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Hong Kong authorities have invoked national security laws for the first time to ban the Taiwan-made video game Reversed Front: Bonfire, accusing it of promoting "secessionist agendas, such as 'Taiwan independence' and 'Hong Kong independence.'" Engadget reports: Reversed Front: Bonfire was developed by a group known as ESC Taiwan, who are outspoken critics of the China's Communist Party. The game disappeared from the Apple App Store in Hong Kong less than 24 hours after authorities issued the warning. Google already removed the game from the Play Store back in May, because players were using hate speech as part of their usernames. ESC Taiwan told The New York Times that that the game's removal shows that apps like theirs are subject to censorship in mainland China. The group also thanked authorities for the free publicity on Facebook, as the game experienced a surge in Google searches. The game uses anime-style illustrations and allows players to fight against China's Communist Party by taking on the role of "propagandists, patrons, spies or guerrillas" from Hong Kong, Taiwan, Tibet, Mongolia and Xinjiang, which is home to ethnic minorities like the Uyghur. That said, they can also choose to play as government soldiers. In its warning, Hong Kong Police said that anybody who shares or recommends the game on the internet may be committing several offenses, including "incitement to secession, "incitement to subversion" and "offenses in connection with seditious intention." Anybody who has downloaded the game will be considered in "possession of a publication that has a seditious intention," and anybody who provides financial assistance to it will be violating national security laws, as well. "Those who have downloaded the application should uninstall it immediately and must not attempt to defy the law," the authorities wrote.

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An anonymous reader quotes a report from Ars Technica: The robot built by [Yuntao Ma and his team at ETH Zurich] was called ANYmal and resembled a miniature giraffe that plays badminton by holding a racket in its teeth. It was a quadruped platform developed by ANYbotics, an ETH Zurich spinoff company that mainly builds robots for the oil and gas industries. "It was an industry-grade robot," Ma said. The robot had elastic actuators in its legs, weighed roughly 50 kilograms, and was half a meter wide and under a meter long. On top of the robot, Ma's team fitted an arm with several degrees of freedom produced by another ETH Zurich spinoff called Duatic. This is what would hold and swing a badminton racket. Shuttlecock tracking and sensing the environment were done with a stereoscopic camera. "We've been working to integrate the hardware for five years," Ma said. Along with the hardware, his team was also working on the robot's brain. State-of-the-art robots usually use model-based control optimization, a time-consuming, sophisticated approach that relies on a mathematical model of the robot's dynamics and environment. "In recent years, though, the approach based on reinforcement learning algorithms became more popular," Ma told Ars. "Instead of building advanced models, we simulated the robot in a simulated world and let it learn to move on its own." In ANYmal's case, this simulated world was a badminton court where its digital alter ego was chasing after shuttlecocks with a racket. The training was divided into repeatable units, each of which required that the robot predict the shuttlecock's trajectory and hit it with a racket six times in a row. During this training, like a true sportsman, the robot also got to know its physical limits and to work around them. The idea behind training the control algorithms was to develop visuo-motor skills similar to human badminton players. The robot was supposed to move around the court, anticipating where the shuttlecock might go next and position its whole body, using all available degrees of freedom, for a swing that would mean a good return. This is why balancing perception and movement played such an important role. The training procedure included a perception model based on real camera data, which taught the robot to keep the shuttlecock in its field of view while accounting for the noise and resulting object-tracking errors. Once the training was done, the robot learned to position itself on the court. It figured out that the best strategy after a successful return is to move back to the center and toward the backline, which is something human players do. It even came with a trick where it stood on its hind legs to see the incoming shuttlecock better. It also learned fall avoidance and determined how much risk was reasonable to take given its limited speed. The robot did not attempt impossible plays that would create the potential for serious damage -- it was committed, but not suicidal. But when it finally played humans, it turned out ANYmal, as a badminton player, was amateur at best. The findings have been published in the journal Science Robotics. You can watch a video of the four-legged robot playing badminton on YouTube.

