Facebook is prompting users to opt into a feature that uploads photos from their camera roll -- even those not shared on the platform -- to Meta's servers for AI-driven suggestions like collages and stylized edits. While Meta claims the content is private and not used for ads, opting in allows the company to analyze facial features and retain personal data under its broad AI terms, raising privacy concerns. TechCrunch reports: The feature is being suggested to Facebook users when they're creating a new Story on the social networking app. Here, a screen pops up and asks if the user will opt into "cloud processing" to allow creative suggestions. As the pop-up message explains, by clicking "Allow," you'll let Facebook generate new ideas from your camera roll, like collages, recaps, AI restylings, or photo themes. To work, Facebook says it will upload media from your camera roll to its cloud (meaning its servers) on an "ongoing basis," based on information like time, location, or themes.

The message also notes that only you can see the suggestions, and the media isn't used for ad targeting. However, by tapping "Allow," you are agreeing to Meta's AI Terms. This allows your media and facial features to be analyzed by AI, it says. The company will additionally use the date and presence of people or objects in your photos to craft its creative ideas. [...] According to Meta's AI Terms around image processing, "once shared, you agree that Meta will analyze those images, including facial features, using AI. This processing allows us to offer innovative new features, including the ability to summarize image contents, modify images, and generate new content based on the image," the text states.

The same AI terms also give Meta's AIs the right to "retain and use" any personal information you've shared in order to personalize its AI outputs. The company notes that it can review your interactions with its AIs, including conversations, and those reviews may be conducted by humans. The terms don't define what Meta considers personal information, beyond saying it includes "information you submit as Prompts, Feedback, or other Content." We have to wonder whether the photos you've shared for "cloud processing" also count here.

Aaron Sorkin is officially working on a sequel to The Social Network. From a report: Last year, the Oscar-winning writer revealed he was working on a film that would revisit the subject of Facebook, and Deadline has now reported that The Social Network Part II is in development at Sony Pictures yet isn't a "straight sequel."

The original film, which traced the early days of Facebook and its creator Mark Zuckerberg, was directed by David Fincher. Sorkin is rumoured to be directing the follow-up. "I blame Facebook for January 6," he said in 2024 on a special edition of The Town podcast, live from Washington DC. When asked to explain why, he responded: "You're gonna need to buy a movie ticket."

The Social Network was an adaptation of Ben Mezrich's book The Accidental Billionaires, and the sequel will be based on the Wall Street Journal series The Facebook Files. The 2021 investigation examined the damage caused by the social networking site and how internal findings had been buried. Subjects included the influence on the January 6 riot and the mental health of teenage users.

The Register's Simon Sharwood reports: Huawei's chairman Xu Zhijun -- aka Eric Xu -- has called out China's enormous lead in fiber-to-the-room (FTTR) installations. Speaking at last week's Mobile World Congress event in Shanghai, Xu shared his views on the telecommunications industry's future growth opportunities and said by the end of 2025 China will be home to 75 million FTTR installations -- but just 500,000 exist outside the Middle Kingdom. Xu said FTTR will benefit businesses by increasing their internet connection speeds, helping them address spotty Wi-Fi coverage, allowing them to deploy tech in more places, and therefore creating more opportunities to adopt productivity-boosting devices and services. FTTR will also help carriers to sell more expensive packages, he said. Xu also urged telecom carriers to target high-growth user groups like delivery riders and livestream influencers, citing their above-average data consumption and revenue potential. Delivery riders, who will make up 5% of the global workforce by 2030, use four times more voice minutes and double the data of average users, while influencers generate five times the data usage and four times the revenue.

He also pushed for greater collaboration between carriers and platforms to deliver more high-res video content, and called for improved efficiency in networking equipment and device power use. "Xu said Huawei is here to help carriers deliver any of the scenarios he mentioned," concludes Sharwood. "And of course it is, because the Chinese giant has a thriving business selling to telcos -- or at least to telcos beyond the liberal democracies that have largely decided Huawei's close ties with Beijing mean the company and its products represent an unacceptable threat to the operation of critical infrastructure."

BlueSky has grown from roughly 10 million users in early November to 36.79 million today — and its last 30 days of traffic looks very level.

