Developer and librarian Misty De Meo, writing about her frustrating experience using GitHub: To me, one of GitHub's killer power user features is its blame view. git blame on the commandline is useful but hard to read; it's not the interface I reach for every day. GitHub's web UI is not only convenient, but the ease by which I can click through to older versions of the blame view on a line by line basis is uniquely powerful. It's one of those features that anchors me to a product: I stopped using offline graphical git clients because it was just that much nicer. The other day though, I tried to use the blame view on a large file and ran into an issue I don't remember seeing before: I just couldn't find the line of code I was searching for. I threw various keywords from that line into the browser's command+F search box, and nothing came up. I was stumped until a moment later, while I was idly scrolling the page while doing the search again, and it finally found the line I was looking for. I realized what must have happened. I'd heard rumblings that GitHub's in the middle of shipping a frontend rewrite in React, and I realized this must be it. The problem wasn't that the line I wanted wasn't on the page -- it's that the whole document wasn't being rendered at once, so my browser's builtin search bar just couldn't find it. On a hunch, I tried disabling JavaScript entirely in the browser, and suddenly it started working again. GitHub is able to send a fully server-side rendered version of the page, which actually works like it should, but doesn't do so unless JavaScript is completely unavailable. [...] The corporate branding, the new "AI-powered developer platform" slogan, makes it clear that what I think of as "GitHub" -- the traditional website, what are to me the core features -- simply isn't Microsoft's priority at this point in time. I know many talented people at GitHub who care, but the company's priorities just don't seem to value what I value about the service. This isn't an anti-AI statement so much as a recognition that the tool I still need to use every day is past its prime. Copilot isn't navigating the website for me, replacing my need to the website as it exists today. I've had tools hit this phase of decline and turn it around, but I'm not optimistic. It's still plenty usable now, and probably will be for some years to come, but I'll want to know what other options I have now rather than when things get worse than this.

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The US transportation department said on Tuesday it was opening an investigation into Delta Air Lines after the carrier canceled more than 5,000 flights since Friday as it struggles to recover from a global cyber outage that snarled airlines worldwide. From a report: While other carriers have been able to resume normal operations, Delta has continued to cancel hundreds of flights daily because of problems with its crew scheduling system. Since Friday Delta has been cancelling 30% or more of its flights daily through Monday, axing 444 flights on Tuesday, or 12% of its schedule as of 11.00am and delaying another 590, or 16%, according to FlightAware, after cancelling 1,150 on Monday. The transportation secretary, Pete Buttigieg, said on Tuesday the investigation was to "ensure the airline is following the law and taking care of its passengers during continued widespread disruptions ... Our department will leverage the full extent of our investigative and enforcement power to ensure the rights of Delta's passengers are upheld." Delta said it was in receipt of the USDOT notice of investigation and was fully cooperating. "Delta teams are working tirelessly to care for and make it right for customers impacted by delays and cancellations as we work to restore the reliable, on-time service they have come to expect from Delta," the airline said.

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merbs writes: Video games -- and the people who make them -- are in trouble. An estimated 10,500 people in the industry were laid off in 2023 alone. This year, layoffs in the nearly $200 billion sector have only gotten worse, with studios axing what is believed to be 11,000 more, and counting. Microsoft, home of the Xbox and parent company to several studios, including Activision Blizzard, shuttered Tango Gameworks and Alpha Dog Games in May. All the while, generative AI systems built by OpenAI and its competitors have been seeping into nearly every industry, dismantling whole careers along the way. But gaming might be the biggest industry AI stands poised to conquer. Its economic might has long since eclipsed Hollywood's, while its workforce remains mostly nonunion. A recent survey from the organizers of the Game Developers Conference found that 49 percent of the survey's more than 3,000 respondents said their workplace used AI, and four out of five said they had ethical concerns about its use. "It's here. It's definitely here, right now," says Violet, a game developer, technical artist, and a veteran of the industry who has worked on AAA games for over a decade. "I think everyone's seen it get used, and it's a matter of how and to what degree. The genie is out of the bottle, Pandora's box is opened." The story adds: "At Activision, it was the same. 'A lot of 2D artists were laid off,' Noah says. The department was slashed. 'Remaining concept artists,' he claims, 'were then forced to use AI to aid in their work.' Employees, according to Noah, have been made to sign up for AI trainings, and its use is being promoted throughout the org."

