A proposed California bill would require 3D printer makers to use state-certified software to detect and block files for gun parts, but advocates at the Electronic Frontier Foundation (EFF) say it would be easy to evade and could lead to widespread surveillance of users' printing activity. The Register reports: The bill in question is AB 2047, the scope of which, on paper, appears strict. The primary goal is clear and simple: to require 3D printer manufacturers to use a state-certified algorithm that checks digital design files for firearm components and blocks print jobs that would produce prohibited parts. [...] Cliff Braun and Rory Mir, who respectively work in policy and tech community engagement at the EFF, claim that the proposals in California are technically infeasible and in practice will lead to consumer surveillance. In a series of blog posts published this month, the pair argued that print-blocking technology -- proposals for which have also surfaced in states including New York and Washington - cannot work for a range of technical reasons. They argued that because 3D printers and other types of computer numerical control (CNC) machines are fairly simple, with much of their brains coming from the computer-aided manufacturing (CAM) software -- or slicer software -- to which they are linked, the bill would establish legal and illegal software. Proprietary software will likely become the de facto option, leaving open source alternatives to rot. "Under these proposed laws, manufacturers of consumer 3D printers must ensure their printers only work with their software, and implement firearm detection algorithms on either the printer itself or in a slicer software," wrote Braun earlier this month. "These algorithms must detect firearm files using a maintained database of existing models. Vendors of printers must then verify that printers are on the allow-list maintained by the state before they can offer them for sale. Owners of printers will be guilty of a crime if they circumvent these intrusive scanning procedures or load alternative software, which they might do because their printer manufacturer ends support." Braun also argued that it would be trivial for anyone who uses 3D printers to make small tweaks to either the visual models of firearms parts, or the machine instructions (G-code) generated from those models, to evade detection. Mir further argued that the bill offers no guardrails to keep this "constantly expanding blacklist" limited to firearm-related designs. In his view, there is a clear risk that this approach will creep into other forms of alleged unlawful activity, such as copyright infringement. [...] Braun and Mir have a list of other arguments against the bill. They say the algorithms are more than likely to lead to false positives, which will prevent good-faith users from using their hardware. Many 3D printer owners also have no interest in printing firearm components. Most simply want the freedom to print trinkets and spare parts while others use them to print various items and sell them as an income stream.

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alternative_right shares a report from 404 Media: An independent privacy audit of Microsoft, Meta, and Google web traffic in California found that the companies may be violating state regulations and racking up billions in fines. According to the audit from privacy search engine webXray, 55 percent of the sites it checked set ad cookies in a user's browser even if they opted out of tracking. Each company disputed or took issue with the research, with Google saying it was based on a "fundamental misunderstanding" of how its product works. The webXray California Privacy Audit viewed web traffic on more than 7,000 popular websites in California in the month of March and found that most tech companies ignore when a user asks to opt-out of cookie tracking. California has stringent and well defined privacy legislation thanks to its California Consumer Privacy Act (CCPA) which allows users to, among other things, opt out of the sale of their personal information. There's a system called Global Privacy Control (GPC), which includes a browser extension that indicates to a website when a user wants to opt out of tracking. According to the webXray audit, Google failed to let users opt out 87 percent of the time. "Google's failure to honor the GPC opt-out signal is easy to find in network traffic. When a browser using GPC connects to Google's servers it encodes the opt-out signal by sending the code 'sec-gpc: 1.' This means Google should not return cookies," the audit said. "However, when Google's server responds to the network request with the opt-out it explicitly responds with a command to create an advertising cookie named IDE using the 'set-cookie' command. This non-compliance is easy to spot, hiding in plain sight." The audit said that Microsoft fails to opt out users in the same way and has a failure rate of 50 percent in the web traffic webXray viewed. Meta's failure rate was 69 percent and a bit more comprehensive. "Meta instructs publishers to install the following tracking code on their websites. The code contains no check for globally standard opt-out signals -- it loads unconditionally, fires a tracking event, and sets a cookie regardless of the consumer's privacy preferences," the audit said. It showed a copy of Meta's tracking data which contains no GPC check at all.

