An anonymous reader quotes a report from Ars Technica: A public pool in the UK is expected to save [about $24,000] and cut carbon emissions by 25.8 tons annually by warming a 25-meter children's pool with waste heat from a data center from startup Deep Green. UK-based Deep Green is a newcomer in the data-center heat game and is making its entrance notable by putting a monetary figure on potential savings, which are fueled by the heat's low, low rate of free. Deep Green's paying customers are machine-learning and AI firms seeking computing resources. As reported by Datacenter Dynamics on Tuesday, clients can leverage Deep Green's 28 kW system with high-performance computing (HPC) capabilities. The HPC cluster at the Exmouth Leisure Centre swimming pool has 12 four-CPU cards and could eventually be used for cloud services and video rendering, Deep Green CEO Mark Bjornsgaard told the publication. According to the BBC , the server is about the size of a washing machine.

The computers are submerged in mineral oil that captures heat that gets transferred into pool water with a heat exchanger. The pool still has a gas boiler to boost the water's temperature if required. Deep Green claims it's transferring about 96 percent of the energy used by its computers and reducing a pool's gas heat usage by 62 percent. Deep Green is paying the Exmouth Leisure Centre for all the electricity its data center uses, as well as any setup costs, and the Exmouth Leisure Centre gets the heat for free.

Deep Green CTO Mat Craggs told Datacenter Dynamics: "Our expected heat transfer from the kit is 139,284 kWh a year, equivalent to 62 percent of the pool's heat needs." He noted that adding more servers to the tub could extend the figure to 70 or 80 percent. Deep Green's data center can heat the Exmouth Leisure Centre's 25 meter pool to 86 degrees Fahrenheit for about 60 percent of the time, BBC reported. The startup has plans to set up data centers in seven more UK locations and has a 2023 target of 20 locations.

An anonymous reader quotes a report from Ars Technica: The creators of the all-open source MNT Reform laptop are getting nearer to launching its handheld counterpart: The crowdfunding campaign for the 7-inch MNT Pocket Reform has officially launched and is also serving as a de-facto preorder system for the device. The cheapest version of the Pocket Reform starts at $899, and it's also being offered in purple for $969 or in a bundle with a 1TB SSD, carrying case, handbook, and poster for $1,299. All versions are currently slated to ship in mid-October.

Like the full-size Reform, the pocket version uses open source hardware and a mechanical keyboard (buyers can choose either white or red Kalih switches). But the pocket version uses a 7-inch 1920x1200 LCD screen instead of a 12.5-inch version and comes with fewer and smaller ports (two USB-C, one micro HDMI, a microSD port, and one ix industrial mini Ethernet port). Its keyboard also comes with an individually programmable RGB backlight, and its trackball-style pointing device has been downsized to fit into the smaller design. The Pocket Reform also includes built-in Wi-Fi and Bluetooth, 128GB of built-in eMMC storage, and an expansion slot for 4G cellular connectivity. The device will also boot from microSD cards or an NVMe SSD installed in the device's M.2 slot. Its 8000 mAh batteries will allow it to run for about four hours. MNT warns in its blog post that "risks and challenges" could delay the October shipping timeline:

"Pocket Reform has hundreds of electronic components. We tried to pick them so that there will be enough stock when we get around to manufacturing the boards, but it's always possible that there could be a sudden component shortage or increase in price. If that should happen, we would have to re-engineer the affected PCB and exchange the part, causing a delay in continued production. We had to adapt our products several times during the global chip crisis, so we are confident that we'll be able to work around any difficulties. Should any situation arise that would delay the estimated shipping timeline, backers will be informed promptly via project updates."

An anonymous reader quotes a report from Ars Technica: Today, the federal government's Joint Office of Energy and Transportation opened up applications for a $2.5 billion program to expand electric vehicle charging infrastructure in underserved communities. The Charging and Fueling Infrastructure Discretionary Grant Program was authorized along with the $5 billion National Electric Vehicle Infrastructure Formula Program as part of the Infrastructure Investment and Jobs Act of 2021. For starters, the Joint Office is making $700 million available for EV chargers -- but also other alternative fuels including hydrogen and natural gas.

