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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A teardown video of LG's never-released Rollable phone helps explain why rollable phones never became a real product category: they were likely too expensive, fragile, and complicated to manufacture at scale. "The complexity of the internals would have made the Rollable extremely expensive to manufacture, and it would have demanded a high price tag," reports Ars Technica. "Durability is also a big concern. There's just a lot going on inside this phone, with multiple motors, springy arms, tracks, and a screen that has to loop around the back. [...] It seems unlikely the LG Rollable could have survived daily use for multiple years." From the report: The LG Rollable is just one of several rollable concept phones that appeared throughout the early 2020s. Flexible OLED screens had finally become affordable, leading to foldable phones like the Samsung Galaxy Z Fold. Although, "affordable" is relative here. Foldables were and still are very expensive devices. Based on what we can see of the complex inner workings of the LG Rollable, these devices may have commanded even higher prices. Noted YouTube phone destroyer JerryRigEverything managed to snag a working prototype LG Rollable. It may even be the unit LG demoed at CES 2021. The device looks like a regular phone at first glance, but a quick swipe activates the motor, which unfurls additional screen real estate from around the back. This makes the viewable area about 40 percent larger without the added thickness of a foldable. The device expands with the aid of two tiny motors, which are attached via straight teeth to an internal track. The screen assembly has zipper-like teeth that keep it locked into the frame as it moves. The motors make a surprising amount of noise when operating, so LG designed the phone to play a musical chime to hide the sound. While the motor does the heavy lifting, the phone also has a lattice of articulating spring-loaded arms inside that keep the OLED panel even as the frame slides side to side. The battery and motherboard sit in a tray that allows the back of the phone to expand as the OLED rolls into view. This is a prototype phone, featuring a chunky frame and visible screws. That helped Zack Nelson from JerryRigEverything successfully disassemble and reassemble the phone. So this little bit of mobile history was not destroyed, and the teardown gives us a good look at how LG was hoping to attract new customers before calling it quits.

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The Associated Press is offering buyouts to U.S. journalists "as part of an acceleration away from the focus on newspaper journalism that sustained the company since the mid-1800s," the not-for-profit outlet reported today. AP says it is making the move from a position of strength, responding to shrinking newspaper revenue and growing demand from digital, broadcast, and tech clients. "The AP is not in trouble," said Julie Pace, executive editor and senior vice president of the AP. "We're making these changes from a position of strength but we're doing so now to recognize our changing customer base." From the report: The news organization is becoming more focused on visual journalism and developing new revenue sources, particularly through companies investing in artificial intelligence, to cope with the economic collapse of many legacy news outlets. Once the lion's share of AP's revenue, big newspaper companies now account for 10% of its income. "We're not a newspaper company and we haven't been for quite some time," [said Pace]. Despite changes -- the company has doubled the number of video journalists it employs in the United States since 2022 -- remnants of a staffing structure built largely to provide stories to newspapers and broadcasters in individual states have remained. That has its roots well back in American history; the AP was started in the mid-19th century by New York newspapers looking to share the costs of reporting outside their immediate territory. The number of AP journalists who will lose jobs is murky, in part intentionally. The AP does not say how many journalists it employs, though it has a large international presence as well as its U.S. staff. Pace said the AP's goal is to reduce its global staff by less than 5%. The Marketing and Media Alliance estimated the AP had 3,700 staffers, but it was not clear when that estimate was made. Since buyouts are being offered now to only U.S. journalists, it stands to reason that the cut among that workforce will be more than 5%. Whether there are layoffs depends on how many people take the offer, Pace said.

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Artemis II has broken the Apollo 13 record for the farthest distance humans have ever traveled from Earth. NASA reports: The Artemis II crew of NASA astronauts Reid Wiseman, Victor Glover, and Christina Koch, along with CSA (Canadian Space Agency) astronaut Jeremy Hansen have set the record for the farthest distance from Earth traveled by a human mission, surpassing the Apollo 13 record of 248,655 miles set in 1970. NASA Flight Director Brandon Lloyd, Capsule Communicator Amy Dill, and Command and Handling Data Officer Brandon Borter also marked a lighthearted milestone today by emailing the crew what is now assumed to be the longest person-to-person message ever sent in human history. After breaking the record for human spaceflight, crew also took a moment to provisionally name a couple of craters on the Moon, noting they were able to see them with their naked eye. Just northwest of Orientale basin highlighted above is a crater they would like to name Integrity after their spacecraft and this historic mission. Just northeast of Integrity, on the near and far side boundary, and sometimes visible from Earth, the crew suggested Carroll crater in honor of Reid Wiseman's late wife, Carroll Taylor Wiseman. After this mission is complete, the crater name proposals will be formally submitted to the International Astronomical Union, the organization that governs the naming of celestial bodies and their surface features. On April 1, NASA successfully launched humanity's first crewed trip around the Moon in more than 50 years. A couple of days into the mission, attention turned to a more mundane problem when reports said the astronauts had access to "two Microsoft Outlooks" and neither was working properly. By April 4, the crew had passed 100,000 miles from Earth as they continued deeper into space, and by April 6, they had entered the Moon's gravitational pull and caught their first views of the lunar far side.