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Google is rolling out a Chrome feature called "Skills" that lets users save Gemini prompts as reusable one-click workflows they can run across multiple tabs. The feature also includes preset Skills from Google. It's launching first for Chrome desktop users set to US English. The Verge reports: Once you have access to the feature, it can be managed by typing a forward slash ( / ) in Gemini and clicking the compass icon. AI prompts can be saved as Skills directly from your Gemini chat history on desktop, where they'll then be available to reuse on any other desktop devices that are signed into the same Google account on Chrome. The aim is to spare Chrome users from having to manually retype frequently used Gemini prompts or having to copy and paste them over from a saved list. Some of the Skills made by early testers include commands for calculating the nutritional information of online recipes and creating a side-by-side comparison of product specifications while shopping across multiple tabs, according to Google. The company is also launching a library of preset Skills that you can save and use instead of making your own. These ready-to-use Skills can also be customized to better suit your needs, providing a starting point without requiring you to create your own from scratch.

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A Chicago concert superfan Aadam Jacobs who has recorded more than 10,000 shows since the 1980s is working with Internet Archive volunteers to digitize the collection before the cassettes deteriorate. "So far, about 2,500 of these tapes have been posted on the Internet Archive, including some rare gems like a Nirvana performance from 1989," reports TechCrunch. From the report: For many of these recordings, Jacobs was using pretty mediocre equipment, but the volunteer audio engineers working with the Internet Archive have made these tapes sound great. One volunteer, Brian Emerick, drives to Jacobs' house once a month to pick up more boxes of tapes -- he has to use anachronistic cassette decks to play the tapes, which get converted into digital files. From there, other volunteers clean up, organize, and label the recordings, even tracking down song names from forgotten punk bands. The archive is available here.

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UK Prime Minister Keir Starmer said social media platforms should remove addictive infinite-scroll features for young users as Britain considers new child-safety measures. "We're consulting on whether there should be a ban for under 16s," Starmer told BBC Radio. "But I think equally important, the addictive scrolling mechanisms are really problematic to my mind. They need to go." Reuters reports: Britain, like other countries, is considering restricting access to social media for children and it is testing bans, curfews and app time limits to see how they impact sleep, family life and schoolwork. Social media companies had designed algorithms that were intended to encourage addictive behavior, and parents were asking the government to intervene, Starmer said. [...] More than 45,000 people had already responded to its consultation on children's online safety, the UK government said, adding that there was still time to contribute before a deadline of May 26. "We want to hear from mums and dads who are worried about the amount of time their children spend online and what they are viewing," Technology Secretary Liz Kendall said on Monday. "We want to hear from teenagers who know better than anyone what it is like to grow up in the age of social media. And we want to hear from families about their views on curfews, AI chatbots and addictive features."

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An anonymous reader quotes a report from Bloomberg: Alphabet's Google is facing billions of dollars in potential damage claims as part of mass arbitration tied to the company's online search and advertising technology businesses, which courts have ruled were illegal monopolies. Advertisers are banding together to seek payouts through mass arbitration proceedings. While many companies that displayed ads purchased through Google -- including USA Today Co. and Advance Publications -- have sued for damages since the rulings in 2024, advertiser contracts with the search giant require mandatory arbitration over legal disputes. In arbitration, legal disputes are handled by a mediator, a process that tends to favor companies in individual claims. Mass arbitration -- where 25 or more claims against the same company are pooled together -- have become more common and provide a greater likelihood of settlement awards for claimants. Ashley Keller, a Chicago lawyer whose firm has handled mass arbitrations against DoorDash, Postmates and TurboTax-maker Intuit, said he's already signed up a "significant number" of advertisers to participate in claims against Google. The first of those are expected to be filed this week. "Two federal judges have already adjudicated Google to be a monopolist," Keller said in an interview with Bloomberg. "It seems sensible to seek redress." Keller, who is also representing Texas and other states in a lawsuit against Google for monopolization of advertising technology, estimates potential claims for online search and display ads could reach $218 billion or more, based on calculations from an economist his firm has hired. Similar mass arbitrations have lasted 12 to 24 months between the filing of claims and resolution, he said. "Given the nature of these matters, we cannot estimate a possible loss," Google said in a recent corporate filing. "We believe we have strong arguments against these open claims and will defend ourselves vigorously."

