An anonymous reader quotes a report from Ars Technica: Researchers at Harvard University led the study, and it included nearly 58,000 adults in Japan who were followed for up to a year using a database of medical records from routine checkups. Researchers found that when people switched from being nondrinkers to drinkers during the study, they saw a drop in their "bad" cholesterol -- aka low-density lipoprotein cholesterol or LDL. Meanwhile, their "good" cholesterol -- aka high-density lipoprotein cholesterol or HDL -- went up when they began imbibing. HDL levels went up so much, that it actually beat out improvements typically seen with medications, the researchers noted. On the other hand, drinkers who stopped drinking during the study saw the opposite effect: Upon giving up booze, their bad cholesterol went up and their good cholesterol went down. The cholesterol changes scaled with the changes in drinking. That is, for people who started drinking, the more they started drinking, the lower their LDL fell and higher their HDL rose. In the newly abstaining group, those who drank the most before quitting saw the biggest changes in their lipid levels. Specifically, people who went from drinking zero drinks to 1.5 drinks per day or less saw their bad LDL cholesterol fall 0.85 mg/dL and their good HDL cholesterol go up 0.58 mg/dL compared to nondrinkers who never started drinking. For those that went from zero to 1.5 to three drinks per day, their bad LDL dropped 4.4 mg/dL and their good HDL rose 2.49 mg/dL. For people who started drinking three or more drinks per day, their LDL fell 7.44 mg/dL and HDL rose 6.12 mg/dL. For people who quit after drinking 1.5 drinks per day or less, their LDL rose 1.10 mg/dL and their HDL fell by 1.25 mg/dL. Quitting after drinking 1.5 to three drinks per day, led to a rise in LDL of 3.71 mg/dL and a drop in HDL of 3.35. Giving up three or more drinks per day led to an LDL increase of 6.53 mg/dL and a drop in HDL of 5.65. The study has been published in JAMA Network Open.

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Netflix has deployed AI upscaling on the 1987-1993 sitcom "A Different World," resulting in significant visual artifacts documented by technology commentator Scott Hanselman. The AI processing, intended to enhance the original 360p footage for modern displays, has generated distortions resembling "lava lamp effects" on actors' bodies, improperly rendered mouths, and misshapen background objects including posters and tennis rackets. This marks Netflix's second controversial AI implementation in recent months, following December's AI-powered dubbing and mouth morphing on "La Palma."

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Google says its new open-source AI model, Gemma 3, achieves nearly the same performance as DeepSeek AI's R1 while using just one Nvidia H100 GPU, compared to an estimated 32 for R1. ZDNet reports: Using "Elo" scores, a common measurement system used to rank chess and athletes, Google claims Gemma 3 comes within 98% of the score of DeepSeek's R1, 1338 versus 1363 for R1. That means R1 is superior to Gemma 3. However, based on Google's estimate, the search giant claims that it would take 32 of Nvidia's mainstream "H100" GPU chips to achieve R1's score, whereas Gemma 3 uses only one H100 GPU. Google's balance of compute and Elo score is a "sweet spot," the company claims. In a blog post, Google bills the new program as "the most capable model you can run on a single GPU or TPU," referring to the company's custom AI chip, the "tensor processing unit." "Gemma 3 delivers state-of-the-art performance for its size, outperforming Llama-405B, DeepSeek-V3, and o3-mini in preliminary human preference evaluations on LMArena's leaderboard," the blog post relates, referring to the Elo scores. "This helps you to create engaging user experiences that can fit on a single GPU or TPU host." Google's model also tops Meta's Llama 3's Elo score, which it estimates would require 16 GPUs. (Note that the numbers of H100 chips used by the competition are Google's estimate; DeepSeek AI has only disclosed an example of using 1,814 of Nvidia's less-powerful H800 GPUs to server answers with R1.) More detailed information is provided in a developer blog post on HuggingFace, where the Gemma 3 repository is offered.

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Saudi Arabia's Public Investment Fund (PIF) is acquiring Nianticâ(TM)s gaming division for $3.5 billion through its subsidiary Savvy Games Group. Niantic's titles include the hit mobile game Pokemon Go, Monster Hunter Now and Pikmin Bloom. "Despite launching almost a decade ago, Pokemon Go is still amongst the highest-grossing mobile games in the world, with 30 million monthly players," notes the BBC. From the report: Scopely is one of the biggest names in mobile gaming, with its most successful title, Monopoly Go, being downloaded more than 50 million times and generating more than $3 billion in revenue. Pokemon itself is jointly owned by Nintendo, Game Freak and Creatures, which licensed the brand to Niantic so it could develop the game. Ed Wu, who leads the Pokemon Go team at Niantic, said in a blog post he believed the move was "a positive step" for the game's future. "Pokemon Go is more than just a game to me, it's my life's work," he said. "I won't say that Pokemon Go will remain the same, because it has always been a work in progress. But how we create and evolve it will remain unchanged, and I hope that we can make the experience even better."