The CFI program actually encompasses two discrete $1.25 billion grant programs. The first is for community charging and fueling grants in both urban and rural areas, particularly in underserved and disadvantaged communities, including low- and moderate-income neighborhoods as well as neighborhoods with a low ratio of private parking. The other half of the money is for the alternative fuel corridor grants, which will fund the deployment of EV chargers and other alternative fuel infrastructure along designated alternative fuel corridors. "It's critical that we build a national charging network that provides EV drivers with the right type of charging in the right location -- whether that's high-powered charging on highway corridors and in urban hubs or Level 2 charging where EV drivers or riders live, work, and play," said Joint Office Executive Director Gabe Klein. "By working with cities and communities through the CFI Program to get this mix right, we can ensure that everyone has convenient and affordable access to riding and driving electric."

When Microsoft invested $1 billion in OpenAI in 2019, it agreed to build a massive, cutting-edge supercomputer for the artificial intelligence research startup. The only problem: Microsoft didn't have anything like what OpenAI needed and wasn't totally sure it could build something that big in its Azure cloud service without it breaking. From a report: OpenAI was trying to train an increasingly large set of artificial intelligence programs called models, which were ingesting greater volumes of data and learning more and more parameters, the variables the AI system has sussed out through training and retraining. That meant OpenAI needed access to powerful cloud computing services for long periods of time. To meet that challenge, Microsoft had to find ways to string together tens of thousands of Nvidia's A100 graphics chips -- the workhorse for training AI models -- and change how it positions servers on racks to prevent power outages. Scott Guthrie, the Microsoft executive vice president who oversees cloud and AI, wouldn't give a specific cost for the project, but said "it's probably larger" than several hundred million dollars. [...] Now Microsoft uses that same set of resources it built for OpenAI to train and run its own large artificial intelligence models, including the new Bing search bot introduced last month. It also sells the system to other customers. The software giant is already at work on the next generation of the AI supercomputer, part of an expanded deal with OpenAI in which Microsoft added $10 billion to its investment.

"Twelve years after the triple reactor meltdowns at the Fukushima Daiichi nuclear power plant, Japan is preparing to release a massive amount of treated radioactive wastewater into the sea," writes the Associated Press. "Japanese officials say the release is unavoidable and should start soon.

"Dealing with the wastewater is less of a challenge than the daunting task of decommissioning the plant. That process has barely progressed, and the removal of melted nuclear fuel hasn't even started." Massive amounts of fatally radioactive melted nuclear fuel remain inside the reactors. Robotic probes have provided some information but the status of the melted debris is largely unknown. kira Ono, who heads the cleanup as president of TEPCO's decommissioning unit, says the work is "unconceivably difficult."

Earlier this year, a remote-controlled underwater vehicle successfully collected a tiny sample from inside Unit 1âs reactor — only a spoonful of about 880 tons of melted fuel debris in the three reactors. That's 10 times the amount of damaged fuel removed at the Three Mile Island cleanup following its 1979 partial core melt.

Trial removal of melted debris will begin in Unit 2 later this year after a nearly two-year delay. Spent fuel removal from Unit 1 reactor's cooling pool is to start in 2027 after a 10-year delay. Once all the spent fuel is removed the focus will turn in 2031 to taking melted debris out of the reactors.... The government has stuck to its initial 30-40 year target for completing the decommissioning, without defining what that means....

Some experts say it would be impossible to remove all the melted fuel debris by 2051.
Meanwhile, groundwater is creating 130 tons of contaminated water each day, according to the article. The tanks holding that water "are 96% full and expected to reach their capacity of 1.37 million tons in the fall."

"Based on initial data review, vehicle is healthy," Relativity Space tweeted today. "More info to follow on cause of aborts today. Thanks for playing."

Remaining back on the launchpad is the largest 3D printed object ever to exist. And they're still hoping to launch it into space.

They'd planned a launch this morning from Cape Canaveral, Florida of a 110-foot rocket (33.5 meters) on a mission they're calling GLHF — "Good Luck, Have Fun".