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Researchers at the University of Southern California say they've developed a memristor memory device that continued operating at 700 degrees Celsius. "And crucially, 700 degrees was not the limit, it was simply as hot as their testing equipment could go," adds ScienceAlert. "The device showed no signs of failing." From the report: The device is called a memristor and it's a nanoscale component that can both store information and perform computing operations. Think of it as a tiny sandwich with two electrode layers on the outside and a thin ceramic filling in the middle. The team built theirs from tungsten, the metal with the highest melting point of any element, combined with a ceramic called hafnium oxide, and with a layer of graphene at the bottom. Each material can withstand enormous heat. Together, they turned out to be extraordinary. What makes graphene the key ingredient is the way it interacts with tungsten at the atomic level. In a conventional device, heat causes metal atoms to drift slowly through the ceramic layer until they bridge the two electrodes, short circuiting everything and leaving the device permanently broken. Graphene stops that process dead. Its surface chemistry with tungsten is ... almost like oil and water. Tungsten atoms that drift toward the graphene find they simply cannot take hold, no anchor, no short circuit, no failure. The team used advanced electron microscopy and quantum level computer simulations to understand exactly why, turning a single lucky result into a repeatable principle. The findings have been published in the journal Science.

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J. Allen Hynek started as an Air Force consultant brought in to help explain away early UFO reports, but over time he grew frustrated with what he saw as the government's effort to minimize unexplained cases rather than seriously investigate them. Longtime Slashdot reader schwit1 shares an article from Popular Mechanics, in collaboration with Biography.com, that argues Hynek's shift from skeptic to advocate helped shape modern ufology, and that the Air Force's attempts to control the narrative may have deepened the public distrust and conspiracy thinking that followed. From the report: Do you think the U.S. government is hiding, and possibly reverse-engineering, extraterrestrial technology? Think again. Or better yet, don't think about it at all. Nothing to see here. That's the underlying message of a report released in 2024 by the Department of Defense. The 63-page "Report on the Historical Record of U.S. Government Involvement with Unidentified Anomalous Phenomena (UAP) " concludes that the DoD's All-Domain Anomaly Resolution Office (AARO) "found no evidence that any [U.S. Government] investigation, academic-sponsored research, or official review panel has confirmed that any sighting of a UAP represented extraterrestrial technology." The AARO, as The Guardian summarizes, is "a government office established in 2022 to detect and, as necessary, mitigate threats including 'anomalous, unidentified space, airborne, submerged and transmedium objects.'" This report came on the heels of, and in contradiction to, what was arguably the most high-profile hearing on UAPs -- formerly known as unidentified flying objects, or UFOs -- in decades: the August 2023 testimony of "whistleblower" Dave Grusch. [...] The 2024 AARO report stated that during the time Hynek was working with Project Blue Book [the U.S. Air Force's best-known UFO investigation program], "about 75 percent of Americans trusted the [US government] 'to do the right thing almost always or most of the time.'" But, the report noted, since 2007, that number has never risen above 30 percent. "This lack of trust probably has contributed to the belief held by some subset of the U.S. population that the USG has not been truthful regarding knowledge of extraterrestrial craft." Ultimately, the Air Force's efforts to stifle Hynek -- pressuring him to offer the public standard responses to questions he wasn't even allowed to ask -- appears to have backfired. Ironically, the Air Force's attempts to quiet suspicions only fueled them, leading to more conspiracy theories and distrust. People came to believe that the government was hiding the truth, contrary to Hynek's actual revelation: that, in reality, the people at the top may not care much about finding the answers after all.

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BrianFagioli shares a report from NERDS.xyz: For years pop culture has treated April 25 as the "perfect date," thanks to the famous Miss Congeniality line about needing only a light jacket. But new analysis from WeatherBug suggests that idea does not actually hold up when you look at the numbers. After reviewing U.S. weather data from 2018 through today, the company concluded that October 8 delivers the most reliable combination of comfortable temperatures and low rainfall nationwide. According to the analysis, the average conditions on that day land around 66F with just 0.0573 inches of precipitation. The study used population weighted weather data drawn from roughly 20 million daily WeatherBug users across the United States. When the company compared all days of the year, April 25 ranked only 80th, averaging about 60F and roughly 0.1297 inches of rain. The broader dataset also shows July dominating the hottest days of the year while January owns the coldest, with January 20 averaging just 33F nationally. While no single date guarantees perfect weather everywhere in a country as large as the U.S., the numbers suggest early October may quietly offer one of the most reliable windows for comfortable outdoor conditions.

