Slashdot

An anonymous reader quotes a report from the Financial Times: Officials working with Donald Trump's "Board of Peace" are exploring setting up a stablecoin for Gaza as part of efforts to reshape the devastated Palestinian enclave's economy, according to five people familiar with the discussions. The talks around introducing a stablecoin -- a type of cryptocurrency whose value is pegged to a mainstream currency, such as the US dollar -- are at a preliminary stage, and many details of how one could be introduced in Gaza remain to be determined. But officials have discussed the idea as part of their plan for the future of the enclave, where economic activity collapsed during Israel's two-year war with Hamas and the traditional banking and payments system has been severely impaired. A person familiar with the project said the stablecoin was expected to be tied to the US dollar, with the hope that Gulf Arab and Palestinian companies with expertise in the field of digital currencies will help spearhead the effort. "This will not be a 'Gaza Coin' or a new Palestinian currency, but a means to allow Gazans to transact digitally," the person said. Work on the idea is being led by Liran Tancman, an Israeli tech entrepreneur and former reservist who is now working as an unpaid adviser to Trump's "Board of Peace," the US-led body tasked with rebuilding Gaza, according to two people familiar with the matter. [...] According to the person familiar with the project, the "Board of Peace" and NCAG will decide on the stablecoin's regulatory framework and access, although "nothing definitive" has yet been finalized. Speaking at a meeting of the "Board of Peace" in Washington last week, Tancman said the NCAG was working on building "a secure digital backbone, an open platform enabling e-payments, financial services, e-learning, and healthcare with user control over data", but did not elaborate.

Read more of this story at Slashdot.

OpenAI has formed a multi-year "Frontier Alliance" with four consulting heavyweights to accelerate enterprise adoption of its no-code AI agent platform, OpenAI Frontier. TechCrunch reports: The alliance includes multi-year partnerships between OpenAI and four major consulting firms, Boston Consulting Group (BCG), McKinsey, Accenture and Capgemini, to sell its enterprise products. OpenAI's Forward Deployed Engineering team will work with the consulting giants to help them implement OpenAI's enterprise-focused technologies like OpenAI Frontier into customers' tech stacks. The company launched OpenAI Frontier in early February. The no-code open software allows users to build, deploy, and manage AI agents both built on OpenAI's AI models and beyond. OpenAI argues in its latest announcement that consultants are the right avenue to get enterprises on board. "AI alone does not drive transformation. It must be linked to strategy, built into redesigned processes, and adopted at scale with aligned incentives and culture to deliver sustained outcomes," BCG CEO Christoph Schweizer said in OpenAI's blog post. "Our expanded partnership combines OpenAI's Frontier platform with BCG's deep industry, functional, and tech expertise and BCG X's build-and-scale capabilities to drive measurable impact with safeguards from day one."

Read more of this story at Slashdot.

Panasonic is handing over the manufacturing, marketing, and sales of its TVs to Shenzhen-based Skyworth, effectively exiting in-house TV production. Ars Technica reports: Skyworth is a Shenzhen-headquartered TV brand. The company claims to be "a top three global provider of the Android TV platform." In July, research firm Omdia reported that Skyworth was one of the top-five TV brands by sales revenue in Q1 2025; however, Skyworth hasn't been able to maintain that position regularly. Panasonic made its announcement at a "launch event," FlatpanelsHD reported today. During the event, a Panasonic representative reportedly said: "Under the agreement the new partner will lead sales, marketing, and logistics across the region, while Panasonic provide expertise and quality assurance to uphold its renowned audiovisual standards with full joint development on top-end OLED models." Panasonic also said that it will provide support "for all Panasonic TVs sold up to March 2026 and all those available from April." Skyworth-made Panasonic TVs will be sold in the US and Europe. In the latter geography, the companies are aiming for double-digit market share. [...] The news means there's virtually no TV production happening in Japan anymore, as other Japanese companies, like Sharp, Toshiba, Hitachi, and Pioneer, have already exited TV production. Earlier this year, Sony announced that it was ceding control of its TV hardware business to TCL.

Read more of this story at Slashdot.

