An anonymous reader quotes a report from The New York Times: There's a big debate in the tech world over whether artificial intelligence models should be "open source." Elon Musk, who helped found OpenAI in 2015, sued the startup and its chief executive, Sam Altman, on claims that the company had diverged from its mission of openness. The Biden administration is investigating the risks and benefits of open source models. Proponents of open source A.I. models say they're more equitable and safer for society, while detractors say they are more likely to be abused for malicious intent. One big hiccup in the debate? There's no agreed-upon definition of what open source A.I. actually means. And some are accusing A.I. companies of "openwashing" -- using the "open source" term disingenuously to make themselves look good. (Accusations of openwashing have previously been aimed at coding projects that used the open source label too loosely.)

In a blog post on Open Future, a European think tank supporting open sourcing, Alek Tarkowski wrote, "As the rules get written, one challenge is building sufficient guardrails against corporations' attempts at 'openwashing.'" Last month the Linux Foundation, a nonprofit that supports open-source software projects, cautioned that "this 'openwashing' trend threatens to undermine the very premise of openness -- the free sharing of knowledge to enable inspection, replication and collective advancement." Organizations that apply the label to their models may be taking very different approaches to openness. [...]

The main reason is that while open source software allows anyone to replicate or modify it, building an A.I. model requires much more than code. Only a handful of companies can fund the computing power and data curation required. That's why some experts say labeling any A.I. as "open source" is at best misleading and at worst a marketing tool. "Even maximally open A.I. systems do not allow open access to the resources necessary to 'democratize' access to A.I., or enable full scrutiny," said David Gray Widder, a postdoctoral fellow at Cornell Tech who has studied use of the "open source" label by A.I. companies.

Western Digital has unveiled new 6TB external hard drives -- "the first new capacity point for this hard drive drive form factor in about seven years," reports Tom's Hardware. "There is a catch, though: the HDD is slow and will unlikely fit into any mobile PCs, so it looks like it will exclusively serve portable and specialized storage products." From the report: Western Digital's 6TB 2.5-inch HDD is currently used for the latest versions of the company's My Passport, Black P10, and G-Drive ArmorATD external storage devices and is not available separately. All of these drives (excluding the already very thick G-Drive ArmorATD) are thicker than their 5 TB predecessors, which may suggest that in a bid to increase the HDD's capacity, the manufacturer simply installed another platter and made the whole drive thicker instead of developing new platters with a higher areal density.

While this is a legitimate way to expand the capacity of a hard drive, it is necessary to note that 5TB 2.5-inch HDDs already feature a 15-mm z-height, which is the highest standard z-height for 2.5-inch form-factor storage devices. As a result, these 6TB 2.5-inch drives will unlikely fit into any desktop PC. When it comes to specifications of the latest My Passport, Black P10, and G-Drive ArmorATD external HDDs, Western Digital only discloses that they offer up to 130 MB/s read speed (just like their predecessors), feature a USB 3.2 Gen 1 (up to 5 GT/s) interface using either a modern USB Type-C or Micro USB Type-B connector and do not require an external power adapter.

necro81 writes: Robert Dennard was working at IBM in the 1960s when he invented a way to store one bit using a single transistor and capacitor. The technology became dynamic random access memory (DRAM), which when implemented using the emerging technology of silicon integrated circuits, helped catapult computing by leaps and bounds. The first commercial DRAM chips in the late 1960s held just 1024 bits; today's DDR5 modules hold hundreds of billions.

Dr. Robert H. Dennard passed away last month at age 91. (alternate link)

In the 1970s he helped guide technology roadmaps for the ever-shrinking feature size of lithography, enabling the early years of Moore's Law. He wrote a seminal paper in 1974 relating feature size and power consumption that is now referred to as Dennard Scaling. His technological contributions earned him numerous awards, and accolades from the National Academy of Engineering, IEEE, and the National Inventor's Hall of Fame.

An anonymous reader shares a report: In July last year, OpenAI announced the formation of a new research team that would prepare for the advent of supersmart artificial intelligence capable of outwitting and overpowering its creators. Ilya Sutskever, OpenAI's chief scientist and one of the company's cofounders, was named as the colead of this new team. OpenAI said the team would receive 20 percent of its computing power. Now OpenAI's "superalignment team" is no more, the company confirms. That comes after the departures of several researchers involved, Tuesday's news that Sutskever was leaving the company, and the resignation of the team's other colead. The group's work will be absorbed into OpenAI's other research efforts.

