensors. Its speakers are programmed with over 50 audio clips including human voices and sirens audible over half a mile away. These aren't assembly line products, however. Each Monster Wolf is custom made, and Ohta simply can't keep up with the current demand. [...] Ohta told the AFP that amid the ongoing crisis, there has been "growing recognition" that Monster Wolf is "effective in dealing with bears." The main customer base remains farmers, but orders are also coming from golf courses and rural workers. Upgraded versions will soon include wheels to actually chase animals and patrol preset routes. There are also plans to release a handheld version for outdoor enthusiasts and schoolchildren. Until Ohta catches up with its orders, residents and visitors are encouraged to review the Japanese government's own bear safety tips.
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Kioxia and Dell Cram Nearly 10PB Into a Single 2U Server
BrianFagioli writes: Kioxia and Dell Technologies say they have built a 2U server configuration capable of scaling to 9.8PB of flash storage, which is the sort of density that would have sounded impossible just a few years ago. The setup combines a Dell PowerEdge R7725xd Server with 40 Kioxia LC9 Series 245.76TB NVMe SSDs and AMD EPYC processors. According to Kioxia, matching the same capacity with more common 30.72TB SSDs would require seven additional servers and another 280 drives. The companies are pitching the hardware squarely at AI and hyperscale workloads, where storage is rapidly becoming a bottleneck alongside compute. Kioxia claims the denser configuration can dramatically reduce power consumption and rack space requirements while remaining air cooled. The announcement also highlights how quickly enterprise storage capacities are escalating as organizations race to support larger AI models, massive datasets, and increasingly demanding data pipelines.
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AMD Is Bringing Improved FSR 4 Upscaling To Its Older GPUs
AMD says FSR 4.1 will finally bring its newer hardware-accelerated upscaling technology to older Radeon GPUs. "The rollout will begin in July with RDNA3- and 3.5-based GPUs, which include the Radeon RX 7000 series, as well as integrated GPUs like the Radeon 890M and Radeon 8060S," reports Ars Technica. "In 'early 2027,' support will also be extended to the RDNA2 architecture, which includes the Radeon RX 6000 series, integrated GPUs like the Radeon 680M, and the Steam Deck's GPU. This would also open the door to supporting FSR 4 on the PlayStation 5 and Xbox Series X and S, all of which also use RDNA2-based GPUs." From the report: [AMD Computing and Graphics SVP Jack Huynh's] short video presentation didn't get into performance comparisons, but did mention that AMD had to work to get FSR 4's superior hardware-backed upscaling working on its older graphics architectures. RDNA4 includes AI accelerators that support the FP8 data format in the hardware, and porting FSR 4 to older GPUs meant getting it running on the integer-based INT8 hardware in the RDNA3 and RDNA2-based GPUs. This may mean that FSR 4.1 running on an RDNA3 or RDNA2-based GPU may come with a larger performance hit relative to RDNA4 cards, or that image quality may differ slightly. Modders have already worked to get FSR4 working on INT8-supporting GPUs, and the older GPUs reportedly see a 10 to 20 percent performance hit relative to FSR 3.1 running on the same hardware. AMD's official implementation may or may not improve on these numbers. [...] Any games that support FSR 4 should be able to support FSR 4.1 running on Radeon 7000-series cards; users will presumably be able to install a driver update in July that enables the new feature. Games that support the older FSR 3.1 can also be forced to use FSR 4 in the Radeon graphics driver.
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The Era of 15GB Free Gmail Storage Is Ending
Google has confirmed it is testing a 5GB storage limit for some new Gmail accounts, with users able to unlock the standard 15GB by adding a phone number. Android Authority reports: While the company didn't mention which regions are impacted, user reports from yesterday were mostly from African countries. That said, if Google's tests prove successful, this could possibly become the norm for new sign-ups in more regions. The company could be testing ways to discourage users from creating multiple Gmail accounts to access free cloud storage. However, if you already have a Gmail account with 15GB free storage, it shouldn't be impacted by this change. The language on Google's support page mentions "up to 15GB of storage." However, it's a recent change. An archived version of the support page from February did not use the words "up to." Whether the test has been running since early March or Google updated its language before it ever started the test, it's evident that the company could roll out the change globally as well.