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According to The Verge, Sonos has abandoned its plans to release a streaming video player this year. From the report: The news was announced by the company's leadership during an all-hands call today. That product, codenamed Pinewood, was set to be Sonos' next major hardware launch. It was already deep into development and has spent months in beta testing. But now the team behind it will be reassigned to other projects as interim CEO Tom Conrad reprioritizes the company's future roadmap and continues what he hopes will be a turnaround from a bruising 2024. He told employees that a push into video from Sonos is off the table "for now." [...] Pinewood was designed to offer many of the same streaming video apps as other devices on the market along with deep universal search and content aggregation. But as I reported last month, Sonos also intended for it to double as an HDMI switcher and support passthrough functionality for gaming consoles, 4K Blu-ray players, and more. The box was also set to allow new configurations of surround sound systems using Sonos' many speakers.

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An anonymous reader quotes a report from the EFF: EFF is deeply saddened to learn of the passing of Mark Klein, a bona fide hero who risked civil liability and criminal prosecution to help expose a massive spying program that violated the rights of millions of Americans. Mark didn't set out to change the world. For 22 years, he was a telecommunications technician for AT&T, most of that in San Francisco. But he always had a strong sense of right and wrong and a commitment to privacy. When the New York Times reported in late 2005 that the NSA was engaging in spying inside the U.S., Mark realized that he had witnessed how it was happening. He also realized that the President was not telling Americans the truth about the program. And, though newly retired, he knew that he had to do something. He showed up at EFF's front door in early 2006 with a simple question: "Do you folks care about privacy?" We did. And what Mark told us changed everything. Through his work, Mark had learned that the National Security Agency (NSA) had installed a secret, secure room at AT&T's central office in San Francisco, called Room 641A. Mark was assigned to connect circuits carrying Internet data to optical "splitters" that sat just outside of the secret NSA room but were hardwired into it. Those splitters -- as well as similar ones in cities around the U.S. -- made a copy of all data going through those circuits and delivered it into the secret room. Mark not only saw how it works, he had the documents to prove it. He brought us over a hundred pages of authenticated AT&T schematic diagrams and tables. Mark also shared this information with major media outlets, numerous Congressional staffers, and at least two senators personally. One, Senator Chris Dodd, took the floor of the Senate to acknowledge Mark as the great American hero he was.

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New submitter CInder123 shares a report from TechSpot: Apple is undertaking one of the most significant software overhauls in its history, aiming to revamp the user interface across iPhone, iPad, and Mac devices. This ambitious update, set for release later this year, will fundamentally transform the look and feel of Apple's operating systems, enhancing consistency and the user experience. The updates are part of iOS 19 and iPadOS 19, codenamed "Luck," and macOS 16, dubbed "Cheer," according to Bloomberg's Mark Gurman. He cited sources who requested anonymity since the project has yet to be officially announced. These major upgrades will introduce a new design language while simplifying navigation and controls. Apple's push for consistency across platforms aims to create a seamless user experience when switching between devices. Currently, applications, icons, and window styles vary significantly across macOS, iOS, and visionOS, leading to a disjointed experience.

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Intel has appointed Lip-Bu Tan as its new CEO in an effort to turn around the struggling chipmaker, following the resignation of Pat Gelsinger. CNBC reports: Tan was previously CEO of Cadence Design Systems, which makes software used by all the major chip designers, including Intel. He was an Intel board member but departed last year, citing other commitments. Tan replaces interim co-CEOs David Zinsner and MJ Holthaus, who took over in December when former Intel CEO Patrick Gelsinger was ousted. Tan is also rejoining Intel's board. [...] Intel shares rose over 12% in extended trading on Wednesday.

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An anonymous reader quotes a report from Ars Technica: On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants. [...] Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems. For example, with Gemini Robotics, you can ask a robot to "pick up the banana and put it in the basket," and it will use a camera view of the scene to recognize the banana, guiding a robotic arm to perform the action successfully. Or you might say, "fold an origami fox," and it will use its knowledge of origami and how to fold paper carefully to perform the task. In 2023, we covered Google's RT-2, which represented a notable step toward more generalized robotic capabilities by using Internet data to help robots understand language commands and adapt to new scenarios, then doubling performance on unseen tasks compared to its predecessor. Two years later, Gemini Robotics appears to have made another substantial leap forward, not just in understanding what to do but in executing complex physical manipulations that RT-2 explicitly couldn't handle. While RT-2 was limited to repurposing physical movements it had already practiced, Gemini Robotics reportedly demonstrates significantly enhanced dexterity that enables previously impossible tasks like origami folding and packing snacks into Zip-loc bags. This shift from robots that just understand commands to robots that can perform delicate physical tasks suggests DeepMind may have started solving one of robotics' biggest challenges: getting robots to turn their "knowledge" into careful, precise movements in the real world. DeepMind claims Gemini Robotics "more than doubles performance on a comprehensive generalization benchmark compared to other state-of-the-art vision-language-action models." Google is advancing this effort through a partnership with Apptronik to develop next-generation humanoid robots powered by Gemini 2.0. Availability timelines or specific commercial applications for the new AI models were not made available.