But instead of calling BlueSky's traffic "level", right-leaning libertarian Megan McArdle argues instead that BlueSky's "decline shows no sign of leveling out" (comparing the stable figures from the last month to a one-time spike seven months ago so they can write "It's now down about 50 percent"). And Wednesday the conservative UK magazine Spectator also ignored the 30-day-leveling to write instead that BlueSky is somehow "sliding down a slope".

But TechCrunch thinks the "up or down" conversation is entirely missing the point of "the wider network of apps built on the open protocol that Bluesky's team spearheaded" — and how BlueSky "is only meant to be one example of what's possible within the wider AT Proto ecosystem." If you don't like the tone of the topics trending on Bluesky, you can switch to other apps, change your default feeds, or even build your own social platform using the technology. Already, people are using the protocol that powers Bluesky to build social experiences for specific groups — like Blacksky is doing for the Black online community or like Gander Social is doing for social media users in Canada. There are also feed builders like Graze and those in Surf that let you create custom feeds where you can focus on specific content you care about — like video games or baseball — and exclude others, like politics. Built into Bluesky (and other third-party clients) are tools that let you pick your default feed and add others that interest you from a range of topics. If you want to follow a feed devoted to your favorite TV show or animal, for instance, you can. In other words, Bluesky is meant to be what you make it, and its content can be consumed in whatever format you prefer best.

In addition to Bluesky itself, the wider network of apps built on the AT Protocol includes photo- and video-sharing apps, livestreaming tools, communication apps, blogging apps, music apps, movie and TV recommendation apps, and more. Other tools also let you combine feeds from Bluesky with other social networks. Openvibe, for instance, can mix together feeds from social networks like Threads, Bluesky, Mastodon, and Nostr. Apps like Surf and Tapestry offer ways to track posts on open social platforms as well as those published with other open protocols like RSS. This lets the apps pull in content from blogs, news sites, YouTube, and podcasts.
Even just considering BlueSky itself, three weeks ago Fast Company pointed out that BlueSky "grew from 11 million users to 25 million between late October and mid-December, but has added only about 10 million more since then." So how is a 10-million user increase "dying"? For a social network, being prematurely written off is a rite of passage. It's even a compliment of sorts — a sign that people are paying attention and care... When I chatted with Bluesky CEO Jay Graber this week, I wasn't surprised that she didn't seem fazed by the debate on her platform and saw the parallels with early-days Twitter. "Reports of our death are greatly exaggerated," she told me. "It's a similar thing, because with social sites, it's not straight up all the time. [Growth] comes in waves, and at each stage, there's a new era of communities being established and formed. We're still seeing a lot of community formation, and one of the most exciting things is how structurally different this is. It's not just another social site that has to be a singular winner-take-all in an ecosystem with existing incumbents...."

One other challenge that Bluesky has not yet fully confronted is monetizing itself. Onstage at Web Summit, Graber emphasized that it's working on subscription services, a healthier revenue source than stuffing feeds with ads, though potentially a tougher one to scale up to sustainability. The company announced a $15 million Series A funding round last October.
But again, the point isn't BlueSky's increasing user count or its stablizing levels of Daily Unique "Likers" — but its underlying open source protocol: [S]he was at her most passionate when discussing the company's aspiration to decentralize social networking via its open AT Protocol. It powers Bluesky — and variants such as the Pinksky photo-sharing app, which she praised onstage — but could also provide the infrastructure for further-flung social experiences. Maybe even ones catering to folks who have zero interest in participating in the Bluesky community. "The goal is to really get through that this is a Choose Your Own Adventure and Bluesky's just the beginning," she says. "The sky's the limit." Whether she'll fulfill her grandest ambitions, I'm not sure. But I already like this era of social networking better than the one when a handful of winners really did take all.

Cisco is updating its networking and security products to make AI networks speedier and more secure, part of a broader push to capitalize on the AI spending boom. From a report: A new generation of switches -- networking equipment that links computer systems -- will offer a 10-fold improvement in performance, the company said on Tuesday. That will help prevent AI applications from suffering bottlenecks when transferring data, Cisco said. Networking speed has become a bigger issue as data center operators try to manage a flood of AI information -- both in the cloud and within the companies' own facilities. Slowdowns can hinder AI models, Cisco President and Chief Product Officer Jeetu Patel said in an interview. That applies to the development phase -- known as training -- and the operation of the models, a stage called inference. A massive build-out of data centers has made Cisco more relevant, he said. "AI is going to be network-bound, both on training and inference," Patel said. Having computer processors sit idle during training because of slow networks is "just throwing away money."

