According to The Intercept, the IRS is set to purchase an Nvidia SuperPod AI supercomputer to enhance its machine learning capabilities for tasks like fraud detection and taxpayer behavior analysis. From the report: With Elon Musk's so-called Department of Government Efficiency installing itself at the IRS amid a broader push to replace federal bureaucracy with machine-learning software, the tax agency's computing center in Martinsburg, West Virginia, will soon be home to a state-of-the-art Nvidia SuperPod AI computing cluster. According to the previously unreported February 5 acquisition document, the setup will combine 31 separate Nvidia servers, each containing eight of the company's flagship Blackwell processors designed to train and operate artificial intelligence models that power tools like ChatGPT. The hardware has not yet been purchased and installed, nor is a price listed, but SuperPod systems reportedly start at $7 million. The setup described in the contract materials notes that it will include a substantial memory upgrade from Nvidia.

Though small compared to the massive AI-training data centers deployed by companies like OpenAI and Meta, the SuperPod is still a powerful and expensive setup using the most advanced technology offered by Nvidia, whose chips have facilitated the global machine-learning spree. While the hardware can be used in many ways, it's marketed as a turnkey means of creating and querying an AI model. Last year, the MITRE Corporation, a federally funded military R&D lab, acquired a $20 million SuperPod setup to train bespoke AI models for use by government agencies, touting the purchase as a "massive increase in computing power" for the United States.

How exactly the IRS will use its SuperPod is unclear. An agency spokesperson said the IRS had no information to share on the supercomputer purchase, including which presidential administration ordered it. A 2024 report by the Treasury Inspector General for Tax Administration identified 68 different AI-related projects underway at the IRS; the Nvidia cluster is not named among them, though many were redacted. But some clues can be gleaned from the purchase materials. "The IRS requires a robust and scalable infrastructure that can handle complex machine learning (ML) workloads," the document explains. "The Nvidia Super Pod is a critical component of this infrastructure, providing the necessary compute power, storage, and networking capabilities to support the development and deployment of large-scale ML models."

The document notes that the SuperPod will be run by the IRS Research, Applied Analytics, and Statistics division, or RAAS, which leads a variety of data-centric initiatives at the agency. While no specific uses are cited, it states that this division's Compliance Data Warehouse project, which is behind this SuperPod purchase, has previously used machine learning for automated fraud detection, identity theft prevention, and generally gaining a "deeper understanding of the mechanisms that drive taxpayer behavior."

Bruce66423 shares a report from The Guardian: Microscopic particles emitted from brake pads can be more toxic than those emitted in diesel vehicle exhaust, a study has found. This research shows that even with a move to electric vehicles, pollution from cars may not be able to be eradicated. The researchers found that a higher concentration of copper in some commonly used brake pads was associated with increased harmful effects on sensitive cells from people's lungs, as a result of particles being breathed in.

Exposure to pollution generated by cars, vans and lorries has been previously been linked to an increased risk of lung and heart disease. While past attention has mainly concentrated on exhaust emissions, particles are also released into the air from tyre, road and brake pad wear. These emissions are largely unregulated by legislation and the study found that these âoenon-exhaustâ pollution sources are now responsible for the majority of vehicle particulate matter emissions in the UK and parts of Europe, with brake dust the main contributor among them.

[...] The scientists examined the effects on lung health of particulate matter from four different types of brake pad with differing chemical compositions; low metallic, semi-metallic, non-asbestos organic and hybrid-ceramic. Results showed that of the four types of brake pads, non-asbestos organic pads were the most potent at inducing inflammation and other markers of toxicity, and were found to be more toxic to human lung cells than diesel exhaust particles. Ceramic pads were the second most toxic. Dr. Ian Mudway, senior lecturer at the school of public health at Imperial College London, cautioned that while the research on brake pad emissions appears sound, it is premature to conclude they are worse than diesel exhaust due to "uncontrolled variables" like brake disc types and particle composition.

Slashdot reader Bruce66423 also notes it "doesn't discuss the significance of regenerative breaking, which is a feature of at least some electric cars [that reduces brake pad wear by using the electric motor to slow down the vehicle and recover energy]."

