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An anonymous reader quotes a report from the Guardian: AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models (LLMs) -- the technology behind platforms such as ChatGPT -- successfully matched anonymous online users with their actual identities on other platforms, based on the information they posted. The AI researchers Simon Lermen and Daniel Paleka said LLMs make it cost effective to perform sophisticated privacy attacks, forcing a "fundamental reassessment of what can be considered private online". In their experiment, the researchers fed anonymous accounts into an AI, and got it to scrape all the information it could. They gave a hypothetical example of a user talking about struggling at school, and walking their dog Biscuit through a "Dolores park." In that hypothetical case, the AI then searched elsewhere for those details and matched @anon_user42 to the known identity with a high degree of confidence. While this example was fictional, the paper's authors highlighted scenarios in which governments use AI to surveil dissidents and activists posting anonymously, or hackers are able to launch "highly personalized" scams.

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Swiss voters overwhelmingly approved a constitutional amendment guaranteeing the right to use physical cash. "The vote means Switzerland will join the likes of Hungary, Slovakia and Slovenia, which have already written the right to cold, hard cash in their constitutions," reports Politico. From the report: Official results revealed that 73.4 percent of voters backed the legal amendment, which the government proposed as a counter to a similar initiative by a group called the Swiss Freedom Movement. The Swiss Freedom Movement triggered the national referendum after its initiative to protect cash collected more than 100,000 signatures, triggering a national referendum. Its initiative secured only 46 percent of the final vote after the government said some of the group's proposed amendments went too far.

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An anonymous reader quotes a report from CBS News: Tonight, we have details of a classified U.S. intelligence mission that has obtained a previously unknown weapon that may finally unlock a mystery. Since at least 2016, U.S. diplomats, spies and military officers have suffered crippling brain injuries. They've told of being hit by an overwhelming force, damaging their vision, hearing, sense of balance and cognition. but the government has doubted their stories. They've been called delusional. Well now, 60 Minutes has learned that a weapon that can inflict these injuries was obtained overseas and secretly tested on animals on a U.S. military base. We've investigated this mystery for nine years. This is our fourth story called, "Targeting Americans." Despite official government doubt, we never stopped reporting because of the haunting stories we heard [...]. 60 Minutes interviewed Dr. David Relman, a scientific expert and professor from Stanford University who was tasked by the government to lead two investigations into the Havana Syndrome cases. What he and his panel of doctors, physicists, engineers and others found was that "the most plausible explanation for a subset of these cases was a form of radiofrequency or microwave energy," the report says. According to confidential sources cited in the report, undercover Homeland Security agents bought a miniaturized microwave weapon from a Russian criminal network in 2024 and tested it on animals at a U.S. military lab. The injuries reportedly matched those seen in the human cases. "Our confidential sources tell us the still classified weapon has been tested in a U.S. military lab for more than a year," says Dr. Relman. "Tests on rats and sheep show injuries consistent with those seen in humans." He continues: "Also, as a separate part of the investigation, security camera videos have been collected that show Americans being hit. The videos are classified but they were described to us. In one, a camera in a restaurant in Istanbul captured two FBI agents on vacation sitting at a table with their families. A man with a backpack walks in and suddenly everyone at the table grabs their head as if in pain. Our sources say another video comes from a stairwell in the U.S. embassy in Vienna. The stairs lead to a secure facility. In the video, two people on the stairs suddenly collapse. Those videos and the weapon were among the reasons the Biden administration summoned about half a dozen victims to the White House with about two months left in the president's term." Former intelligence officials and researchers claim elements of the U.S. government downplayed or dismissed the theory for years, possibly to avoid political consequences of accusing a foreign state like Russia of conducting attacks on American personnel.

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After decades of searching for extraterrestrial intelligence, the nonprofit SETI Foundation has an announcement. "A new study by researchers at the SETI Institute suggests stellar 'space weather' could make radio signals from extraterrestrial intelligence harder to detect." Stellar activity and plasma turbulence near a transmitting planet can broaden an otherwise ultra-narrow signal, spreading its power across more frequencies and making it more difficult to detect in traditional narrowband searches. For decades, many SETI experiments have focused on identifying spikes in frequency — signals unlikely to be produced by natural astrophysical processes. But the new research highlights an overlooked complication: even if an extraterrestrial transmitter produces a perfectly narrow signal, it may not remain narrow by the time it leaves its home system... "If a signal gets broadened by its own star's environment, it can slip below our detection thresholds, even if it's there, potentially helping explain some of the radio silence we've seen in technosignature searches," said Dr. Vishal Gajjar, Astronomer at the SETI Institute and lead author of the paper. The researchers created "a practical framework for estimating how much broadening could occur for different types of stars" — and accounting for space weather — by "using radio transmissions from spacecraft in our own solar system, then extrapolated to other stellar environments." The study's co-author (a SETI Institute research assistant) suggests this coud lead to better-targetted SETI searches. (M-dwarf stars — about 75% of stars in the Milky Way — actually have the highest likelihood that narrowband signals would get broadened before leaving their system...)

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