An anonymous reader quotes a report from The Guardian: Underwater speakers that broadcast the hustle and bustle of thriving coral could bring life back to more damaged and degraded reefs that are in danger of becoming ocean graveyards, researchers say. Scientists working off the US Virgin Islands in the Caribbean found that coral larvae were up to seven times more likely to settle at a struggling reef where they played recordings of the snaps, groans, grunts and scratches that form the symphony of a healthy ecosystem. "We're hoping this may be something we can combine with other efforts to put the good stuff back on the reef," said Nadeege Aoki at the Woods Hole Oceanographic Institution in Massachusetts. "You could leave a speaker out for a certain amount of time and it could be attracting not just coral larvae but fish back to the reef."

The world has lost half its coral reefs since the 1950s through the devastating impact of global heating, overfishing, pollution, habitat loss and outbreaks of disease. The hefty declines have fueled efforts to protect remaining reefs through approaches that range from replanting with nursery-raised corals to developing resilient strains that can withstand warming waters. Aoki and her colleagues took another tack, building on previous research which showed that coral larvae swim towards reef sounds. They set up underwater speakers at three reefs off St John, the smallest of the US Virgin Islands, and measured how many coral larvae, held in sealed containers of filtered sea water, settled on to pieces of rock-like ceramic in the containers up to 30 meters from the speakers.

While the researchers installed speakers at all three sites, they only played sounds from a thriving reef at one: the degraded Salt Pond reef, which was bathed in the marine soundscape for three nights. The other two sites, the degraded Cocoloba and the healthier Tektite reefs were included for comparison. When coral larvae are released into the water column they are carried on the currents, and swim freely, before finding a spot to settle. Once they drop to the ocean floor, they become fixed to the spot and -- if they survive -- mature into adults. Writing in the Royal Society Open Science journal, the researchers describe how, on average, 1.7 times more coral larvae settled at the Salt Pond reef than at the other sites where no reef sounds were played. The settlement rates at Salt Pond dropped with distance from the speaker, suggesting the broadcasts were responsible. While the results are promising, Aoki said more work is afoot to understand whether other coral species respond to reef sounds in the same way, and whether the corals thrive after settling. "You have to be very thoughtful about the application of this technology," Aoki added. "You don't want to encourage them to settle where they will die. It really has to be a multi-pronged effort with steps in place to ensure the survival of these corals and their growth over time."

Contributors from Apple, Google, Microsoft, and Mozilla, writing for BrowserBench: Since the initial version of the Speedometer benchmark was released in 2014 by the WebKit team, it has become a key tool for browser engines to drive performance optimizations as users and developers continue to demand richer and smoother experiences online.

We're proud to release Speedometer 3.0 today as a collaborative effort between the three major browser engines: Blink, Gecko, and WebKit. Like previous releases (Speedometer 2 in 2018 and Speedometer 1 in 2014), it's designed to measure web application responsiveness by simulating user interactions on real web pages. Today's release of Speedometer 3.0 marks a major step forward in web browser performance testing: it introduces a better way of measuring performance and a more representative set of tests that reflect the modern Web.

This is the first time the Speedometer benchmark, or any major browser benchmark, has been developed through a cross-industry collaboration supported by each major browser engine: Blink/V8, Gecko/SpiderMonkey, and WebKit/JavaScriptCore. It's been developed under a new governance model, driven by consensus, and is hosted in a shared repository that's open to contribution. This new structure involves a lot of collective effort: discussions, research, debates, decisions, and hundreds of PRs since we announced the project in December 2022.

Speedometer 3 adds many new tests. We started designing this new benchmark by identifying some key scenarios and user interactions that we felt were important for browsers to optimize. In particular, we added new tests that simulate rendering canvas and SVG charts (React Stockcharts, Chart.js, Perf Dashboard, and Observable Plot), code editing (CodeMirror), WYSIWYG editing (TipTap), and reading news sites (Next.js and Nuxt.js).

Automakers, including G.M., Honda, Kia, and Hyundai, have been collecting detailed driving data from millions of Americans through internet-enabled connected-car apps. The data, which includes information on speed, hard braking, and rapid accelerations, is shared with data brokers like LexisNexis. These brokers then provide the information to insurance companies, which use it to personalize coverage and set rates, The New York Times reported Monday. While automakers and data brokers claim to have drivers' consent, the partnerships are often obscured in fine print and unclear privacy policies. The practice raises concerns about privacy and transparency, as some drivers may be unaware that their driving habits are being tracked and shared with third parties.

