"Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." That's a quote from the BBC by a wrongly accused customer who was flagged by a facial-recognition system called Facewatch. "She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology." Facewatch later wrote to her and acknowledged it had made an error — but declined to comment on the incident in the BBC's report: [Facewatch] did say its technology helped to prevent crime and protect frontline workers. Home Bargains, too, declined to comment. It's not just retailers who are turning to the technology... [I]n east London, we joined the police as they positioned a modified white van on the high street. Cameras attached to its roof captured thousands of images of people's faces. If they matched people on a police watchlist, officers would speak to them and potentially arrest them... On the day we were filming, the Metropolitan Police said they made six arrests with the assistance of the tech... The BBC spoke to several people approached by the police who confirmed that they had been correctly identified by the system — 192 arrests have been made so far this year as a result of it. Lindsey Chiswick, director of intelligence for the Met, told the BBC that "It takes less than a second for the technology to create a biometric image of a person's face, assess it against the bespoke watchlist and automatically delete it when there is no match." "That is the correct and acceptable way to do it," writes long-time Slashdot reader Baron_Yam, "without infringing unnecessarily on the freedoms of the average citizen. Just tell me they have appropriate rules, effective oversight, and a penalty system with teeth to catch and punish the inevitable violators." But one critic of the tech complains to the BBC that everyone scanned automatically joins "a digital police line-up," while the article adds that others "liken the process to a supermarket checkout — where your face becomes a bar code." And "The error count is much higher once someone is actually flagged. One in 40 alerts so far this year has been a false positive..." Thanks to Slashdot reader Bruce66423 for sharing the article.

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Long-time Slashdot reader schwit1 shares the announcement of a new report from the International Energy Forum: The seemingly universal presumption persists that the copper needed for the green transition will somehow be available... This paper addresses this issue by projecting copper supply and demand from 2018 to 2050 and placing both in the historical context of copper mine output... Just to meet business-as-usual trends, 115% more copper must be mined in the next 30 years than has been mined historically until now. To electrify the global vehicle fleet requires bringing into production 55% more new mines than would otherwise be needed... Our main purpose... is to communicate the magnitude of the copper mining challenge to the broader public that is less familiar with upstream resource issues. "On the other hand, hybrid electric vehicle manufacture would require negligible extra copper mining..." the report points out. Wikipedia describes the non-profit as a 73-country organization promoting dialogue about the world's energy needs. The group's announcement ends with a hope that the report "will promote discussion and formulation of alternative policies to be certain the developing world can catch up with the developed world while global initiatives advance with the green energy transition."

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Journalist Steven Brill has written a new book called The Death of Truth. Its subtitle? "How Social Media and the Internet Gave Snake Oil Salesmen and Demagogues the Weapons They Needed to Destroy Trust and Polarize the World-And What We Can Do." An excerpt published by Wired points out that last year around the world, $300 billion was spent on "programmatic advertising", and $130 billion was spent in the United States alone in 2022. The problem? For over a decade there's been "brand safety" technology, the article points out — but "what artificial intelligence could not do was spot most forms of disinformation and misinformation..." The end result... In 2019, other than the government of Vladimir Putin, Warren Buffett was the biggest funder of Sputnik News, the Russian disinformation website controlled by the Kremlin... Geico, the giant American insurance company and subsidiary of Buffett's Berkshire Hathaway, was the leading advertiser on the American version of Sputnik News' global website network... No one at Geico or its advertising agency had any idea its ads would appear on Sputnik, let alone what anti-American content would be displayed alongside the ads. How could they? Which person or army of people at Geico or its agency could have read 44,000 websites? Geico's ads had been placed through a programmatic advertising system that was invented in the late 1990s as the internet developed. It exploded beginning in the mid 2000s and is now the overwhelmingly dominant advertising medium. Programmatic algorithms, not people, decide where to place most of the ads we now see on websites, social media platforms, mobile devices, streaming television, and increasingly hear on podcasts... If Geico's advertising campaign were typical of programmatic campaigns for broad-based consumer products and services, each of its ads would have been placed on an average of 44,000 websites, according to a study done for the leading trade association of big-brand advertisers. Geico is hardly the only rock-solid American brand to be funding the Russians. During the same period that the insurance company's ads appeared on Sputnik News, 196 other programmatic advertisers bought ads on the website, including Best Buy, E-Trade, and Progressive insurance. Sputnik News' sister propaganda outlet, RT.com (it was once called Russia Today until someone in Moscow decided to camouflage its parentage), raked in ad revenue from Walmart, Amazon, PayPal, and Kroger, among others... Almost all advertising online — and even much of it on television (through streaming TV), or on podcasts, radio, mobile devices, and electronic billboards — is now done programmatically, which means the machine, not a planner, makes those placement decisions. Unless the advertiser uses special tools, such as what are called exclusion or inclusion lists, the publishers and content around which the ad appears, and which the ad is financing, are no longer part of the decision. "What I kept hearing as the professionals explained it to me was that the process is like a stock exchange, except that the buyer doesn't know what stock he is buying... the advertiser and its ad agency have no idea where among thousands of websites its ad will appear."