The rocket's makers — California-based Relativity Space — call it "the world's first 3D printed rocket." A full 85% of the rocket's weight comes from 3D printed parts, explains Wired, and "only the computing system, electronics, and readily available parts like fasteners were not." Named Terran 1, the 7.5-foot-wide rocket (2.2 meters) inaugurates the company's ambitious plans for 3D printing in space: Relativity Space wants to use Terran 1 to (comparatively) cheaply lift satellites for other companies and NASA into Earth orbit. It also plans to construct Terran R, a larger, more powerful, fully reusable rocket that the company hopes will compete with SpaceX's Falcon 9, which has a smaller payload capacity and only reuses the rocket's first stage. In late 2024, Relativity plans to test using Terran R to launch payloads to Mars; another startup, Impulse Space, will provide the lander.
From the company's web site: Like its structure, all Relativity engines are 3D printed and use liquid oxygen and liquid natural gas, which are not only the best for rocket propulsion, but also for reusability, and the easiest to eventually transition to methane on Mars.
The tagline for the company's Twitter feed says they're "Building humanity's multiplanetary future." And excitement is running high, reports Spaceflight Now" "There are a number of firsts here potentially on this rocket," said Josh Brost, vice president of revenue operations at Relativity Space....

"Hard to believe the day is nearly here to launch Terran 1, our first rocket!" Tim Ellis, co-founder and CEO of Relativity Space tweeted Tuesday....

The company now boasts some 1,000 employees, a million-square-foot headquarters and factory in Long Beach, California, and $1.3 billion in venture capital and equity fundraising, including an early $500,000 investment from billionaire Mark Cuban. In 2021, the company reached a valuation of $4.2 billion before launching any rockets....

"No new company has ever had their liquid rocket make it to space on their first attempt," Brost, also a former engineer and manager at SpaceX, told Spaceflight Now in a pre-launch interview. "So if everything goes incredibly well, and we achieve orbit on our first launch ... that would be a remarkable milestone for us, which we would be, of course, over the moon excited about. But that doesn't define success for us."
Wired adds that they're not the only company working on space-related 3D printing: Australia's Fleet Space has already been producing lightweight, 3D-printed radio frequency antennas for satellites. Next year, using printers half the size of a bus, they plan to create a satellite constellation called Alpha that will be entirely 3D-printed.... Flavia Tata Nardini, the company's CEO, believes space-based 3D printing is coming next. "In my ideal future, in 10 to 15 years, I won't have to launch satellites from here; I can build them up there."

On March 1st, a European Union regulation went into effect that effectively bans 8K TVs. This is because they exceed the new lower Energy Efficiency Index (EEI) limit that set the maximum power consumption level for all TVs at 90W, which is significantly lower than the 190W that new 8K TVs can consume. According to Tom's Guide, Samsung "seems to have already developed a workaround for this 8K TV ban." From the report: The ban is specifically based on the EEI power consumption numbers, so if you can manufacture an 8K TV that consumes less than 90W then you are in the clear. Because of this loophole, Samsung has decided to ship its 8K TVs with low-powered default settings. According to AV Magazine, the new Samsung 8K TVs will come out of the box with a "brightness-limiting eco mode" as the default brightness setting. This will allow the TVs to still meet the EEI limit while maintaining their 8K resolution.

But does this mean that Europeans will be limited to low brightness settings if they want 8K resolution? Turns out, the answer to that is, no. The E.U. regulation requires that the TVs be energy efficient out of the box, but once users have them set up, they can change to a higher brightness setting and watch to their heart's content, even though their 8K TV will now consume more power than the 90W limit set by the EEI. Other manufacturers will likely find workarounds for the E.U. regulations if Samsung's workaround is successful [...].

williamyf writes: The fine folks at Backblaze have published their first ever report that includes their SSD fleet. To the surprise of no one, SSDs are more more reliable (0.98% AFR) than HDDs (1.64% AFR). The surprising thing thing was how small the difference is (0.66% AFR).