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An anonymous reader shares a report: A data broker owned by the country's major airlines, including Delta, American Airlines, and United, collected U.S. travellers' domestic flight records, sold access to them to Customs and Border Protection (CBP), and then as part of the contract told CBP to not reveal where the data came from, according to internal CBP documents obtained by 404 Media. The data includes passenger names, their full flight itineraries, and financial details. CBP, a part of the Department of Homeland Security (DHS), says it needs this data to support state and local police to track people of interest's air travel across the country, in a purchase that has alarmed civil liberties experts. The documents reveal for the first time in detail why at least one part of DHS purchased such information, and comes after Immigration and Customs Enforcement (ICE) detailed its own purchase of the data. The documents also show for the first time that the data broker, called the Airlines Reporting Corporation (ARC), tells government agencies not to mention where it sourced the flight data from. "The big airlines -- through a shady data broker that they own called ARC -- are selling the government bulk access to Americans' sensitive information, revealing where they fly and the credit card they used," Senator Ron Wyden said in a statement. ARC is owned and operated by at least eight major U.S. airlines, other publicly released documents show. The company's board of directors include representatives from Delta, Southwest, United, American Airlines, Alaska Airlines, JetBlue, and European airlines Lufthansa and Air France, and Canada's Air Canada. More than 240 airlines depend on ARC for ticket settlement services.

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The Wikimedia Foundation halted an experiment that would have displayed AI-generated summaries atop Wikipedia articles after the platform's volunteer editor community delivered an overwhelmingly negative response to the proposal. The foundation announced the two-week mobile trial on June 2 and suspended it just one day later following dozens of critical comments from editors. The experiment, called "Simple Article Summaries," would have used Cohere's open-weight Aya model to generate simplified versions of complex Wikipedia articles. The AI-generated summaries would have appeared at the top of articles with a yellow "unverified" label, requiring users to click to expand and read them. Editors responded with comments including "very bad idea," "strongest possible oppose," and simply "Yuck."

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HP has unveiled the first commercial hardware for Google Beam, the Android-maker's 3D video conferencing technology formerly known as Project Starline, with a price tag of $24,999. The HP Dimension features a 65-inch light field display paired with six high-speed cameras positioned around the screen to capture speakers from multiple angles, creating what the companies describe as a lifelike 3D representation without requiring headsets or glasses. The system processes visual data through Google's proprietary volumetric video model, which merges camera streams into 3D reconstructions with millimeter-scale precision at 60 frames per second. Beyond the hardware cost, users must purchase a separate Google Beam license for cloud processing, though pricing for that service remains undisclosed.

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The Vera C. Rubin Observatory in Chile will begin full operations in the coming months with the world's largest digital camera, capturing 3,200-megapixel images that would require several hundred HD television screens to display at full resolution. The $810 million facility will map the entire southern sky every three to four nights, observing each location approximately 800 times over its planned decade of operations. The telescope's unusual design allows it to photograph an area equivalent to 45 full moons in each shot and swing between different sky locations every 40 seconds. Its digital camera, roughly the size of a small car, will generate eight million alerts per night when it detects astronomical objects that move or change brightness, according to Tony Tyson, the University of California, Davis astronomer who conceived the project in the 1990s. Astrophysicist Federica Bianco, who received a preview of the telescope's first full-color image, described her reaction simply: "There are so many stars!" The team plans to unveil that inaugural image on June 23.

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Disney and NBCUniversal have filed a copyright infringement lawsuit against AI image generator firm Midjourney in U.S. District Court in Los Angeles, marking the first time major Hollywood studios have taken legal action against a generative AI company. The entertainment giants accuse Midjourney, founded in 2021, of training its software on "countless" copyrighted works without permission and enabling users to create images that "blatantly incorporate and copy" famous characters including Darth Vader, the Minions, Frozen's Elsa, Shrek, and Homer Simpson. The companies claim they attempted to resolve the matter privately, but Midjourney "continued to release new versions" with "even higher quality infringing images" according to the complaint. Disney's general counsel used the word "piracy," to describe Midjourney's practice, while NBCUniversal's general counsel characterized it as "blatant infringement."