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A new article in the Washington Post argues that a phenomenon called "Quiet vacationing" has "joined 'quiet quitting' and 'quiet firing' as the latest (and least poetic) scourge of the modern workplace. "Also known as the hush trip, workcation, hush-cation, or bleisure travel — you get the idea — quiet vacationing refers to workers taking time off, even traveling, without notifying their employers." Taking advantage of work-from-anywhere technology, they are logging in from hotels, beaches and campgrounds, sometimes using virtual backgrounds and VPNs to cover their tracks. Given the difficulty many employers already have trusting remote workers to be productive anywhere outside the office, you can bet they are not keen on the idea of their employees pretending to have their head in the game while their toes are in the sand. But employers also have legitimate legal reasons for keeping tabs on their employees' location when they're on the clock. "Evil HR Lady" Suzanne Lucas, writing in Inc. magazine, recently highlighted the many tax, employment, business-operation and security laws that focus on an employee's location. Workers secretly performing their jobs in other states or countries can trigger compliance headaches for their employers, Lucas notes, giving the hypothetical of an employee seeking workers' compensation after sustaining an injury while on unauthorized travel.... As with declines in birthrates, home purchases and demand for mined diamonds, the quiet-vacationing trend is being attributed primarily, though not exclusively, to millennial workers. But before launching into generational finger-pointing and stereotyping, it's worth taking a look at why they might feel the need to take their PTO on the DL. The U.S. Travel Association in a 2016 report proclaimed millennials to be a generation of "work martyrs," entering the workforce around the time average U.S. vacation usage began declining and mobile technology began enabling round-the-clock attachment to jobs... The work-vacation boundaries most premillennial workers took for granted growing up have gone the way of defined-benefit pensions and good tomatoes. Inadequate paid leave is another driving force. The United States continues to be the only nation among its industrialized economic peers that does not guarantee paid vacation, sick leave or holidays for all workers, leaving such benefits to the discretion of employers. Workers with limited PTO — whether new to the workforce or stuck in lower-paying, low-benefit industries — generally want to keep as much paid leave banked as possible, especially if they may need it for unpredictable emergencies like illness or caretaking. If you can preserve those precious hours by packing your laptop alongside your flip-flops, why wouldn't you? The article also mentions employers who begrudge vacation and employees who fear "becoming a target for future cost-cutting..."

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How will Apple protect user data while their requests are being processed by AI in applications like Siri? Long-time Slashdot reader AmiMoJo shared this report from Apple Insider: According to sources of The Information [four different former Apple employees who worked on the project], Apple intends to process data from AI applications inside a virtual black box. The concept, known as "Apple Chips in Data Centers" internally, would involve only Apple's hardware being used to perform AI processing in the cloud. The idea is that it will control both the hardware and software on its servers, enabling it to design more secure systems. While on-device AI processing is highly private, the initiative could make cloud processing for Apple customers to be similarly secure... By taking control over how data is processed in the cloud, it would make it easier for Apple to implement processes to make a breach much harder to actually happen. Furthermore, the black box approach would also prevent Apple itself from being able to see the data. As a byproduct, this means it would also be difficult for Apple to hand over any personal data from government or law enforcement data requests. Processed data from the servers would be stored in Apple's "Secure Enclave" (where the iPhone stores biometric data, encryption keys and passwords), according to the article. "Doing so means the data can't be seen by other elements of the system, nor Apple itself."