Carriers have gotten stricter about how many items you can take on board, no matter how small they are. From a report: Fanny packs. Cross-body bags. Shopping bags. Pillows and blankets. The Southwest Airlines gate agent rattled off so many items that counted toward the two carry-on bag limit on my flight to Baltimore, I thought it might be a playful jab at Spirit and Frontier and their rigid carry-on policing to collect more fees. But this was no joke. Southwest quietly began cracking down on carry-on bags on Feb. 22, ahead of the spring and summer travel rush, advising gate agents of the changes in a memo. This crackdown isn't about bag size. It is about how many bags you have.

Southwest isn't alone in putting passengers' personal items in its crosshairs as a way to save precious bin space and speed up boarding. Delta and United agents have also recently asked me to stuff my small Lululemon bag in my backpack. One American Airlines frequent flier told me he watched gate agents in Sacramento, Calif., and Dallas list a litany of items that count as a personal item on weekend flights to Nashville, Tenn., last month. Carting all your stuff to the gate can save you time and often saves money, especially with some airlines' new, higher checked-baggage fees. Delta joined the club on Tuesday, announcing prices of $35 for your first bag and $45 for your second. But testing airlines' carry-on limits is now more likely to backfire, and lose you precious time as airlines make you consolidate items or check a bag at the gate.

An anonymous reader quotes a report from The Guardian: The average toddler is missing out on hearing more than 1,000 words spoken by an adult each day due to screen time, setting back their language skills, a first-of-its kind study has found. The research, published on Tuesday in the Journal of the American Medical Association (Jama) Pediatrics, tracked 220 Australian families over two years to measure the relationship between family screen use and children's language environment. Families recorded all the audio around their child using advanced speech recognition technology over a 16-hour period on an average day at home. They repeated this process every six months between the ages of 12 and 36 months. The lead researcher, Dr Mary Brushe from the Telethon Kids Institute, said: "The technology we use is essentially like a Fitbit, but instead of counting the number of steps, this device counts the number of words spoken by, to and around the child." The device also picked up electronic noise, which the researchers analyzed to calculate screen time.

The researchers found young children's exposure to screens including TVs and phones was interfering with their language opportunities, with the association most pronounced at three years of age. For every extra minute of screen time, the three-year-olds in the study were hearing seven fewer words, speaking five fewer words themselves and engaging in one less conversation. The study found the average three-year-old in the study was exposed to two hours and 52 minutes of screen time a day. Researchers estimated this led to those children being exposed to 1,139 fewer adult words, 843 fewer child words and 194 fewer conversations. Because the study couldn't capture parents' silent phone use, including reading emails, texting or quietly scrolling through websites or social media, Brushe said they might have underestimated how much screen usage is affecting children.

A language-rich home environment was critical in supporting infants and toddlers' language development, Brushe said. While some educational children's shows were designed to help children's language skills, very young kids in the age group of the study could struggle to translate television shows into their own life, she said. This study did not differentiate between whether children were watching high- or low-quality screen content.

Longtime Slashdot reader SonicSpike shares a report from The Intercept: With the new version of Signal, you will no longer broadcast your phone number to everyone you send messages to by default, though you can choose to if you want. Your phone number will still be displayed to contacts who already have it stored in their phones. Going forward, however, when you start a new conversation on Signal, your number won't be shared at all: Contacts will just see the name you use when you set up your Signal profile. So even if your contact is using a custom Signal client, for example, they still won't be able to discover your phone number since the service will never tell it to them.

You also now have the option to set a username, which Signal lets you change whenever you want and delete when you don't want it anymore. Rather than directly storing your username as part of your account details, Signal stores a cryptographic hash of your username instead; Signal uses the Ristretto 25519 hashing algorithm, essentially storing a random block of data instead of usernames themselves. This is like how online services can confirm a user's password is valid without storing a copy of the actual password itself. "As far as we're aware, we're the only messaging platform that now has support for usernames that doesn't know everyone's usernames by default," said Josh Lund, a senior technologist at Signal. The move is yet another piece of the Signal ethos to keep as little data on hand as it can, lest the authorities try to intrude on the company. Whittaker explained, "We don't want to be forced to enumerate a directory of usernames." [...]