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An anonymous reader quotes a report from TechCrunch: AI experts and the public's opinion on the technology are increasingly diverging, according to Stanford University's annual report on the AI industry, which was released Monday. In particular, the report noted a growing trend of anxiety around AI and, in the U.S., concerns about how the technology will impact key societal areas, such as jobs, medical care, and the economy. [...] Stanford's report provides more insight into where all this negativity is coming from, as it summarizes data around public sentiment of AI across various sources. For instance, it pointed to a report from Pew Research published last month, which noted that only 10% of Americans said they were more excited than concerned about the increased use of AI in daily life. Meanwhile, 56% of AI experts said they believed AI would have a positive impact on the U.S. over the next 20 years. Expert opinion and public sentiment also greatly diverged in particular areas where AI could have a societal impact. Indeed, 84% of experts, the report authors noted, said that AI would have a largely positive impact on medical care over the next 20 years, but only 44% of the U.S. general public said the same. Plus, a majority (73%) of experts felt positive about AI's impact on how people do their jobs, compared with just 23% of the public. And 69% of experts felt that AI would have a positive impact on the economy. Given the supposed AI-fueled layoffs and disruptions to the workplace, it's not surprising that only 21% of the public felt similarly. Other data from Pew Research, cited by the report, noted that AI experts were less pessimistic on AI's impact on the job market, while nearly two-thirds of Americans (or 64%) said they think AI will lead to fewer jobs over the next 20 years. The U.S. also reported the lowest trust in its government to regulate AI responsibly, compared with other nations, at 31%. Singapore ranked highest at 81%, per data pulled from Ipsos found in Stanford's report. Another source looked at regulation concerns on a state-by-state level and concluded that, nationwide, 41% of respondents said federal AI regulation will not go far enough, while only 27% said it would go "too far." Despite the fears and concerns, AI did get one accolade: Globally, those who feel like AI products and services offer more benefits than drawbacks slightly rose from 55% in 2024 to 59% in 2025. But at the same time, those respondents who said that AI makes them "nervous" grew from 50% to 52% during the same period, per data cited by the report's authors.

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Will some programmers become "AI babysitters"? asks long-time Slashdot readertheodp. They share some thoughts from a founding member of Code.org and former Director of Education at Google: "AI may allow anyone to generate code, but only a computer scientist can maintain a system," explained Google.org Global Head Maggie Johnson in a LinkedIn post. So "As AI-generated code becomes more accurate and ubiquitous, the role of the computer scientist shifts from author to technical auditor or expert. "While large language models can generate functional code in milliseconds, they lack the contextual judgment and specialized knowledge to ensure that the output is safe, efficient, and integrates correctly within a larger system without a person's oversight. [...] The human-in-the-loop must possess the technical depth to recognize when a piece of code is sub-optimal or dangerous in a production environment. [...] We need computer scientists to perform forensics, tracing the logic of an AI-generated module to identify logical fallacies or security loopholes. Modern CS education should prepare students to verify and secure these black-box outputs." The NY Times reports that companies are already struggling to find engineers to review the explosion of AI-written code.

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Amazon CEO Andy Jassy says the company may eventually sell its Trainium AI chips directly to outside customers, not just through AWS, which would put Amazon in more direct competition with Nvidia. "There's so much demand for our chips that it's quite possible we'll sell racks of them to third parties in the future," Jassy wrote in his annual shareholder letter Thursday. He also revealed the company's chip business is already running at more than $20 billion annually, with demand so strong that current and even future generations are largely spoken for. Quartz reports: Access to Amazon's chips is currently limited to Amazon Web Services, with customers paying for cloud-based usage rather than owning any physical hardware. Selling to AWS and external customers alike, as standalone chipmakers do, would put annual revenue at around $50 billion, up from the $20 billion the company estimates for the year, Jassy said. The $20 billion figure spans three product lines: Trainium, the AI accelerator chip; Graviton, a general-purpose processor; and Nitro, a chip that helps run Amazon's EC2 server instances. All three are growing at triple-digit rates year over year, Jassy claimed in his letter. Jassy said demand for Trainium has outpaced supply at each generation. Trainium2 is essentially unavailable, with its entire allocated capacity spoken for. Trainium3 started reaching customers in early 2026, and reservations have filled nearly all available supply. Even Trainium4 -- which is not expected to reach wide release for another year and a half -- has substantial pre-orders committed. Jassy argued that a full-scale Trainium rollout could shave tens of billions off annual capital costs while meaningfully widening profit margin.