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The abstract of a paper published on National Bureau of Economic Research: We document that, after remaining almost constant for almost 30 years, real labor productivity at U.S. restaurants surged over 15% during the COVID pandemic. This surge has persisted even as many conditions have returned to pre-pandemic levels. Using mobile phone data tracking visits and spending at more than 100,000 individual limited service restaurants across the country, we explore the potential sources of the surge. It cannot be explained by economies of scale, expanding market power, or a direct result of COVID-sourced demand fluctuations. The restaurants' productivity growth rates are strongly correlated, however, with reductions in the amount of time their customers spend in the establishments, particularly with a rising share of customers spending 10 minutes or less. The frequency of such 'take-out' customers rose considerably during COVID, even at fast food restaurants, and never went back down. The magnitude of the restaurant-level relationship between productivity and customer dwell time, if applied to the aggregate decrease in dwell time, can explain almost all of the aggregate productivity increase in our sample.

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D-Wave researchers have published findings in Science demonstrating what they call "quantum supremacy" by showing their quantum annealers can solve problems beyond the reach of classical computers. The team, led by Andrew D. King, demonstrated area-law scaling of entanglement in model quench dynamics of two-, three- and infinite-dimensional spin glasses. The research shows quantum annealers rapidly generating samples that closely match solutions to the Schrodinger equation, supporting observed stretched-exponential scaling in matrix-product-state approaches. According to the paper, D-Wave's processors completed these magnetic materials simulations in under 20 minutes, while the same calculations would require nearly a million years on Oak Ridge National Laboratory's supercomputers. The claim hasn't gone unchallenged. Miles Stoudenmire from the Flatiron Institute's Center for Computational Quantum Physics argues that classical computers can achieve comparable results using methods developed since D-Wave's initial findings. "We're just saying, 'Look, this one problem at this one time didn't beat classical computers. Try again,'" Stoudenmire noted. The quantum computing community has increasingly shifted terminology from "supremacy" to "advantage" or "utility," focusing on solving practical business or scientific problems faster, more accurately, or more economically than classical alternatives.

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Several Asian airlines have tightened restrictions on portable battery chargers amid growing concerns about fire risks, following a January blaze that destroyed an Air Busan aircraft in South Korea. South Korean airlines now require passengers to keep portable chargers within arm's reach rather than in overhead bins, a rule implemented March 1 to ease public anxiety, according to the Transportation Ministry. Taiwan's EVA Air and China Airlines have banned using or charging power banks on flights but still allow them in overhead compartments. Thai Airways announced a similar ban last Friday, citing "incidents of in-flight fires on international airlines." Battery-related incidents on U.S. airlines have increased from 32 in 2016 to 84 last year, with portable chargers identified as the most common culprit, according to Federal Aviation Administration data. The International Civil Aviation Organization has banned lithium-ion batteries from cargo holds since 2016, though no industry standard exists for regulating power banks.

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Global sales of smartwatches have fallen for the first time, new figures indicate, in large part due to a sharp decline in the popularity of market leader, Apple. From a report: Market research firm Counterpoint says 7% fewer of the devices were shipped in 2024 compared to the year before. Shipments of Apple Watches fell by 19% in that period, Counterpoint says. It blames the slump on a lack of new features in Apple's latest devices, and the fact a rumoured high-end Ultra 3 model never materialised.

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The Federal Trade Commission asked a judge in Seattle to delay the start of its trial accusing Amazon of duping consumers into signing up for its Prime program, citing resource constraints. CNBC: Attorneys for the FTC made the request during a status hearing on Wednesday before Judge John Chun in the U.S. District Court for the Western District of Washington. Chun had set a Sept. 22 start date for the trial. Jonathan Cohen, an attorney for the FTC, asked Chun for a two-month continuance on the case due to staffing and budgetary shortfalls. The FTC's request to delay due to staffing constraints comes amid a push by the Trump administration's Department of Government Efficiency to reduce spending. DOGE, which is led by tech baron Elon Musk, has slashed the federal government's workforce by more than 62,000 workers in February alone. "We have lost employees in the agency, in our division and on our case team," Cohen said.

