Technology

"T-Mobile will be shutting down their 2G network beginning next month, making older phones obsolete," writes Slashdot reader Dustin Destree. From the Mobile Report: Most phones today use 4G and 5G, and T-Mobile's 2G service somehow managed to outlive the company's 3G service, which was killed off in 2022. Nonetheless, after postponing a previous shutdown date of April 2nd, we seem to finally have a date for T-Mobile sunsetting its 2G service, and it's pretty soon. T-Mobile has added a date for when its 2G service's capacity and coverage is "expected to change." The service should begin shutdown on September 1st, 2024. The date was quietly added without a major announcement, and it was added sometime after August 5th, as a former Google cache of the page (which has now also been updated) previously showed.

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Starting today, users of the social magazine app Flipboard can follow any federated accounts, "meaning those that participate in the social network of interconnected servers known as the fediverse," writes TechCrunch's Sarah Perez. "This now includes Threads accounts in addition to Mastodon accounts and others." From the report: With the update, which deepens Flipboard's connection with the ActivityPub social graph, any Flipboard user can follow user profiles from any other federated service. If their Flipboard account is also federated, they can interact with those users' posts and participate in conversations, as well. Flipboard's user base, however, is currently undisclosed. [...] The Flipboard app supports full fediverse integration, but the company hasn't yet allowed all users to turn on federation as it's a phased rollout. We're told the goal is to make federation a setting users can select later this year, similar to how Threads added a "fediverse sharing" option in June. When federation is enabled, people will be able to not only share to the fediverse but also see and engage with conversations around their Flipboard posts that are taking place in the fediverse. With Tuesday's update on Flipboard, people can find and follow others in the fediverse across three areas of its app: Search, Explore and Community. In search results, Flipboard will surface federated accounts and profile results in a new section, "Fediverse Accounts." Editorial recommendations can also be found in the app's "Explore" tab under "Fediverse," and every week a new selection of accounts will be featured in the Community section. Activity from the fediverse will also be displayed in the Flipboard notifications panel, allowing people to engage and follow others in the fediverse directly from their notifications. For Flipboard users, that means they can now follow user profiles from Threads and Mastodon in the Flipboard app, including high-profile users like President Joe Biden (POTUS) and former President Barack Obama on Threads, as well as various creators, like Marques Brownlee, and journalists, like Kara Swisher.

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An anonymous reader quotes a report from Ars Technica: Over the past few days, a software package called Deep-Live-Cam has been going viral on social media because it can take the face of a person extracted from a single photo and apply it to a live webcam video source while following pose, lighting, and expressions performed by the person on the webcam. While the results aren't perfect, the software shows how quickly the tech is developing -- and how the capability to deceive others remotely is getting dramatically easier over time. The Deep-Live-Cam software project has been in the works since late last year, but example videos that show a person imitating Elon Musk and Republican Vice Presidential candidate J.D. Vance (among others) in real time have been making the rounds online. The avalanche of attention briefly made the open source project leap to No. 1 on GitHub's trending repositories list (it's currently at No. 4 as of this writing), where it is available for download for free. [...] Like many open source GitHub projects, Deep-Live-Cam wraps together several existing software packages under a new interface (and is itself a fork of an earlier project called "roop"). It first detects faces in both the source and target images (such as a frame of live video). It then uses a pre-trained AI model called "inswapper" to perform the actual face swap and another model called GFPGAN to improve the quality of the swapped faces by enhancing details and correcting artifacts that occur during the face-swapping process. The inswapper model, developed by a project called InsightFace, can guess what a person (in a provided photo) might look like using different expressions and from different angles because it was trained on a vast dataset containing millions of facial images of thousands of individuals captured from various angles, under different lighting conditions, and with diverse expressions. During training, the neural network underlying the inswapper model developed an "understanding" of facial structures and their dynamics under various conditions, including learning the ability to infer the three-dimensional structure of a face from a two-dimensional image. It also became capable of separating identity-specific features, which remain constant across different images of the same person, from pose-specific features that change with angle and expression. This separation allows the model to generate new face images that combine the identity of one face with the pose, expression, and lighting of another.