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smooth wombat writes: The FTC has sent mandatory notices for information to eight companies it says engages in "surveillance pricing", the process by which prices are rapidly changed using AI based on data about customer behavior and characteristics. This process, the FTC claims, allows companies to charge different customers different prices for the same product. The list includes Mastercard, JPMorgan Chase, Accenture and consulting giant McKinsey. It also includes software firm Task, which counts McDonald's and Starbucks as clients; Revionics, which works with Home Depot, Tractor Supply and grocery chain Hannaford; Bloomreach, which services FreshDirect, Total Wine and Puma; and Pros, which was named Microsoft's internet service vendor of the year this year. "Firms that harvest Americans' personal data can put people's privacy at risk," FTC Chair Lina Khan said in a news release. "Now firms could be exploiting this vast trove of personal information to charge people higher prices."

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Meta has warned that the EU's approach to regulating AI is creating the "risk" that the continent is cut off from accessing cutting-edge services, while the bloc continues its effort to rein in the power of Big Tech. From a report: Rob Sherman, the social media group's deputy privacy officer and vice-president of policy, confirmed a report that it had received a request from the EU's privacy watchdog to voluntarily pause the training of its future AI models on data in the region. He told the Financial Times this was in order to give local regulators time to "get their arms around the issue of generative AI." While the Facebook owner is adhering to the request, Sherman said such moves were leading to a "gap in the technologies that are available in Europe versus" the rest of the world. He added that, with future and more advanced AI releases, "it's likely that availability in Europe could be impacted." Sherman said: "If jurisdictions can't regulate in a way that enables us to have clarity on what's expected, then it's going to be harder for us to offer the most advanced technologies in those places ... it is a realistic outcome that we're worried about."

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Apple is advancing its plans for a foldable iPhone, with potential release as early as 2026, The Information reported Tuesday. The iPhone-maker has begun engaging with Asian suppliers for component production, the report added. The proposed device is said to feature a clamshell design, reminiscent of Samsung's Galaxy Z Flip series. The company faces considerable technical hurdles, including display crease issues and achieving optimal device thickness. Despite these challenges, the assignment of an internal codename, V68, suggests the project has progressed beyond the conceptual stage, the report added.

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Meta has released Llama 3.1, its largest open-source AI model to date, in a move that challenges the closed approaches of competitors like OpenAI and Google. The new model, boasting 405 billion parameters, is claimed by Meta to outperform GPT-4o and Claude 3.5 Sonnet on several benchmarks, with CEO Mark Zuckerberg predicting that Meta AI will become the most widely used assistant by year-end. Llama 3.1, which Meta says was trained using over 16,000 Nvidia H100 GPUs, is being made available to developers through partnerships with major tech companies including Microsoft, Amazon, and Google, potentially reducing deployment costs compared to proprietary alternatives. The release includes smaller versions with 70 billion and 8 billion parameters, and Meta is introducing new safety tools to help developers moderate the model's output. While Meta isn't disclosing what all data it used to train its models, the company confirmed it used synthetic data to enhance the model's capabilities. The company is also expanding its Meta AI assistant, powered by Llama 3.1, to support additional languages and integrate with its various platforms, including WhatsApp, Instagram, and Facebook, as well as its Quest virtual reality headset.

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Intel has finally figured out why its 13th and 14th generation core desktop CPUs are repeatedly crashing. From a report: In a forum post on Monday, Intel said it traced the problem to faulty software code, which can trigger the CPUs to run at higher voltage levels. Intel examined a number of 13th and 14th gen desktop processors that buyers had returned. "Our analysis of returned processors confirms that the elevated operating voltage is stemming from a microcode algorithm resulting in incorrect voltage requests to the processor," it says. But in some bad news, Intel still needs a few more weeks to test its fix for the problem. "Intel is currently targeting mid-August for patch release to partners following full validation," it says. The company also recently confirmed that the issue doesn't extend to its mobile processors.