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Samsung says it will discontinue its Samsung Messages app in July 2026 and is directing Galaxy users to switch to Google Messages instead. Android Central reports: [...] Samsung says users can switch to Google Messages as their default app to maintain a consistent Android messaging experience. The fine print also states that once the app is discontinued, "sending messages via Samsung Messages on your phone will no longer be possible, except for emergency service numbers or emergency contacts defined in your device." Samsung also notes that users will no longer be able to download the Messages app from the Galaxy Store once it is discontinued. Newer devices, including the Galaxy S26 series, already do not support installing Samsung Messages. It is, however, worth noting that users on Android 11 or older are not affected by this change and will still be able to use the Samsung Messages app on their devices. [...] Samsung also warns that on some devices released before 2022, switching apps may temporarily disrupt ongoing RCS conversations. However, chats should resume once both users move to Google Messages. The company also highlights some of the benefits of the switch, including improved security, RCS support, AI features, and better multi-device connectivity.

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An anonymous reader quotes a report from KrebsOnSecurity: An elusive hacker who went by the handle "UNKN" and ran the early Russian ransomware groups GandCrab and REvil now has a name and a face. Authorities in Germany say 31-year-old Russian Daniil Maksimovich Shchukin headed both cybercrime gangs and helped carry out at least 130 acts of computer sabotage and extortion against victims across the country between 2019 and 2021. Shchukin was named as UNKN (a.k.a. UNKNOWN) in an advisory published by the German Federal Criminal Police (the "Bundeskriminalamt" or BKA for short). The BKA said Shchukin and another Russian -- 43-year-old Anatoly Sergeevitsch Kravchuk -- extorted nearly $2 million euros across two dozen cyberattacks that caused more than 35 million euros in total economic damage. Germany's BKA said Shchukin acted as the head of one of the largest worldwide operating ransomware groups GandCrab and REvil, which pioneered the practice of double extortion -- charging victims once for a key needed to unlock hacked systems, and a separate payment in exchange for a promise not to publish stolen data. Shchukin's name appeared in a Feb. 2023 filing (PDF) from the U.S. Justice Department seeking the seizure of various cryptocurrency accounts associated with proceeds from the REvil ransomware gang's activities. The government said the digital wallet tied to Shchukin contained more than $317,000 in ill-gotten cryptocurrency. The BKA believes Shchukin resides in Krasnodar, Russia, where he is from. "Based on the investigations so far, it is assumed that the wanted person is abroad, presumably in Russia," the BKA advised. "Travel behavior cannot be ruled out."

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More Americans have moved into upper-middle-class incomes over the past several decades (source paywalled; alternative source), with new research suggesting that group has grown sharply while the lower and core middle class have shrunk. The Wall Street Journal reports: In 2024, about 31% of Americans were part of the upper middle class, up from about 10% in 1979, according to a report released this year by the right-leaning American Enterprise Institute. There is no single, standard definition of middle class, or upper middle class, and what counts as a hefty income in one city can feel paltry in another. The AEI report, by Stephen Rose and Scott Winship, classified a family of three earning $133,000 to $400,000 in 2024 dollars as upper middle class. Households earning more were categorized as rich. The analysis looked just at incomes, not assets such as stocks or real estate. [...] The gains span generations. Many baby boomers, born to parents who grew up in the Great Depression, are living well on their savings, aided by steady Social Security checks and decades of stock-portfolio gains that they can now tap. Millennials, who everyone worried would be permanently set back by the 2008-09 financial crisis, are earning solid incomes, buying homes and surpassing their parents. Many families are surprised to find that they have moved into this new economic tier, and see themselves as comfortable, not rich. They tend to have jobs that are white collar but not flashy -- think accountants, not tech founders. This doesn't mean that all Americans are climbing the ladder. Entrenched inflation and higher prices on major necessities have pushed many families closer to the financial edge, or locked them out of homeownership. Those costs weigh on high-earning families too, and for many are the reason they don't feel wealthy. The AEI report divided families into five different groups by income. Three groups were in the middle: lower middle class, core middle class and upper middle class. The authors found that more families now fall into the two highest-earning groups -- upper middle class and rich -- and fewer fall into the three lower-earning categories.

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Halter, a New Zealand agtech startup now valued at $2 billion, has raised $220 million to expand its AI-powered cattle management system. "Halter is now valued at $2 billion following the Series E, which was led by Peter Thiel's Founders Fund with participation from Blackbird, DCVC, Bond, Bessemer, and several others," reports Inc. From the report: Halter plans to use the funding to expand its existing footprint in the U.S., Australia, and New Zealand, as well as to grow into new markets such as Ireland, the U.K., and parts of North and South America. The round is one of the biggest to-date in the industry, and comes amid growing adoption of the technology among U.S. ranchers. According to Halter, U.S. ranchers have erected some 60,000 miles of virtual fencing since the company's launch in 2024. Halter's technology works through a system of solar-powered collars and in-pasture towers that collect data -- some 6,000 data points per collar per minute -- from grazing cattle and feed it into a cloud-based platform and app for farmers. The collars are ergonomically designed to be comfortable for the cattle wearing them, and leverage AI to play audio cues or vibrate when it is time to move to a different grazing location or if they step outside of a predetermined zone. The collars can also deliver an electric pulse if an animal does not respond. Halter's app also creates a digital twin of a ranch, which essentially means a digital replica that leverages real-time data to accurately reflect conditions. Farmers can consult the app to check on their herd, or fence, and move cattle with just a few clicks. Halter also has a proprietary algorithm that it calls a "Cowgorithm" trained on seven billion hours of animal behavior. Altogether, this technology is meant to make ranchers' lives easier when herding cattle, help them save money on building physical fencing, and provide insights about pasture management to improve soil health and pasture productivity. Halter says some 2,000 farmers and ranchers currently use its tech worldwide.

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