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Custom ASIC biz now running at a $1B annual pace for Intel
Google will continue to work with Intel, buying SmartNICs for its public cloud rather than blazing its own trail as AWS has done with its Nitro NICs.…
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.
Read more of this story at Slashdot.
Cops bust latest scam, return $12m to bilked victims
US, UK, and Canadian law enforcement Thursday said that they disrupted a $45 million global cryptocurrency scam, freezing $12 million in stolen funds and identifying more than 20,000 cryptocurrency wallet addresses linked to fraud victims across 30 countries.…
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.
Read more of this story at Slashdot.
C-suite forced to take sandwiches into work, cycle home
It's going to be hard holding back our tears. The C-suite lieutenants at Amazon didn’t exactly get the bumper payday that many El Reg readers would expect, particularly compared with prior years.…
Your agent will be pushed, filed, stamped, indexed, briefed, debriefed, and numbered
AI agents should not be secret agents, at least in corporate environments. But when companies deploy software automations, they don't always have visibility into what their roboscripts are actually doing.…
Possible link to Mr. Raccoon's claimed Adobe break-in
A new extortion crew has targeted “several dozen high-value” corporations through phishing and helpdesk social-engineering, according to Google.…
FTC lawsuit lingers, while encouraging signs point to Iowa bill succeeding too
Agriculture manufacturing giant John Deere has agreed to a proposed $99 million settlement following a class action lawsuit in Illinois.…
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."
Read more of this story at Slashdot.
ACM salutes Databricks co-founder Matei Zaharia with $250K prize
The Association for Computing Machinery (ACM) has awarded its annual Prize in Computing to Matei Zaharia for his work developing open source data and analytics software, including the widely used Apache Spark analytics engine.…
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.
Read more of this story at Slashdot.
Arm support is on the agenda, too, because AI is going to run on everything
Exclusive Nutanix plans to support KubeVirt to allow its customers to run both containers and VMs on the edge.…
UK and US customers stuck waiting after fleet management SaaS vendor took affected environments offline
A cybersecurity incident has knocked FleetWave into a "major outage" across the UK and US after Chevin Fleet Solutions pulled parts of its SaaS platform offline and left customers scrambling for answers.…
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.
Read more of this story at Slashdot.
Sam Altman's datacenter dreams hit a wall of watts and wonkery, cooling Britain's AI ambitions
OpenAI is pausing its planned Stargate datacenter project in the UK just months after announcing it, citing the regulatory environment and cost of energy as reasons for putting it on hold.…
Malicious PDFs abuse legit features to harvest system data and decide which victims get a 2nd-stage payload
Hackers have been quietly exploiting what appears to be a zero-day in Adobe Acrobat Reader for months, using booby-trapped PDFs to profile targets and decide who's worth fully compromising.…
No emails, no warnings, no humans – just bots, catch-22s, and a 60-day appeals queue
Microsoft says that it will work on how it communicates with developers after two leading open source figures were suddenly locked out of their accounts, leaving them unable to sign updates.…
Memory costs were already through the roof - now freight's spiking too, and budget systems face extinction
America's war with Iran is jacking up the pressure on computing markets already struggling with memory shortages and component cost inflation, meaning buyers should brace themselves for even higher prices this year.…
Wash your mouth out with digital soap
Apple Intelligence, the personal AI system integrated into newer Macs, iPhones, and other iThings, can be hijacked using prompt injection, forcing the model into producing an attacker-controlled result and putting millions of users at risk, researchers have shown.…
Departure may accelerate further AI-centric moves for programming tools
Julia Liuson, president of Microsoft's developer division (DevDiv), will resign at the end of June, though she will continue in an advisory role.…
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