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US Clears H200 Chip Sales To 10 China Firms
Longtime Slashdot reader schwit1 shares a report from CNBC: The U.S. has cleared around 10 Chinese firms to buy Nvidia's second-most powerful AI chip, the H200, but not a single delivery has been made so far, three people familiar with the matter said, leaving a major technology deal in limbo as CEO Jensen Huang seeks a breakthrough in China this week. [...] Before U.S. export curbs tightened, Nvidia commanded about 95% of China's advanced chip market. China once accounted for 13% of its revenue, and Huang has previously estimated the country's AI market alone would be worth $50 billion this year. The U.S. Commerce Department has approved around 10 Chinese companies including Alibaba, Tencent, ByteDance and JD.com to purchase Nvidia's H200 chips, according to the sources, who spoke on condition of anonymity due to the sensitivity of the matter. A handful of distributors including Lenovo and Foxconn have also been approved, they said. Buyers are permitted to purchase either directly from Nvidia or through those intermediaries and each approved customer can purchase up to 75,000 chips under the U.S. licensing terms, two of them said. Despite U.S. approval, deals have stalled, as Chinese firms pulled back after guidance from Beijing, one source said. The shift in China was partly triggered by changes on the U.S. side, though exactly what changed remains unclear, the person added. In Beijing, pressure is mounting to block or tightly vet the orders, a separate fourth source said. Commerce Secretary Howard Lutnick echoed that view, telling a Senate hearing last month that "the Chinese central government has not let them, as of yet, buy the chips, because they're trying to keep their investment focused on their own domestic industry."
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Man Who Stole Beyonce's Hard Drives Gets Five-Year Sentence
A man accused of stealing hard drives containing unreleased Beyonce music, tour plans, and other materials from a rental car in Atlanta has pleaded guilty and accepted a five-year sentence, including two years in custody. Slashdot Bruce66423 shares a report from The Guardian: Kelvin Evans was by the Atlanta police department in September in connection to a July 2025 car robbery where two suitcases containing Beyonce music and tour plans were stolen from a rental car. [...] According to a July police report, Beyonce choreographer Christopher Grant and dancer Diandre Blue called 911 to report a theft from their rental vehicle, a 2024 Jeep Wagoneer, before Beyonce's Cowboy Carter tour dates in Atlanta. An October indictment stated that Evans entered the car on July 8 "with the intent to commit theft." The stolen hard drives contained "watermarked music, some unreleased music, footage plans for the show and past and future set list," according to a police report. Clothing, designer sunglasses, laptops and AirPods headphones were also stolen, Grant and Blue said. Local law enforcement searched for the location of one of the stolen laptops and the AirPods to try and locate the property. One police officer wrote in the report: "I conducted a suspicious stop in the area, due to the information that was relayed to me. There were several cars in the area also that the AirPods were pinging to in that area also. After further investigation, a silver [redacted], which had traveled into zone 5 was moving at the same time as the tracking on the AirPods." Evans was arrested several weeks after Grant and Blue filed a report, and was publicly named as the suspect in September. He was released on a $20,000 bond a month later. At the time of his arrest, Atlanta police said that the stolen property had not been recovered. It is unclear whether it has since been found. Bruce66423 commented: "Just for stealing a couple of suitcases from a car. Funny how the elite punish those who inconvenience them. Can you imagine an ordinary victim see their offender get that sort of sentence?"
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SOLAI Launches $399 Solode Neo Linux AI Computer
BrianFagioli writes: SOLAI has launched the Solode Neo, a $399 Linux-based mini PC designed for always-on AI agents, browser automation, and persistent developer workflows. The compact system ships with an Intel N150 processor, 12GB LPDDR5 memory, 128GB SSD storage, Gigabit Ethernet, WiFi, Bluetooth, and a Linux-based operating system called Solode AI OS. The company says the device supports frameworks and tools including Claude Code, OpenAI Codex, Gemini CLI, and Hermes, while emphasizing local control, automation, and privacy-focused workflows running directly from a home network. While SOLAI markets the Solode Neo as an "AI computer," the hardware itself appears aimed more at lightweight automation and cloud-assisted agent tasks than heavy local inference. The low-power Intel N150 should be sufficient for browser automation, scheduling, monitoring, containers, and smaller AI workloads, but the system is unlikely to compete with higher-end local AI hardware designed for running larger models offline. Even so, the idea of a dedicated low-power Linux appliance for persistent AI and automation tasks may appeal to homelab users and self-hosting enthusiasts looking for a simpler alternative to building their own always-on workflow box from scratch.