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WhatsApp has applied to submit evidence in Apple's legal battle against the UK Home Office over government demands for access to encrypted user data. The messaging platform's boss Will Cathcart told the BBC the case "could set a dangerous precedent" by "emboldening other nations" to seek to break encryption protections. The confrontation began when Apple received a secret Technical Capability Notice from the Home Office earlier this year demanding the right to access data from its global customers for national security purposes. Apple responded by first pulling its Advanced Data Protection system from the UK, then taking the government to court to overturn the request. Cathcart said WhatsApp "would challenge any law or government request that seeks to weaken the encryption of our services." US Director of National Intelligence Tulsi Gabbard has called the UK's demands an "egregious violation" of American citizens' privacy rights.

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Apple executives defended the company's AI strategy this week after acknowledging that major Siri features announced at last year's Worldwide Developers Conference remain undelivered and were quietly pulled from development plans. Craig Federighi, Apple's senior vice president of software engineering, told the Wall Street Journal that the company is rebuilding Siri from the ground up, admitting that while Apple had working software for the promised features, "it didn't converge in the way quality-wise that we needed it to." The missing capabilities included Siri's ability to search through apps and respond to on-screen activities, features that were demonstrated a year ago but never shipped to users. In the upcoming iOS 26, Apple has instead incorporated more OpenAI technology, allowing users to interact with ChatGPT through camera and screenshots and generate images using OpenAI's tools. Federighi defended the strategy by comparing Apple's position to the early internet era, when the company focused on making other services accessible rather than building competing platforms.

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Smatch is a GPL-licensed static-analysis tool for C that has a lot of specialized checks for the kernel. Smatch has been used in the kernel for more than 20 years; Dan Carpenter, its primary author, decided last year that some details of its plugin system were due for a rewrite. He spoke at Linaro Connect 2025 about his work on Smatch, the changes to its implementation, and how those changes enabled him to easily add additional checks for locking bugs in the kernel.

The "Local Mess" GitHub repository is dedicated to the disclosure of an Android tracking exploit used by (at least) Meta and Yandex.

While there are subtle differences in the way Meta and Yandex bridge web and mobile contexts and identifiers, both of them essentially misuse the unvetted access to localhost sockets. The Android OS allows any installed app with the INTERNET permission to open a listening socket on the loopback interface (127.0.0.1). Browsers running on the same device also access this interface without user consent or platform mediation. This allows JavaScript embedded on web pages to communicate with native Android apps and share identifiers and browsing habits, bridging ephemeral web identifiers to long-lived mobile app IDs using standard Web APIs.

This backdoor, the use of which has evidently stopped since its disclosure, allow tracking of users across sites regardless of cookie policies or use of incognito browser modes.

Security updates have been issued by AlmaLinux (glibc, grafana, kernel-rt, libjpeg-turbo, libxslt, and thunderbird), Debian (curl), Fedora (dtk6core, dtk6gui, dtk6log, dtk6widget, fcitx5-qt, gammaray, kddockwidgets, kwin, LabPlot, libqtxdg, nheko, plasma-integration, python-pyqt6, python-pyside6, qt-creator, roundcubemail, zeal, and a large number of qt6 packages), Oracle (firefox, glibc, grafana, kernel, libxslt, perl-FCGI, python3.12-cryptography, thunderbird, and zlib), SUSE (glib2, libjxl, libsoup2, nbdkit, nodejs22, perl-Crypt-OpenSSL-RSA, perl-YAML-LibYAML, python3, tomcat, and transfig), and Ubuntu (dotnet8, dotnet9 and samba).