An anonymous reader quotes a report from Reuters: Researchers at ASML Holding say they have found a way to boost the power of the light source in a key chip making machine to turn out up to 50% more chips by decade's end, to help retain the Dutch company's edge over emerging U.S. and Chinese rivals. ASML is the world's only maker of commercial extreme ultraviolet lithography (EUV) machines, a critical tool for chipmakers such as TSMC, Intel and others in producing advanced computing chips. "It's not a parlor trick or something like this, where we demonstrate for a very short time that it can work," Michael Purvis, ASML's lead technologist for its EUV source light, said in an interview. "It's a system that can produce 1,000 watts under all the same requirements that you could see at a customer," he added, speaking at the company's California facilities near San Diego. [...] With the technological advance revealed on Monday, which is being reported here for the first time, ASML aims to outdistance any would-be rivals by improving the most technologically challenging aspect of the machines. This is the quest to generate EUV light with the right power and properties to turn out chips at high volume. The company's researchers have found a way to boost the power of the EUV light source to 1,000 watts from 600 watts now. The chief advantage is that greater power translates into the ability to make more chips every hour, helping to lower the cost of each. Chips are printed similar to a photograph, where the EUV light is shone on a silicon wafer coated with special chemicals called a photoresist. With a more powerful EUV light source, chip factories need shorter exposure times. "We'd like to make sure that our customers can keep on using EUV at a much lower cost," Teun van Gogh, executive vice president for the NXE line of EUV machines at ASML, told Reuters. Van Gogh said customers should be able to process about 330 silicon wafers an hour on each machine by the end of the decade, up from 220 now. Depending on the size of a chip, each wafer can hold anywhere from scores to thousands of the devices. ASML got the power boost by doubling down on an approach that already places its machines among the most complex inventions of humans. To produce light with a wavelength of 13.5 nanometers, ASML's machine shoots a stream of molten droplets of tin through a chamber, where a massive carbon dioxide laser heats them into plasma. This is a superheated state of matter in which the tin droplets become hotter than the sun and emit EUV light, to be collected by precision optic equipment supplied by Germany's Carl Zeiss AG and fed into the machine to print chips. The key advancements in Monday's disclosure involved doubling the number of tin drops to about 100,000 every second, and shaping them into plasma using two smaller laser bursts, as opposed to today's machines that use a single shaping burst. [...] ASML believes the techniques it used to hit 1,000 watts will unlock continued advances in the future, Purvis said, adding, "We see a reasonably clear path toward 1,500 watts, and no fundamental reason why we couldn't get to 2,000 watts."

Read more of this story at Slashdot.

IBM shares plunged nearly 13% on Monday after Anthropic published a blog post arguing that its Claude Code tool could automate much of the complex analysis work involved in modernizing COBOL, the decades-old programming language that still underpins an estimated 95% of ATM transactions in the United States and runs on the kind of mainframe systems IBM has sold for generations. Anthropic said the shrinking pool of developers who understand COBOL had long made modernization cost-prohibitive, and that AI could now flip that equation by mapping dependencies and documenting workflows across thousands of lines of legacy code. The sell-off deepened a rough 2026 for IBM, whose shares are now down more than 22% year to date.

Read more of this story at Slashdot.

Linus Torvalds has pondered his professional mortality in a self-deprecating post to mark the release of the first release candidate for version 7.0 of the Linux kernel. From a report: "You all know the drill by now: two weeks have passed, and the kernel merge window is closed," he wrote in the post announcing Linux 7.0 rc1. "We have a new major number purely because I'm easily confused and not good with big numbers." Torvalds pointed out that the numbers he applies to new kernel releases are essentially meaningless. "We haven't done releases based on features (or on "stable vs unstable") for a long, long time now. So that new major number does *not* mean that we have some big new exciting feature, or that we're somehow leaving old interfaces behind. It's the usual "solid progress" marker, nothing more.â He then reiterated his plan to end each series of kernels to end at x.19, before the next release becomes y.0 -- a process that takes about 3.5 years -- and then pondered what happens when the next version of Linux reaches a number he finds uncomfortable. "I don't have a solid plan for when the major number itself gets big," he admitted, "by that time, I expect that we'll have somebody more competent in charge who isn't afraid of numbers past the teens. So I'm not going to worry about it."

Read more of this story at Slashdot.