A prominent venture capitalist has warned that the technology industry's massive buildout of AI data centers risks becoming "irrational" and could end in disaster, particularly as companies pursue small nuclear reactors to power the facilities. Josh Wolfe, co-founder and partner at Lux Capital, compared the current infrastructure expansion to previous market bubbles in fiber-optic networking and cloud computing. While individual actions by hyperscale companies to build data center infrastructure remain rational, Wolfe said the collective effort "becomes irrational" and "will not necessarily persist."

The warning comes as Big Tech companies pour tens of billions into data centers and energy sources, with Meta announcing just this week a deal to purchase power from an operating nuclear station in Illinois that was scheduled to retire in 2027. Wolfe said he is worried that speculative capital is flowing into small modular reactors based on presumed energy demands from data centers. "I think that that whole thing is going to end in disaster, mostly because as cliched as it is, history doesn't repeat. It rhymes," he said.

An anonymous reader shares a report: Intel has considered divesting its network and edge businesses as the chipmaker looks to shave off parts of the company its new chief executive does not see as crucial, three sources familiar with the matter said.

Talks about the potential sale of the group, once called NEX in Intel's financial results, are a part of CEO Lip-Bu Tan's strategy to focus its tens of thousands of employees on areas in which it has historically thrived: PC and data center chips.

An anonymous reader quotes a report from ZDNet: Would you believe Microsoft has announced a new Linux distribution service for its Azure cloud service? You should. For many years, the most popular operating system on Azure has not been Windows Server, it's been Linux. Last time I checked, in 2024, Azure Linux Platforms Group Program Manager Jack Aboutboul told me that 60% of Azure Marketplace offerings and more than 60% of virtual machine cores use Linux. Those figures mean it's sensible for Microsoft to make it easier than ever for Linux distributors to release first-class Linux distros on Azure. The tech giant is taking this step, said Andrew Randall, principal manager for the Azure Core Linux product management team, by making "Azure Image Testing for Linux (AITL) available 'as a service' to distro publishers."

ATIL is built on Microsoft's Linux Integration Services Automation project (LISA). Microsoft's Linux Systems Group originally developed this initiative to validate Linux OS images. LISA is a Linux quality validation system with two parts: a test framework to drive test execution and a set of test suites to verify Linux distribution quality. LISA is now open-sourced under the MIT License. The system enables continuous testing of Linux images, covering a wide range of scenarios from kernel updates to complex cloud-native workloads. [...] Specifically, the ATIL service is designed to streamline the deployment, testing, and management of Linux images on Azure. The service builds on the company's internal expertise and open-source tools to provide:

- Curated, Azure-optimized, security-hardened Linux images
- Automated quality assurance and compliance testing for Linux distributions
- Seamless integration with Azure's cloud-native services and Kubernetes environments Krum Kashan, Microsoft Azure Linux Platforms Group program manager, said in a statement: "While numerous testing tools are available for validating Linux kernels, guest OS images, and user space packages across various cloud platforms, finding a comprehensive testing framework that addresses the entire platform stack remains a significant challenge. A robust framework is essential, one that seamlessly integrates with Azure's environment while providing coverage for major testing tools, such as LTP and kselftest, and covers critical areas like networking, storage, and specialized workloads, including Confidential VMs, HPC, and GPU scenarios. This unified testing framework is invaluable for developers, Linux distribution providers, and customers who build custom kernels and images."

Canonical today released Ubuntu 25.04 "Plucky Puffin," bringing significant upgrades to the non-LTS distribution including Linux kernel 6.14, GNOME 48 with triple buffering, and expanded hardware support.

For the first time, Ubuntu ships an official generic ARM64 desktop ISO targeting virtual machines and Snapdragon-based devices, with initial enablement for the Snapdragon X Elite platform. The release also adds full support for Intel Core Ultra Xe2 integrated graphics and "Battlemage" discrete GPUs, delivering improved ray tracing performance and hardware-accelerated video encoding.