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Microsoft's $1 Billion AI Data Center Will 'Switch Off Half of Kenya'
Microsoft and G42's planned $1 billion AI data center in Kenya has stalled amid disagreements over power commitments, with President William Ruto saying the country would need to "switch off half the country" to support the project at full scale. Tom's Hardware reports: The project, announced in May 2024 during Ruto's visit to Washington, was supposed to bring a geothermal-powered data center to the Olkaria region in Kenya's Rift Valley. G42 was to lead construction, with the facility running Microsoft Azure in a new East Africa cloud region. The first phase targeted 100 megawatts of capacity and was expected to be operational by this year, with a long-term goal of scaling to 1 gigawatt. President Ruto isn't exaggerating about shutting off half the country's power. Kenya's total installed electricity capacity sits between 3,000 and 3,200 megawatts, and peak demand reached a record 2,444 megawatts in January, according to data from KenGen, the country's government-owned electricity producer. The full 1 gigawatt build would therefore have consumed roughly a third of the country's total capacity, and even the first 100 megawatts would have required a significant share of the Olkaria geothermal complex's output, which currently generates around 950MW across all its plants. John Tanui, principal secretary at Kenya's Ministry of Information, told Bloomberg that the project hasn't been withdrawn and that talks are continuing, adding that the "scale of the data center they [Microsoft] wanted to do still requires some structuring." A separate 60-megawatt project with local developer EcoCloud is also still under discussion. [...] Microsoft is spending $190 billion on capex in 2026, and the company adds approximately 1 gigawatt of data center capacity every three months globally. But power constraints are proving to be a universal bottleneck: nearly half of planned U.S. data center builds this year have been delayed or canceled due to shortages of electrical infrastructure.
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CUDA Proves Nvidia Is a Software Company
Nvidia's real AI moat isn't "a piece of hardware," writes Wired's Sheon Han. It's CUDA: a mature, deeply optimized software ecosystem that keeps machine-learning workloads tied to Nvidia GPUs. An anonymous reader quotes a report from Wired: What sounds like a chemical compound banned by the FDA may be the one true moat in AI. CUDA technically stands for Compute Unified Device Architecture, but much like laser or scuba, no one bothers to expand the acronym; we just say "KOO-duh." So what is this all-important treasure good for? If forced to give a one-word answer: parallelization. Here's a simple example. Let's say we task a machine with filling out a 9x9 multiplication table. Using a computer with a single core, all 81 operations are executed dutifully one by one. But a GPU with nine cores can assign tasks so that each core takes a different column -- one from 1x1 to 1x9, another from 2x1 to 2x9, and so on -- for a ninefold speed gain. Modern GPUs can be even cleverer. For example, if programmed to recognize commutativity -- 7x9 = 9x7 -- they can avoid duplicate work, reducing 81 operations to 45, nearly halving the workload. When a single training run costs a hundred million dollars, every optimization counts. Nvidia's GPUs were originally built to render graphics for video games. In the early 2000s, a Stanford PhD student named Ian Buck, who first got into GPUs as a gamer, realized their architecture could be repurposed for general high-performance computing. He created a programming language called Brook, was hired by Nvidia, and, with John Nickolls, led the development of CUDA. If AI ushers in the age of a permanent white-collar underclass and autonomous weapons, just know that it would all be because someone somewhere playing Doom thought a demon's scrotum should jiggle at 60 frames per second. CUDA is not a programming language in itself but a "platform." I use that weasel word because, not unlike how The New York Times is a newspaper that's also a gaming company, CUDA has, over the years, become a nested bundle of software libraries for AI. Each function shaves nanoseconds off single mathematical operations -- added up, they make GPUs, in industry parlance, go brrr. A modern graphics card is not just a circuit board crammed with chips and memory and fans. It's an elaborate confection of cache hierarchies and specialized units called "tensor cores" and "streaming multiprocessors." In that sense, what chip companies sell is like a professional kitchen, and more cores are akin to more grilling stations. But even a kitchen with 30 grilling stations won't run any faster without a capable head chef deftly assigning tasks -- as CUDA does for GPU cores. To extend the metaphor, hand-tuned CUDA libraries optimized for one matrix operation are the equivalent of kitchen tools designed for a single job and nothing more -- a cherry pitter, a shrimp deveiner -- which are indulgences for home cooks but not if you have 10,000 shrimp guts to yank out. Which brings us back to DeepSeek. Its engineers went below this already deep layer of abstraction to work directly in PTX, a kind of assembly language for Nvidia GPUs. Let's say the task is peeling garlic. An unoptimized GPU would go: "Peel the skin with your fingernails." CUDA can instruct: "Smash the clove with the flat of a knife." PTX lets you dictate every sub-instruction: "Lift the blade 2.35 inches above the cutting board, make it parallel to the clove's equator, and strike downward with your palm at a force of 36.2 newtons." "You can begin to see why CUDA is so valuable to Nvidia -- and so hard for anyone else to touch," writes Han. "Tuning GPU performance is a gnarly problem. You can't just conscript some tender-footed undergrad on Market Street, hand them a Claude Max plan, and expect them to hack GPU kernels. Writing at this level is a grindsome enterprise -- unless you're a cracker-jack programmer at DeepSeek..." Han goes on to argue that rivals like AMD and Intel offer competitive specs on paper, but their software stacks have struggled with bugs, compatibility issues, and weak adoption. As a result, Nvidia has built an Apple-like moat around AI computing, leaving the industry dependent on its expensive hardware.