Despite AI's progress in building complex software, the ubiquitous PDF remains something of a grand challenge -- a format Adobe developed in the early 1990s to preserve the precise visual appearance of documents. PDFs consist of character codes, coordinates, and rendering instructions rather than logically ordered text, and even state-of-the-art models asked to extract information from them will summarize instead, confuse footnotes with body text, or outright hallucinate contents, The Verge writes. Companies like Reducto are now tackling the problem by segmenting pages into components -- headers, tables, charts -- before routing each to specialized parsing models, an approach borrowed from computer vision techniques used in self-driving vehicles. Researchers at Hugging Face recently found roughly 1.3 billion PDFs sitting in Common Crawl alone, and the Allen Institute for AI has noted that PDFs could provide trillions of novel, high-quality training tokens from government reports, textbooks, and academic papers -- the kind of data AI developers are increasingly desperate for.

Read more of this story at Slashdot.

U.S. artificial-intelligence startup Anthropic said three Chinese AI companies set up more than 24,000 fraudulent accounts with its Claude AI model to help their own systems catch up. From a report: The three companies -- DeepSeek, Moonshot AI and MiniMax -- prompted Claude more than 16 million times, siphoning information from Anthropic's system to train and improve their own products, Anthropic said in a blog post Monday. Earlier this month, an Anthropic rival, OpenAI, sent a memo to House lawmakers accusing DeepSeek of using the same tactic, called distillation, to mimic OpenAI's products. Anthropic said distillation had legitimate uses -- companies use it to build smaller versions of their own products, for example -- but it could also be used to build competitive products "in a fraction of the time, and at a fraction of the cost." The scale of the different companies' distillation activity varied. DeepSeek engaged in 150,000 interactions with Claude, whereas Moonshot and MiniMax had more than 3.4 million and 13 million, respectively, Anthropic said.

Read more of this story at Slashdot.

The first fiber-optic cable ever laid across an ocean -- TAT-8, a nearly 6,000-kilometer line between the United States, United Kingdom, and France that carried its first traffic on December 14, 1988 -- is now being pulled off the Atlantic seabed after more than two decades of sitting dormant, bound for recycling in South Africa. Subsea Environmental Services, one of only three companies in the world whose entire business is cable recovery and recycling, began the operation last year using its new diesel-electric vessel, the MV Maasvliet, and had already brought 1,012 kilometers of the cable to the Portuguese port of Leixoes by August. TAT-8, short for Trans-Atlantic Telephone 8, was built by AT&T, British Telecom, and France Telecom, and hit full capacity within just 18 months of going live. A fault too expensive to repair took it out of service in 2002. The recovered cable is being shipped to Mertech Marine in South Africa, where it will be broken down into steel, copper, and two types of polyethylene -- all commercially valuable, especially the high-quality copper at a time when the International Energy Agency projects global shortages within a decade.

Read more of this story at Slashdot.

An anonymous reader shares a report: PayPal, the digital payments pioneer, is attracting takeover interest from potential buyers after a stock slide wiped out almost half of its value, according to people familiar with the matter. The San Jose, California-based company has fielded meetings with banks amid unsolicited interest from suitors, the people said. At least one large rival is looking at the whole company, while some other suitors are only interested in certain PayPal assets, the people said, asking not to be identified because the information is private. Buyer interest in PayPal is still at a preliminary stage and may not lead to a transaction, the people cautioned. Founded in the late 1990s, PayPal was an early mover in the world of digital payments. But the company now finds itself in a rut with its customers increasingly turning to alternative ways to pay for things. PayPal's shares have fallen around 46% in New York trading over the last 12 months, giving the company a market value of about $38.4 billion.

Read more of this story at Slashdot.

Climate scientists trying to predict how much hotter the planet will get have long grappled with a surprisingly stubborn problem -- clouds, which both reflect sunlight and trap heat, account for more than half the variation between climate predictions and are the main reason warming projections for the next 50 years range from 2 to 6 degrees Celsius. Two research groups are now racing to close that gap using AI, though they disagree sharply on method. Tapio Schneider at Caltech built CLIMA, a model that uses machine learning to optimize cloud parameters within traditional physics equations; it will be unveiled at a conference in Japan in March. Chris Bretherton at the Allen Institute for AI took a different path -- his ACE2 neural network, released in 2024, learns from 50 years of atmospheric data and largely bypasses physics equations altogether.