Sutskever's departure made headlines because although he'd helped CEO Sam Altman start OpenAI in 2015 and set the direction of the research that led to ChatGPT, he was also one of the four board members who fired Altman in November. Altman was restored as CEO five chaotic days later after a mass revolt by OpenAI staff and the brokering of a deal in which Sutskever and two other company directors left the board. Hours after Sutskever's departure was announced on Tuesday, Jan Leike, the former DeepMind researcher who was the superalignment team's other colead, posted on X that he had resigned.

According to the Solar Energy Industries Association (SEIA), the U.S. has officially surpassed 5 million solar installations. "The 5 million milestone comes just eight years after the U.S. achieved its first million in 2016 -- a stark contrast to the four decades it took to reach that initial milestone since the first grid-connected solar project in 1973," reports Electrek. From the report: Since the beginning of 2020, more than half of all U.S. solar installations have come online, and over 25% have been activated since the Inflation Reduction Act became law 20 months ago. Solar arrays have been installed on homes and businesses and as utility-scale solar farms. The U.S. solar market was valued at $51 billion in 2023. Even with changes in state policies, market trends indicate robust growth in solar installations across the U.S. According to SEIA forecasts, the number of solar installations is expected to double to 10 million by 2030 and triple to 15 million by 2034.

The residential sector represents 97% of all U.S. solar installations. This sector has consistently set new records for annual installations over the past several years, achieving new highs for five straight years and in 10 out of the last 12 years. The significant growth in residential solar can be attributed to its proven value as an investment for homeowners who wish to manage their energy costs more effectively. California is the frontrunner with 2 million solar installations, though recent state policies have significantly damaged its rooftop solar market. Meanwhile, other states are experiencing rapid growth. For example, Illinois, which had only 2,500 solar installations in 2017, now boasts over 87,000. Similarly, Florida has seen its solar installations surge from 22,000 in 2017 to 235,000 today. By 2030, 22 states or territories are anticipated to surpass 100,000 solar installations. The U.S. has enough solar installed to cover every residential rooftop in the Four Corners states of Colorado, Utah, Arizona, and New Mexico.

Kylie Robison reports via The Verge: Hugging Face, one of the biggest names in machine learning, is committing $10 million in free shared GPUs to help developers create new AI technologies. The goal is to help small developers, academics, and startups counter the centralization of AI advancements. [...] Delangue is concerned about AI startups' ability to compete with the tech giants. Most significant advancements in artificial intelligence -- like GPT-4, the algorithms behind Google Search, and Tesla's Full Self-Driving system -- remain hidden within the confines of major tech companies. Not only are these corporations financially incentivized to keep their models proprietary, but with billions of dollars at their disposal for computational resources, they can compound those gains and race ahead of competitors, making it impossible for startups to keep up. Hugging Face aims to make state-of-the-art AI technologies accessible to everyone, not just the tech giants. [...]

Access to compute poses a significant challenge to constructing large language models, often favoring companies like OpenAI and Anthropic, which secure deals with cloud providers for substantial computing resources. Hugging Face aims to level the playing field by donating these shared GPUs to the community through a new program called ZeroGPU. The shared GPUs are accessible to multiple users or applications concurrently, eliminating the need for each user or application to have a dedicated GPU. ZeroGPU will be available via Hugging Face's Spaces, a hosting platform for publishing apps, which has over 300,000 AI demos created so far on CPU or paid GPU, according to the company.

Access to the shared GPUs is determined by usage, so if a portion of the GPU capacity is not actively utilized, that capacity becomes available for use by someone else. This makes them cost-effective, energy-efficient, and ideal for community-wide utilization. ZeroGPU uses Nvidia A100 GPU devices to power this operation -- which offer about half the computation speed of the popular and more expensive H100s. "It's very difficult to get enough GPUs from the main cloud providers, and the way to get them -- which is creating a high barrier to entry -- is to commit on very big numbers for long periods of times," Delangue said. Typically, a company would commit to a cloud provider like Amazon Web Services for one or more years to secure GPU resources. This arrangement disadvantages small companies, indie developers, and academics who build on a small scale and can't predict if their projects will gain traction. Regardless of usage, they still have to pay for the GPUs. "It's also a prediction nightmare to know how many GPUs and what kind of budget you need," Delangue said.