Networking improvements include wpa-psk-sha256 Wi-Fi support and enhanced DNS resolution detection. The installer now better handles BitLocker-protected Windows partitions for dual-boot scenarios. Other notable changes include JPEG XL support by default, NVIDIA Dynamic Boost enabled on supported laptops, Papers replacing Evince as the default document viewer, and APT 3.0 becoming the standard package manager. Ubuntu 25.04 will receive nine months of support until January 2026.

Wikipedia remembers Dave Täht as "an American network engineer, musician, lecturer, asteroid exploration advocate, and Internet activist. He was the chief executive officer of TekLibre."

But on X.com Eric S. Raymond called him "one of the unsung heroes of the Internet, and a close friend of mine who I will miss very badly." Dave, known on X as @mtaht because his birth name was Michael, was a true hacker of the old school who touched the lives of everybody using X. His work on mitigating bufferbloat improved practical TCP/IP performance tremendously, especially around video streaming and other applications requiring low latency. Without him, Netflix and similar services might still be plagued by glitches and stutters.
Also on X, legendary game developer John Carmack remembered that Täht "did a great service for online gamers with his long campaign against bufferbloat in routers and access points. There is a very good chance your packets flow through some code he wrote." (Carmack also says he and Täht "corresponded for years".)

Long-time Slashdot reader TheBracket remembers him as "the driving force behind ">the Bufferbloat project and a contributor to FQ-CoDel, and CAKE in the Linux kernel."

Dave spent years doing battle with Internet latency and bufferbloat, contributing to countless projects. In recent years, he's been working with Robert, Frank and myself at LibreQoS to provide CAKE at the ISP level, helping Starlink with their latency and bufferbloat, and assisting the OpenWrt project.
Eric Raymond remembered first meeting Täht in 2001 "near the peak of my Mr. Famous Guy years. Once, sometimes twice a year he'd come visit, carrying his guitar, and crash out in my basement for a week or so hacking on stuff. A lot of the central work on bufferbloat got done while I was figuratively looking over his shoulder..."

Raymond said Täht "lived for the work he did" and "bore deteriorating health stoically. While I know him he went blind in one eye and was diagnosed with multiple sclerosis." He barely let it slow him down. Despite constantly griping in later years about being burned out on programming, he kept not only doing excellent work but bringing good work out of others, assembling teams of amazing collaborators to tackle problems lesser men would have considered intractable... Dave should have been famous, and he should have been rich. If he had a cent for every dollar of value he generated in the world he probably could have bought the entire country of Nicaragua and had enough left over to finance a space program. He joked about wanting to do the latter, and I don't think he was actually joking...

In the invisible college of people who made the Internet run, he was among the best of us. He said I inspired him, but I often thought he was a better and more selfless man than me. Ave atque vale, Dave.
Weeks before his death Täht was still active on X.com, retweeting LWN's article about "The AI scraperbot scourge", an announcement from Texas Instruments, and even a Slashdot headline.

Täht was also Slashdot reader #603,670, submitting stories about network latency, leaving comments about AI, and making announcements about the Bufferbloat project.

An anonymous reader quotes a report from TechCrunch: In a world filled with "vibe coding," Zach Yadegari, teen founder of Cal AI, stands in ironic, old-fashioned contrast. Ironic because Yadegari and his co-founder, Henry Langmack, are both just 18 years old and still in high school. Yet their story, so far, is a classic. Launched in May, Cal AI has generated over 5 million downloads in eight months, Yadegari says. Better still, he tells TechCrunch that the customer retention rate is over 30% and that the app generated over $2 million in revenue last month. [...]

The concept is simple: Take a picture of the food you are about to consume, and let the app log calories and macros for you. It's not a unique idea. For instance, the big dog in calorie counting, MyFitnessPal, has its Meal Scan feature. Then there are apps like SnapCalorie, which was released in 2023 and created by the founder of Google Lens. Cal AI's advantage, perhaps, is that it was built wholly in the age of large image models. It uses models from Anthropic and OpenAI and RAG to improve accuracy and is trained on open source food calorie and image databases from sites like GitHub.