A TL;DR article by well regarded storage reporter Chris Mellor is here. Also worthy of note: S.M.A.R.T. attribute usage among SSD makers is neither standardized, nor very smart:

"Klein notes that the SMART (Self-Monitoring, Analysis, and Reporting Technology) used for drive state reporting is applied inconsistently by manufacturers. "Terms like wear leveling, endurance, lifetime used, life used, LBAs [Logical Block Address] written, LBAs read, and so on are used inconsistently between manufacturers, often using different SMART attributes, and sometimes they are not recorded at all."

That means you can't use such SMART statistics to make valid comparisons between the drives. "Come on, manufacturers. Standardize your SMART numbers."

An anonymous reader quotes a report from Ars Technica: HP customers are showing frustration online as the vendor continues to use firmware updates to discourage or, as users report, outright block the use of non-HP-brand ink cartridges in HP printers. HP has already faced class-action lawsuits and bad publicity from "dynamic security," but that hasn't stopped the company from expanding the practice. Dynamic security is a feature used by HP printers to authenticate ink cartridges and prevent use of cartridges that aren't HP-approved. As the company explains: "Dynamic security relies on the printer's ability to communicate with the security chips or electronic circuitry on the cartridges. HP uses dynamic security measures to protect the quality of our customer experience, maintain the integrity of our printing systems, and protect our intellectual property. Dynamic security equipped printers are intended to work only with cartridges that have new or reused HP chips or electronic circuitry. The printers use the dynamic security measures to block cartridges using non-HP chips or modified or non-HP electronic circuitry. Reused, remanufactured, and refilled cartridges that reuse the HP chip or electronic circuitry are unaffected by dynamic security."

HP is set on continuing to use DRM to discourage its printer customers from spending ink and toner money outside of the HP family. "HP have updated their printers to outright ban 'non-HP' ink! They no longer shows the 'can't guarantee quality' message, but instead cancels your print completely until you inset a HP ink cartridge," Reddit user grhhull posted Tuesday. "After contacting HP, they advised 'this is due to the recent 'update' of all printers.'" It's unclear when HP issued updates for which model printers, but there are alleged customer complaints online stemming from late last year, showing plenty of customers surprised their printer no longer worked with non-HP ink cartridges after an update. Some pointed to third-party brands they had relied on for years.

HP community support threads include complaints about the OfficeJet 7740 and OfficeJet Pro 6970. HP lists both printers, as well as others, as able to circumnavigate dynamic security under specific conditions. However, HP's support page states this only applies to models manufactured before December 1, 2016. For more examples, there are comments on HP's support community suggesting that HP's OfficeJet 6978 and 6968 were recently affected. Both printers are discontinued, but HP's product pages make it clear that the fickle nature of dynamic security means that third-party ink could stop working at any time. And HP's dynamic security page also leaves the door open for the sudden bricking of functioning ink: "Firmware updates delivered periodically over the internet will maintain the effectiveness of the dynamic security measures," the page reads. "Updates can improve, enhance, or extend the printer's functionality and features, protect against security threats, and serve other purposes, but these updates can also block cartridges using a non-HP chip or modified or non-HP circuitry from working in the printer, including cartridges that work today."

James Temple reports via MIT Technology Review: In late January, a geothermal power startup began conducting an experiment deep below the desert floor of northern Nevada. It pumped water thousands of feet underground and then held it there, watching for what would happen. Geothermal power plants work by circulating water through hot rock deep beneath the surface. In most modern plants, it resurfaces at a well head, where it's hot enough to convert refrigerants or other fluids into vapor that cranks a turbine, generating electricity. But Houston-based Fervo Energy is testing out a new spin on the standard approach -- and on that day, its engineers and executives were simply interested in generating data.

The readings from gauges planted throughout the company's twin wells showed that pressure quickly began to build, as water that had nowhere else to go actually flexed the rock itself. When they finally released the valve, the output of water surged and it continued pumping out at higher-than-normal levels for hours. The results from the initial experiments -- which MIT Technology Review is reporting exclusively -- suggest Fervo can create flexible geothermal power plants, capable of ramping electricity output up or down as needed. Potentially more important, the system can store up energy for hours or even days and deliver it back over similar periods, effectively acting as a giant and very long-lasting battery. That means the plants could shut down production when solar and wind farms are cranking, and provide a rich stream of clean electricity when those sources flag.

