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Analysts say three-screen smartphone successful as a proof of concept, memory crunch potentially made it unsustainable

Samsung is killing the Galaxy Z TriFold smartphone after just three months on the market.…

sciencehabit shares a report from Science.org: In The Martian, fictional astronaut Mark Watney survives the wasteland of Mars by growing potatoes in lunar soil -- with a bit of help from human poop. The idea may not be so far-fetched. In a preprint posted this month on bioRxiv, researchers show potatoes can indeed grow in the equivalent of Moon dust, though they need a lot of help from compost found on Earth. To make the discovery, scientists first had to re-create lunar regolith -- the loose, powdery layer that blankets the Moon's surface. To replicate that in the lab, David Handy, a space biologist at Oregon State University (OSU), and his colleagues used a mix of crushed minerals and volcanic ash that matched the chemistry of the Moon. But lunar regolith is entirely devoid of the organic matter that plants need to grow. "Turning an inorganic, inhospitable bucket of glorified sand into something that can support plant growth is complex," says Anna-Lisa Paul, a plant molecular biologist at the University of Florida not involved with the work. So Handy and his colleagues added vermicompost -- organic waste from worms -- into the regolith. They found that a mix with 5% compost allowed the potatoes to grow while still emulating the stressful conditions of the lunar environment. After almost 2 months of growth, the team harvested the tubers, freeze-dried them, and ground them up for further testing. Analysis of the potatoes' DNA showed stress-related genes had been activated. The potatoes also had higher concentrations of copper and zinc than Earth-grown ones, which may make them dangerous for human consumption. The plants' nutritional value, though, was similar to traditional potatoes -- a surprise to the scientists, who expected lower levels of nutrition "because the plants might have been working overtime to overcome certain stressors," Handy says.

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Three is the magic number as first off-the-shelf general-purpose ternary hardware since c 1965 lands

The 5500FP is a ternary CPU implemented on an FPGA. It's not very fast, but it makes it easier to experiment with computers that don't use binary.…

24 execs sign open letter demanding control-based definitions and reserved procurement

Execs from 24 European cloud and digital service providers are urging the European Commission to legislate for real tech sovereignty – not the illusion of it – in the upcoming Cloud and AI Development Act (CADA).…

Even without a navy, or air power, 'They'll still have the ability to hack'

Businesses should expect that Iran will conduct more aggressive cyber-ops as the war escalates, according to security analysts.…

Nvidia unveiled its Vera Rubin Space-1 system for powering AI workloads in orbital data centers. "Space computing, the final frontier, has arrived," said CEO Jensen Huang. "As we deploy satellite constellations and explore deeper into space, intelligence must live wherever data is generated." CNBC reports: In a press release, the company said that its Vera Rubin Space-1 Module, which includes the IGX Thor and Jetson Orin, will be used on space missions led by multiple companies. The chips are specifically "engineered for size-, weight- and power-constrained environments." Partners include Axiom Space, Starcloud and Planet. Huang said Nvidia is working with partners on a new computer for orbital data centers, but there are still engineering hurdles to overcome. "In space, there's no convection, there's just radiation," Huang said during his GTC keynote, "and so we have to figure out how to cool these systems out in space, but we've got lots of great engineers working on it."

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Compute, storage, and SaaS all slugged - even on Alibaba's own silicon

Alibaba Cloud today informed users it will increase prices for many services by up to 34 percent.…

'Rozum' orchestrates multiple flaky models and drives them to reasonable conclusions

Tech companies have in recent years developed a reputation for being rapacious rent-seekers, but can also be unwittingly generous because their penchant to prioritize popularity over quality leaves room for others to sell improvements or repairs.…

Big Tech donates $12.5 million to get things rolling

Half a dozen Big Tech players have together delivered $12.5 million in grants towards a project that aims to help maintainers of open source projects to cope with AI slop bug reports.…