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Schools across the United States are increasingly using artificial intelligence to monitor students' online activities, raising significant privacy concerns after Vancouver Public Schools inadvertently released nearly 3,500 unredacted, sensitive student documents to reporters. The surveillance software, developed by companies like Gaggle Safety Management, scans school-issued devices 24/7 for signs of bullying, self-harm, or violence, alerting staff when potential issues are detected. Approximately 1,500 school districts nationwide use Gaggle's technology to track six million students, with Vancouver schools paying $328,036 for three years of service. While school officials maintain the technology has helped counselors intervene with at-risk students, documents revealed LGBTQ+ students were potentially outed to administrators through the monitoring.

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IBM CEO Arvind Krishna has publicly disagreed with Anthropic CEO Dario Amodei's prediction that AI will write 90% of code within 3-6 months, estimating instead that only "20-30% of code could get written by AI." "Are there some really simple use cases? Yes, but there's an equally complicated number of ones where it's going to be zero," Krishna said during an onstage interview at SXSW. He argued AI will boost programmer productivity rather than eliminate jobs. "If you can do 30% more code with the same number of people, are you going to get more code written or less?" he asked. "History has shown that the most productive company gains market share, and then you can produce more products."

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Roomba maker iRobot has warned it may cease operations within 12 months unless it can refinance debt or find a buyer, just one day after launching a new vacuum cleaner line. In its March 12 quarterly report, the company disclosed it had spent $3.6 million to amend terms on a $200 million Carlyle Group loan from 2023, as U.S. revenue plunged 47% in the fourth quarter. "Given these uncertainties and the implication they may have on the Company's financials, there is substantial doubt about the Company's ability to continue as a going concern for a period of at least 12 months from the date of the issuance of its consolidated 2024 financial statements," the company wrote. The robot vacuum pioneer has initiated a formal strategic review after a failed Amazon acquisition, the departure of founder Colin Angle, and layoffs affecting over half its workforce. iRobot cited mounting competition from Chinese manufacturers and expects continued losses for "the foreseeable future."

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Morgan Stanley has reduced its iPhone shipment forecasts after Apple confirmed the delay of a more advanced Siri personal assistant, dampening prospects for accelerating phone upgrades. The investment bank now predicts 230 million iPhone shipments in 2025 (flat year-over-year) and 243 million in 2026 (up 6%), down from previous estimates. An upgraded Siri was the most sought-after Apple Intelligence feature among prospective buyers, according to the bank's survey data. "Access to Advanced AI Features" appeared as a top-five driver of smartphone upgrades for the first time, with about 50% of iPhone owners who didn't upgrade to iPhone 16 citing the delayed Apple Intelligence rollout as affecting their decision. The firm also incorporated headwinds from China tariffs in its assessment, noting Apple is unlikely to fully offset these costs without broader exemptions.

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Amazon, Alphabet's Google and Meta Platforms on Wednesday said they support efforts to at least triple nuclear energy worldwide by 2050. From a report: The tech companies signed a pledge first adopted in December 2023 by more than 20 countries, including the U.S., at the U.N. Climate Change Conference. Financial institutions including Bank of America, Goldman Sachs and Morgan Stanley backed the pledge last year. The pledge is nonbinding, but highlights the growing support for expanding nuclear power among leading industries, finance and governments. Amazon, Google and Meta are increasingly important drivers of energy demand in the U.S. as they build out AI centers. The tech sector is turning to nuclear power after concluding that renewables alone won't provide enough reliable power for their energy needs. Microsoft and Apple did not sign the statement.

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An anonymous reader quotes a report from The Register: New York State has sued Allstate Insurance for operating websites so badly designed they would deliver personal information in plain-text to anyone that went looking for it. The data was lifted from Allstate's National General business unit, which ran a website for consumers who wanted to get a quote for a policy. That task required users to input a name and address, and once that info was entered, the site searched a LexisNexis Risk Solutions database for data on anyone who lived at the address provided. The results of that search would then appear on a screen that included the driver's license number (DLN) for the given name and address, plus "names of any other drivers identified as potentially living at that consumer's address, and the entire DLNs of those other drivers." Naturally, miscreants used the system to mine for people's personal information for fraud. "National General intentionally built these tools to automatically populate consumers' entire DLNs in plain text -- in other words, fully exposed on the face of the quoting websites -- during the quoting process," the court documents [PDF] state. "Not surprisingly, attackers identified this vulnerability and targeted these quoting tools as an easy way to access the DLNs of many New Yorkers," according to the lawsuit. The digital thieves then used this information to "submit fraudulent claims for pandemic and unemployment benefits," we're told. ... [B]y the time the insurer resolved the mess, crooks had built bots that harvested at least 12,000 individuals' driver's license numbers from the quote-generating site.

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