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Amazon's strategy to set prices low for Echo speakers and other smart devices, expecting them to generate income elsewhere in the tech giant, hasn't paid off [paywalled]. From a report: Amazon's Echo speakers are the type of business success companies don't want: a widely purchased product that is also a giant money loser. Chief Executive Andy Jassy is trying to plug that hole -- and move away from the Amazon accounting tactic that helped create it. When Amazon launched the Echo smart home devices with its Alexa voice assistant in 2014, it pulled a page from shaving giant Gillette's classic playbook: sell the razors for a pittance in the hope of making heaps of money on purchases of the refill blades. A decade later, the payoff for Echo hasn't arrived. While hundreds of millions of customers have Alexa-enabled devices, the idea that people would spend meaningful amounts of money to buy goods on Amazon by talking to the iconic voice assistant on the underpriced speakers didn't take off. Customers actually used Echo mostly for free apps such as setting alarms and checking the weather. "We worried we've hired 10,000 people and we've built a smart timer," said a former senior employee. As a result, Amazon has lost tens of billions of dollars on its devices business, which includes Echos and other products such as Kindles, Fire TV Sticks and video doorbells, according to internal documents and people familiar with the business. Between 2017 and 2021, Amazon had more than $25 billion in losses from its devices business, according to the documents. The losses for the years before and after that period couldn't be determined.

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AT&T's February wireless outage disrupted over 92 million voice calls and hindered more than 25,000 attempts to reach emergency services, an FCC report said. The 12-hour nationwide incident affected approximately 125 million devices, including those of other providers using AT&T's network. Stemming from an equipment configuration error during a network change, the outage also impacted first responders' communications.

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An anonymous reader quotes a report from SFGate: A group of tech billionaires and millionaires has pulled its ballot measure that aimed to build a utopian city in Solano County. Instead, the group will go back to the drawing board the old-fashioned way by submitting an application to the county. The surprise announcement was made Monday by California Forever, a group of investors planning a city of 400,000 people in an agricultural part of the Bay Area near Rio Vista. It recently received the requisite number of signatures to put its East Solano Plan on the November ballot; that measure, if passed, would have removed some zoning restrictions that prevent this type of development in the area. California Forever will instead "submit an application for a General Plan & Zoning Amendment and proceed with the normal County process which includes preparation of a full Environmental Impact Report and the negotiation and execution of Development Agreement," Solano County Board of Supervisors Chair Mitch Mashburn said in a statement Monday. The news was celebrated by many in Solano County, where skepticism about the project ran deep. The group's secretive purchases of huge tracts of land first brought about national security fears, even from local politicians, who had no idea who was behind the project. When the plan to build a futuristic city was announced, California Forever faced widespread pushback, ranging from concerns about billionaire backers like Reid Hoffman and Laurene Powell Jobs to questions about the impacts on traffic, water usage and proximity to Travis Air Force Base. California Forever CEO Jan Sramek said in a statement: "We believe that with this process, we can build a shared vision that passes with a decisive majority and creates broad consensus for the future. We're excited about working with the Board of Supervisors, its land use subcommittee, and county staff to make this happen."

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Simon Sharwood reports via The Register: Chinese researchers have created a drone that weighs just over four grams -- less than a sheet of printer paper -- and may be able to fly indefinitely. Documented in a paper published last week in Nature, the drone uses an electrostatic motor that weighs just 1.52 grams and is powered by solar cells that produce 4.5V. The paper asserts that the drone's design has a lift-to-power efficiency two to three times better than that found in traditional drones. The authors suggested that if rechargeable batteries can be added, the craft could be capable of 24-hour flying operations.