An anonymous reader quotes a report from 404 Media, written by Jason Koebler: Over the last few months, various academics and AI companies have attempted to predict how artificial intelligence is going to impact the labor market. These studies, including a high-profile paper published by Anthropic earlier this month, largely try to take the things AI is good at, or could be good at, and match them to existing job categories and job tasks. But the papers ignore some of the most impactful and most common uses of AI today: AI porn and AI slop. Anthropic's paper, called "Labor market impacts of AI: A new measure and early evidence," essentially attempts to find 1:1 correlations between tasks that people do today at their jobs and things people are using Claude for. The researchers also try to predict if a job's tasks "are theoretically possible with AI," which resulted in this chart, which has gone somewhat viral and was included in a newsletter by MSNOW's Phillip Bump and threaded about by tech journalist Christopher Mims. (Because everything is terrible, the research is now also feeding into a gambling website where you can see the apparent odds of having your job replaced by AI.) In his thread, Mims makes the case that the "theoretical capability" of AI to do different jobs in different sectors is totally made up, and that this chart basically means nothing. Mims makes a good and fair observation: The nature of the many, many studies that attempt to predict which people are going to lose their jobs to AI are all flawed because the inputs must be guessed, to some degree. But I believe most of these studies are flawed in a deeper way: They do not take into account how people are actually actually using AI, though Anthropic claims that that is exactly what it is doing. "We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavily," the researchers write. This is based in part on the "Anthropic Economic Index," which was introduced in an extremely long paper published in January that tries to catalog all the high-minded uses of AI in specific work-related contexts. These uses include "Complete humanities and social science academic assignments across multiple disciplines," "Draft and revise professional workplace correspondence and business communications," and "Build, debug, and customize web applications and websites." Not included in any of Anthropic's research are extremely popular uses of AI such as "create AI porn" and "create AI slop and spam." These uses are destroying discoverability on the internet, cause cascading societal and economic harms. "Anthropic's research continues a time-honored tradition by AI companies who want to highlight the 'good' uses of AI that show up in their marketing materials while ignoring the world-destroying applications that people actually use it for," argues Koebler. "Meanwhile, as we have repeatedly shown, huge parts of social media websites and Google search results have been overtaken by AI slop. Chatbots themselves have killed traffic to lots of websites that were once able to rely on ad revenue to employ people, so on and so forth..." "This is all to say that these studies about the economic impacts of AI are ignoring a hugely important piece of context: AI is eating and breaking the internet and social media," writes Koebler, in closing. "We are moving from a many-to-many publishing environment that created untold millions of jobs and businesses towards a system where AI tools can easily overwhelm human-created websites, businesses, art, writing, videos, and human activity on the internet. What's happening may be too chaotic, messy, and unpleasant for AI companies to want to reckon with, but to ignore it entirely is malpractice."

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In less polite places, this is called ‘hacking back’ or ‘offensive cyber-ops’

Japan’s government yesterday decided to allow its Self-Defense Force to conduct offensive cyber-operations, starting on October 1st.…

Beijing appears to have eased its policy of pushing local GPUs

GTC Nvidia has called on its supply chain partners to begin manufacturing its ageing H200 GPUs to meet demand for chips in China, CEO Jensen Huang said Tuesday.…

Arizona has filed criminal charges against Kalshi, accusing it of operating an illegal gambling business. "Kalshi may brand itself as a 'prediction market,' but what it's actually doing is running an illegal gambling operation and taking bets on Arizona elections, both of which violate Arizona law," Arizona Attorney General Kris Mayes said in a statement. The case could ultimately head to the Supreme Court to decide whether federal oversight by the Commodity Futures Trading Commission overrides state gambling laws. Bloomberg reports: While state regulators have taken steps to crack down on what they say is unlicensed betting on Kalshi's site, Arizona appears to be the first state to escalate to criminal charges. The charges cited in the complaint are misdemeanors, which carry less serious penalties than felonies. [...] Prediction market exchanges like Kalshi have said they should continue to be regulated by the US Commodity Futures Trading Commission despite opposition from some state officials, who argue the trading should come under state gambling laws. Arizona's criminal complaint follows Kalshi's move last week to block the state's gaming department from taking enforcement action against the company. "These are the first criminal charges of any kind filed against Kalshi in any court in the United States, but it will likely be the first of several," said Daniel Wallach, a sports and gaming attorney.

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Residents in rural Ohio are pushing a constitutional amendment to ban large data centers over 25 megawatts, citing concerns about energy use, water consumption, and lack of transparency around proposed projects. "My biggest concern is because I love Adams County," Nikki Gerber told Cleveland.com. "What it feels like they are doing is just taking advantage of the unzoned rural areas of Ohio, where they can go ahead and put in whatever they want." From the report: Gerber and a handful of residents from Adams and Brown counties gathered about 1,800 signatures in eight days to start the ballot process. They submitted those petitions to the Ohio attorney general's office on Monday. That's the first step before supporters can begin collecting signatures statewide. State law requires at least 1,000 valid voter signatures to begin the process. The petitions must also include the full text of the proposed amendment and a summary explaining what it would do. Attorney General Dave Yost's office now has 10 days to decide whether the summary fairly and truthfully describes the proposal. If it does, the measure will move to the Ohio Ballot Board. Supporters would then need to gather about 413,000 valid signatures by July to place the amendment before voters this November. The report notes that a 25-megawatt limit "would effectively block most modern data centers from being built in Ohio."