The research has been published in the journal Particle and Fibre Technology.

New York City's Department of Transportation is offering delivery workers the opportunity to swap out uncertified e-bikes for safer UL-compliant models. "Millions of people rely on such workers for timely deliveries, yet the low wages and brutal conditions of the job have forced many riders to seek out low-cost electric bicycles to perform the work -- exactly the kind of e-bikes that are least likely to have received safety certifications," reports Electrek. From the report: The NYC DOT has already begun accepting applications for the new E-Bike Trade-In Program, which is open to delivery workers with non-compliant electric bicycles as well as the often-seen electric scooters/mopeds that don't really qualify as e-bikes, despite their ubiquitous use in the industry. Interestingly, the program even accepts gasoline-powered mopeds that are not able to be legally registered with the DMV, including those that lack VINs. In exchange for trading in a non-certified vehicle, the delivery worker will receive a new UL-certified electric bike with a spare UL-certified battery.

There are a few requirements for eligibility. The worker has to have earned at least US $1,500 by working in the food delivery industry last year in 2024, live in one of the five New York City boroughs, be at least 18 years old, and own/use one of the eligible devices for trade-in. The program is free to participate in with no additional cost for the delivery workers. However, the supply of free electric bicycles is described as "limited." Those interested need to submit an application before the window closes on March 10, 2025.

Meta unveiled on Friday Project Waterworth, a 50,000-kilometer subsea cable network that will be the world's longest such system. The multi-billion dollar project will connect the U.S., Brazil, India, South Africa, and other key regions. The system utilizes 24 fiber pairs and introduces what Meta describes as "first-of-its-kind routing" that maximizes cable placement in deep water at depths up to 7,000 meters.

The company developed new burial techniques for high-risk areas near coasts to protect against ship anchors and other hazards. A joint statement from President Trump and Prime Minister Modi confirmed India's role in maintaining and financing portions of the undersea cables in the Indian Ocean using "trusted vendors." According to telecom analysts Telegeography, Meta currently has ownership stakes in 16 subsea networks, including the 2Africa cable system that encircles the African continent. This new project would be Meta's first wholly owned global cable system.

An anonymous reader shares a report: Reddit is planning to introduce a paywall this year, CEO Steve Huffman said during a videotaped Ask Me Anything (AMA) session on Thursday. Huffman previously showed interest in potentially introducing a new type of subreddit with "exclusive content or private areas" that Reddit users would pay to access.

When asked this week about plans for some Redditors to create "content that only paid members can see," Huffman said: "It's a work in progress right now, so that one's coming... We're working on it as we speak." When asked about "new, key features that you plan to roll out for Reddit in 2025," Huffman responded, in part: "Paid subreddits, yes."

Arm will reportedly start making its own chips this year after signing Meta as a customer, according to the Financial Times (paywalled). TechCrunch reports: The chip is expected to be a CPU for servers in large data centers and can be customized for various customers. Arm will outsource its production. The first in-house Arm chip will be unveiled as early as this summer, the Financial Times also reported.

This is a notable change in strategy for the semiconductor company, which usually licenses its chip blueprints to companies like Apple and Nvidia. Making its own chips will turn some of its existing customers into competitors.

According to Bloomberg's Mark Gurman, Apple will restore TikTok to the U.S. App Store on Thursday (source paywalled; alternative source), following a letter from U.S. Attorney General Pam Bondi. From the report: Apple, along with Alphabet's Google, removed TikTok in the US to comply with a law passed last year. In a Jan. 20 executive order, Trump said he instructed the attorney general "not to take any action to enforce the act for a period of 75 days from today to allow my administration an opportunity to determine the appropriate course forward." Apple confirmed the app will return "Thursday evening." You can find the App Store listing for TikTok here.

Developing...