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Ford's Electrified Vehicle Sales Dropped 31% in April From One Year Ago
Ford's sales of electrified vehicles — including hybrids and all-electric models — dropped 31% from April 2025, reports Electrek. "Hybrid sales fell 32% to 15,758 vehicles, while EV sales continued to crash with just 3,655 all-electric models sold last month, 25% fewer than in the year prior."After discontinuing the F-150 Lightning in December, sales of the electric pickup have been in free fall. Ford sold just 884 Lightnings last month, 49% less than it did last April. The Mustang Mach-E isn't doing much better. Sales fell another 9% year over year in April, to just 2,670 models last month. Through the first four months of 2026, Ford's EV sales have fallen 61% from last year, with F-150 Lightning and Mustang Mach-E sales down 67% and 50%, respectively. Ford has sold just over 10,500 electric vehicles in total so far this year... For comparison, Toyota sold just over 10,000 bZ models in the first quarter alone. That's more than Ford's total EV sales in Q1. April was Ford's fourth straight month of lower sales figures from 2025, the article points out. So Ford is bringing back "employee pricing" discounts on most new 2025 and 2026 Ford and Lincoln vehicles., while also offering "purchase incentives" of up to $9,000 for 2025 Lightning models and up to $6,000 for 2025 Mustang Mach-Es. "It's also offering EV buyers a free Level 2 home charger, 24/7 live support, and proactive roadside assistance through its Power Promise program."
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Open Source Project Shuts Down Over Legal Threats from 3D Printer Company Bambu Lab
The free/open source project OrcaSlicer is a popular fork of 3D printer slicing software from Bambu Lab. But Tuesday independent developer Pawel Jarczak shuttered the project "following legal threats from Bambu Lab," reports Tom's Hardware:Jarczak's fork of OrcaSlicer would have allowed users to bypass Bambu Connect, a middleware application that severely limits OrcaSlicer's access to remote printer functions in the name of security. Jarczak said in a note on GitHub that Bambu Lab threatened him with a cease and desist letter and accused him of reverse engineering its software in order to impersonate Bambu Studio. From Bambu Lab's blog post:Bambu Studio is an open-source project under the AGPL-3.0 license. Anyone can take its code, modify it, and distribute it... That's what OrcaSlicer does, and 734 other forks do as well. We have no issue with that and never have. At the same time, a license for code is not a pass to our cloud infrastructure... Our cloud is a private service. Access to it is governed by a user agreement, not the AGPL license... [T]he modification in question worked by injecting falsified identity metadata into network communication. In simple terms: it pretended to be the official Bambu Studio client when communicating with our servers... If this method were widely adopted or incorrectly configured, thousands of clients could simultaneously hit our servers while impersonating the official client. "User-Agent is not authentication," counters OrcaSlicer's developer. "It is only self-declared client metadata. Any program can set any User-Agent." And "the User-Agent construction comes directly from Bambu Lab's own public AGPL Bambu Studio code.... So on what basis can anyone claim that I am not allowed to use this specific part of AGPL-licensed code under the AGPL license...? My work was based on publicly available Bambu Studio source code together with my own integration layer." But the bottom line is that Bambu Lab "contacted me directly and demanded removal of the solution."I asked whether I could publish the private correspondence in full for transparency. That request was refused... They also referred to legal materials and stated that a cease and desist letter had been prepared... I removed the repository voluntarily. That removal should not be interpreted as an admission that all legal or technical allegations made against the project were correct. I removed it because I have no interest in maintaining a prolonged dispute around this particular implementation, and no interest in continuing to distribute it. YouTuber and right-to-repair advocate Louis Rossmann reviewed the correspondence from Bambu Lab — then pledged $10,000 for legal expenses if the developer returned his code online. ("I think that their legal claim is bullshit," Rossman said Saturday in a YouTube video for his 2.5 million subscribers. "I'm not a lawyer, but I'm willing to put my money where my mouth is.") The video now has over 129,000 views so far. "Rossman has not started a crowdfunding site yet," Tom's Hardware notes, "stating in the comments that he wants to prove to Jarczak that he has supporters willing to put their money where their mouth is. The video had over 129,000 views so far, with commenters vowing to back the case as requested."
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