Microsoft's ambitious goal to be carbon negative by 2030 is threatened by its expanding AI operations, which have increased its carbon footprint by 30% since 2020. To meet its targets, Microsoft must quickly adopt green technologies and improve efficiency in its data centers, which are critical for AI but heavily reliant on carbon-intensive resources. Bloomberg reports: Now to meet its goals, the software giant will have to make serious progress very quickly in gaining access to green steel and concrete and less carbon-intensive chips, said Brad Smith, president of Microsoft, in an exclusive interview with Bloomberg Green. "In 2020, we unveiled what we called our carbon moonshot. That was before the explosion in artificial intelligence," he said. "So in many ways the moon is five times as far away as it was in 2020, if you just think of our own forecast for the expansion of AI and its electrical needs." [...]

Despite AI's ravenous energy consumption, this actually contributes little to Microsoft's hike in emissions -- at least on paper. That's because the company says in its sustainability report that it's 100% powered by renewables. Companies use a range of mechanisms to make such claims, which vary widely in terms of credibility. Some firms enter into long-term power purchase agreements (PPAs) with renewable developers, where they shoulder some of a new energy plant's risk and help get new solar and wind farms online. In other cases, companies buy renewable energy credits (RECs) to claim they're using green power, but these inexpensive credits do little to spur new demand for green energy, researchers have consistently found. Microsoft uses a mix of both approaches. On one hand, it's one of the biggest corporate participants in power purchase agreements, according to BloombergNEF, which tracks these deals. But it's also a huge purchaser of RECs, using these instruments to claim about half of its energy use is clean, according to its environmental filings in 2022. By using a large quantity of RECs, Microsoft is essentially masking an even larger growth in emissions. "It is Microsoft's plan to phase out the use of unbundled RECs in future years," a spokesperson for the company said. "We are focused on PPAs as a primary strategy."

So what else can be done? Smith, along with Microsoft's Chief Sustainability Officer Melanie Nakagawa, has laid out clear steps in the sustainability report. High among them is to increase efficiency, which is to use the same amount of energy or computing to do more work. That could help reduce the need for data centers, which will reduce emissions and electricity use. On most things, "our climate goals require that we spend money," said Smith. "But efficiency gains will actually enable us to save money." Microsoft has also been at the forefront of buying sustainable aviation fuels that has helped reduce some of its emissions from business travel. The company also wants to partner with those who will "accelerate breakthroughs" to make greener steel, concrete and fuels. Those technologies are starting to work at a small scale, but remain far from being available in commercial quantities even if expensive. Cheap renewable power has helped make Microsoft's climate journey easier. But the tech giant's electricity consumption last year rivaled that of a small European country -- beating Slovenia easily. Smith said that one of the biggest bottlenecks for it to keep getting access to green power is the lack of transmission lines from where the power is generated to the data centers. That's why Microsoft says it's going to increase lobbying efforts to get governments to speed up building the grid. If Microsoft's emissions remain high going into 2030, Smith said the company may consider bulk purchases of carbon removal credits, even though it's not "the desired course."

"You've got to be willing to invest and pay for it," said Smith. Climate change is "a problem that humanity created and that humanity can solve."

Longtime Slashdot reader necro81 writes: The U.S. Federal Energy Regulatory Commission (FERC), which controls interstate energy infrastructure, approved a rule Monday that should boost new transmission infrastructure and make it easier to connect renewable energy projects. (More coverage here, here, and here.)

Some 11,000 projects totaling 2,600 GW of capacity are in planning, waiting to break ground, or connect to the grid. But they're stymied by the need for costly upgrades, or simply waiting for review. The frustrations are many. Each proposed project undergoes a lengthy grid-impact study and assessed the cost of necessary upgrades. Each project is considered in isolation, regardless of whether similar projects are happening nearby that could share the upgrade costs or auger different improvements. The planning process tends to be reactive -- examining only the applications in front of them -- rather than considering trends over the coming years. It's a first-come, first-served queue: if one project is ready to break ground, it must wait behind another project that's still securing funding or permitting.

Two years in development, the dryly-named Improvements to Generator Interconnection Procedures and Agreements directs utility operators to plan infrastructure improvements with a 20-yr forecast of new energy sources and increased demand. Rather than examining each project in isolation, similar projects will be clustered and examined together. Instead of a First-Come, First-Served serial process, operators will instead examine First-Ready, allowing shovel-ready projects to jump the queue. The expectation is that these new rules will speed up and streamline the process of developing and connecting new energy projects through more holistic planning, penalties for delays, sensible cost-sharing for upgrades, and justification for long-term investments.

