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An anonymous reader quotes a report from Ars Technica: Musi, a free music streaming app that had tens of millions of iPhone downloads and garnered plenty of controversy over its method of acquiring music, has lost an attempt to get back on Apple's App Store. A federal judge dismissed Musi's lawsuit against Apple with prejudice and sanctioned Musi's lawyers for "mak[ing] up facts to fill the perceived gaps in Musi's case." Musi built a streaming service without striking its own deals with copyright holders. It did so by playing music from YouTube, writing in its 2024 lawsuit against Apple that "the Musi app plays or displays content based on the user's own interactions with YouTube and enhances the user experience via Musi's proprietary technology." Musi's app displayed its own ads but let users remove them for a one-time fee of $5.99. Musi claimed it complied with YouTube's terms, but Apple removed it from the App Store in September 2024. Musi does not offer an Android app. Musi alleged that Apple delisted its app based on "unsubstantiated" intellectual property claims from YouTube and that Apple violated its own Developer Program License Agreement (DPLA) by delisting the app. Musi was handed a resounding defeat yesterday in two rulings from US District Judge Eumi Lee in the Northern District of California. Lee found that Apple can remove apps "with or without cause," as stipulated in the developer agreement. Lee wrote (PDF): "The plain language of the DPLA governs because it is clear and explicit: Apple may 'cease marketing, offering, and allowing download by end-users of the [Musi app] at any time, with or without cause, by providing notice of termination.' Based on this language, Apple had the right to cease offering the Musi app without cause if Apple provided notice to Musi. The complaint alleges, and Musi does not dispute, that Apple gave Musi the required notice. Therefore, Apple's decision to remove the Musi app from the App Store did not breach the DPLA."

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Researchers map full org chart of the scam from dodgy recruiters to helpful Western collaborators

Researchers at IBM X‑Force and Flare Research have uncovered data that sheds light on how North Korea's fake IT worker schemes operate and infiltrate companies in order to funnel money back to the regime and steal sensitive information.…

Strong forces tempting humans out of the AI loop, and reducing the experience needed to supervise and review

QCon London AI is in a dangerous state where it is too useful not to use, but where by using it, developers are giving up the experience they need to review what it does, said a speaker at QCon London, a vendor-neutral developer conference underway this week.…

Automatic deployment of Redmond's assistant halted for now

Microsoft has paused plans to force the Microsoft 365 Copilot app on users, halting automatic installations for an unspecified period.…

No 1 Space Operations Squadron will get a persistent stare capability

The Ministry of Defence (MoD) plans to spend £17.5 million on a remotely-operated satellite monitoring facility in Cyprus, partly to protect the UK's secure communications system Skynet.…

Median employee increase? 2.1%. And shareholders urged to vote against a request for AI bias reporting

Not all employees are created equally, just ask IBM boss Arvind Krishna, who received a financial package valued at $38 million in calendar 2025 - equivalent to the average collective pay of 765 Big Blue workers.…

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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