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This week the Washington Post reported that Americans "are more hesitant to buy EVs now than they were a year ago, according to a March Gallup poll, which found that just 44 percent of American adults say they'd consider buying an EV in the future, down from 55 percent last year. High prices and charging worries consistently rank as the biggest roadblocks for electric vehicles," they write, noting the concerns coincide with a slowdown in electric car and truck sales, while hybrids are increasing their market share. But something else happened this week. The chair of California's Air Resource Board and the chair of the state's Energy Commission teamed up for an op-ed piece arguing that "despite negative hype," electric cars are their state's future: When California's electric vehicle sales dipped at the end of last year, critics predicted the start of a new downward trend that would doom the industry and the state's broader effort to clean up the transportation sector, the single largest source of greenhouse gases and air pollution. But the latest numbers show that's not the case. Californians purchased 108,372 new zero-emission vehicles in the first three months of 2024 — nearly 7,000 more than the same time last year and the highest-ever first-quarter sales. Today, one in four new cars sold in the Golden State is electric, up from just 8% in 2020... California is now home to 56 manufacturers of zero-emission vehicles and related products, making our state a hub for cutting-edge automotive technology. Soon even raw materials will be sourced in-state, paving the way for domestic battery production... Challenges persist, and chief among them is the need for more widely available charging options. Many more charging stations need to be built as fast as possible to keep up with EV adoption. To address this, California is investing $4 billion over six years to rapidly build out the EV refueling network, on top of billions in investment by utilities. Equally essential is improved reliability of the EV charging network. Too many drivers today encounter faulty charging stations, which is why the California Energy Commission is developing the strongest charging reliability standards in the country and will require companies to be transparent with the public about their performance. They also point out that California "now boasts more EV chargers in the state than gasoline nozzles." And that it's become the first U.S. state whose best-selling car is electric.

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"A Swiss biocomputing startup has launched an online platform that provides remote access to 16 human brain organoids," reports Tom's Hardware: FinalSpark claims its Neuroplatform is the world's first online platform delivering access to biological neurons in vitro. Moreover, bioprocessors like this "consume a million times less power than traditional digital processors," the company says. FinalSpark says its Neuroplatform is capable of learning and processing information, and due to its low power consumption, it could reduce the environmental impacts of computing. In a recent research paper about its developments, FinalSpakr claims that training a single LLM like GPT-3 required approximately 10GWh — about 6,000 times greater energy consumption than the average European citizen uses in a whole year. Such energy expenditure could be massively cut following the successful deployment of bioprocessors. The operation of the Neuroplatform currently relies on an architecture that can be classified as wetware: the mixing of hardware, software, and biology. The main innovation delivered by the Neuroplatform is through the use of four Multi-Electrode Arrays (MEAs) housing the living tissue — organoids, which are 3D cell masses of brain tissue...interfaced by eight electrodes used for both stimulation and recording... FinalSpark has given access to its remote computing platform to nine institutions to help spur bioprocessing research and development. With such institutions' collaboration, it hopes to create the world's first living processor. FinalSpark was founded in 2014, according to Wikipedia's page on wetware computing. "While a wetware computer is still largely conceptual, there has been limited success with construction and prototyping, which has acted as a proof of the concept's realistic application to computing in the future." Thanks to long-time Slashdot reader Artem S. Tashkinov for sharing the article.