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Rosemary Fowler, a pioneering physicist who discovered the kaon particle during her doctoral research in 1948, has been awarded an honorary doctorate from the University of Bristol -- 75 years after she left her PhD to raise a family. The Guardian reports: Rosemary Fowler, 98, discovered the kaon particle during her doctoral research under Cecil Powell at the University of Bristol in 1948, which contributed to his Nobel prize for physics in 1950. Fowler's discovery helped lead to a revolution in the theory of particle physics, and it continues to be proven correct -- predicting particles such as the Higgs boson, discovered at Cern in Geneva, Switzerland. But she left university without completing her PhD to marry fellow physicist Peter Fowler in 1949, a decision she later described as pragmatic after she went on to have three children in a time of postwar food rationing. At 22, Fowler spotted something when viewing unusual particle tracks -- a particle that decayed into three pions, a type of subatomic particle. She said: "I knew at once that it was new and would be very important. We were seeing things that hadn't been seen before -- that's what research in particle physics was. It was very exciting." The track, later labelled K, was evidence of an unknown particle, now known as the kaon or K meson. The K track was the mirror image of a particle seen before by colleagues in Manchester, but their track decayed into two pions, not three. Trying to understand how these images were the same, yet behaved differently, helped lead to a revolution in the theory of particle physics. The year after the discovery, Fowler left university having published her discovery in three academic papers.

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We're not going to look at code today, and instead, we're going to talk about a code metric. Specifically, "NPath complexity".

NPath complexity is a good metric to track, and many static analyzers will do it. Formally written, it's defined: "The NPath complexity of a method is the number of acyclic execution paths through that method." Or, more simply, not counting loop iterations, this is how many branches you have in a single method.

Obviously, for simplicity's sake, this number should be small. Hell, ideally, it should be small enough that you can count it on your fingers. Ideally, small enough that you can count it on your fingers after attempting to drunkenly operate a bandsaw with no training.

But a lot of code doesn't hit that threshold.

Nikola's team decided it was time to start tracking some of those metrics. The tool they were using set the default threshold where it complains at 200- 200 different code paths in a single function.

Nikola didn't provide the code. But she did provide a telling snippet from the report:

1508 The method setStatus() has an NPath complexity of 836081572200. The configured NPath complexity threshold is 200.

Obviously, that number is so large that it must be a bug- something about the code makes the static analyzer choke and fall over. But that's it's own kind of complexity- so complex it can't be meaningfully studied to extract metrics. And the function is several thousand lines long. Why is something called setStatus so complicated? No idea. But it seems like Nikola has some refactoring ahead of her.

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An anonymous reader quotes a report from MIT Technology Review: Researchers from Google have built a new weather prediction model that combines machine learning with more conventional techniques, potentially yielding accurate forecasts at a fraction of the current cost. The model, called NeuralGCM and described in a paper in Nature today, bridges a divide that's grown among weather prediction experts in the last several years. While new machine-learning techniques that predict weather by learning from years of past data are extremely fast and efficient, they can struggle with long-term predictions. General circulation models, on the other hand, which have dominated weather prediction for the last 50 years, use complex equations to model changes in the atmosphere and give accurate projections, but they are exceedingly slow and expensive to run. Experts are divided on which tool will be most reliable going forward. But the new model from Google instead attempts to combine the two. "It's not sort of physics versus AI. It's really physics and AI together," says Stephan Hoyer, an AI researcher at Google Research and a coauthor of the paper. The system still uses a conventional model to work out some of the large atmospheric changes required to make a prediction. It then incorporates AI, which tends to do well where those larger models fall flat -- typically for predictions on scales smaller than about 25 kilometers, like those dealing with cloud formations or regional microclimates (San Francisco's fog, for example). "That's where we inject AI very selectively to correct the errors that accumulate on small scales," Hoyer says. The result, the researchers say, is a model that can produce quality predictions faster with less computational power. They say NeuralGCM is as accurate as one-to-15-day forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF), which is a partner organization in the research. But the real promise of technology like this is not in better weather predictions for your local area, says Aaron Hill, an assistant professor at the School of Meteorology at the University of Oklahoma, who was not involved in this research. Instead, it's in larger-scale climate events that are prohibitively expensive to model with conventional techniques. The possibilities could range from predicting tropical cyclones with more notice to modeling more complex climate changes that are years away. "It's so computationally intensive to simulate the globe over and over again or for long periods of time," Hill says. That means the best climate models are hamstrung by the high costs of computing power, which presents a real bottleneck to research." The researchers said NeuralGCM will be open source and capable of running on less than 5,500 lines of code, compared with the nearly 377,000 lines required for the model from the National Oceanic and Atmospheric Administration (NOAA).