"We have found that different models are better with different foods," Yadegari tells TechCrunch. Along the way, the founders coded through technical problems like recognizing ingredients from food packages or in jumbled bowls. The result is an app that the creators say is 90% accurate, which appears to be good enough for many dieters. The report says Yadegari began mastering Python and C# in middle school and went on to build his first business in ninth grade -- a website called Totally Science that gave students access to unblocked games (cleverly named to evade school filters). He sold the company at age 16 to FreezeNova for $100,000.

Following the sale, Yadegari immersed himself in the startup scene, watching Y Combinator videos and networking on X, where he met co-founder Blake Anderson, known for creating ChatGPT-powered apps like RizzGPT. Together, they launched Cal AI and moved to a hacker house in San Francisco to develop their prototype.

A ransomware-as-a-service variant called "Medusa" has claimed over 300 victims in "critical infrastructure sectors" (including medical), according to an joint alert from CISA, the FBI, and the Multi-State Information Sharing Analysis Center.

And that alert reminds us that Medusa is a globe-spanning operation that recruits third-party affiliates to plant ransomware and negotiate with victims, notes the Register. "Even organizations that have good ransomware recovery regimes, meaning they don't need to unscramble encrypted data as they have good backups and fall-back plans, may consider paying to prevent the release of their stolen data, given the unpleasant consequences that follow information leaks. Medusa actors also set a deadline for victims to pay ransoms and provide a countdown timer that makes it plain when stolen info will be sprayed across the internet. If victims cough up $10,000 in cryptocurrency, the crims push the deadline forward by 24 hours.

The advisory reveals one Medusa actor has taken things a step further. "FBI investigations identified that after paying the ransom, one victim was contacted by a separate Medusa actor who claimed the negotiator had stolen the ransom amount already paid," the advisory states. That separate actor then "requested half of the payment be made again to provide the 'true decryptor'," the advisory states, describing this incident as "potentially indicating a triple extortion scheme."
The security groups' advisory stresses that they "do not encourage paying ransoms as payment does not guarantee victim files will be recovered. Furthermore, payment may also embolden adversaries to target additional organizations..." (But "Regardless of whether you or your organization have decided to pay the ransom, FBI, CISA, and MS-ISAC urge you to promptly report ransomware incidents...)

Besides updating software and operating systems, the alert makes these recommendations for organizations:

• Require VPNs (or jump hosts) for remote network access

• Block remote access from unknown/untrusted origins, and disable unused ports

• Segment networks to help prevent the spread of ransomware

• Use a networking monitoring tool to spot and investigate abnormal activity — including lateral movement (using endpoint detection and response tools). Log all network traffic, and monitor it for unauthorized scanning and access attempts.

• Create recovery plans with encrypted offline backups of sensitive/proprietary data and servers

• Require multifactor authentication, use strong (and long) passwords, and "consider not requiring frequently recurring password changes, as these can weaken security." (Also audit access control following the principle of least privilege, and watch for new and/or unrecognized accounts.)

• Disable command-line and scripting activities and permissions.

Long-time Slashdot reader BenFenner writes: For the third time in recent memory, CloudFlare has blocked large swaths of niche browsers and their users from accessing web sites that CloudFlare gate-keeps. In the past these issues have been resolved quickly (within a week) and apologies issued with promises to do better. (See 2024-03-11, 2024-07-08, and 2025-01-30.)

This time around it has been over six weeks and CloudFlare has been unable or unwilling to fix the problem on their end, effectively stalling any progress on the matter with various tactics including asking browser developers to sign overarching NDAs.
That last link is an update posted today by Pale Moon's main developer: Our current situation remains unchanged: CloudFlare is still blocking our access to websites through the challenges, and the captcha/turnstile continues to hang the browser until our watchdog terminates the hung script after which it reloads and hangs again after a short pause (but allowing users to close the tab in that pause, at least). To say that this upsets me is an understatement. Other than deliberate intent or absolute incompetence, I see no reason for this to endure. Neither of those options are very flattering for CloudFlare.

I wish I had better news.
In a comment, Slashdot reader BenFenner shares a list posted by Pale Moon's developer of reportedly affected browsers:

• Pale Moon
• Basilisk
• Waterfox
• Falkon
• SeaMonkey
• Various Firefox ESR flavors
• Thorium (on some systems)
• Ungoogled Chromium
• K-Meleon
• LibreWolf
• MyPal 68
• Otter browser

Slashdot reader Z00L00K speculates that "this is some kind of anti-bot measure that fails. I suspect that the reason for them wanting a NDA to be signed is to prevent ways to circumvent the anti-bot measures..."