With Amazon on its heels, the nation's biggest company by revenue is hunting for ways to continue growing. From a report: For a decade, Walmart has reigned as the nation's biggest company by revenue. Its sales last year added up to $648 billion -- more than $1.2 million a minute. That status comes with benefits. It gives Walmart power in negotiations with product manufacturers and in dealing with government officials over policy issues. It's also a point of pride: Job postings often tout working at the "Fortune 1" company as a perk. Its reign is looking shaky lately [non-paywalled link]. If current sales trends persist, Amazon is likely to overtake Walmart soon. Amazon reported $575 billion in total revenue last year, up 12% from the previous year, compared with Walmart's revenue growth of 6%.

Walmart's behemoth size means that to meet its own sales target of around 4% growth each year, the company has to find an additional $26 billion in sales this year. That's no easy task. About 90% of Americans already shop at the retailer. The pandemic and rising inflation boosted Walmart's revenue by $100 billion since 2019. It faces continued uncertainty in consumer confidence and while it's spending in some areas, it's pulling back in others. Earlier this week, Walmart told workers it would cut hundreds of corporate jobs and ask most remote workers to move to offices. While Amazon's and Walmart's businesses compete head on, there are big differences. Amazon earns much of its profit from non-retail operations such as cloud computing and advertising, while grabbing retail market share with fast shipping. Walmart gets the bulk of its sales and profits from U.S. stores, while growing side businesses like advertising and digital sales.

Walmart executives are most wary of Amazon's ability to keep increasing profits through its non-retail business, while eating more of the retail landscape with ever-faster shipping and a bigger product selection, people familiar with the company said. Internally some executives are highlighting Walmart's role as a good corporate citizen and emphasizing that it's important to be the best at serving customers and workers, not just the biggest, say some of those people. Its scale can also have downsides, say some, like outsize attention on every misstep.

samleecole writes: For the last decade, farmers have been warning that John Deere, a company celebrated by farmers, country musicians, and politicians, has been doing something else very American: Concentrating power, stripping away the ownership rights of people who buy their products, and adding a bevy of artificial, software-based repair restrictions that have effectively created a regime in which farmers can no longer fix their own tractors, combines, harvesters, and other agricultural equipment. Farmers have resorted to pirating John Deere's software and firmware on underground forums and torrent sites, and have used software cracked by Ukrainian pirates in order to simply fix the things they own. Farmers often have to wait days or weeks for an "authorized" John Deere dealership to come to their farms to repair their equipment, meanwhile their crops die on the vine.

For years, very little happened to slow down John Deere's march toward total control of the repair market. But interviews with farmers, activists, and lawyers, and a review of court records reveal a turn in the story: There is increased scrutiny on Deere's repair practices not just in this class action lawsuit, but from state legislators, the White House, and a series of federal agencies. The walls on Deere's repair monopoly may finally be closing in.

Brandon Vigliarolo reports via The Register: Not everything in the semiconductor industry is about shearing off every last nanometer, which is why the Biden administration is splashing out CHIPS Act funding to those pursuing less cutting edge processor production. Case in point, today's announcement that Bloomington, Minnesota-based Polar Semiconductor could be getting up to $120 million in CHIPS funds to double production capacity over the next two years, along with a possible buyout to return the business to U.S. hands.

Polar, which manufactures semiconductors used primarily for the energy industry and electric vehicles, will use the funds to double its production capacity of sensor and power chips and upgrade its manufacturing kit, as well as adding 160 jobs to boot. Along with expanding production, the U.S. Department of Commerce said the funding would trigger additional private capital investment to "transform Polar from a majority foreign-owned in-house manufacturer to a majority U.S.-owned commercial foundry, expanding opportunities for U.S. chip designers to innovate and produce technologies domestically." In other words - sure it'll expand the output, but the real win is another majority U.S.-owned foundry for the White House to tout.

According to its website, Polar is currently owned by Korean conglomerate SK Group and serves as the primary fab and engineering center for Japanese firm Sanken Electric. Not exactly companies in countries with poor U.S. relations - but overseas owners, nonetheless. "This proposed investment in Polar will crowd in private capital, which will help make Polar a U.S.-based, independent foundry," said U.S. Commerce secretary Gina Raimondo. "They will be able to expand their customer base and create a stable domestic supply of critical chips, made in America's heartland."