There are remaining questions about how well, affordably, and safely this will work on larger scales. But if Fervo can build commercial plants with this added functionality, it will fill a critical gap in today's grids, making it cheaper and easier to eliminate greenhouse-gas emissions from electricity systems. "We know that just generating and selling traditional geothermal is incredibly valuable to the grid," says Tim Latimer, chief executive and cofounder of Fervo. "But as time goes on, our ability to be responsive, and ramp up and down and do energy storage, is going to increase in value even more."

An anonymous reader quotes a report from Ars Technica: On Monday, a group of AI researchers from Google and the Technical University of Berlin unveiled PaLM-E, a multimodal embodied visual-language model (VLM) with 562 billion parameters that integrates vision and language for robotic control. They claim it is the largest VLM ever developed and that it can perform a variety of tasks without the need for retraining. According to Google, when given a high-level command, such as "bring me the rice chips from the drawer," PaLM-E can generate a plan of action for a mobile robot platform with an arm (developed by Google Robotics) and execute the actions by itself.

PaLM-E does this by analyzing data from the robot's camera without needing a pre-processed scene representation. This eliminates the need for a human to pre-process or annotate the data and allows for more autonomous robotic control. It's also resilient and can react to its environment. For example, the PaLM-E model can guide a robot to get a chip bag from a kitchen -- and with PaLM-E integrated into the control loop, it becomes resistant to interruptions that might occur during the task. In a video example, a researcher grabs the chips from the robot and moves them, but the robot locates the chips and grabs them again. In another example, the same PaLM-E model autonomously controls a robot through tasks with complex sequences that previously required human guidance. Google's research paper explains (PDF) how PaLM-E turns instructions into actions.

PaLM-E is a next-token predictor, and it's called "PaLM-E" because it's based on Google's existing large language model (LLM) called "PaLM" (which is similar to the technology behind ChatGPT). Google has made PaLM "embodied" by adding sensory information and robotic control. Since it's based on a language model, PaLM-E takes continuous observations, like images or sensor data, and encodes them into a sequence of vectors that are the same size as language tokens. This allows the model to "understand" the sensory information in the same way it processes language. In addition to the RT-1 robotics transformer, PaLM-E draws from Google's previous work on ViT-22B, a vision transformer model revealed in February. ViT-22B has been trained on various visual tasks, such as image classification, object detection, semantic segmentation, and image captioning.

According to a report from Bloomberg's Mark Gurman, Apple is readying a new batch of Macs to launch "between late spring and summer." This includes a 15-inch MacBook Air and a new 24-inch iMac. From the report: Apple's next iMac desktop is at an advanced stage of development called engineering validation testing, or EVT, and the company is conducting production tests of the machine. The next iMac will continue to come in the same 24-inch screen size as the current model, which was announced in April 2021. The versions being tested also come in the same colors as the current iMac, a palette that includes blue, silver, pink and orange.

The new iMacs will, of course, be more powerful -- with a new M-series chip to replace the M1. There also will be some behind-the-scenes changes. The computer will see some of its internal components relocated and redesigned, and the manufacturing process for attaching the iMac's stand is different. While development of the new iMacs -- codenamed J433 and J434 -- has reached a late stage, it's not expected to go into mass production for at least three months. That means it won't ship until the second half of the year at the earliest. Still, this is a great development for anyone disappointed that Apple's all-in-one desktop hasn't been updated in nearly two years.

Aside from the iMac, Apple is scheduled to launch about three new Macs between late spring and summer, I'm told. Those three models are likely to be the first 15-inch MacBook Air (codenamed J515), the first Mac Pro with homegrown Apple chips (J180) and an update to the 13-inch MacBook Air (J513). The big remaining question is which processors these new Macs will run on. We already know the Mac Pro will include the M2 Ultra, which will provide up to 24 CPU cores, 76 graphics cores and the ability to top out the machine with at least 192 gigabytes of memory. We also know that Apple has developed the next iMac on the same timeline as the M3 chip, so I'd expect it to be one of the company's first M3-based machines.