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National-security authorities have warned for years that today's encryption will become vulnerable to hackers when quantum computers are widely available. Companies can now start to integrate new cryptographic algorithms into their products to protect them from future hacks. From a report: Some companies have already taken steps to replace current forms of encryption with post-quantum algorithms. The National Institute of Standards and Technology, an agency of the Commerce Department, published three new algorithms for post-quantum encryption Tuesday. The three algorithms that NIST selected use different types of encryption to protect digital signatures that authenticates information, and cryptographic key exchange, which keeps data confidential. IBM researchers were part of teams that submitted algorithms that NIST selected. International Business Machines is working with companies in telecommunications, online payments and other industries on how to implement the new standards. "Our digital economy is toast unless people go in and change the cryptography," said Scott Crowder, vice president of IBM's quantum adoption group. The new standards from NIST will be influential because they will replace encryption algorithms in use all over the world, said Joost Renes, principal cryptographer at NXP Semiconductors, a key provider of chips to the auto industry. NXP customers in different industries have been asking about the new encryption algorithms and want to make sure their suppliers are prepared to migrate to post-quantum cryptography, Renes said. He said NXP will start using the algorithms as soon as possible but declined to comment on when that will be. "You should really look at this as a kind of ongoing transition project which is going to take quite some time," he said.

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An anonymous reader shares a report: Despite a law enforcement takedown six months ago, LockBit 3.0 remains the most prolific encryption and extortion gang, at least so far, this year, according to Palo Alto Networks' Unit 42. Of the 53 ransomware groups whose underworld websites, where the crooks name their victims and leak stolen data, that the incident response team monitored, just six accounted for more than half of the total infections observed. For its analysis, Unit 42 reviewed announcements posted on these crews' dedicated leak sites during the first six months of 2024 and counted 1,762 posts, which represents a 4.3 percent year-over-year increase from 2023. Before we get into the top six gangs' victims count, a note on how Unit 42 tracks nation-state and cybercrime groups: It combines a modifier with a constellation. And Scorpius is the lucky constellation that Unit 42 connects to ransomware gangs.

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A rare bid to break up Alphabet's Google is one of the options being considered by the Justice Department after a landmark court ruling found that the company monopolized the online search market, Bloomberg News reported Tuesday, citing sources familiar with the matter. From the report: The move would be Washington's first push to dismantle a company for illegal monopolization since unsuccessful efforts to break up Microsoft two decades ago. Less severe options include forcing Google to share more data with competitors and measures to prevent it from gaining an unfair advantage in AI products, said the people, who asked not to be identified discussing private conversations. Regardless, the government will likely seek a ban on the type of exclusive contracts that were at the center of its case against Google. If the Justice Department pushes ahead with a breakup plan, the most likely units for divestment are the Android operating system and Google's web browser Chrome, said the people. Officials are also looking at trying to force a possible sale of AdWords, the platform the company uses to sell text advertising, one of the people said.

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An anonymous reader shares a report: Google has announced Pixel Screenshots, a new AI-powered app for its Pixel 9 lineup that lets you save, organize, and surface information from screenshots. Pixel Screenshot uses Google's private, on-device Gemini Nano AI model to analyze the content of an image and make it searchable. During a demo at its Pixel launch event, Google showed how you can take a screenshot and then save it to a collection, like "gift ideas." You can also search through all your other screenshots by typing in a keyword, like "bikes" or "shoes." Pixel Screenshots will then pull up all relevant results. Additionally, Pixel Screenshots can give you information about what's inside an image. Further reading: Microsoft Postpones Windows Recall After Major Backlash.

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Google unveiled its latest Pixel smartphone series on Tuesday, introducing four new models with enhanced AI capabilities and updated designs. The Pixel 9 lineup includes the standard Pixel 9, two Pro models, and a foldable device. The new Pixel phones feature flat sides and an elongated camera module on the rear, departing from the curved edges of previous generations. Screen sizes range from 6.3 inches on the standard Pixel 9 to 6.8 inches on the Pixel 9 Pro XL. All models are powered by Google's new Tensor G4 processor and come with increased RAM, with Pro models boasting 16GB. The devices run on Android 14 and will receive seven years of OS updates and security patches. Google has significantly expanded the AI capabilities of the new Pixels. An updated on-device Gemini Nano model can now analyze images and speech in addition to text. New features include automatic screenshot cataloging and retrieval, and an AI-powered illustration generator called Pixel Studio. Camera improvements are a key focus, with all models receiving upgraded ultrawide lenses and the Pro versions featuring a new 42-megapixel selfie camera with autofocus. Google has introduced "Magic Editor," allowing users to transform parts of an image using text prompts and generative AI. The Pixel 9 Pro Fold, Google's second-generation foldable device, is thinner than its predecessor at 5.1mm when unfolded. It features a larger 8-inch inner display with increased brightness, reaching up to 2,700 nits in peak mode. Pricing for the new Pixel lineup starts at $799 for the standard Pixel 9, representing a $100 increase from last year's model. The Pixel 9 Pro and Pro XL are priced at $999 and $1,099 respectively, while the Pixel 9 Pro Fold will retail for $1,799. The devices will be released in stages, with the Pixel 9 and 9 Pro XL available from August 22, followed by the 9 Pro in September and the Pro Fold on September 4.