If Signal receives a subpoena demanding that they hand over all account data related to a user with a specific username that is currently active at the time that Signal looks it up, they would be able to link it to an account. That means Signal would turn over that user's phone number, along with the account creation date and the last connection date. Whittaker stressed that this is "a pretty narrow pipeline that is guarded viciously by ACLU lawyers," just to obtain a phone number based on a username. Signal, though, can't confirm how long a given username has been in use, how many other accounts have used it in the past, or anything else about it. If the Signal user briefly used a username and then deleted it, Signal wouldn't even be able to confirm that it was ever in use to begin with, much less which accounts had used it before.

In short, if you're worried about Signal handing over your phone number to law enforcement based on your username, you should only set a username when you want someone to contact you, and then delete it afterward. And each time, always set a different username. Likewise, if you want someone to contact you securely, you can send them your Signal link, and, as soon as they make contact, you can reset the link. If Signal receives a subpoena based on a link that was already reset, it will be impossible for them to look up which account it was associated with. If the subpoena demands that Signal turn over account information based on a phone number, rather than a username, Signal could be forced to hand over the cryptographic hash of the account's username, if a username is set. It would be difficult, however, for law enforcement to learn the actual username itself based on its hash. If they already suspect a username, they could use the hash to confirm that it's real. Otherwise, they would have to guess the username using password cracking techniques like dictionary attacks or rainbow tables.

According to the latest data from StatCounter, Linux's market share has reached 4.03% -- surging by an additional 1% in the last eight months. What's the reason behind this recent growth? "That's a good question," writes ZDNet's Steven Vaughan-Nichols. "While Windows is the king of the hill with 72.13% and MacOS comes in a distant second at 15.46%, it's clear that Linux is making progress." An anonymous Slashdot reader shares the five reasons why Vaughan-Nichols thinks it's growing: 1. Microsoft isn't that interested in Windows
If you think Microsoft is all about the desktop and Windows, think again. Microsoft's profits these days come from its Azure cloud and Software-as-a-Service (SaaS), Microsoft 365 in particular. Microsoft doesn't want you to buy Windows; the Redmond powerhouse wants you to subscribe to Windows 365 Cloud PC. And, by the way, you can run Windows 365 Cloud PC on Macs, Chromebooks, Android tablets, iPads, and, oh yes, Linux desktops.

2. Linux gaming, thanks to Steam, is also growing
Gaming has never been a strong suit for Linux, but Linux gamers are also a slowly growing group. I suspect that's because Steam, the most popular Linux gaming platform, also has the lion's share of the gaming distribution market

3. Users are finally figuring out that some Linux distros are easy to use
Even now, you'll find people who insist that Linux is hard to master. True, if you want to be a Linux power user, Linux will challenge you. But, if all you want to do is work and play, many Linux distributions are suitable for beginners. For example, Linux Mint is simple to use, and it's a great end-user operating system for everyone and anyone.

4. Finding and installing Linux desktop software is easier than ever
While some Linux purists dislike containerized application installation programs such as Flatpak, Snap, and AppImage, developers love them. Why? They make it simple to write applications for Linux that don't need to be tuned just right for all the numerous Linux distributions. For users, that means they get more programs to choose from, and they don't need to worry about finicky installation details.

5. The Linux desktop is growing in popularity in India
India is now the world's fifth-largest economy, and it's still growing. Do you know what else is growing in India? Desktop Linux. In India, Windows is still the number one operating system with 70.37%, but number two is Linux, with 15.23%. MacOS is way back in fourth place with 3.11%. I suspect this is the case because India's economy is largely based on technology. Where you find serious programmers, you find Linux users.

Longtime Slashdot reader jmv writes: After more than two years of work, Opus 1.5 is out. It brings many new features that can improve quality and the general audio experience through machine learning, while maintaining fully-compatibility with previous releases. See this release page demonstrating all the new features, including:

• Significant improvement to packet loss robustness using Deep Redundancy (DRED)
• Improved packet loss concealment through Deep PLC
• Low-bitrate speech quality enhancement down to 6 kb/s wideband
• Improved x86 (AVX2) and Arm (Neon) optimizations
• Support for 4th and 5th order ambisonics

Long-time Slashdot reader theodp writes: CACM [Communications of the ACM] Is Now Open Access," proclaims the Association for Computing Machinery (ACM) in its tear-down-this-CACM-paywall announcement. "More than six decades of CACM's renowned research articles, seminal papers, technical reports, commentaries, real-world practice, and news articles are now open to everyone, regardless of whether they are members of ACM or subscribe to the ACM Digital Library."