An anonymous reader quotes a report from TorrentFreak: Fresh data released by piracy tracking outfit MUSO shows that pirate sites remain popular. In a report released today, MUSO reveals that there were 216 billion pirate site visits globally in 2024, a slight decrease compared to the 229 billion visits recorded a year earlier. TV piracy remains by far the most popular category, representing over 44.6% of all website visits. This is followed by the publishing category with 30.7%, with film, software and music all at a respectable distance. Pirate site visitors originate from all over the world, but one country stands tall above all the rest: America. The United States remains the top driver of pirate site traffic accounting for more than 12% of all traffic globally, good for 26.7 billion visits in 2024. India has been steadily climbing the ranks for years and currently sits in second place with 17.6 billion annual visits, with Russia, Indonesia, and Vietnam completing the top five. As a country with one of the largest populations worldwide, it's not a complete surprise that the U.S. tops the list. If we counted visits per internet user, Canada and Ukraine would top the list. While pirate site visits dipped by more than 5% in 2024, one category saw substantial growth. Visits to publishing-related pirate sites increased 4.3% from 63.6 to 66.4 billion. The increase is largely driven by the popularity of manga, which accounts for more than 70% of all publishing piracy. Traditional book piracy, meanwhile, is stuck at 5%. The publishing piracy boom is relatively new. Over the past five years, the category grew by more than 100% while the overall number of global pirate site visits remained relatively flat. Looking at the global demand, we see that the U.S. also leads the charge here, followed by Indonesia and Russia. Notably, Japan, the home of manga, ranks fifth in the publishing category. This stands out because Japan is not listed in the global top 15 in terms of total pirate site visits. In the other content categories, MUSO's data shows a dip in pirate site visits. The changes are relatively modest for TV (-6.8%) and software (-2.1%) but the same isn't true for the music and film categories. In 2024, there were 18% fewer visits for pirated movies compared to a year earlier. MUSO notes that this is due to a "lighter blockbuster calendar" which reduced piracy peaks. "The drop in demand is as much about what wasn't released as it is about access," the report explains. The music category saw a 19% decline in piracy visits year over year, with a more uplifting explanation for rightsholders. According to MUSO, the drop can be partly attributed to "secure app ecosystems" and the "wide adoption of licensed platforms like Spotify and Apple Music."

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The FDA plans to use AI to "radically increase efficiency" in deciding whether to approve new drugs and devices, drawing on lessons from Operation Warp Speed to reduce review times to weeks. The plan was laid out in an article published Tuesday in JAMA. The New York Times reports: Another initiative involves a review of chemicals and other "concerning ingredients" that appear in U.S. food but not in the food of other developed nations. And officials want to speed up the final stages of making a drug or medical device approval decision to mere weeks, citing the success of Operation Warp Speed during the Covid pandemic when workers raced to curb a spiraling death count. [...] Last week, the agency introduced Elsa, an artificial intelligence large-language model similar to ChatGPT. The FDA said it could be used to prioritize which food or drug facilities to inspect, to describe side effects in drug safety summaries and to perform other basic product-review tasks. The FDA officials wrote that A.I. held the promise to "radically increase efficiency" in examining as many as 500,000 pages submitted for approval decisions. Current and former health officials said the A.I. tool was helpful but far from transformative. For one, the model limits the number of characters that can be reviewed, meaning it is unable to do some rote data analysis tasks. Its results must be checked carefully, so far saving little time. Staff members said that the model was hallucinating, or producing false information. Employees can ask the Elsa model to summarize text or act as an expert in a particular field of medicine.

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A mathematician on Reddit calculated that if all 8.2 billion humans were blended into a uniform goo, the resulting meatball would form a sphere just under 1 kilometer wide -- small enough to fit inside Central Park. ScienceAlert reports: "If you blended all 7.88 billion people on Earth into a fine goo (density of a human = 985 kg/m3, average human body mass = 62 kg), you would end up with a sphere of human goo just under 1 km wide," Reddit contributor kiki2703 wrote in a post ... Reasoning the density of a minced human to be 985 kilograms per cubic meter (62 pounds per cubic foot) is a fair estimate, given past efforts have judged our jiggling sack of grade-A giblets to average out in the ballpark of 1 gram per cubic centimeter, or roughly the same as water. And in mid-2021, the global population was just around 7.9 billion, give or take.