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An anonymous reader shared this report from the Washington Post: Twice before, this Virginia carpenter had awoken in the predawn to start his work day only to find one of his vans broken into. Tools he depends on for a living had been stolen, and there was little hope of retrieving them. Determined to shut down thieves, he said, he bought a bunch of Apple AirTags and hid the locator devices in some of his larger tools that hadn't been pilfered. Next time, he figured, he would track them. It worked. On Jan. 22, after a third break-in and theft, the carpenter said, he drove around D.C.'s Maryland suburbs for hours, following an intermittent blip on his iPhone, until he arrived at a storage facility in Howard County. He called police, who got a search warrant, and what they found in the locker was far more than just one contractor's nail guns and miter saws. The storage unit, stuffed with purloined power tools, led detectives to similar caches in other places in the next four months — 12 locations in all, 11 of them in Howard County — and the recovery of about 15,000 saws, drills, sanders, grinders, generators, batteries, air compressors and other portable (meaning easily stealable) construction equipment worth an estimated $3 million to $5 million, authorities said. Some were stolen as long ago as 2014, a police spokesperson told the Washington Post, coming from "hundreds if not thousands" of victims...

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Nashville-based Yoshi Mobility launched in 2015 to deliver gasoline to vehicle owners, reports Forbes. But this week the company announced they'll begin converting GM electric delivery vans into "mobile EV superchargers" — fast, battery-powered 240 kw DC chargers — for corporate fleets of electric cars. "There's kind of this critical grid problem and so we think that we can accelerate towards an EV future and this is a unique way that we can do it," said [cofounder/CEO Bryan] Frist in an interview. "The mobile charger can charge and then it can multiplex all the spots. So we tell people, it can electrify every spot in your parking lot." Each mobile supercharger can service between five and seven vehicles according to Frist. With perhaps two superchargers operating on a fleet operator's lot, one would service a vehicle while the other supercharger would replenish its own charge off the grid and they would alternate, according to Frist. "What we say is we can do that same charge instead of three and a half hours, we can do in 10 minutes, and we can move around your lot," Frist says. "You don't have to put in all the infrastructure. You don't have to build it out. You just contract with us." The company plans to begin with a "handful" of mobile superchargers in [GM's] BrightDrop vans but expects to ramp up production and begin commercializing more widely during the first quarter of 2025... The mobile superchargers will complement Yoshi Mobility's existing offering of high-capacity mobile generators that sit on a fleet operator's lot putting out as much as a megawatt of power and can service a larger number of vehicles than the mobile units.

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Studies show ultraprocessed food "encourages overeating but may leave the eater undernourished," writes Ars Technica. But the food industry's response has been "a ferocious campaign against regulation." In part it has used the same lobbying playbook as its fight against labeling and taxation of "junk food" high in calories: big spending to influence policymakers. FT analysis of US lobbying data from non-profit Open Secrets found that food and soft drinks-related companies spent $106 million on lobbying in 2023, almost twice as much as the tobacco and alcohol industries combined. Last year's spend was 21 percent higher than in 2020, with the increase driven largely by lobbying relating to food processing as well as sugar. In an echo of tactics employed by cigarette companies, the food industry has also attempted to stave off regulation by casting doubt on the research of scientists like [Brazilian nutritional scientist Carlos] Monteiro. "The strategy I see the food industry using is deny, denounce, and delay," says Barry Smith, director of the Institute of Philosophy at the University of London and a consultant for companies on the multisensory experience of food and drink. So far the strategy has proved successful. Just a handful of countries, including Belgium, Israel, and Brazil, currently refer to UPFs in their dietary guidelines. But as the weight of evidence about UPFs grows, public health experts say the only question now is how, if at all, it is translated into regulation. "There's scientific agreement on the science," says Jean Adams, professor of dietary public health at the MRC Epidemiology Unit at the University of Cambridge. "It's how to interpret that to make a policy that people aren't sure of." [...] As researchers have learned more about the link between UPFs and poor health outcomes, companies have remained largely silent about these risks, leaving trade bodies that advocate on their behalf to argue loudly against the validity of the research.