Ironically, clicking on Google search results for older CACM articles on Aaron Swartz currently returns page-not-found error messages and the CACM's own search can't find Aaron Swarz either, so perhaps there's some work that remains to be done with the transition to CACM's new website. ACM plans to open its entire archive of over 600,000 articles when its five-year transition to full Open Access is complete (January 2026 target date).
"They are right..." the site's editor-in-chief told Slashdot. "We need to get Google to reindex the new site ASAP."

Elon Musk has sued OpenAI, its co-founders Sam Altman and Greg Brockman and affiliated entities, alleging the ChatGPT makers have breached their original contractual agreements by pursuing profits instead of the non-profit's founding mission to develop AI that benefits humanity. TechCrunch: Musk, a co-founder and early backer of OpenAI, claims Altman and Brockman convinced him to help found and bankroll the startup in 2015 with promises it would be a non-profit focused on countering the competitive threat from Google. The founding agreement required OpenAI to make its technology "freely available" to the public, the lawsuit alleges.

The lawsuit, filed in a court in San Francisco late Thursday, says that OpenAI, the world's most valuable AI startup, has shifted to a for-profit model focused on commercializing its AGI research after partnering with Microsoft, the world's most valuable company that has invested about $13 billion into the startup. "In reality, however, OpenAI, Inc. has been transformed into a closed-source de facto subsidiary of the largest technology company in the world: Microsoft. Under its new board, it is not just developing but is actually refining an AGI to maximize profits for Microsoft, rather than for the benefit of humanity," the lawsuit adds. "This was a stark betrayal of the Founding Agreement."

An anonymous reader quotes an excerpt from a Wired article: In 2019, a government contractor and technologist named Mike Yeagley began making the rounds in Washington, DC. He had a blunt warning for anyone in the country's national security establishment who would listen: The US government had a Grindr problem. A popular dating and hookup app, Grindr relied on the GPS capabilities of modern smartphones to connect potential partners in the same city, neighborhood, or even building. The app can show how far away a potential partner is in real time, down to the foot. But to Yeagley, Grindr was something else: one of the tens of thousands of carelessly designed mobile phone apps that leaked massive amounts of data into the opaque world of online advertisers. That data, Yeagley knew, was easily accessible by anyone with a little technical know-how. So Yeagley -- a technology consultant then in his late forties who had worked in and around government projects nearly his entire career -- made a PowerPoint presentation and went out to demonstrate precisely how that data was a serious national security risk.

As he would explain in a succession of bland government conference rooms, Yeagley was able to access the geolocation data on Grindr users through a hidden but ubiquitous entry point: the digital advertising exchanges that serve up the little digital banner ads along the top of Grindr and nearly every other ad-supported mobile app and website. This was possible because of the way online ad space is sold, through near-instantaneous auctions in a process called real-time bidding. Those auctions were rife with surveillance potential. You know that ad that seems to follow you around the internet? It's tracking you in more ways than one. In some cases, it's making your precise location available in near-real time to both advertisers and people like Mike Yeagley, who specialized in obtaining unique data sets for government agencies.

Working with Grindr data, Yeagley began drawing geofences -- creating virtual boundaries in geographical data sets -- around buildings belonging to government agencies that do national security work. That allowed Yeagley to see what phones were in certain buildings at certain times, and where they went afterwards. He was looking for phones belonging to Grindr users who spent their daytime hours at government office buildings. If the device spent most workdays at the Pentagon, the FBI headquarters, or the National Geospatial-Intelligence Agency building at Fort Belvoir, for example, there was a good chance its owner worked for one of those agencies. Then he started looking at the movement of those phones through the Grindr data. When they weren't at their offices, where did they go? A small number of them had lingered at highway rest stops in the DC area at the same time and in proximity to other Grindr users -- sometimes during the workday and sometimes while in transit between government facilities. For other Grindr users, he could infer where they lived, see where they traveled, even guess at whom they were dating.