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An anonymous reader quotes a report from Reuters: Indirect carbon emissions from the operations of four of the leading AI-focused tech companies rose on average by 150% from 2020-2023, due to the demands of power-hungry data centers, a United Nations report (PDF) said on Thursday. The use of artificial intelligence by Amazon, Microsoft, Alphabet and Meta drove up their global indirect emissions because of the vast amounts of energy required to power data centers, the report by the International Telecommunication Union (ITU), the U.N. agency for digital technologies, said. Indirect emissions include those generated by purchased electricity, steam, heating and cooling consumed by a company. Amazon's operational carbon emissions grew the most at 182% in 2023 compared to three years before, followed by Microsoft at 155%, Meta at 145% and Alphabet at 138%, according to the report. The ITU tracked the greenhouse gas emissions of 200 leading digital companies between 2020 and 2023. [...] As investment in AI increases, carbon emissions from the top-emitting AI systems are predicted to reach up to 102.6 million tons of carbon dioxide equivalent per year, the report stated. The data centres that are needed for AI development could also put pressure on existing energy infrastructure. "The rapid growth of artificial intelligence is driving a sharp rise in global electricity demand, with electricity use by data centers increasing four times faster than the overall rise in electricity consumption," the report found. It also highlighted that although a growing number of digital companies had set emissions targets, those ambitions had not yet fully translated into actual reductions of emissions. UPDATE: The headline has been revised to clarify that four leading AI-focused tech companies saw their operational emissions rise to 150% of their 2020 levels by 2023 -- a 50% increase, not a 150% one.

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An anonymous reader quotes a report from Reuters: Indirect carbon emissions from the operations of four of the leading AI-focused tech companies rose on average by 150% from 2020-2023, due to the demands of power-hungry data centers, a United Nations report (PDF) said on Thursday. The use of artificial intelligence by Amazon, Microsoft, Alphabet and Meta drove up their global indirect emissions because of the vast amounts of energy required to power data centers, the report by the International Telecommunication Union (ITU), the U.N. agency for digital technologies, said. Indirect emissions include those generated by purchased electricity, steam, heating and cooling consumed by a company. Amazon's operational carbon emissions grew the most at 182% in 2023 compared to three years before, followed by Microsoft at 155%, Meta at 145% and Alphabet at 138%, according to the report. The ITU tracked the greenhouse gas emissions of 200 leading digital companies between 2020 and 2023. [...] As investment in AI increases, carbon emissions from the top-emitting AI systems are predicted to reach up to 102.6 million tons of carbon dioxide equivalent per year, the report stated. The data centres that are needed for AI development could also put pressure on existing energy infrastructure. "The rapid growth of artificial intelligence is driving a sharp rise in global electricity demand, with electricity use by data centers increasing four times faster than the overall rise in electricity consumption," the report found. It also highlighted that although a growing number of digital companies had set emissions targets, those ambitions had not yet fully translated into actual reductions of emissions.

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Michael Larabel of Phoronix highlights the key updates in today's stable release of FreeBSD 14.3: FreeBSD 14.3 has back-ported a number of improvements from FreeBSD 15 back to the FreeBSD 14 series. Plus a number of routine package updates and other fixes. Some of the FreeBSD 14.3-RELEASE highlights include: - Updating the ZFS support against OpenZFS 2.2.7. - Merging of the Realtek RTW88 and RTW89 WiFi drivers based on the Linux 6.14 kernel code. - The LinuxKPI code has been improved to support crypto offload as well as the 802.11n and 802.11ac standards. - The Intel IX Ethernet driver has added support for the x550 1000BAS-BX SFP modules. - Thor2 PCI IDs added to the Broadcom NetXtreme "BNXT" driver along with support for 400G speed modules. - XZ 5.8.1, OpenSSH 9.9p2, OpenSSL 3.0.16, and many other package updates. - Syscons as the legacy system console driver is now considered deprecated. Syscons is not compatible with UEFI, lacks UTF-8 support, and is Giant-locked. You can download and learn more about FreeBSD 14.3 via FreeBSD.org.