Read more of this story at Slashdot.

A study published last week in PNAS found that people who regularly cause problems or make life difficult -- whom the researchers call "hasslers" -- are associated with measurably faster biological aging in those around them, at a rate of roughly 1.5% per additional hassler and about nine months of additional biological age relative to same-age peers. The research drew on DNA methylation-based epigenetic clocks and ego-centric network data from a state-representative probability sample of 2,345 adults in Indiana, aged 18 to 103. Nearly 29% of respondents reported at least one hassler in their close network. The biological toll varied by relationship type: hasslers who were family members showed the strongest and most consistent associations with accelerated aging, while spouse hasslers showed no significant effect on either epigenetic measure. The damage also went beyond aging clocks -- each additional hassler was associated with greater depression and anxiety severity, higher BMI, increased inflammation, and higher multimorbidity. When benchmarked against smoking, a major behavioral risk factor for aging, the hassler effect corresponded to roughly 13 to 17% of smoking's estimated impact on the same aging clocks.

Read more of this story at Slashdot.

OpenAI CEO Sam Altman is pushing back on growing concerns about AI's environmental footprint, dismissing claims about ChatGPT's water consumption as "totally fake" and arguing that the fairer way to measure AI's energy use is to compare it against humans. In an interview with Indian Express, Altman acknowledged that evaporative cooling in data centers once made water usage a real concern but said that is no longer the case, calling internet claims of 17 gallons of water per query "completely untrue, totally insane, no connection to reality." On energy, he conceded it is "fair" to worry about total consumption given how heavily the world now relies on AI, and called for a rapid shift toward nuclear, wind and solar power. He took particular issue with comparisons that pit the cost of training a model against a single human inference, noting it "takes like 20 years of life and all of the food you eat" before a person gets smart -- and that on a per-query basis, AI has "probably already caught up on an energy efficiency basis."

Read more of this story at Slashdot.

The narrative that AI spending has been singlehandedly propping up the U.S. economy -- a claim that captivated Silicon Valley, Wall Street and Washington over the past year -- is facing serious pushback from economists [non-paywalled source] at Goldman Sachs, Morgan Stanley and JPMorgan Chase, all of whom now calculate that the AI buildup's direct contribution to growth was dramatically overstated and possibly close to zero. The debate hinges on how GDP accounts for imported components: roughly three-quarters of AI data center costs go toward computer chips and gear largely manufactured in Asia, and that spending gets subtracted from domestic output because it boosts foreign economies. Joseph Politano of the Apricitas Economics newsletter pegs AI's actual contribution at about 0.2 percentage points of the 2.2 percent U.S. growth in 2025, and even Hannah Rubinton at the St. Louis Fed -- whose own analysis attributed 39 percent of growth to AI-related business spending through the first nine months of the year -- acknowledges that figure is probably the ceiling. "It's not like AI is propping up the economy," Rubinton said.

Read more of this story at Slashdot.

"In August 2025, TypeScript surpassed both Python and JavaScript to become the most-used language on GitHub for the first time ever..." writes GitHub's senior developer advocate. They point to this as proof that "AI isn't just speeding up coding. It's reshaping which languages, frameworks, and tools developers choose in the first place." Eighty percent of new developers on GitHub use Copilot within their first week. Those early exposures reset the baseline for what "easy" means. When AI handles boilerplate and error-prone syntax, the penalty for choosing powerful but complex languages disappears. Developers stop avoiding tools with high overhead and start picking based on utility instead. The language adoption data shows this behavioral shift: — TypeScript grew 66% year-over-year — JavaScript grew 24% — Shell scripting usage in AI-generated projects jumped 206% That last one matters. We didn't suddenly love Bash. AI absorbed the friction that made shell scripting painful. So now we use the right tool for the job without the usual cost. "When a task or process goes smoothly, your brain remembers," they point out. "Convenience captures attention. Reduced friction becomes a preference — and preferences at scale can shift ecosystems." "AI performs better with strongly typed languages. Strongly typed languages give AI much clearer constraints..." "Standardize before you scale. Document patterns. Publish template repositories. Make your architectural decisions explicit. AI tools will mirror whatever structures they see." "Test AI-generated code harder, not less."

