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China funded research could help video app's new American operators cut costs by 40 percent

Before Larry Ellison, Michael Dell and Rupert Murdoch put pen to paper to take over TikTok’s US operations from ByteDance, they might want to consider that one of the Chinese company’s network boffins thinks the app and others like it create “massive data wastage”.…

Longtime Slashdot reader hackingbear writes: The Chinese People's Liberation Army Navy (PLAN) has demonstrated its ability to launch and recover aircraft from its first electromagnetic catapult-equipped aircraft carrier, the CNS Fujian. Official imagery released by the PLAN today confirms that the new J-35 naval stealth fighters, KJ-600 airborne early warning and control aircraft, and J-15T fighter jet are carrying out carrier trials. Ben Lewis, a co-founder of PLATracker, told USNI News that the test was a "significant milestone" for the Chinese military's carrier program. "Once operational, the PLAN will have the capacity to field fifth-generation stealth carrier aircraft, supported by fixed-wing carrier-based airborne early warning and command aircraft, across the first island chain and Western Pacific Ocean," Lewis said. Electromagnetic catapults offer several advantages, not least the fact that they can be more finely tuned to very different aircraft types, including ones that are larger and slower (like the KJ-600), or which are smaller and lighter, such as smaller drones. In contrast to the U.S. Navy, which gathered decades of experience with steam-powered catapults, China opted for electromagnetic ones for its first catapult-equipped carrier. It's worth noting that the U.S. Navy's USS Gerald R. Ford was the first carrier ever to get an aircraft into the air using what is also referred to as an electromagnetic aircraft launch system (EMALS). However, it has not launched an F-35C so far, making the J-35 the first stealth jet to achieve this feat. Based on earlier predictions, the F-35C may not do the same for some years.

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The Supreme Court has temporarily allowed President Trump to fire Rebecca Slaughter, the last Democrat on the FTC. "The court's action is technically temporary, since the justices said they will hear arguments in the case in December, but every indication is that the conservative court majority will use the case to reverse a major Supreme Court precedent that dates back almost a century," reports NPR. From the report: Congress created the FTC and lots of other agencies to be multi-member, bipartisan regulatory agencies. And the Supreme Court in 1935 upheld those statutes ruling ruled against then-President Franklin D. Roosevelt's claim that he could fire FTC commissioners at will. In a unanimous opinion at the time, the court said Congress acted within its powers in declaring that a commissioner could only be fired for misconduct -- not for a policy disagreement. But now, prodded by President Trump, the court's six-member conservative majority seems poised to remake the way independent agencies operate. And if the handwriting on the wall is as clear as it seems to be, the independent agencies won't be independent. Their membership will be subject to the will of the president. The court's action Monday was hardly subtle. While the lower courts had ruled that the president could not fire Slaughter, under the court's 1935 precedent, the conservative Supreme Court majority allowed the president to fire her. Indeed, her name isn't even on the FTC website anymore. And the court so far has allowed Trump to fire other agency board members. In short, the justices are not playing hide-the-ball. And it's a good bet that the court will reverse the 1935 precedent, which until now had been reaffirmed multiple times. The result will be that whereas in the past, these agencies had to be bipartisan, with a minority of opposition party members, now there will be no such requirement. In short, Trump can name all the agency members. And if his successor is a Democrat, he or she can fire all the Republicans.

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Signatories include 10 Nobel Prize winners

ai-pocalypse Ten Nobel Prize winners are among the more than 200 people who've signed a letter calling on the United Nations to define and enforce “red lines” that prohibit some uses of AI.…

The Moon is rusting -- and it's Earth's fault. Nature: Scientists have found that oxygen particles blown from Earth to the Moon can turn lunar minerals into hematite, also known as rust. The discovery adds to researchers' growing understanding of the deep interconnection between Earth and the Moon -- and shows how the Moon keeps a geological record of those interactions, says Ziliang Jin, a planetary scientist at Macau University of Science and Technology in China. He and his colleagues reported their findings earlier this month in Geophysical Research Letters. Most of the time, both Earth and the Moon are bathed in a stream of charged particles emanating from the Sun. But for around five days each month, Earth passes between the Sun and the Moon, blocking most of the flood of solar particles. During that time, the Moon is exposed mainly to particles that had been part of Earth's atmosphere before blowing into space -- a phenomenon known as Earth wind. That wind contains ions of various elements, including hydrogen, oxygen and nitrogen. When those charged particles hit the Moon, they can implant themselves into the upper layers of lunar soil and trigger chemical reactions.