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"About 1 in 9 children in the U.S., between the ages of 3 and 17, have been diagnosed with ADHD," reports NPR: That's according to a new report from the Centers for Disease Control and Prevention that calls attention-deficit/hyperactivity disorder an "expanding public health concern." Researchers found that in 2022, 7.1 million kids and adolescents in the U.S. had received an ADHD diagnosis — a million more children than in 2016. That jump in diagnoses was not surprising, given that the data was collected during the pandemic, says Melissa Danielson, a statistician with the CDC's National Center on Birth Defects and Developmental Disabilities and the study's lead author. She notes that other studies have found that many children experienced heightened stress, depression and anxiety during the pandemic. "A lot of those diagnoses... might have been the result of a child being assessed for a different diagnosis, something like anxiety or depression, and their clinician identifying that the child also had ADHD," Danielson says. The increase in diagnoses also comes amid growing awareness of ADHD — and the different ways that it can manifest in children... The study, which appears in the Journal of Clinical Child & Adolescent Psychology, was based on data from the National Survey of Children's Health, which gathers detailed information from parents.

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This week the Washington Post noted that just last year nearly 1.2 million more electric vehicles were sold in America, "accounting for over 7 percent of total new car sales and a new national record." But "data show that EV sales are far outpacing growth in the U.S. charging network... In 2016, there were seven electric cars for each public charging point; today, there's more than 20 electric cars per charger." The article points out that 80% of America's EV's are just charging at home, according to the U.S. Energy Department. (Which seems to leave one public charger for every four EVs that don't charge at home.) And the article notes several other important caveats: Experts say that there is no "magic number" for the best ratio of EVs on the road to public chargers. "It absolutely depends on the local landscape," said Peter Slowik, U.S. passenger vehicles lead for the International Council on Clean Transportation. Globally, there is about 1 public charger for every 11 EVs, according to the International Energy Agency. But in countries where there are more single-family homes and garages, the ratio could be lower.... In a way, the United States' slow charging build-out could be a benefit in the long-term: Many automakers have now promised to switch to Tesla's charging connector in the next few years, which could help put most cars on the same system. Not everyone agrees there is a delay. Slowik says that his team's research shows that the United States is on-track for building out the charging needed over the next eight years. An increase in the number of EVs per public charger is a natural part of the adoption process, he argues, that will subside with more sales and as more chargers come online. Still, the article argues if Americans continue buying electric cars, public chargers will be essential "to support long road trips, help apartment-dwellers go electric and alleviate overnight pressure on electricity grids." Today U.S. Transportation Secretary Pete Buttigieg reiterated America's commitment to having a national network of 500,000 charges by 2030, saying the country is at "the absolute very, very beginning stages of the construction to come."

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"64% of Americans live within 2 miles of a public charging station," Pew Research reported this week, citing a survey paired with an analysis of U.S. Energy Department data that found over 61,000 publicly accessible charging stations. And those who live closest to public chargers "view EVs more positively." The vast majority of EV charging occurs at home, but access to public infrastructure is tightly linked with Americans' opinions of electric vehicles themselves. Our analysis finds that Americans who live close to public chargers view EVs more positively than those who are farther away. Even when accounting for factors like partisan identification and community type, Americans who live close to EV chargers are more likely to say they: - Already own an electric or hybrid vehicle - Would consider buying an EV for their next vehicle - Favor phasing out production of new gasoline cars and trucks by 2035 - Are confident that the U.S. will build the necessary infrastructure to support large numbers of EVs on the roads The number of EV charging stations has more than doubled since 2020. In December 2020, the Department of Energy reported that there were nearly 29,000 public charging stations nationwide. By February 2024, that number had increased to more than 61,000 stations. Over 95% of the American public now lives in a county that has at least one public EV charging station. EV charging stations are most accessible to residents of urban areas: 60% of urban residents live less than a mile from the nearest public EV charger, compared with 41% of those in the suburbs and just 17% of rural Americans. California is home to about 25% of all of America's charging stations, according to the report. But this means EV-owning Californians "might also have a harder time than residents of many states when it comes to the actual experience of finding and using a charger." Despite having the most charging stations of any state, California's 43,780 individual public charging ports must provide service for the more than 1.2 million electric vehicles registered to its residents. That works out to one public port for every 29 EVs, a ratio that ranks California 49th across all 50 states and the District of Columbia. At the other end of the spectrum, Wyoming (one-to-six), North Dakota (one-to-six) and West Virginia (one-to-eight) have the most ports relative to the much smaller number of EVs registered in their respective states. Another interesting finding? "Attitudes toward EVs don't differ that much based on how often people take long car trips. "In fact, those who regularly drive more than 100 miles are slightly more likely to say they currently own an electric vehicle or hybrid — and also to say they'd consider purchasing an EV in the future — when compared with those who make these trips less often."