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Hackers at the DEF CON conference in Las Vegas identified vulnerabilities in voting machines slated for use in the 2024 U.S. election, but fixes are unlikely to be implemented before November 5, organizers said. The annual "Voting Village" event, held away from the main conference floor due to security concerns, drew election officials and cybersecurity experts. Organizers plan to release a detailed report on the vulnerabilities found. Catherine Terranova, an event organizer, said major systemic changes are difficult to make 90 days before an election, particularly given heightened scrutiny of election security in 2024. The process of addressing vulnerabilities involves manufacturer approval, recertification by authorities, and updating individual devices. This typically takes longer than the time remaining before the election, according to Scott Algeier, executive director of the Information Technology-Information Sharing and Analysis Center. The event comes amid ongoing concerns about foreign targeting of U.S. elections, including a recent hack of former President Donald Trump's campaign, reportedly by Iran.

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Dutch-based copyright enforcement group BREIN has taken down a large language dataset that was being offered for use in training AI models, the organization said on Tuesday. From a report: The dataset included information collected without permission from tens of thousands of books, news sites, and Dutch language subtitles harvested from "countless" films and TV series, BREIN said in a statement. Director Bastiaan van Ramshorst told Reuters it was not clear whether or how widely the dataset may already have been used by AI companies. "It's very difficult to know, but we are trying to be on time" to avoid future lawsuits, he said. He said the European Union's AI Act will require AI firms to disclose what datasets they have used to train their models.

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Driverless Waymo vehicles in a San Francisco parking lot have been repeatedly honking at each other, disrupting nearby residents' sleep and daily lives, according to local media report. The incidents, occurring at random times over the past two weeks, have prompted complaints from multiple condo dwellers. Randol White, a local resident, first noticed the problem when he was awakened at 4 a.m. by the cacophony. Another resident, Russell Pofsky, reported being woken up more times in the past fortnight than in the previous 20 years combined. Waymo acknowledged the issue in a statement, saying they have identified the cause and are implementing a fix. The company's response comes after affected residents reached out to report the problem.

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AI PCs accounted for 14% of all PC shipped in the second quarter with Apple leading the way, research firm Canalys said on Tuesday, as added AI capabilities help reinvigorate demand. From a report: PC providers and chipmakers have pinned high hopes on devices that can perform AI tasks directly on the system, bypassing the cloud, as the industry slowly emerges from its worst slump in years. These devices typically feature neural processing units dedicated to performing AI tasks. Apple commands about 60% of the AI PC market, the research firm said in the report, pointing to its Mac portfolio incorporating M-series chips with a neural engine. Within Microsoft's Windows, AI PC shipments grew 127% sequentially in the quarter. The tech giant debuted its "Copilot+" AI PCs in May, with Qualcomm's Snapdragon PC chips based on Arm Holdings' architecture.

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theodp writes: With Apple threatening to remove crowdfunding app Patreon from the App Store unless they use Apple's own in-app purchasing system (and make the required 'protection' payments), it's interesting to consider whether Apple could survive if it was subject to a 30% 'Apple Tax' on its own revenue. In its 2023 fiscal year, Apple reported a net income of $97 billion on total revenues of $383 billion. Which is very impressive, but what if Apple had to pay 30% of its revenue -- $115 billion -- to a third party? Could even the most profitable company in the U.S. survive a 30% 'Apple Tax'?

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About half of all job seekers are using AI tools to apply for roles, inundating employers and recruiters with low-quality applications in an already squeezed labour market. From a report: Candidates are turning increasingly to generative AI -- the type used in chatbot products such as ChatGPT and Gemini to produce conversational passages of text -- to assist them in writing their CVs, cover letters and completing assessments. Estimates from employers and recruiters who spoke to the Financial Times, as well as multiple published surveys, have suggested the figure is as high as 50 per cent of applicants. A "barrage" of AI-powered applications had led to more than double the number of candidates per job while the "barrier to entry is lower," said Khyati Sundaram, chief executive of Applied, a recruitment platform. "We're definitely seeing higher volume and lower quality, which means it is harder to sift through," she added. "A candidate can copy and paste any application question into ChatGPT, and then can copy and paste that back into that application form." In recent months, recruiters have received more applications for each job because labour markets on both sides of the Atlantic have weakened. Employers need to fill fewer vacancies, and more people are job-hunting after being made redundant. Longer-term trends, such as the rise of online job boards that make openings visible to a broader pool of potential candidates and make applying easy, have already boosted the number of applications. About 46 per cent of job hunters are using generative AI to search and apply for posts, according to a survey of 2,500 UK workers from HR start-up Beamery. In a separate poll of 5,000 global job seekers by creative platform Canva, 45 per cent had used generative AI to build or improve their CVs.