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Kyle Orland writes via Ars Technica: Since deep-learning super-sampling (DLSS) launched on 2018's RTX 2080 cards, gamers have been generally bullish on the technology as a way to effectively use machine-learning upscaling techniques to increase resolutions or juice frame rates in games. With yesterday's tease of the upcoming DLSS 5, though, Nvidia has crossed a line from mere upscaling into complete lighting and texture overhauls influenced by "generative AI." The result is a bland, uncanny gloss that has received an instant and overwhelmingly negative reaction from large swaths of gamers and the industry at large. While previous DLSS releases rendered upscaled frames or created entirely new ones to smooth out gaps, Nvidia calls DLSS 5 -- which it plans to launch in Autumn -- "a real-time neural rendering model" that can "deliver a new level of photoreal computer graphics previously only achieved in Hollywood visual effects." Nvidia CEO Jensen Huang said explicitly that the technology melds "generative AI" with "handcrafted rendering" for "a dramatic leap in visual realism while preserving the control artists need for creative expression." Unlike existing generative video models, which Nvidia notes are "difficult to precisely control and often lack predictability," DLSS 5 uses a game's internal color and motion vectors "to infuse the scene with photoreal lighting and materials that are anchored to source 3D content and consistent from frame to frame." That underlying game data helps the system "understand complex scene semantics such as characters, hair, fabric and translucent skin, along with environmental lighting conditions like front-lit, back-lit or overcast," the company says. Nvidia's announcement video and detailed Digital Foundry breakdown can be found at their respective links. "Reactions have compared the effect to air-brushed pornography, 'yassified, looks-maxed freaks,' or those uncanny, unavoidable Evony ads," writes Orland. "Others have noted how DLSS 5 seems to mangle the intended art direction by dampening shadows in favor of a homogenized look." Thomas Was Alone developer Mike Bithell said the technology seems designed "for when you absolutely, positively, donâ(TM)t want any art direction in your gaming experience." Gunfire Games Senior Concept Artist Jeff Talbot added that "in every shot the art direction was taken away for the senseless addition of 'details.' Each DLSS 5 shot looked worse and had less character than the original. This is just a garbage AI Filter." DLSS 5â(TM)s 'AI dogshit is actually depressing,' said New Blood Interactive founder and CEO Dave Oshry, adding that future generations "wonâ(TM)t even know this looks 'bad' or 'wrong' because to them itâ(TM)ll be normal."

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Sell your soul to the orb

Sam Altman has cooked up a plan to make his cryptocurrency/identity/eyeball-scanning-orb venture more useful by – you guessed it – adding agentic AI to the mix. Now the technology behind it will be used to identify the human behind bots.…

An anonymous reader quotes a report from the Wall Street Journal: A battle of insults and threats has broken out between the tech world and Wall Street. What's got everyone so worked up? The same thing that starts most fights: business software. A series of social-media posts went viral in recent days with claims that AI has created a worthy -- and way cheaper -- alternative to the Bloomberg terminal, a computer system that is like oxygen to professional investors. Now "Bloomberg is cooked," some posters argued as they heralded the arrival of a newly released AI tool from startup Perplexity. [...] The finance bros who worship at the altar of Bloomberg have declared war on the tech evangelists who have put all their faith in AI. To suggest that the terminal is replaceable is "laughable," said Jason Lemire, who jumped into the conversation on LinkedIn. (Ironically or not, his post also included an AI-generated image of churchgoers praying to the Bloomberg terminal). "It seems quite obvious to me that those propagating that post are either just looking for easy engagement and/or have never worked in a serious financial institution," he wrote. [...] Morgan Linton, the co-founder and CTO of AI startup Bold Metrics and an avid Perplexity Computer user, said it's rare for a single AI prompt to generate anything close to what Bloomberg does. That said, he added that tools like this can lay "a really good foundation for a financial application. And that really has not been possible before." Others aren't so sure. Michael Terry, an institutional investment manager who used the terminal for more than 30 years, said he used a prompt circulating online to try to vibe code a Bloomberg replica on Anthropic's Claude. "It was laughable at best, horrific at worst," he said. Shevelenko acknowledged there are some aspects of the terminal that can't be replicated with vibe coding, including some of Bloomberg's proprietary data inputs. The live chat network, which includes 350,000 financial professionals in 184 countries, would also be hard to re-create, as well as the terminal's data security, reliability and robust support system. "I love Bloomberg. And I know most people that use Bloomberg are very, very loyal and extremely happy," said Lemire. His message to the techies? "There's nothing that you can vibe code in a weekend or even like over the course of a year that's going to come anywhere close."

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Never attribute to malice what can be adequately explained by one very large org chart

Earlier this month, AWS ended standard support for PostgreSQL 13 on RDS. Customers who want to stay on a supported database — as AWS is actively encouraging them to do — need to upgrade to PostgreSQL 14 or later.…

Samsung is reportedly ending sales of the Galaxy Z TriFold just months after launch, likely due to "high production costs" and limited supply. 9to5Google reports: The Galaxy Z TriFold launched in South Korea barely four months ago, arriving in Samsung's home market ahead of a larger debut in the U.S. and other markets in January. The $2,899 smartphone brought an entirely new form factor to the foldable market, but it's apparently very short-lived. Korean media reports (via SamMobile) that Samsung is planning to end sales of the Galaxy Z TriFold in Korea, with one more restock coming in the country this week. In the United States, the report mentions that the TriFold will be available until "the current production volume is sold out," which sounds like we might only get another restock or two here as well.

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Formal code verification and testing offer a way around AI blind spots

Your AI may need AI to oversee its work. Gallic AI biz Mistral is leaning into making AI code generation more reliable with Leanstral, a coding agent for proofs constructed using the open source Lean programming language.…