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Will Major League Baseball games use "automated" umpires next year to watch pitches from home plate and call balls and strikes? "We still have some technical issues," baseball Commissioner Rob Manfred said Thursday. NBC News reports: "We haven't made as much progress in the minor leagues this year as we sort of hoped at this point. I think it's becoming more and more likely that this will not be a go for '25." Major League Baseball has been experimenting with the automated ball-strike system in minor leagues since 2019. It is being used at all Triple-A parks this year for the second straight season, the robot alone for the first three games of each series and a human with a [robot-assisted] challenge system in the final three. In "challenge-system" games, robo-umpires are only used for quickly ruling on challenges to calls from human umpires. (As demonstrated in this 11-second video.) CBS Sports explains: Each team is given a limited number of "incorrect" challenges per game, which incentivizes judicious use of challenges... In some ways, the challenge system is a compromise between the traditional method of making ball-strike calls and the fully automated approach. That middle ground may make approval by the various stakeholders more likely to happen and may lay the foundation for full automation at some future point. Manfred cites "a growing consensus in large part" from Major League players that that's how they'd want to see robo-umpiring implemented, according to a post on X.com from The Athletic's Evan Drellich. (NBC notes one concern is eliminating the artful way catchers "frame" caught pitches to convince umpires a pitch passed through the strike zone.) But umpires face greater challenges today, adds CBS Sports: The strong trend, stretching across years, of increased pitch velocity in the big leagues has complicated the calling of balls and strikes, as has the emphasis on high-spin breaking pitches. Discerning balls from strikes has always been challenging, and the stuff of the contemporary major-league pitcher has made anything like perfect accuracy beyond the capabilities of the human eye. Big-league umpires are highly skilled, but the move toward ball-strike automation and thus a higher tier of accuracy is likely inevitable. Manfred's Wednesday remarks reinforce that perception.

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"Merged this Friday evening into the Linux 6.10 kernel is the new mseal() system call for memory sealing," reports Phoronix: The mseal system call was led by Jeff Xu of Google's Chrome team. The goal with memory sealing is to also protect the memory mapping itself against modification. The new mseal Linux documentation explains: "Modern CPUs support memory permissions such as RW and NX bits. The memory permission feature improves security stance on memory corruption bugs, i.e. the attacker can't just write to arbitrary memory and point the code to it, the memory has to be marked with X bit, or else an exception will happen. Memory sealing additionally protects the mapping itself against modifications. This is useful to mitigate memory corruption issues where a corrupted pointer is passed to a memory management system... Memory sealing can automatically be applied by the runtime loader to seal .text and .rodata pages and applications can additionally seal security-critical data at runtime. A similar feature already exists in the XNU kernel with the VM_FLAGS_PERMANENT flag and on OpenBSD with the mimmutable syscall." The mseal system call is designed to be used by the likes of the GNU C Library "glibc" while loading ELF executables to seal non-writable memory segments or by the Google Chrome web browser and other browsers for protecting security sensitive data structures.