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Google is rolling out its Gemini AI assistant to Google TV, bringing conversational AI to over 300 million devices. Users will be able to ask Gemini for help with TV recommendations, show recaps, reviews, or even general tasks like homework help, vacation planning, or learning new skills. TechCrunch reports: The company stresses that Gemini's addition doesn't mean that you won't be able to do the same things you used to be able to do through the (non-AI) Google Assistant integration. Those commands will still work, says Google. The Gemini rollout to Google TV begins on the TCL QM9K series starting today. Later in the year, Gemini will arrive on the Google TV Streamer, Walmart onn 4K Pro, 2025 Hisense U7, U8, and UX models, and 2025 TCL QM7K, QM8K, and X11K models. More functionality will be added over time.

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iFixit's teardown of Apple's iPhone Air reveals a device dominated by its battery, which occupies approximately two-thirds of the internal space while critical components including the logic board cluster at the top. The battery matches the component used in Apple's iPhone Air MagSafe battery pack and can be swapped between devices. The top-heavy component layout addresses the bendgate vulnerability that damaged logic boards in previous thin iPhone models when pressure was applied to the device's middle section. Despite the iPhone Air's thinner profile, iFixit awarded it a 7 out of 10 repairability score, citing reduced component layering that provides more direct access to the USB-C connector, battery, and other serviceable parts compared to standard iPhone models. The dual-entry system further contributes to the device's serviceability.

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An anonymous reader quotes a report from Fortune: The dramatic rise in unemployment among Americans under 25 -- especially recent graduates -- has become one of the most troubling economic headlines of 2025. Recent insights from economists, central bankers, and labor market analysts signal that this appears to be a uniquely American challenge, underpinned by a "no hire, no fire" economy rather than solely by the rapid ascent of artificial intelligence. For many Gen Z workers, the struggle to land a job can feel isolating and fuel self-doubt. But that frustration recently got some high-level validation: Federal Reserve Chair Jerome Powell echoed economists' concerns about the cooling labor market, telling reporters at his regular press conference following the Federal Open Market Committee that it's an "interesting labor market" right now, adding that "kids coming out of college and younger people, minorities, are having a hard time finding jobs." Noting a low job finding rate, along with a low redundancy rate, he said, "you've got a low firing, low hiring environment." and noting that it's harder than ever for young jobseekers to break in. While recent months have been dubbed by Deutsche Bank "the summer AI turned ugly," and some major studies find AI adoption disrupting some entry-level roles, Powell was less sure. AI "may be part of the story," but he insisted the main drivers are a broadly slowed economy and hiring restraint. Top economists at Goldman Sachs and UBS tackled the subject soon after and found Powell to be mostly on the money. This isn't an AI story, at least not yet. "The U.S. labor market experience is peculiar," said Paul Donovan, UBS Chief Economist. "Young Euro area workers have a record low unemployment rate. In the UK, the young persons' unemployment rate has fallen steadily. Employment participation by young Japanese workers is near all-time highs. It seems highly implausible that AI uniquely hurts the employment prospects of younger US workers." "It might be tempting to blame technology... Machines, robots, or computers replacing humans is an ever-popular dystopian scenario." Donovan concludes that the U.S. pattern "more convincingly fits a broader hiring freeze narrative, affecting new entrants to the workforce." Goldman Sachs economist Pierfrancesco Mei said last Thursday that "finding a job takes longer in a low-turnover labor market." He argued that "job reallocation," or the pace at which new jobs are created and existing ones destroyed, has been on the decline since the late 1990s... "almost all the variation in turnover since the Great Recession mostly falls on younger workers" and is taking place as "churn." Goldman found that in 2019, it took a young unemployed worker about 10 weeks to find a new job in a low-churn state; now that's 12 weeks on average.

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Misalignment risk? That's an area for future study

Google DeepMind added a new AI threat scenario - one where a model might try to prevent its operators from modifying it or shutting it down - to its AI safety document. It also included a new misuse risk, which it calls "harmful manipulation."…

Promises, promises

analysis OpenAI and Nvidia have signed a letter of intent wherein OpenAI agrees to buy at least 10 gigawatts of Nvidia systems for its datacenters, while the AI arms dealer returns the favor with an investment of up to $100 billion in the house that Altman built.…

LinkedIn has said it will start using some member profiles, posts, resumes and public activity to train its AI models from November 3, 2025. From a report: Users are rightly frustrated with the change, with the biggest concern isn't the business networking platform will do so, but that it's set to be enabled by default, with users instead having to actively opt out. Users can choose to opt out via the 'data for generative AI improvement' setting, however it will only apply to data collected after they opt out, with data up until that point still retained within the training environment.

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