Read more of this story at Slashdot.

"A surprisingly ravenous black hole from the dawn of the universe is breaking two big rules," reports Live Science. "It's not only exceeding the 'speed limit' of black hole growth but also generating extreme X-ray and radio wave emissions — two features that are not predicted to coexist..." "How is this rule-breaking behavior even possible? In a paper published Jan. 21 in The Astrophysical Journal, an international team of researchers observed ID830 in multiple wavelengths to find an answer...." As they attract gas and dust, this material accumulates in a swirling accretion disk. Gravity pulls the material from the disk into the black hole, but the infalling material generates radiation pressure that pushes outward and prevents more stuff from falling in. As a result, black holes are muzzled by a self-regulating process called the Eddington limit... Its X-ray brightness suggests that ID830 is accreting mass at about 13 times the Eddington limit, due to a sudden burst of inflowing gas that may have occurred as ID830 shredded and engulfed a celestial body that wandered too close. "For a supermassive black hole (SMBH) as massive as ID830, this would require not a normal (main-sequence) star, but a more massive giant star or a huge gas cloud," study co-author Sakiko Obuchi, an observational astronomer at Waseda University in Tokyo, told Live Science via email. Such super-Eddington phases may be incredibly brief, as "this transitional phase is expected to last for roughly 300 years," Obuchi added. ID830 also simultaneously displays radio and X-ray emissions. These two features are not expected to coexist, especially because super-Eddington accretion is thought to suppress such emissions. "This unexpected combination hints at physical mechanisms not yet fully captured by current models of extreme accretion and jet launching," the researchers said in a statement. So while ID830 is launching massive radio jets, its X-ray emissions appear to originate from a structure called a corona, produced as intense magnetic fields from the accretion disk create a thin but turbulent billion-degree cloud of turbocharged particles. These particles orbit the black hole at nearly the speed of light, in what NASA calls "one of the most extreme physical environments in the universe." Altogether, ID830's rule-breaking behaviors suggest that it is in a rare transitional phase of excessive consumption — and excretion. This incredible feeding burst has energized both its jets and its corona, making ID830 shine brightly across multiple wavelengths as it spews out excess radiation. Additionally, based on UV-brightness analysis, quasars like ID830 may be unexpectedly common, the researchers said. Models predict that only around 10% of quasars have spectacular radio jets, but these energetic objects could be significantly more abundant in the early universe than previously suggested. Most importantly, ID830 also shows how SMBHs can regulate galaxy growth in the early universe. As a black hole gobbles matter at the super-Eddington limit, the energy from its resultant emissions can heat and disperse matter throughout the interstellar medium — the gas between stars — to suppress star formation. As a result, ancient SMBHs like ID830 may have grown massive at the expense of their host galaxies.

Read more of this story at Slashdot.

When one company asked job applicants to submit a video where they answer a question, most of the 300 responses were "eerily similar," reports the Washington Post (with a company executive saying it was "abundantly clear" they'd used AI.) Job seekers are turning to AI to help them land jobs more quickly in a tough labor market.... Employers say that's having an unintended consequence: Many applications are looking and sounding the same... It's easy to spot when candidates over-rely on AI, some employers said. Oftentimes, executive summaries will look eerily similar to each other, odd phrases that people wouldn't normally use in conversation creep into descriptions, fancy vocabulary appears, and someone with entry-level experience uses language that indicates they are much more senior, they added. It's worse when they use auto-apply AI tools, which will find jobs, fill out applications and submit résumés on the candidate's behalf, some employers said. Those tend to misinterpret some of the application questions and fill in the wrong information in inappropriate spots. If these applications were evaluated alone, employers say they'd have a harder time identifying AI usage. But when hundreds of applications all have the same issue, they said, AI's role in it becomes obvious. The article acknowledges that some employers could be using AI tools to screen resumes too. One job-seeker in Texas even says he'll stop submitting an AI-written résumé when the recruiter stops using AI to evaluate them. "You're saying, 'You shouldn't be doing this' when I know a good chunk of them do this!" Obligatory XKCD.

Read more of this story at Slashdot.