OpenAI CEO Sam Altman gave an hour-long interview to the "All-In" podcast (hosted by Chamath Palihapitiya, Jason Calacanis, David Sacks and David Friedberg).

And when asked about this summer's launch of the next version of ChatGPT, Altman said they hoped to "be thoughtful about how we do it, like we may release it in a different way than we've released previous models...

Altman: One of the things that we really want to do is figure out how to make more advanced technology available to free users too. I think that's a super-important part of our mission, and this idea that we build AI tools and make them super-widely available — free or, you know, not-that-expensive, whatever that is — so that people can use them to go kind of invent the future, rather than the magic AGI in the sky inventing the future, and showering it down upon us. That seems like a much better path. It seems like a more inspiring path.

I also think it's where things are actually heading. So it makes me sad that we have not figured out how to make GPT4-level technology available to free users. It's something we really want to do...

Q: It's just very expensive, I take it?

Altman: It's very expensive.
But Altman said later he's confident they'll be able to reduce cost. Altman: I don't know, like, when we get to intelligence too cheap to meter, and so fast that it feels instantaneous to us, and everything else, but I do believe we can get there for, you know, a pretty high level of intelligence. It's important to us, it's clearly important to users, and it'll unlock a lot of stuff.
Altman also thinks there's "great roles for both" open-source and closed-source models, saying "We've open-sourced some stuff, we'll open-source more stuff in the future.

"But really, our mission is to build toward AGI, and to figure out how to broadly distribute its benefits... " Altman even said later that "A huge part of what we try to do is put the technology in the hands of people..." Altman: The fact that we have so many people using a free version of ChatGPT that we don't — you know, we don't run ads on, we don't try to make money on it, we just put it out there because we want people to have these tools — I think has done a lot to provide a lot of value... But also to get the world really thoughtful about what's happening here. It feels to me like we just stumbled on a new fact of nature or science or whatever you want to call it... I am sure, like any other industry, I would expect there to be multiple approaches and different peoiple like different ones.
Later Altman said he was "super-excited" about the possibility of an AI tutor that could reinvent how people learn, and "doing faster and better scientific discovery... that will be a triumph."

But at some point the discussion led him to where the power of AI intersects with the concept of a universal basic income: Altman: Giving people money is not going to go solve all the problems. It is certainly not going to make people happy. But it might solve some problems, and it might give people a better horizon with which to help themselves.

Now that we see some of the ways that AI is developing, I wonder if there's better things to do than the traditional conceptualization of UBI. Like, I wonder — I wonder if the future looks something more like Universal Basic Compute than Universal Basic Income, and everybody gets like a slice of GPT-7's compute, and they can use it, they can re-sell it, they can donate it to somebody to use for cancer research. But what you get is not dollars but this like slice — you own part of the the productivity.
Altman was also asked about the "ouster" period where he was briefly fired from OpenAI — to which he gave a careful response: Altman: I think there's always been culture clashes at — look, obviously not all of those board members are my favorite people in the world. But I have serious respect for the gravity with which they treat AGI and the importance of getting AI safety right. And even if I stringently disagree with their decision-making and actions, which I do, I have never once doubted their integrity or commitment to the sort of shared mission of safe and beneficial AGI...

I think a lot of the world is, understandably, very afraid of AGI, or very afraid of even current AI, and very excited about it — and even more afraid, and even more excited about where it's going. And we wrestle with that, but I think it is unavoidable that this is going to happen. I also think it's going to be tremendously beneficial. But we do have to navigate how to get there in a reasonable way. And, like a lot of stuff is going to change. And change is pretty uncomfortable for people. So there's a lot of pieces that we've got to get right...

I really care about AGI and think this is like the most interesting work in the world.

Reddit reported its first results since going public in late March. Yahoo Finance reports: Daily active users increased 37% year over year to 82.7 million. Weekly active unique users rose 40% from the prior year. Total revenue improved 48% to $243 million, nearly doubling the growth rate from the prior quarter, due to strength in advertising. The company delivered adjusted operating profits of $10 million, versus a $50.2 million loss a year ago. [Reddit CEO Steve] Huffman declined to say when the company would be profitable on a net income basis, noting it's a focus for the management team. Other areas of focus include rolling out a new user interface this year, introducing shopping capabilities, and searching for another artificial intelligence content licensing deal like the one with Google.
Bloomberg notes that already Reddit "has signed licensing agreements worth $203 million in total, with terms ranging from two to three years. The company generated about $20 million from AI content deals last quarter, and expects to bring in more than $60 million by the end of the year."