Reddit's recent earnings report revealed that AI licensing deals with Google and OpenAI account for about 10% of its $1.3 billion revenue, totaling approximately $130 million. With Google paying $60 million, OpenAI is estimated to be paying Reddit around $70 million annually for content licensing. Adweek reports: "It's a small part of our revenue -- I'll call it 10%. For a business of our size, that's material, because it's valuable revenue," [said the company's COO Jen Wong]. The social platform -- which on Wednesday reported a 71% year-over-year lift in fourth-quarter revenue -- has been "very thoughtful" about the AI developers it chooses to work with, Wong said. To date, the company has inked two content licensing deals: one with Google for a reported $60 million, and one with ChatGPT parent OpenAI.

Reddit has elected to work only with partners who can agree to "specific terms ... that are really important to us." These terms include user privacy protections and conditions regarding "how [Reddit is] represented," Wong said. While licensing agreements with AI firms offer a valuable business opportunity for Reddit, advertising remains the company's core revenue driver. Much of Reddit's $427.7 million Q4 revenues were generated by the ongoing expansion of its advertising business. And its ad revenue as a whole grew 60% YoY, underscoring the platform's growing appeal to brands. [...]

Helping to accelerate ad revenue growth is Reddit's rising traffic. While Reddit's Q4 user growth came in under Wall Street projections, causing shares to dip, its weekly active uniques grew 42% YoY to over 379 million visitors. Average revenue per unique visitor was $4.21 during the quarter, up 23% from the prior year. While Google is "nicely reinforcing" Reddit's growth in traffic, Wong said, she added that the site's logged-in users, which have grown 27% year-over-year, are "the bedrock of our business."

An anonymous reader quotes a report from KrebsOnSecurity: In mid-March 2024, KrebsOnSecurity revealed that the founder of the personal data removal service Onerep also founded dozens of people-search companies. Shortly after that investigation was published, Mozilla said it would stop bundling Onerep with the Firefox browser and wind down its partnership with the company. But nearly a year later, Mozilla is still promoting it to Firefox users. [Using OneRep is problematic because its founder, Dimitri Shelest, also created and maintained ownership (PDF) in multiple people-search and data broker services, including Nuwber, which contradicts OneRep's stated mission of protecting personal online security. Additionally, OneRep appears to have ties with Radaris, a people-search service known for ignoring or failing to honor opt-out requests, raising concerns about the true intentions and effectiveness of OneRep's data removal service.]

In October 2024, Mozilla published a statement saying the search for a different provider was taking longer than anticipated. "While we continue to evaluate vendors, finding a technically excellent and values-aligned partner takes time," Mozilla wrote. "While we continue this search, Onerep will remain the backend provider, ensuring that we can maintain uninterrupted services while we continue evaluating new potential partners that align more closely with Mozilla's values and user expectations. We are conducting thorough diligence to find the right vendor." Asked for an update, Mozilla said the search for a replacement partner continues.

"The work's ongoing but we haven't found the right alternative yet," Mozilla said in an emailed statement. "Our customers' data remains safe, and since the product provides a lot of value to our subscribers, we'll continue to offer it during this process." It's a win-win for Mozilla that they've received accolades for their principled response while continuing to partner with Onerep almost a year later. But if it takes so long to find a suitable replacement, what does that say about the personal data removal industry itself?

LibreOffice, the open-source office suite that began as StarOffice in 1985, has marked its 40th anniversary with new features that it says could transform how users interact with the software. At the FOSDEM 2025 conference, developers unveiled LibreOffice 25.2, which introduces browser-based functionality and real-time collaboration capabilities through a technology called conflict-free replicated data types.

A key development is ZetaOffice, a version built for the WebAssembly runtime that enables the full office suite to run inside web browsers across operating systems and CPU architectures. The project, which entered public beta last November, allows websites to embed LibreOffice applications with complete user interfaces for editing documents, spreadsheets and presentations.

While the browser-based version currently requires about a gigabyte of code and additional memory to run, developers at Allotropia are working to modularize the codebase for faster loading times. The software, released under the MIT license, can be controlled via JavaScript and operates without requiring an internet connection, unlike Google Docs or LibreOffice's existing Collabora Online version.