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"While general-purpose languages like Python, C++, and Java remain popular in AI development," writes VentureBeat, "the resurgence of AI-first languages signifies a recognition that AI's unique demands require specialized languages tailored to the domain's specific needs... designed from the ground up to address the specific needs of AI development." Bend, created by Higher Order Company, aims to provide a flexible and intuitive programming model for AI, with features like automatic differentiation and seamless integration with popular AI frameworks. Mojo, developed by Modular AI, focuses on high performance, scalability, and ease of use for building and deploying AI applications. Swift for TensorFlow, an extension of the Swift programming language, combines the high-level syntax and ease of use of Swift with the power of TensorFlow's machine learning capabilities... At the heart of Mojo's design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. One of Mojo's key advantages is its interoperability with the existing Python ecosystem. Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks. Developers can continue to use their favorite Python tools and packages while benefiting from Mojo's performance enhancements... It supports static typing, which can help catch errors early in development and enable more efficient compilation... Mojo also incorporates an ownership system and borrow checker similar to Rust, ensuring memory safety and preventing common programming errors. Additionally, Mojo offers memory management with pointers, giving developers fine-grained control over memory allocation and deallocation... Mojo is conceptually lower-level than some other emerging AI languages like Bend, which compiles modern high-level language features to native multithreading on Apple Silicon or NVIDIA GPUs. Mojo offers fine-grained control over parallelism, making it particularly well-suited for hand-coding modern neural network accelerations. By providing developers with direct control over the mapping of computations onto the hardware, Mojo enables the creation of highly optimized AI implementations. According to Mojo's creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. Despite its impressive performance and potential, Mojo's adoption might have stalled initially due to its proprietary status. However, Modular recently decided to open-source Mojo's core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo's adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python. Developers can now explore Mojo's inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful. The article also notes other languages "trying to become the go-to choice for AI development" by providing high-performance execution on parallel hardware. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations — no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI — a tool for every occasion... The resurgence of AI-focused programming languages like Mojo, Bend, Swift for TensorFlow, JAX and others marks the beginning of a new era in AI development. As the demand for more efficient, expressive, and hardware-optimized tools grows, we expect to see a proliferation of languages and frameworks that cater specifically to the unique needs of AI. These languages will leverage modern programming paradigms, strong type systems, and deep integration with specialized hardware to enable developers to build more sophisticated AI applications with unprecedented performance. The rise of AI-focused languages will likely spur a new wave of innovation in the interplay between AI, language design and hardware development. As language designers work closely with AI researchers and hardware vendors to optimize performance and expressiveness, we will likely see the emergence of novel architectures and accelerators designed with these languages and AI workloads in mind. This close relationship between AI, language, and hardware will be crucial in unlocking the full potential of artificial intelligence, enabling breakthroughs in fields like autonomous systems, natural language processing, computer vision, and more. The future of AI development and computing itself are being reshaped by the languages and tools we create today. In 2017 Modular AI's founder Chris Lattner (creator of the Swift and LLVM) answered questions from Slashdot readers.

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Malaysia Airlines Flight 370 vanished in 2014 — and efforts continue to find it. In 2018 a UK-based video producer claimed to have discovered the crashed aircraft on Google Maps — but Newsweek pointed out the same wreckage "is visible in imagery dating back to January 1, 2004 — more than a decade before MH370 disappeared." Marine robotics company Ocean Infinity also failed to find the aircraft after a five-month search in 2018 — but has returned to the headlines this March, writes the Independent, "claiming that they have scientific evidence" for the flight's final resting place. (The company's CEO says the last six years they've been "innovating with technology and robotics to further advance our ocean search capabilities.") And this week Indian Express reported that researchers from the UK's Cardiff University investigating the mystery "have come up with a novel plan to unravel it — sea explosions." More from the Economic Times: Scientists have said that airplanes crashing over oceans create unique acoustic signatures that can travel more than 3,000km through water. These acoustic signatures can be recorded by a network of 11 hydroacoustic stations worldwide that are dotted along the seabed. Researchers at Cardiff University have said that a series of controlled underwater explosions or air gunfire along the 7th arc [where the plane last communicated] can be done to see whether they can isolate a more precise location for MH370. More details from NDTV: "[W]ithin the time frame and location suggested by the official search, only a single, relatively weak signal was identified,'' Dr Kadri said... ''Similar exercises were performed in the search and rescue mission for the ARA San Juan, a submarine that vanished off the coast of Argentina in 2017. This shows us that it is relatively straightforward and feasible and could provide a means to determine the signal's relevance to MH370, prior to resuming with another extensive search. If found to be related, this would significantly narrow down, almost pinpoint, the aircraft's location,'' Dr Kadri added... Despite the largest search in aviation history, the plane has never been found. An announcement from Cardiff University adds that "The experiments would also help develop the use of hydroacoustic technology as a tool for authorities to draw upon when narrowing down potential crash locations for airplanes in the future."