An anonymous reader quotes a report from The Associated Press: A nuclear power plant in Georgia has begun splitting atoms in one of its two new reactors, Georgia Power said Monday, a key step toward reaching commercial operation at the first new nuclear reactors built from scratch in decades in the United States. The unit of Atlanta-based Southern Co. said operators reached self-sustaining nuclear fission inside the reactor at Plant Vogtle, southeast of Augusta. That makes the intense heat that will be used to produce steam and spin turbines to generate electricity.

A third and a fourth reactor were approved for construction at Vogtle by the Georgia Public Service Commission in 2009, and the third reactor was supposed to start generating power in 2016. The company now says Unit 3 could begin commercial operation in May or June. Unit 4 is projected to begin commercial operation sometime between this November and March 2024.

The cost of the third and fourth reactors was originally supposed to be $14 billion. The reactors are now supposed to cost more than $30 billion. That doesn't include $3.68 billion that original contractor Westinghouse paid to the owners after going bankrupt, which brings total spending to more than $34 billion. Georgia Power said Unit 3 would continue startup testing to show that its cooling system and steam supply system will work at the intense heat and pressure that a nuclear reactor creates. After that, operators are supposed to link the reactor to the electrical grid and gradually raise it to full power.

Intel has completed development of its Intel 18A (1.8nm-class) and Intel 20A (2nm-class) fabrication processes that will be used to make the company's own products, as well as chips for clients of its Intel Foundry Services (IFS) division, reports UDN. From a report: Wang Rui, president and chairman of Intel China, said at an event that the company had finalized the development of its Intel 18A (18 angstroms-class) and Intel 20A (20 angstroms-class) fabrication processes. This does not mean that the production nodes are ready to be used for commercial manufacturing, but rather that Intel has determined all specifications, materials, requirements, and performance targets for both technologies.

Intel's 20A fabrication technology will rely on gate-all-around RibbonFET transistors and will use backside power delivery. Shrinking metal pitches, introducing all-new transistor structure and adding backside power delivery at the same time is a risky move, but it is expected that 20A will allow Intel to leapfrog the company's competitors -- TSMC and Samsung Foundry. Intel plans to start using this node in the first half of 2024. Intel's 18A manufacturing process will further refine the company's RibbonFET and PowerVia technologies, as well as shrink transistor sizes. Development of this node is apparently going so well that Intel pulled in its introduction from 2025 to the second half of 2024. Intel originally planned to use ASML's Twinscan EXE scanners with a 0.55 numerical aperture (NA) optics for its 1.8 angstroms node, but because it decided to start using the technology sooner, it will have to rely on extensive use of existing Twinscan NXE scanners with 0.33 NA optics, as well as EUV double patterning.

Unprecedented access to space is leading to all sorts of cool new ideas, including the prospect of storing data on the lunar surface. Cloud computing startup Lonestar Data Holdings announced the results of its latest funding round, taking it one step closer to this very goal. Gizmodo reports: The Florida-based company raised $5 million in seed funding to establish lunar data centers, Lonestar announced in a press release on Monday. Lonestar wants to build a series of data centers on the Moon and establish a viable platform for data storage and edge processing (i.e. the practice of processing data near the source, as a means to reduce latency and improve bandwidth) on the lunar surface. "Data is the greatest currency created by the human race," Chris Stott, founder of Lonestar, said in an April 2022 statement. "We are dependent upon it for nearly everything we do and it is too important to us as a species to store in Earth's ever more fragile biosphere. Earth's largest satellite, our Moon, represents the ideal place to safely store our future."

In December 2021, Lonestar successfully ran a test of its data center on board the International Space Station. The company is now ready to launch a small data center box to the lunar surface later this year as part of Intuitive Machines's second lunar mission, IM-2 (the company's first mission, IM-1, is expected to launch in June). Intuitive Machines is receiving funding from NASA's Commercial Lunar Payload Services program for delivering research projects to the Moon as part of the space agency's Artemis program. The lunar data centers will initially be geared towards remote data storage and disaster recovery, allowing companies to back up their data and store it on the Moon. In addition, the data centers could assist with both commercial and private ventures to the lunar environment.