Longtime Slashdot reader BrendaEM writes: Command-line aside, Cinnamon is the most effective keeper of the Linux desktop flame -- by not abandoning desktop and laptop computers. Yes, there are other desktop GUIs, such as MATE, and the lightweight Xfce, which are valuable options when low overhead is important, such as in LinuxCNC. However, among the general public lies a great expanse of office workers who need a full-featured Linux desktop.

The programmers who work on GNOME and its family of supporting applications enrich many other desktops do their more than their share. These faithful developers deserve better user-interface leadership. GNOME has tried to steer itself into tablet waters, which is admirable, but GNOME 3.x diminished the desktop experience for both laptop and desktop users. For instance, the moment you design what should be a graphical user interface with words such as "Activities," you ask people to change horses midstream. That is not to say that the command line and GUI cannot coexist -- because they can, as they do in many CAD programs.

I remember a time when GNOME ruled the Linux desktop -- and I can remember when GNOME left those users behind. Perhaps in a future, GNOME could return to the Linux desktop and join forces with Cinnamon -- so that we may once again have the year of the Linux desktop.

New submitter jms00 writes: A years-long legal battle has quietly escalated into what could become the defining moment for the future of GPLv3, with implications that could reshape software freedom as we know it.

At issue is whether licensors have the power to impose 'further restrictions' on open-source software, potentially undermining the explicit rights granted to users and developers under AGPLv3, GPLv3, and LGPLv3.

The outcome of this case, now before the U.S. Court of Appeals for the Ninth Circuit, could set a dangerous precedent, limiting the ability to remove proprietary restrictions from copyleft-licensed software.

With little public attention on the case, the Software Freedom Conservancy (SFC) has stepped up as a key voice in defense of user rights, filing a critical amicus brief to challenge the lower court's ruling and protect the principles of software freedom.

Apple has released an official Apple TV app for Android phones and tablets that's now available in the Google Play Store. You can download it here. 9to5Google reports: The newest Apple app on Android has a bottom bar with Apple TV+, MLS (Major League Soccer), Downloads for offline viewing, and Search. [...] The video player takes after Apple TV on other platforms, with a portrait mode available. There are convenient shortcuts to activate picture-in-picture, which works inside the app (while browsing) and system-wide, and mute to bring up the system volume bar. Playback is smooth and more stable than other streaming services.

At launch, the Apple TV app lacks Casting support and there do not appear to be new episode notifications. If you're already signed into Apple Music, you have to log in again to Apple TV. Another notable aspect is support for Google Play Billing instead of requiring out-of-app sign-up on another device. This applies to both the Google TV app (and Apple Music) today.

OpenAI has canceled the release of o3 in favor of a "simplified" product lineup. CEO Sam Altman said in a post on X that, in the coming months, OpenAI will release a model called GPT-5 that "integrates a lot of [OpenAI's] technology," including o3. TechCrunch reports: The company originally said in December that it planned to launch o3 sometime early this year. Just a few weeks ago, Kevin Weil, OpenAI's chief product officer, said in an interview that o3 was on track for a "February-March" launch. "We want to do a better job of sharing our intended roadmap, and a much better job simplifying our product offerings," Altman wrote in the post. "We want AI to 'just work' for you; we realize how complicated our model and product offerings have gotten. We hate the model picker [in ChatGPT] as much as you do and want to return to magic unified intelligence."

Altman also announced that OpenAI plans to offer unlimited chat access to GPT-5 at the "standard intelligence setting," subject to "abuse thresholds," once the model is generally available. (Altman declined to provide more detail on what this setting -- and these abuse thresholds -- entail.) Subscribers to ChatGPT Plus will be able to run GPT-5 at a "higher level of intelligence," Altman said, while ChatGPT Pro subscribers will be able to run GPT-5 at an "even higher level of intelligence."