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"Twelve years ago, a baby was born after someone used bitcoin to pay for a frozen egg IVF," writes longtime Slashdot reader bobdevine. "I, for one, welcome..." Blockworks tells the story of how it all came to be: In February 2012 -- almost two years after Laszlo's pizzas -- a fertility doctor named C. Terence Lee set about a personal and professional quest to onboard his patients to Bitcoin by accepting BTC for his services. He started with a "Bitcoin accepted here" sign in his window, and then a Reddit post. "Jumping in to do my part to support the BTC economy. This may be a historic first?" Lee wrote in a post on the BitMarket subreddit, titled: "[WTS][USA] Male Fertility Evaluation." Lee was offering a 15-minute consultation to discuss fertility questions and a sperm analysis in exchange for 15 BTC, valued at $70 or so at the time. "Actual value over $100," he wrote. Within three months, he'd found a Bitcoin customer. "The patient turned out not... so much having a burning desire to know about his fertility, but he was a Bitcoin enthusiast, and he liked the idea of participating in history, in this ritual ceremony of what could be perhaps the world's first Bitcoin medical transaction," Lee explained at a 2013 conference in San Jose. "So we chatted about Bitcoin. He taught me a lot about mining. That's how he acquired bitcoin. And we did a sperm test, and it turned out he had really good sperm ... after it was done he sent me 15 bitcoins... " Lee changed up his strategy to only quiz his most trusted patients. There was one couple, who, on their fourth attempt at IVF, agreed to pay in bitcoin for a 50% discount, with Lee walking them through exchanging U.S. dollars for bitcoin via CryptoXChange, a now-defunct exchange operating out of Australia. The sperm stuck, leading CNN to reveal, on this day in 2013, "the world's first Bitcoin baby" -- a baby bought entirely with bitcoin. Thirty bitcoin to be exact, an amount then worth $500, or $3 million today.

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"It is true, Google AI is stomping on the entire internet," writes Slashdot reader TheWho79, sharing a report from the Wall Street Journal. "From HuffPost to the Atlantic, publishers prepare to pivot or shut the doors. ... Even highly regarded old school bullet-proof publications like Washington Post are getting hit hard." From the report: Traffic from organic search to HuffPost's desktop and mobile websites fell by just over half in the past three years, and by nearly that much at the Washington Post, according to digital market data firm Similarweb. Business Insider cut about 21% of its staff last month, a move CEO Barbara Peng said was aimed at helping the publication "endure extreme traffic drops outside of our control." Organic search traffic to its websites declined by 55% between April 2022 and April 2025, according to data from Similarweb. At a companywide meeting earlier this year, Nicholas Thompson, chief executive of the Atlantic, said the publication should assume traffic from Google would drop toward zero and the company needed to evolve its business model. [...] "Google is shifting from being a search engine to an answer engine," Thompson said in an interview with The Wall Street Journal. "We have to develop new strategies." The rapid development of click-free answers in search "is a serious threat to journalism that should not be underestimated," said William Lewis, the Washington Post's publisher and chief executive. Lewis is former CEO of the Journal's publisher, Dow Jones. The Washington Post is "moving with urgency" to connect with previously overlooked audiences and pursue new revenue sources and prepare for a "post-search era," he said. At the New York Times, the share of traffic coming from organic search to the paper's desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb. The Wall Street Journal's traffic from organic search was up in April compared with three years prior, Similarweb data show, though as a share of overall traffic it declined to 24% from 29%. Further reading: Google's AI Mode Is 'the Definition of Theft,' Publishers Say

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