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OpenAI is reportedly preparing a new cybersecurity product for a small group of partners, out of concern that a broader rollout could wreak havoc if it were released more widely. If that move sounds familiar, it's because Anthropic took a similar limited-release approach with its Mythos model and Project Glasswing initiative. Axios reports: OpenAI introduced its "Trusted Access for Cyber" pilot program in February after rolling out GPT-5.3-Codex, the company's most cyber-capable reasoning model. Organizations in the invite-only program are given access to "even more cyber capable or permissive models to accelerate legitimate defensive work," according to a blog post. At the time, OpenAI committed $10 million in API credits to participants. [...] Restricting the rollout of a new frontier model makes "more sense" if companies are concerned about models' ability to write new exploits -- rather than about their ability to find bugs in the first place, Stanislav Fort, CEO of security firm Aisle, told Axios. Staggering the release of new AI models looks a lot like how cybersecurity vendors currently handle the disclosure of security flaws in software, Lee added. "It's the same debate we've had for decades around responsible vulnerability disclosure," Lee said.

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An anonymous reader quotes a report from CNN: A hacker has allegedly stolen a massive trove of sensitive data -- including highly classified defense documents and missile schematics -- from a state-run Chinese supercomputer in what could potentially constitute the largest known heist of data from China. The dataset, which allegedly contains more than 10 petabytes of sensitive information, is believed by experts to have been obtained from the National Supercomputing Center (NSCC) in Tianjin -- a centralized hub that provides infrastructure services for more than 6,000 clients across China, including advanced science and defense agencies. Cyber experts who have spoken to the alleged hacker and reviewed samples of the stolen data they posted online say they appeared to gain entry to the massive computer with comparative ease and were able to siphon out huge amounts of data over the course of multiple months without being detected. An account calling itself FlamingChina posted a sample of the alleged dataset on an anonymous Telegram channel on February 6, claiming it contained "research across various fields including aerospace engineering, military research, bioinformatics, fusion simulation and more." The group alleges the information is linked to "top organizations" including the Aviation Industry Corporation of China, the Commercial Aircraft Corporation of China, and the National University of Defense Technology. Cyber security experts who have reviewed the data say the group is offering a limited preview of the alleged dataset, for thousands of dollars, with full access priced at hundreds of thousands of dollars. Payment was requested in cryptocurrency. CNN cannot verify the origins of the alleged dataset and the claims made by FlamingChina, but spoke with multiple experts whose initial assessment of the leak indicated it was genuine. The alleged sample data appeared to include documents marked "secret" in Chinese, along with technical files, animated simulations and renderings of defense equipment including bombs and missiles.

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After nearly 20 years on the platform, The Electronic Frontier Foundation (EFF) says it is leaving X. "This isn't a decision we made lightly, but it might be overdue," the digital rights group said. "The math hasn't worked out for a while now." From the report: We posted to Twitter (now known as X) five to ten times a day in 2018. Those tweets garnered somewhere between 50 and 100 million impressions per month. By 2024, our 2,500 X posts generated around 2 million impressions each month. Last year, our 1,500 posts earned roughly 13 million impressions for the entire year. To put it bluntly, an X post today receives less than 3% of the views a single tweet delivered seven years ago. [...] When you go online, your rights should go with you. X is no longer where the fight is happening. The platform Musk took over was imperfect but impactful. What exists today is something else: diminished, and increasingly de minimis. EFF takes on big fights, and we win. We do that by putting our time, skills, and our members' support where they will effect the most change. Right now, that means Bluesky, Mastodon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and eff.org. We hope you follow us there and keep supporting the work we do. Our work protecting digital rights is needed more than ever before, and we're here to help you take back control.

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Waymo is launching a pilot with cities and Google's Waze to share pothole data collected by its robotaxis, giving local transportation departments a new way to find and fix road damage more quickly. "We realized, hey, once we're at scale, we can actually share this data with cities, which is something that they've asked for and something that we collect at scale," said Arielle Fleisher, Waymo's policy development and research manager. "And so we figured out a way to make that happen." The Verge reports: Waymo uses its perception hardware, including cameras and radar, as well as accelerometers and the vehicle's physical feedback system, to log every pothole its vehicles encounter. These sensors detect physical changes to the road's surface, such as tilt and movement when the vehicle encounters irregularities. Originally, Waymo knew it needed the ability to detect potholes so it could ensure that its vehicles slowed down to avoid damage or injury to the passenger. Later, the company realized this could be invaluable data for cities, too. Under the new pilot program, that data will now be made available to cities' departments of transportation through a free-to-use Waze for Cities platform, which provides access to real-time, user-generated traffic data that officials can then use to make important decisions -- such as pothole repair. The platform also allows for Waze users to validate pothole locations through their own observations, decreasing the chances that city officials will be led astray by false positives. Currently, many cities rely on a patchwork of non-emergency 311 reports and manual inspections to address their pothole problems. Waymo developed this pilot program after collecting years of feedback from city officials about the state of their highways and surface streets. The company is launching the new pilot in the San Francisco Bay Area, as well as Los Angeles, Phoenix, Austin, and Atlanta, where Waymo says it has already helped the city identify approximately 500 potholes. Fleisher said that Waymo would be open to expanding the project to other street maladies based on further feedback from officials. The company is eager to learn what other types of street condition or safety data might be valuable, she said. "We want to be responsive to cities," Fleisher said. "They are interested in safer streets and potholes are really a tough challenge for cities. So we really wanted to meet that need as part of our desire to be a good partner and to ultimately advance our goal for safer streets."