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An anonymous reader quotes a report from Ars Technica: SpaceX will fly the first-ever human spaceflight over the Earth's poles, possibly before the end of this year, the company announced Monday. The private Crew Dragon mission will be led by a Chinese-born cryptocurrency entrepreneur named Chun Wang, and he will be joined by a polar explorer, a roboticist, and a filmmaker whom he has befriended in recent years. The "Fram2" mission, named after the Norwegian research ship Fram, will launch into a polar corridor from SpaceX's launch facilities in Florida and fly directly over the north and south poles. The three-to-five day mission is being timed to fly over Antarctica near the summer solstice in the Southern Hemisphere, to afford maximum lighting. The four-person crew will fly, fittingly, aboard Crew Dragon Endurance, which is named after Ernest Shackleton's famous ship that was trapped in the Antarctic ice and eventually sunk there about a century ago. The spacecraft will be fitted with a cupola for both photography and filming. This will be SpaceX's third free-flying mission aboard Crew Dragon, following the Inspiration4 mission funded and commanded by US entrepreneur Jared Isaacman in 2021, and his forthcoming Polaris Dawn mission which may launch later this month. In an interview, Wang said he modeled the Fram2 mission's crew and public outreach programs on the template established by Isaacman.

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Researchers from Nottingham Trent University found that horses are more intelligent than previously believed, as they quickly adapted to a treat-based game with changing rules, demonstrating strategic behavior when a penalty was introduced. The BBC reports: The study involved 20 horses, who first were rewarded with a treat for touching a piece of card with their nose. In the second stage, a "stop light" was introduced, and the rule was changed so that the reward was only given if they touched the card while the light was off. This did not alter the behaviour of the horses, as they were observed touching the card regardless of the status of the light. That is, until the rules changed for a third time. In the final stage, researchers introduced a penalty of a 10-second timeout for touching the card while the stop light was on. The team observed a rapid adjustment to the horses' behaviour now there was a cost to getting it wrong, all of them quickly learning to play by the rules to avoid the timeout, researchers said. The researchers believe the fact the horses adapted so quickly indicates they understood the rule of the stop light the entire time, but had no reason to follow the rule when there was no consequence for getting it wrong. The study has been published in the journal Applied Animal Behavior Science.

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sciencehabit shares a report from Science.org: For years, astronomers thought it was the Milky Way's destiny to collide with its near neighbor the Andromeda galaxy a few billion years from now. But a new simulation finds a 50% chance the impending crunch will end up a near-miss, at least for the next 10 billion years. It's been known that Andromeda is heading toward our home Galaxy since 1912, heading pretty much straight at the Milky Way at a speed of 110 kilometers per second. Such galaxy mergers, which can be seen in progress elsewhere in the universe, are spectacularly messy affairs. Although most stars survive unscathed, the galaxies' spiral structures are obliterated, sending streams of stars spinning off into space. After billions of years, the merged galaxies typically settle into a single elliptical galaxy: a giant featureless blob of stars. A study from 2008 suggested a Milky Way-Andromeda merger was inevitable within the next 5 billion years, and that in the process the Sun and Earth would get gravitationally grabbed by Andromeda for a time before ending up in the distant outer suburbs of the resulting elliptical, which the researchers dub "Milkomeda." In the new simulation, researchers made use of the most recent and best estimates of the motion and mass of the four largest galaxies in the Local Group. They then plugged those into simulations developed by the Institute for Computational Cosmology at Durham University. First, they ran the simulation including just the Milky Way and Andromeda and found that they merged in slightly less than half of the cases -- lower odds than other recent estimates. When they included the effect of the Triangulum galaxy, the Local Group's third largest, the merger probability increased to about two-thirds. But with the inclusion of the Large Magellanic Cloud, a satellite galaxy of the Milky Way that is the fourth largest in the Local Group, those chances dropped back down to a coin flip. And if the cosmic smashup does happen, it won't be for about 8 billion years. "As it stands, proclamations of the impending demise of our Galaxy appear greatly exaggerated," the researchers write. Meanwhile, if the accelerating expansion of the universe continues unabated, all other galaxies will disappear beyond our cosmic event horizon, leaving Milkomeda as the sole occupant of the visible universe. The study is available as a preprint on arXiv.