The miniature data center weighs about 2 pounds (1 kilogram) and has a capacity of 16 terabytes, Stott told SpaceNews. He said the first data center will draw power and communications from the lander, but the ones that will follow (pending its success) will be standalone data centers that the company hopes to deploy on the lunar surface by 2026. The test is only supposed to last for the duration of the IM-2 mission, which is expected to be around 11-14 days, an Intuitive Machines spokesperson told SpaceNews.

Formerly known as LinuxBIOS, coreboot is defined by Wikipedia as "a software project aimed at replacing proprietary firmware (BIOS or UEFI) found in most computers with a lightweight firmware."

Phoronix is wondering if there's about to be a big announcement from AMD: AMD dropped a juicy tid-bit of information to be announced next month with "openSIL" [an open-source AMD x86 silicon initialization library], complete with AMD Coreboot support....

While about a decade ago AMD was big into Coreboot and at the time committed to it for future hardware platforms (2011: AMD To Support Coreboot On All Future CPUs) [and] open-source AGESA at the time did a lot of enabling around it, that work had died off. In more recent years, AMD's Coreboot contributions have largely been limited to select consumer APU/SoC platforms for Google Chromebook use. But issues around closing up the AGESA as well as concerns with the AMD Platform Security Processor (PSP) have diminished open-source firmware hopes in recent years....

For the Open Compute Project Regional Summit in Prague, there is a new entry added with a title of OSF on AMD — Enabled by openSIL (yes, folks, OSF as in "Open-Source Firmware").... [H]opefully this will prove to be a monumental shift for open-source firmware in the HPC server space.
From the talk's description: openSIL (AMD open-source x86 Silicon Initialization Library) offers the versatility, scalability, and light weight interface to allow for ease of integration with open-source and/or proprietary host boot solutions such as coreboot, UEFI and others and adds major flexibility to the overall platform design.

In other words, this library-based solution simply allows a platform integrator to scale from feature rich solutions such as UEFI to slim, lightweight, and secure solutions such as coreboot.
The description promises the talk will include demonstrations "highlighting system bring-up using openSIL integrated with coreboot and UEFI Host Firmware stacks on AMD's Genoa based platforms."

Perhaps AI "needs a little more work," writes ZDNet columnist Chris Matyszczyk — noting problems with the automated voice-recognition systems at McDonald's drivethrough lanes. The trouble started when TikTok-er Ren Adams ordered hash browns, sweet tea and a Coke. All seemed fine until, at a second drive-thru lane, another car pulled up. Adams' AI helper seems to have overheard that order and added it to Adams'. Adams tried to make the robot see sense. Or, rather hear it. Instead, the robot removed the errant Diet Coke and replaced it with, oh, nine sweet teas instead of one.

Which suggests something of a problem. When your robot drive-thru employee makes a mistake, to whom can you complain? Complaining to the robot seems to create an extra layer of complication and the potential for even greater misunderstanding.

Adams, indeed, isn't alone. Here's Caitlyn Sykora (not) ordering $254 of McNuggets meals. And here's Madilynn Cameron wanting a large cup of water and a cup of ice cream and discovering butter is included. She seems to have given up.
The customer who'd ordered one sweet tea and instead got nine also drove off in a huff, according to the end of their TikTok video.

Matyszczyk's conclusion? " if you're not so good at fixing ice-cream machines, how good will you be at maintaining thousands of robot order-takers?"

Matt_Bennett (Slashdot reader #79,107) writes: Swedish power company Vattenfall released a study on the interactions of seabirds and offshore wind turbines. They used cameras and radar to record the tracks of the birds during daylight hours at Aberdeen Offshore Wind Farm over peak periods of bird activity in 2020 and 2021.

The study observed no collisions or even narrow escapes between birds and rotor blades. In 97.7% of the recordings, the birds avoided the RSZ (rotor swept zone).
The company (owned by the Swedish government) spent €3 million on the two-year study, according to Electrek, and now has ten thousand videos of birds flying...nowhere near the wind turbines. Herring gulls avoided the rotor blades by a full 90-110 meters (295-361 feet) while kittiwakes flew even further from the blades — 140-160 meters (459-525 feet).