This week Raspberry Pi saw its stock price surge more than 60% above its early-February low (before giving up some gains at the end of the week). Reuters notes the rise started when CEO Eben Upton bought 13,224 pounds worth of shares — but there could be another reason. "The rally in the roughly $800 million company has materialised alongside social-media buzz that demand for its single-board computers could pick up as people buy them to run AI agents such as OpenClaw." The Register explains: The catalyst appears to have been the sudden realization by one X user, "aleabitoreddit," that the agentic AI hand grenade known as OpenClaw could drive demand for Raspberry Pis the way it had for Apple Mac Minis. The viral AI personal assistant, formerly known as Clawdbot and Moltbot, has dominated the feeds of AI boosters over the past few weeks for its ability to perform everyday tasks like sending emails, managing calendars, booking appointments, and complaining about their meatbag masters on the purportedly all-agent forum known as MoltBook... In case it needs to be said, no one should be running this thing on their personal devices lest the agent accidentally leak your most personal and sensitive secrets to the web... In this context, a cheap low-power device like a Raspberry Pi makes a certain kind of sense as a safer, saner way to poke the robo-lobster... The Register argues Raspberry Pis aren't as cheap as they used to be "thanks in part to the global memory crunch. Today, a top-specced Raspberry Pi 5 with 16GB of memory will set you back more than $200, up from $120 a year ago." "You know what's cheaper, easier, and more secure than letting OpenClaw loose on your local area network? A virtual private cloud..."

Read more of this story at Slashdot.

Russia's domestic intelligence agency claimed Saturday that Ukraine can obtain sensitive information from troops using the Telegram app on the front line, reports Bloomberg. The fact that the claims were made through Russia's state-operated news outlet RIA Novosti signals "tightening scrutiny over a platform used by millions of Russians," Bloomberg notes, as the Kremlin continues efforts to "push people to use a new state-backed alternative." Russia's communications watchdog limited access to Telegram — a popular messaging app owned by Russian-born billionaire Pavel Durov — over a week ago for failing to comply with Russian laws requiring personal data to be stored locally. Voice and video calls were blocked via Telegram in August. The pressure is the latest move in a long-running campaign to promote what the Kremlin calls a sovereign internet that's led to blocks on YouTube, Instagram and WhatsApp... Foreign intelligence services are able to see Russia's military messages in Telegram too, Russia's Minister for digital development, Maksut Shadaev, said on Wednesday, although he added that Russia will not block access to Telegram for troops for now. Telegram responded at the time that no breaches of the app's encryption have ever been found. "The Russian government's allegation that our encryption has been compromised is a deliberate fabrication intended to justify outlawing Telegram and forcing citizens onto a state-controlled messaging platform engineered for mass surveillance and censorship," it said in an emailed response.

Read more of this story at Slashdot.

Fossil fuels produce NO2, which is linked to asthma attacks, bronchitis, and higher risks of heart disease and stroke, according the EV news site Electrek. But the nonprofit news site Grist.org notes a new analysis showing that those emissions decreased by 1.1% for every increase of 200 electric vehicles — across nearly 1,700 ZIP codes. "A pretty small addition of cars at the ZIP code level led to a decline in air pollution," said Sandrah Eckel, a public health professor at the University of Southern California's Keck School of Medicine and lead author of the study. "It's remarkable." The study was done at the University of Southern California's medical school, by researchers using high-resolution satellite data, reports Electrek: The study, just published in The Lancet Planetary Health and partly funded by the National Institutes of Health, adds rare real-world evidence to a claim that's often taken for granted — that EVs don't just cut carbon over time, they also improve local air quality right now... The researchers ran multiple checks to make sure the trend wasn't driven by unrelated factors. They accounted for pandemic-era changes by excluding 2020 in some analyses and controlling for gas prices and work-from-home patterns. They also saw the expected counterexample: neighborhoods that added more gas-powered vehicles experienced increases in pollution. The findings were then replicated using updated ground-level air monitoring data dating back to 2012... Next, the researchers plan to compare EV adoption with asthma-related emergency room visits and hospitalizations. If those trends line up, it could provide some of the clearest evidence yet of what we already know: that electrifying transportation doesn't just clean the air on paper; it improves public health in practice. Thanks to long-time Slashdot reader jhoegl for sharing the article.

Read more of this story at Slashdot.