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An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers. The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now. [...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian. AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.

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BrianFagioli writes: Little Snitch, the well known macOS tool that shows which applications are connecting to the internet, is now being developed for Linux. The developer says the project started after experimenting with Linux and realizing how strange it felt not knowing what connections the system was making. Existing tools like OpenSnitch and various command line utilities exist, but none provided the same simple experience of seeing which process is connecting where and blocking it with a click. The Linux version uses eBPF for kernel level traffic interception, with core components written in Rust and a web based interface that can even monitor remote Linux servers. During testing on Ubuntu, the developer noticed the system was relatively quiet on the network. Over the course of a week, only nine system processes made internet connections. By comparison, macOS reportedly showed more than one hundred processes communicating externally. Applications behave similarly across platforms though. Launching Firefox immediately triggered telemetry and advertising related connections, while LibreOffice made no network connections at all during testing. The early release is meant primarily as a transparency tool to show what software is doing on the network rather than a hardened security firewall.

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An anonymous reader quotes a report from Reuters: A federal appeals court ruled on Monday that New Jersey gaming regulators cannot prevent Kalshi from allowing people in the state to use its prediction market to place financial bets on the outcome of sporting events. A three-judge panel of the Philadelphia-based 3rd U.S. Circuit Court of Appeals ruled 2-1 (PDF) in finding that the U.S. Commodity Futures Trading Commission has exclusive jurisdiction over the sports-related event contracts that Kalshi allows people to trade on its platform. The ruling marked the first time a federal appeals court has ruled on what has become the central issue in an escalating battle over the ability of state gaming regulators to police the activity of prediction market operators. Kalshi and companies like it allow users to place trades and profit from predictions on events such as sports and elections. States argue that firms like Kalshi are operating without required state licenses, in violation of gaming laws, including bans on wagers by those under 21. Those states include New Jersey, which last year sent Kalshi a cease-and-desist letter stating that its listing of sports-related event contracts on its platform violated state gambling laws that prohibit betting on collegiate sports. Kalshi sued the state, arguing its event contracts qualify as "swaps," a type of derivative contract, that under the Commodity Exchange Act can only be regulated by the CFTC, which had granted the company a license to operate a designated contract market (DCM). A lower-court judge had sided with New York-based Kalshi and issued a preliminary injunction, prompting New Jersey to appeal. But a majority of the judges on the 3rd Circuit panel concluded the Commodity Exchange Act likely preempted state law. "Kalshi's sports-related event contracts are swaps traded on a CFTC-licensed DCM, so the CFTC has exclusive jurisdiction," U.S. Circuit Judge David Porter wrote. The ruling was in line with the position advanced in other litigation by the CFTC under President Donald Trump's administration. The regulator last week sued Arizona, Connecticut and Illinois to prevent them from pursuing what it called unlawful efforts to regulate prediction markets.

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OpenAI is proposing (PDF) sweeping policy changes to help manage the societal disruption caused by advanced AI, including taxes on automated labor, a public wealth fund, and experiments with a four-day workweek. The company said the policy document offered a series of "initial ideas" to address the risk of "jobs and entire industries being disrupted" by the adoption of AI tools. Business Insider reports: Among the core policy suggestions is a public wealth fund, which would see lawmakers and AI companies work together to invest in long-term assets linked to the AI boom, with returns distributed directly to citizens. Another is that the government should encourage and incentivize employers to experiment with four-day workweeks with no loss in pay and offer "benefits bonuses" tied to productivity gains from new AI tools. The policy document also suggests lawmakers modernize the tax system and shift the tax base to corporate income and capital gains, rather than relying on labor income and payroll taxes that could be hit by a wave of AI-powered job losses. It also recommends taxes related to automated labor. OpenAI also called for the accelerated expansion of the US's electricity grid, which is already feeling the strain from a wave of data center construction and energy demand for training ever more powerful AI models.

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