"By way of comparison, each of these human-related sources kill millions or even billions of birds per year: fossil fuels, deforestation, pesticides, windows, and the common housecat."

According to Reuters, Elon Musk's medical device company, Neuralink, was denied permission last year to begin human trials of a revolutionary brain implant to treat intractable conditions such as paralysis and blindness. The U.S. Food and Drug Administration (FDA) outlined dozens of issues the company must address before human testing can begin, according to seven current and former employees. From the report: The agency's major safety concerns involved the device's lithium battery; the potential for the implant's tiny wires to migrate to other areas of the brain; and questions over whether and how the device can be removed without damaging brain tissue, the employees said. A year after the rejection, Neuralink is still working through the agency's concerns. Three staffers said they were skeptical the company could quickly resolve the issues -- despite Musk's latest prediction at a Nov. 30 presentation that the company would secure FDA human-trial approval this spring.

Neuralink has not disclosed details of its trial application, the FDA's rejection or the extent of the agency's concerns. As a private company, it is not required to disclose such regulatory interactions to investors. During the hours-long November presentation, Musk said the company had submitted "most of our paperwork" to the agency, without specifying any formal application, and Neuralink officials acknowledged the FDA had asked safety questions in what they characterized as an ongoing conversation. Such FDA rejections do not mean a company will ultimately fail to gain the agency's human-testing approval. But the agency's pushback signals substantial concerns, according to more than a dozen experts in FDA device-approval processes.

The rejection also raises the stakes and the difficulty of the company's subsequent requests for trial approval, the experts said. The FDA says it has approved about two-thirds of all human-trial applications for devices on the first attempt over the past three years. That total rose to 85% of all requests after a second review. But firms often give up after three attempts to resolve FDA concerns rather than invest more time and money in expensive research, several of the experts said. Companies that do secure human-testing approval typically conduct at least two rounds of trials before applying for FDA approval to commercially market a device.

An anonymous reader quotes a report from CBS News: The U.S. Postal Service's plans for a nationwide fleet of electric vehicles are getting closer to being realized. The service awarded contracts on Tuesday for 9,250 battery electric vehicles and for more than 14,000 charging stations. The vehicles purchased are Ford E-Transit Battery Electric Vehicles (BEVs), which according to USPS are "100 percent electric." It's part of the agency's plans, announced in December, to make 75% of its newly acquired vehicles, known as Next Generation Delivery Vehicles, over the next five years electric. After 2026, NGDV purchases will be 100% electric, the agency said. The goal is to have a fleet of 66,000 electric vehicles deployed by 2028.

Three suppliers were awarded contracts for more than 14,000 charging stations, as well, USPS said, to kick off its Electric Vehicle Supply Equipment (EVSE) inventory. However, the agency did note that the contracts they just awarded will not provide an immediate supply. The vehicles won't be delivered until December, assuming that the agency successfully finishes its Supplemental Environmental Impact Statement and other necessary tasks. It also remains unclear where the vehicles and charging stations will be placed, as those details have yet to be finalized, the agency said.

As such, a contract has also been awarded for the agency to acquire 9,250 commercial-off-the-shelf internal combustion engine vehicles "to fill the urgent need for vehicles." In December, the agency said that 21,000 COTS vehicles will be purchased and are "expected to be battery electric," but said that depends "on market availability and operational feasibility." In this case, the internal combustion engine vehicles will be gas-powered and made by Fiat Chrysler Automobile, a spokesperson for USPS told CBS News. They added that, unlike older USPS vehicles, these will "feature air conditioning and advanced safety technology and are more suited to modern day operational requirements." "We have an urgent need to replace some of our vehicles as soon as possible, and in those instances we will look to obtain vehicles that can be provided to us expeditiously, recognizing that there are a limited amount of BEV options currently available and that the charging infrastructure buildout will also take some time," they said in an email.

"...Today there remain routes and applications which do not support BEVs. As BEV technology matures and capabilities increase, the Postal Service will continue to review its ability to utilize and expand BEV usage."