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Space.com calls it a movie "adding more combustible material to the inferno of AI unease sweeping the globe." Its director tells them James Cameron was a huge inspiration, saying Atlas "has an Aliens-like vibe because of the grounded, grittiness to it." (You can watch the movie's trailer here...) But Tom's Guide says "the reviews are just as shocking as the movie's AI." Its "audience score" on Rotten Tomatoes is 55% — but its aggregate score from professional film critics is 16%. The Hollywood Reporter called it "another Netflix movie to half-watch while doing laundry." ("The star plays a data analyst forced to team up with an AI robot in order to prevent an apocalypse orchestrated by a different AI robot...") The site Giant Freakin Robot says "there seems to be a direct correlation between how much money the streaming platform spends on green screen effects and how bad the movie is" (noting the film's rumored budget of $100 million)... But Tom's Guide defends it as a big-budget sci-fi thriller that "has an interesting premise that makes you think about the potential dangers of AI progression." Our world has always been interested in computers and machines, and the very idea of technology turning against us is unsettling. That's why "Atlas" works as a movie, but professional critics have other things to say. Ross McIndoe from Slant Magazine said: "Atlas seems like a story that should have been experienced with a gamepad in hand...." Todd Gilchrist from Variety didn't enjoy the conventional structure that "Atlas" followed... However, even though the score is low and the reviews are pretty negative, I don't want to completely bash this movie... If I'm being completely honest, most movies and TV shows nowadays are taken too seriously. The more general blockbusters are supposed to be entertaining and fun, with visually pleasing effects that keep you hooked on the action. This is much like "Atlas", which is a fun watch with an unsettling undertone focused on the dangers of evolving AI... Being part of the audience, we're supposed to just take it in and enjoy the movie as a casual viewer. This is why I think you should give "Atlas" a chance, especially if you're big into dramatic action sequences and have enjoyed movies like "Terminator" and "Pacific Rim".

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"The fact it's possible at all is a credit to the ingenuity of the open-source community," writes the blog OMG Ubuntu: Switchroot is an open-source project that allows Android and Linux-based distros like Ubuntu to run on the Nintendo Switch — absolutely not something Nintendo approves of much less supports, endorses, or encourages, etc! I covered the loophole that made this possible back in 2018. Back then the NVIDIA Tegra X1-powered Nintendo Switch was still new and Linux support for much of the console's internal hardware in a formative state (a polite way to say 'not everything worked'). But as the popularity of Nintendo's handheld console ballooned (to understate it) so the 'alternative OS' Switch scene grew, and before long Linux support for Switch hardware was in full bloom... A number of Linux for Switchroot (L4S) distributions have since been released, designated as Linux for Tegra (L4T) builds. As these can boot from a microSD card it's even possible to dualboot the Switch OS with Linux, which is neat! Recently, a fresh set of L4T Ubuntu images were released based on the newest Ubuntu 24.04 LTS release. These builds work on all Switch versions, from the OG (exploit-friendly) unit through to newer, patched models (where a modchip is required)... I'm told all of the Nintendo Switch internal hardware now works under Linux, including Wi-Fi, Bluetooth, sleep mode, accelerated graphics, the official dock... Everything, basically. And despite being a 7 year old ARM device the performance is said to remain decent. "Upstream snafus have delayed the release of builds with GNOME Shell..."

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