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An anonymous reader quotes a report from The Guardian: When "I can has cheezburger?" became one of the first internet memes to blow our minds, it's unlikely that anyone worried about how much energy it would use up. But research has now found that the vast majority of data stored in the cloud is "dark data", meaning it is used once then never visited again. That means that all the memes and jokes and films that we love to share with friends and family -- from "All your base are belong to us", through Ryan Gosling saying "Hey Girl", to Tim Walz with a piglet -- are out there somewhere, sitting in a datacenter, using up energy. By 2030, the National Grid anticipates that datacenters will account for just under 6% of the UK's total electricity consumption, so tackling junk data is an important part of tackling the climate crisis. Ian Hodgkinson, a professor of strategy at Loughborough University has been studying the climate impact of dark data and how it can be reduced. "I really started a couple of years ago, it was about trying to understand the negative environmental impact that digital data might have," he said. "And at the top of it might be quite an easy question to answer, but it turns out actually, it's a whole lot more complex. But absolutely, data does have a negative environmental impact." He discovered that 68% of data used by companies is never used again, and estimates that personal data tells the same story. [...] One funny meme isn't going to destroy the planet, of course, but the millions stored, unused, in people's camera rolls does have an impact, he explained: "The one picture isn't going to make a drastic impact. But of course, if you maybe go into your own phone and you look at all the legacy pictures that you have, cumulatively, that creates quite a big impression in terms of energy consumption." Since we're paying to store data in the cloud, cloud operators and tech companies have a financial incentive to keep people from deleting junk data, says Hodgkinson. He recommends people send fewer pointless emails and avoid the "dreaded 'reply all' button." "One [figure] that often does the rounds is that for every standard email, that equates to about 4g of carbon. If we then think about the amount of what we mainly call 'legacy data' that we hold, so if we think about all the digital photos that we have, for instance, there will be a cumulative impact."

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Slashdot contributors Tablizer, radaos, fjo3, and dbialac highlighted a major discovery by scientists: a reservoir of liquid water hidden deep beneath Mars' rocky outer crust. The BBC reports: The findings come from a new analysis of data from Nasa's Mars Insight Lander, which touched down on the planet back in 2018. The lander carried a seismometer, which recorded four years' of vibrations -- Mars quakes -- from deep inside the Red Planet. Analyzing those quakes -- and exactly how the planet moves -- revealed "seismic signals" of liquid water... The Insight probe was only able to record directly from the crust beneath its feet, but the researchers expect that there will be similar reservoirs across the planet. If that is the case, they estimate that there is enough liquid water on Mars to form a layer across the surface that would be more than half a mile deep. However, they point out, the location of this Martian groundwater is not good news for billionaires with Mars colonization plans who might want to tap into it. "It's sequestered 10-20km deep in the crust," explained Prof Manga. "Drilling a hole 10km deep on Mars -- even for [Elon] Musk -- would be difficult," he told BBC News.

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Longtime Slashdot reader schwit1 shares a report from Axios: Locking up merchandise at drugstores and discount retailers hasn't curbed retail theft but is driving frustrated consumers to shop online more, retail experts tell Axios. Retail crime is eating into retailers' profits and high theft rates are also leading to a rise in store closures. Secured cases can cause sales to drop 15% to 25%, Joe Budano, CEO of anti-theft technology company Indyme, previously told Axios. Barricading everything from razors to laundry detergent has largely backfired and broken shopping in America, Bloomberg reports. Aisles full of locked plexiglass cases are common at many CVS and Walgreens stores where consumers have to wait for an employee to unlock them. Target, Walmart, Dollar General and other retailers have also pulled back on self-checkout to deter shoplifting. "Locking up products worsens the shopping experience, and it makes things inconvenient and difficult," GlobalData retail analyst Neil Saunders said, adding it pushes shoppers to other retailers or to move purchases online. Driving the news: Manmohan Mahajan, Walgreens global chief financial officer, said in a June earnings call that the retailer was experiencing "higher levels of shrink." Amazon CEO Andy Jassy spoke of the "speed and ease" of ordering online versus walking into pharmacies on a call with investors last week. "It's a pretty tough experience with how much is locked behind cabinets, where you have to press a button to get somebody to come out and open the cabinets for you," Jassy said. schwit1 adds: "The American-style retail shopping experience was invented in a high-trust environment. As trust erodes, so does the experience."

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