And elsewhere Bloomberg writes that Reddit "plans to expand its revenue streams outside of advertising into what Huffman calls the 'user economy' — users making money from others on the platform... " In the coming months Reddit plans to launch new versions of awards, which are digital gifts users can give to each other, along with other products... Reddit also plans to continue striking data licensing deals with artificial intelligence companies, expanding into international markets and evaluating potential acquisition targets in areas such as search, he said.
Meanwhile, ZDNet notes that this week a Reddit announcement "introduced a new public content policy that lays out a framework for how partners and third parties can access user-posted content on its site." The post explains that more and more companies are using unsavory means to access user data in bulk, including Reddit posts. Once a company gets this data, there's no limit to what it can do with it. Reddit will continue to block "bad actors" that use unauthorized methods to get data, the company says, but it's taking additional steps to keep users safe from the site's partners.... Reddit still supports using its data for research: It's creating a new subreddit — r/reddit4researchers — to support these initiatives, and partnering with OpenMined to help improve research. Private data is, however, going to stay private.

If a company wants to use Reddit data for commercial purposes, including advertising or training AI, it will have to pay. Reddit made this clear by saying, "If you're interested in using Reddit data to power, augment, or enhance your product or service for any commercial purposes, we require a contract." To be clear, Reddit is still selling users' data — it's just making sure that unscrupulous actors have a tougher time accessing that data for free and researchers have an easier time finding what they need.
And finally, there's some court action, according to the Register. Reddit "was sued by an unhappy advertiser who claims that internet giga-forum sold ads but provided no way to verify that real people were responsible for clicking on them." The complaint [PDF] was filed this week in a U.S. federal court in northern California on behalf of LevelFields, a Virginia-based investment research platform that relies on AI. It says the biz booked pay-per-click ads on the discussion site starting September 2022... That arrangement called for Reddit to use reasonable means to ensure that LevelField's ads were delivered to and clicked on by actual people rather than bots and the like. But according to the complaint, Reddit broke that contract...

LevelFields argues that Reddit is in a particularly good position to track click fraud because it's serving ads on its own site, as opposed to third-party properties where it may have less visibility into network traffic... Nonetheless, LevelFields's effort to obtain IP address data to verify the ads it was billed for went unfulfilled. The social media site "provided click logs without IP addresses," the complaint says. "Reddit represented that it was not able to provide IP addresses."
"The plaintiffs aspire to have their claim certified as a class action," the article adds — along with an interesting statistic.

"According to Juniper Research, 22 percent of ad spending last year was lost to click fraud, amounting to $84 billion."

Researchers believe they've discovered a new material structure that can improve the energy storage of capacitors. The structure allows for storage while improving the efficiency of ultrafast charging and discharging. The new find needs optimization but has the potential to help power electric vehicles. * An anonymous reader shared this report from Popular Mechanics: In a study published in Science, lead author Sang-Hoon Bae, an assistant professor of mechanical engineering and materials science, demonstrates a novel heterostructure that curbs energy loss, enabling capacitors to store more energy and charge rapidly without sacrificing durability... Within capacitors, ferroelectric materials offer high maximum polarization. That's useful for ultra-fast charging and discharging, but it can limit the effectiveness of energy storage or the "relaxation time" of a conductor. "This precise control over relaxation time holds promise for a wide array of applications and has the potential to accelerate the development of highly efficient energy storage systems," the study authors write.

Bae makes the change — one he unearthed while working on something completely different — by sandwiching 2D and 3D materials in atomically thin layers, using chemical and nonchemical bonds between each layer. He says a thin 3D core inserts between two outer 2D layers to produce a stack that's only 30 nanometers thick, about 1/10th that of an average virus particle... The sandwich structure isn't quite fully conductive or nonconductive.

This semiconducting material, then, allows the energy storage, with a density up to 19 times higher than commercially available ferroelectric capacitors, while still achieving 90 percent efficiency — also better than what's currently available.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

The Royal Institution of Australia is a national non-profit hub for science communication, publishing the science magazine Cosmos four times a year.