Intelligence agencies have a long and unfortunate history of trying to root out LGBTQ Americans from their workforce, but this wasn't Yeagley's intent. He didn't want anyone to get in trouble. No disciplinary actions were taken against any employee of the federal government based on Yeagley's presentation. His aim was to show that buried in the seemingly innocuous technical data that comes off every cell phone in the world is a rich story -- one that people might prefer to keep quiet. Or at the very least, not broadcast to the whole world. And that each of these intelligence and national security agencies had employees who were recklessly, if obliviously, broadcasting intimate details of their lives to anyone who knew where to look. As Yeagley showed, all that information was available for sale, for cheap. And it wasn't just Grindr, but rather any app that had access to a user's precise location -- other dating apps, weather apps, games. Yeagley chose Grindr because it happened to generate a particularly rich set of data and its user base might be uniquely vulnerable. The report goes into great detail about how intelligence and data analysis techniques, notably through a program called Locomotive developed by PlanetRisk, enabled the tracking of mobile devices associated with Russian President Vladimir Putin's entourage. By analyzing commercial adtech data, including precise geolocation information collected from mobile advertising bid requests, analysts were able to monitor the movements of phones that frequently accompanied Putin, indicating the locations and movements of his security personnel, aides, and support staff.

This capability underscored the surveillance potential of commercially available data, providing insights into the activities and security arrangements of high-profile individuals without directly compromising their personal devices.

Wikipedia has downgraded tech website CNET's reliability rating following extensive discussions among its editors regarding the impact of AI-generated content on the site's trustworthiness. "The decision reflects concerns over the reliability of articles found on the tech news outlet after it began publishing AI-generated stories in 2022," adds Ars Technica. Futurism first reported the news. From the report: Wikipedia maintains a page called "Reliable sources/Perennial sources" that includes a chart featuring news publications and their reliability ratings as viewed from Wikipedia's perspective. Shortly after the CNET news broke in January 2023, Wikipedia editors began a discussion thread on the Reliable Sources project page about the publication. "CNET, usually regarded as an ordinary tech RS [reliable source], has started experimentally running AI-generated articles, which are riddled with errors," wrote a Wikipedia editor named David Gerard. "So far the experiment is not going down well, as it shouldn't. I haven't found any yet, but any of these articles that make it into a Wikipedia article need to be removed." After other editors agreed in the discussion, they began the process of downgrading CNET's reliability rating.

As of this writing, Wikipedia's Perennial Sources list currently features three entries for CNET broken into three time periods: (1) before October 2020, when Wikipedia considered CNET a "generally reliable" source; (2) between October 2020 and present, when Wikipedia notes that the site was acquired by Red Ventures in October 2020, "leading to a deterioration in editorial standards" and saying there is no consensus about reliability; and (3) between November 2022 and January 2023, when Wikipedia considers CNET "generally unreliable" because the site began using an AI tool "to rapidly generate articles riddled with factual inaccuracies and affiliate links."

Futurism reports that the issue with CNET's AI-generated content also sparked a broader debate within the Wikipedia community about the reliability of sources owned by Red Ventures, such as Bankrate and CreditCards.com. Those sites published AI-generated content around the same period of time as CNET. The editors also criticized Red Ventures for not being forthcoming about where and how AI was being implemented, further eroding trust in the company's publications. This lack of transparency was a key factor in the decision to downgrade CNET's reliability rating. A CNET spokesperson said in a statement: "CNET is the world's largest provider of unbiased tech-focused news and advice. We have been trusted for nearly 30 years because of our rigorous editorial and product review standards. It is important to clarify that CNET is not actively using AI to create new content. While we have no specific plans to restart, any future initiatives would follow our public AI policy."

According to the Washington Post (paywalled), the FBI is using mobile push notification data to unmask people suspected of serious crimes, such as pedophilia, terrorism, and murder. Gizmodo reports: The Post did a little digging into court records and found evidence of at least 130 search warrants filed by the feds for push notification data in cases spanning 14 states. In those cases, FBI officials asked tech companies like Google, Apple, and Facebook to fork over data related to a suspect's mobile notifications, then used the data to implicate the suspect in criminal behavior linked to a particular app, even though many of those apps were supposedly anonymous communication platforms, like Wickr.

How exactly is this possible? Push notifications, which are provided by a mobile operating system provider, include embedded metadata that can be examined to understand the use of the mobile apps on a particular phone. Apps come laced with a quiet identifier, a "push token," which is stored on the corporate servers of a company like Apple or another phone manufacturer after a user signs up to use a particular app. Those tokens can later be used to identify the person using the app, based on the information associated with the device on which the app was downloaded. Even turning off push notifications on your device doesn't necessarily disable this feature, experts contend. [...]

If finding new ways to catch pedophiles and terrorists doesn't seem like the worst thing in the world, the Post article highlights the voices of critics who fear that this kind of mobile data could be used to track people who have not committed serious crimes -- like political activists or women seeking abortions in states where the procedure has been restricted.