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Wiz, the cloud security startup that was in acquisition talks with Google, has decided not to forward with the deal and to remain an independent company, according to an internal note sent to company employees on Monday. Fortune: "While we are flattered by offers we have received, we have chosen to continue on our path to building Wiz," CEO Assaf Rappaport wrote in the note. Rappaport said in the email that the company's next target is to reach $1 billion in annual recurring revenue and to take the company public.

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The Japan Newspaper Publishers and Editors Association claims that AI-powered search engines by U.S. tech giants like Google and Microsoft likely infringe on copyright by using news articles without permission. Therefore, they're urging the Japanese government to quickly review and revise intellectual property laws to address these issues. Kyodo News reports (translated in English): The association argued in the statement that while traditional search engines direct users to various copyrighted material available online, AI search engines disclose the content, making them a completely different type of service. While stressing that in many instances, the essential content of the referenced article is reprinted in its entirety and therefore constitutes copyright infringement, the association also highlighted the issue of "zero-click searches," where users do not visit the source site. It warned that the lack of traffic could lead to the diminution of news organizations' reporting activities, which would then have a negative impact on democracy and culture. The statement also expressed concern over potential inaccuracies in responses generated by AI search engines, which could give the impression that the source articles themselves were erroneous and damage the credibility of news organizations. The association added that providing AI search engine services without obtaining permission to use the source articles could violate the antimonopoly law. "There are many reasons AI companies are attracted to Japan, including the need for its companies to rapidly develop their digital capabilities and the country's declining population, which is very open to AI," said Yutaka Matsuo, a professor at Tokyo University and chair of the government's AI council, in a statement to the Financial Times. "One other attraction is that AI companies are permitted to learn from information without infringing copyright laws," he added. The Financial Times says the push to bring AI companies to Japan has raised alarm for some content creators who worry their work isn't being protected. "As it relates to generative AI, Japan's existing Copyright Act does not contribute to protecting creators. In fact, it is focused on restricting the rights of creators," the Japanese Society for Rights of Authors, Composers and Publishers said in a statement.

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Azure used to be a cloud platform dedicated to Windows. Now, it's the most widely used operating system on Microsoft Azure. The New Stack's Joab Jackson writes: These days, Microsoft expends considerable effort that Linux runs as smoothly as possible on Azure, according to a talk given earlier this year at the Linux Foundation Open Source Summit given by two Microsoft Azure Linux Platforms Group program managers, Jack Aboutboul, and Krum Kashan. "Linux is the #1 operating system in Azure today," Aboutoul said. And all must be supported in a way that Microsoft users have come to expects. Hence, the need for the Microsoft's Linux Platforms Group, which provides support Linux to both the internal customers and to Azure customers. These days, the duo of engineers explained, Microsoft knows about as much as anyone about how to operate Linux at hyperscale. [...] As of today, there are hundreds of Azure and Azure-based services running on Linux, including the Azure Kubernetes Service (AKS), OpenAI, HDInsight, and many of the other database services. "A lot of the infrastructure powering everything else is running on Linux," Aboutoul said. "They're different flavors of Linux running all over the place," Aboutoul said. To run these services, Microsoft maintains its own kernel, Azure Linux, and in 2023 the company released its own version of Linux, Azure Linux. But Azure Linux is just a small portion of all the other flavors of Linux running on Azure, all of which Microsoft must work with to support. Overall, there are about 20,000 third-party Software as a Service (SaaS) packages in the Azure marketplace that rely on some Linux distribution. And when things go wrong, it is the Azure service engineers who get the help tickets. The company keeps a set of endorsed Linux distributions, which include Red Hat Enterprise Linux, Debian, Flatcar, Suse, Canonical, and Oracle Linux and CentOS (as managed by OpenLogic, not Red Hat). [...] Overall, the company gets about 1,000 images a month from these endorsed partners alone. Many of the distributions have multiple images (Suse has a regular one, and another one for high-performance computing, for instance).