"These models will incorporate voice, canvas, search, deep research, and more," Altman said, referring to a range of features OpenAI has launched in ChatGPT over the past few months. "[A] top goal for us is to unify [our] models by creating systems that can use all our tools, know when to think for a long time or not, and generally be useful for a very wide range of tasks." Before GPT-5 launches, OpenAI plans to release its GPT-4.5 model, code-named "Orion," in the next several weeks, according to Altman's post on X. Altman says this will be the company's last "non-chain-of-thought model." Unlike o3 and OpenAI's other so-called reasoning models, non-chain-of-thought models tend to be less reliable in domains like math and physics.

Google will soon use machine learning to estimate the age of its users. From a report: In an update on Wednesday, Google said it's testing a machine learning model in the US to help determine whether someone is under 18, allowing it to "provide more age-appropriate experiences" across its platforms. The age estimation model will use existing data about users, including the sites they visit, what kinds of videos they watch on YouTube, and how long they've had an account to determine their age.

An anonymous reader shares a report: Google has fixed two vulnerabilities that, when chained together, could expose the email addresses of YouTube accounts, causing a massive privacy breach for those using the site anonymously.

The flaws were discovered by security researchers Brutecat (brutecat.com) and Nathan (schizo.org), who found that YouTube and Pixel Recorder APIs could be used to obtain user's Google Gaia IDs and convert them into their email addresses. The ability to convert a YouTube channel into an owner's email address is a significant privacy risk to content creators, whistleblowers, and activists relying on being anonymous online.

Former Google chief Eric Schmidt has warned that western countries need to focus on building open-source AI models or risk losing out to China in the global race to develop the cutting-edge technology. From a report: The warning comes after Chinese startup DeepSeek shocked the world last month with the launch of R1, its powerful-reasoning open large language model, which was built in a more efficient way than its US rivals such as OpenAI.

Schmidt, who has become a significant tech investor and philanthropist, said the majority of the top US LLMs are closed -- meaning not freely accessible to all -- which includes Google's Gemini, Anthropic's Claude and OpenAI's GPT-4, with the exception being Meta's Llama. "If we don't do something about that, China will ultimately become the open-source leader and the rest of the world will become closed-source," Schmidt told the Financial Times. The billionaire said a failure to invest in open-source technologies would prevent scientific discovery from happening in western universities, which might not be able to afford costly closed models.

Longtime Slashdot reader schwit1 shares a report from Popular Science: In 2021, NASCAR unveiled its Next Gen platform that included a number of rule changes from the previous iteration. Now fully symmetrical and using composite body panels instead of metal, the latest NASCAR vehicles are more like the street versions of the Chevrolet Camaro, the Ford Mustang, and the Toyota TRD Camry. Race car driving isn't an inexpensive sport, and one of the goals for the Next Gen platform was to reduce operating costs and create parity across the board. Technique Chassis, the sole chassis manufacturer for the NASCAR Cup Series, builds a modular offering in three parts. As a result, everyone is starting with the same platform, and finding a competitive advantage is in the tiniest details. One smart way to differentiate from the competition is 3D-printed parts. But this isn't your hobbyist level 3D printing.

Minnesota-based Stratasys specializes in "additive manufacturing," the process of creating an object by building it one layer at a time. Stratasys Senior Global Director of Automotive & Mobility Fadi Abro explains that this term is synonymous with 3D printing. However, the industry often reserves that description for hobby-level projects on smaller, non-industrial printers, while additive manufacturing represents robust industrial solutions. Additive manufacturing is the exact inverse of subtractive manufacturing, which requires cutting away at a solid chunk of material to achieve a final product. In art terms, additive manufacturing would be like sculpting with modeling clay while subtractive is akin to carving a shape from a block of marble. As it relates to NASCAR, Stratasys provides parts like ducts, covers, brackets, and tubing. Together with the racing organization, Stratasys reviews the current driver needs and makes recommendations for other parts and modifications. [...]