This month they argued that small modular nuclear reactors "don't add up as a viable energy source." Proponents assert that SMRs would cost less to build and thus be more affordable. However, when evaluated on the basis of cost per unit of power capacity, SMRs will actually be more expensive than large reactors. This 'diseconomy of scale' was demonstrated by the now-terminated proposal to build six NuScale Power SMRs (77 megawatts each) in Idaho in the United States. The final cost estimate of the project per megawatt was around 250 percent more than the initial per megawatt cost for the 2,200 megawatts Vogtle nuclear power plant being built in Georgia, US. Previous small reactors built in various parts of America also shut down because they were uneconomical.
The cost was four to six times the cost of the same electricity from wind and solar photovoltaic plants, according to estimates from the Australian Commonwealth Scientific and Industrial Research Organisation and the Australian Energy Market Operator. "The money invested in nuclear energy would save far more carbon dioxide if it were instead invested in renewables," the article agues: Small reactors also raise all of the usual concerns associated with nuclear power, including the risk of severe accidents, the linkage to nuclear weapons proliferation, and the production of radioactive waste that has no demonstrated solution because of technical and social challenges. One 2022 study calculated that various radioactive waste streams from SMRs would be larger than the corresponding waste streams from existing light water reactors...

Nuclear energy itself has been declining in importance as a source of power: the fraction of the world's electricity supplied by nuclear reactors has declined from a maximum of 17.5 percent in 1996 down to 9.2 percent in 2022. All indications suggest that the trend will continue if not accelerate. The decline in the global share of nuclear power is driven by poor economics: generating power with nuclear reactors is costly compared to other low-carbon, renewable sources of energy and the difference between these costs is widening.
Thanks to Slashdot reader ZipNada for sharing the article.

A tokamak in France achieved a new record in fusion plasma by using tungsten to encase its reaction, which enabled the sustainment of hotter and denser plasma for longer periods than previous carbon-based designs. Quartz reports: A tokamak is a torus- (doughnut-) shaped fusion device that confines plasma using magnetic fields, allowing scientists to fiddle with the superheated material and induce fusion reactions. The recent achievement was made in WEST (tungsten (W) Environment in Steady-state Tokamak), a tokamak operated by the French Alternative Energies and Atomic Energy Commission (CEA). WEST was injected with 1.15 gigajoules of power and sustained a plasma of about 50 million degrees Celsius for six minutes. It achieved this record after scientists encased the tokamak's interior in tungsten, a metal with an extraordinarily high melting point. Researchers from Princeton Plasma Physics Laboratory used an X-ray detector inside the tokamak to measure aspects of the plasma and the conditions that made it possible.

"These are beautiful results," said Xavier Litaudon, a scientist with CEA and chair of the Coordination on International Challenges on Long duration OPeration (CICLOP), in a PPPL release. "We have reached a stationary regime despite being in a challenging environment due to this tungsten wall."

Longtime Slashdot reader davidwr shares a report from Space Weather Prediction Center (SWPC): On Thursday, May 9, 2024, the NOAA Space Weather Prediction Center issued a Severe (G4) Geomagnetic Storm Watch. At least five earth-directed coronal mass ejections (CMEs) were observed and expected to arrive as early as midday Friday, May 10, 2024, and persist through Sunday, May 12, 2024. Several strong flares have been observed over the past few days and were associated with a large and magnetically complex sunspot cluster (NOAA region 3664), which is 16 times the diameter of Earth. [The agency notes this is the first time it's issued a G4 watch since January, 2005.] "Geomagnetic storms can impact infrastructure in near-Earth orbit and on Earth's surface, potentially disrupting communications, the electric power grid, navigation, radio and satellite operations," NOAA said. "[The Space Weather Prediction Center] has notified the operators of these systems so they can take protective action." The agency said it will continue to monitor the ongoing storm and "provide additional warnings as necessary."

A visual byproduct of the storm will be "spectacular displays of aurora," also known as the Northern Lights, that could be seen for much of the northern half of the country "as far south as Alabama to northern California," said the NOAA. "Northern Montana, Minnesota, Wisconsin and the majority of North Dakota appear to have the best chances to see it," reports Axios, citing the SWPC's aurora viewline. "Forecast models Friday showed the activity will likely be the strongest from Friday night to Saturday morning Eastern time."

UPDATE 6:54 P.M. EDT: G5 conditions have been observed -- the first time since 2003, says Broadcast Meteorologist James Spann.

This is a developing story. More information is available at spaceweather.gov, Google News, and the NOAA.