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"Anyone who is into gaming knows your graphics card is under strain trying to display modern graphics," writes longtime Slashdot reader smooth wombat. "This results in increased power usage, which is then turned into heat. Keeping your card cool is a must to get the best performance possible." "However, hardware tester Igor's Lab found that vendors for Nvidia RTX 40-series cards are using cheap, poorly applied thermal paste, which is leading to high temperatures and consequently, performance degradation over time. This penny-pinching has been confirmed by Nick Evanson at PC Gamer." From the report: I have four RTX 40-series cards in my office (RTX 4080 Super, 4070 Ti, and two 4070s) and all of them have quite high hotspots -- the highest temperature recorded by an individual thermal sensor in the die. In the case of the 4080 Super, it's around 11 C higher than the average temperature of the chip. I took it apart to apply some decent quality thermal paste and discovered a similar situation to that found by Igor's Lab. In the space of a few months, the factory-applied paste had separated and spread out, leaving just an oily film behind, and a few patches of the thermal compound itself. I checked the other cards and found that they were all in a similar state. Igor's Lab examined the thermal paste used on a brand-new RTX 4080 and found it to be quite thin in nature, due to large quantities of cheap silicone oil being used, along with zinc oxide filler. There was lots of ground aluminium oxide (the material that provides the actual thermal transfer) but it was quite coarse, leading to the paste separating quite easily. Removing the factory-installed paste from another RTX 4080 graphics card, Igor's Lab applied a more appropriate amount of a high-quality paste and discovered that it lowered the hotspot temperature by nearly 30 C.

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An anonymous reader quotes a report from Ars Technica: The European Commission (EC) has finally taken action to block Meta's heavily criticized plan to charge a subscription fee to users who value privacy on its platforms. Surprisingly, this step wasn't taken under laws like the Digital Services Act (DSA), the Digital Markets Act (DMA), or the General Data Protection Regulation (GDPR). Instead, the EC announced Monday that Meta risked sanctions under EU consumer laws if it could not resolve key concerns about Meta's so-called "pay or consent" model. Meta's model is seemingly problematic, the commission said, because Meta "requested consumers overnight to either subscribe to use Facebook and Instagram against a fee or to consent to Meta's use of their personal data to be shown personalized ads, allowing Meta to make revenue out of it." Because users were given such short notice, they may have been "exposed to undue pressure to choose rapidly between the two models, fearing that they would instantly lose access to their accounts and their network of contacts," the EC said. To protect consumers, the EC joined national consumer protection authorities, sending a letter to Meta requiring the tech giant to propose solutions to resolve the commission's biggest concerns by September 1. That Meta's "pay or consent" model may be "misleading" is a top concern because it uses the term "free" for ad-based plans, even though Meta "can make revenue from using their personal data to show them personalized ads." It seems that while Meta does not consider giving away personal information to be a cost to users, the EC's commissioner for justice, Didier Reynders, apparently does. "Consumers must not be lured into believing that they would either pay and not be shown any ads anymore, or receive a service for free, when, instead, they would agree that the company used their personal data to make revenue with ads," Reynders said. "EU consumer protection law is clear in this respect. Traders must inform consumers upfront and in a fully transparent manner on how they use their personal data. This is a fundamental right that we will protect." Additionally, the EC is concerned that Meta users might be confused about how "to navigate through different screens in the Facebook/Instagram app or web-version and to click on hyperlinks directing them to different parts of the Terms of Service or Privacy Policy to find out how their preferences, personal data, and user-generated data will be used by Meta to show them personalized ads." They may also find Meta's "imprecise terms and language" confusing, such as Meta referring to "your info" instead of clearly referring to consumers' "personal data." A Meta spokesperson said in a statement: "Subscriptions as an alternative to advertising are a well-established business model across many industries. Subscription for no ads follows the direction of the highest court in Europe and we are confident it complies with European regulation."

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