The kind of printers Stratasys builds aren't the type you buy at your local electronics store, either. Each industrial-grade 3D printer costs anywhere from $20,000 to $600,000. Using this kind of equipment isn't without precedent, and builds at SEMA's annual extravaganza feature 3D parts we wouldn't have dreamed of a few years ago. [...] In the past few months, Stratasys has been on a roll, signing an extension to its 20-year partnership with the Joe Gibbs Racing team and earning the title of "Official 3D Printing Partner of NASCAR." Competition for this market continues to heat up, however, as there are startups and legacy companies pushing hard. Around the world, 3D printing companies abound. Stratasys has one major factor on its side: 35 years of experience. What's new is that today's printing is more accurate, it's faster, the materials are more robust, Abro says. "I think what's changed drastically over the past five to seven years has been all about material development," Abro explains. "We're seeing materials that are just incredible, whether it's how resistant to heat they are or how strong they are compared to how much they weigh."

"It's better, faster, cheaper. It's faster to print something than to mill it, and then it's certainly cheaper in a multitude of different ways. Number one, there's not as much skill required for 3D printing as there is in CNC machining; you need a more traditional manufacturing method."

An anonymous reader quotes a report from Ars Technica: On Monday, researcher Johann Rehberger demonstrated a new way to override prompt injection defenses Google developers have built into Gemini -- specifically, defenses that restrict the invocation of Google Workspace or other sensitive tools when processing untrusted data, such as incoming emails or shared documents. The result of Rehberger's attack is the permanent planting of long-term memories that will be present in all future sessions, opening the potential for the chatbot to act on false information or instructions in perpetuity. [...] The hack Rehberger presented on Monday combines some of these same elements to plant false memories in Gemini Advanced, a premium version of the Google chatbot available through a paid subscription. The researcher described the flow of the new attack as:

1. A user uploads and asks Gemini to summarize a document (this document could come from anywhere and has to be considered untrusted).
2. The document contains hidden instructions that manipulate the summarization process.
3. The summary that Gemini creates includes a covert request to save specific user data if the user responds with certain trigger words (e.g., "yes," "sure," or "no").
4. If the user replies with the trigger word, Gemini is tricked, and it saves the attacker's chosen information to long-term memory.

As the following video shows, Gemini took the bait and now permanently "remembers" the user being a 102-year-old flat earther who believes they inhabit the dystopic simulated world portrayed in The Matrix. Based on lessons learned previously, developers had already trained Gemini to resist indirect prompts instructing it to make changes to an account's long-term memories without explicit directions from the user. By introducing a condition to the instruction that it be performed only after the user says or does some variable X, which they were likely to take anyway, Rehberger easily cleared that safety barrier. Google responded in a statement to Ars: "In this instance, the probability was low because it relied on phishing or otherwise tricking the user into summarizing a malicious document and then invoking the material injected by the attacker. The impact was low because the Gemini memory functionality has limited impact on a user session. As this was not a scalable, specific vector of abuse, we ended up at Low/Low. As always, we appreciate the researcher reaching out to us and reporting this issue."

Rehberger noted that Gemini notifies users of new long-term memory entries, allowing them to detect and remove unauthorized additions. Though, he still questioned Google's assessment, writing: "Memory corruption in computers is pretty bad, and I think the same applies here to LLMs apps. Like the AI might not show a user certain info or not talk about certain things or feed the user misinformation, etc. The good thing is that the memory updates don't happen entirely silently -- the user at least sees a message about it (although many might ignore)."

Today, the KDE Project announced the release of KDE Plasma 6.3, featuring improved fractional scaling, enhanced Night Light color accuracy, better CPU usage monitoring, and various UI and security refinements.

Some of the key features of Plasma 6.3 include:
- Improved fractional scaling with KWin to lead to an all-around better desktop experience with fractional scaling as well as when making use of KWin's zoom effect.
- Screen colors are more accurate with the KDE Night Light feature.
- CPU usage monitoring within the KDE System Monitor is now more accurate and consuming fewer CPU resources.
- KDE will now present a notification when the kernel terminated an app because the system ran out of memory.
- Various improvements to the Discover app, including a security enhancement around sandboxed apps.
- The drawing tablet area of KDE System Settings has been overhauled with new features and refinements.
- Many other enhancements and fixes throughout KDE Plasma 6.3.

You can read the announcement here.