An anonymous reader quotes a report from the New York Times: Apple's top software executives decided early last year that Siri, the company's virtual assistant, needed a brain transplant. The decision came after the executives Craig Federighi and John Giannandrea spent weeks testing OpenAI's new chatbot, ChatGPT. The product's use of generative artificial intelligence, which can write poetry, create computer code and answer complex questions, made Siri look antiquated, said two people familiar with the company's work, who didn't have permission to speak publicly. Introduced in 2011 as the original virtual assistant in every iPhone, Siri had been limited for years to individual requests and had never been able to follow a conversation. It often misunderstood questions. ChatGPT, on the other hand, knew that if someone asked for the weather in San Francisco and then said, "What about New York?" that user wanted another forecast.

The realization that new technology had leapfrogged Siri set in motion the tech giant's most significant reorganization in more than a decade. Determined to catch up in the tech industry's A.I. race, Apple has made generative A.I. a tent pole project -- the company's special, internal label that it uses to organize employees around once-in-a-decade initiatives. Apple is expected to show off its A.I. work at its annual developers conference on June 10 when it releases an improved Siri that is more conversational and versatile, according to three people familiar with the company's work, who didn't have permission to speak publicly. Siri's underlying technology will include a new generative A.I. system that will allow it to chat rather than respond to questions one at a time. The update to Siri is at the forefront of a broader effort to embrace generative A.I. across Apple's business. The company is also increasing the memory in this year's iPhones to support its new Siri capabilities. And it has discussed licensing complementary A.I. models that power chatbots from several companies, including Google, Cohere and OpenAI. Further reading: Apple Might Bring AI Transcription To Voice Memos and Notes

Last week, NASA announced it is working with a technology development company on a new propulsion system that could transport humans to Mars in only two months -- down from the current nine month journey required to reach the Red Planet. Gizmodo reports: NASA's Innovative Advanced Concepts (NIAC) program recently selected six promising projects for additional funding and development, allowing them to graduate to the second stage of development. The new "science fiction-like concepts," as described by John Nelson, NIAC program executive at NASA, include a lunar railway system and fluid-based telescopes, as well as a pulsed plasma rocket.

The potentially groundbreaking propulsion system is being developed by Arizona-based Howe Industries. To reach high velocities within a shorter period of time, the pulsed plasma rocket would use nuclear fission -- the release of energy from atoms splitting apart -- to generate packets of plasma for thrust. It would essentially produce a controlled jet of plasma to help propel the rocket through space. Using the new propulsion system, and in terms of thrust, the rocket could potentially generate up to 22,481 pounds of force (100,000 Newtons) with a specific impulse (Isp) of 5,000 seconds, for remarkably high fuel efficiency. [...]

The pulsed plasma rocket would also be capable of carrying much heavier spacecraft, which can be then equipped with shielding against galactic cosmic rays for the crew on board. Phase 2 of NIAC is focused on assessing the neutronics of the system (how the motion of the spacecraft interacts with the plasma), designing the spacecraft, power system, and necessary subsystems, analyzing the magnetic nozzle capabilities, and determining trajectories and benefits of the pulsed plasma rocket, according to NASA.

Jess Weatherbed reports via The Verge: At least 224 people with diabetes have reported injuries linked to a defective iOS app that caused their insulin pumps to shut down prematurely, according to the US Food and Drug Administration (FDA). On Wednesday, the agency announced that California-based medical device manufacturer Tandem Diabetes Care has issued a recall for version 2.7 of the iOS t:connect mobile app, which is used in conjunction with the company's t:slim X2 insulin pump. Specifically, the recall relates to a software issue that can cause the app to repeatedly crash and relaunch, resulting in the pump's battery being drained by excessive Bluetooth communication.

This battery drain can cause the pump to shut down "earlier than typically expected" according to Tandem, though the pump will notify users of an imminent shutdown via an alarm and low-power alert. The company has notified customers to update the mobile app to version 2.7.1 or later, which should fix the defective software. While no physical recall is taking place, the FDA has identified this as a "Class I" recall -- the most serious type, as it relates to issues with products that can potentially cause serious injuries or death. No deaths linked to the issues have been reported as of April 15th. Tandem is encouraging pump users to take particular care when they sleep as it's easier to miss battery depletion warnings, and is asking impacted customers to confirm they have been notified of the recall via this online form. For any other questions or concerns about the insulin pump recall, customers should contact Tandem Diabetes Care directly.