Goldman Sachs, in a research note Thursday (the note isn't publicly posted): Annualized revenue for public companies exposed to the build-out of AI infrastructure increased by over $340 billion from 2022 through 2024Q4 (and is projected to increase by almost $580 billion by end-2025). In contrast, annualized real investment in AI-related categories in the US GDP accounts has only risen by $42 billion over the same period. This sharp divergence has prompted questions from investors about why US GDP is not receiving a larger boost from AI.

A large share of the nominal revenue increase reported by public companies reflects cost inflation (particularly for semiconductors) and foreign revenue, neither of which should boost real US GDP. Indeed, we find that margin expansion ($30 billion) and increased revenue from other countries ($130 billion) account for around half of the publicly reported AI spending surge.

That said, the BEA's (Bureau of Economic Analysis) methodology potentially understates the impact of AI-related investment on real GDP by around $100 billion. Manufacturing shipments and net imports imply that US semiconductor supply has increased by over $35 billion since 2022, but the BEA records semiconductor purchases as intermediate inputs rather than investment (since semiconductors have historically been embedded in products that are later resold) and therefore excludes them from GDP. Cloud services used to train and support AI models are similarly mostly recorded as intermediate inputs.

Combined, we find that these explanations can explain most of the AI investment discrepancy, with only $50 billion unexplained. Looking ahead, we see more scope for AI-related investment to provide a moderate boost to real US GDP in 2025 since AI investment should broaden to categories like data centers, servers and networking hardware, and utilities that will likely be captured as real investment. However, we expect the bulk of investment in semiconductors and cloud computing will remain unmeasured barring changes to US national account methodology.

This year's "State of Rust" survey was completed by 7,310 Rust developers. DevClass note some key findings: When asked about their biggest worries for Rust's future, 45.5 percent cited "not enough usage in the tech industry," up from 42.5 percent last year, just ahead of the 45.2 percent who cited complexity as a concern... Only 18.6 percent declared themselves "not worried," though this is a slight improvement on 17.8 percent in 2023...

Another question asks whether respondents are using Rust at work. 38.2 percent claimed to use it for most of their coding [up from 34% in 2023], and 13.4 percent a few times a week, accounting for just over half of responses. At the organization level there is a similar pattern. 45.5 percent of organizations represented by respondents make "non-trivial use of Rust," up from 38.7 percent last year.
More details from I Programmer: On the up are "Using Rust helps us achieve or goals", now 82% compared to 72% in 2022; "We're likely to use Rust again in the future", up 3% to 78%; and "Using Rust has been worth the cost of Adoption". Going down are "Adopting Rust has been challenging", now 34.5% compared to 38.5% in 2022; and "Overall adopting Rust has slowed down our team" down by over 2% to 7%.
"According to the survey, organizations primarily choose Rust for building correct and bug-free software (87.1%), performance characteristics (84.5%), security and safety properties (74.8%), and development enjoyment (71.2%)," writes The New Stack: Rust seems to be especially popular for creating server backends (53.4%), web and networking services, cloud technologies and WebAssembly, the report said. It also seems to be gaining more traction for embedded use cases... Regarding the preferred development environment, Linux remains the dominant development platform (73.7%).

However, although VS Code remains the leading editor, its usage dropped five percentage points, from 61.7% to 56.7%, but the Zed editor gained notable traction, from 0.7% to 8.9%. Also, "nine out of 10 Rust developers use the current stable version, suggesting strong confidence in the language's stability," the report said...

Overall, 82% of respondents report that Rust helped their company achieve its goals, and daily Rust usage increased to 53% (up four percentage points from 2023). When asked why they use Rust at work, 47% of respondents cited a need for precise control over their software, which is up from 37% when the question was asked two years ago.

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."

Google parent Alphabet plans to spend $75 billion on capital expenditures in 2025, up from $52.5 billion last year, as it races to compete with Microsoft and Meta in AI infrastructure. CNBC: On its earnings call, Alphabet said it expects $16 billion to $18 billion of those expenses to come in the first quarter. Overall, the expenditures will go toward "technical infrastructure, primarily for servers, followed by data centers and networking," finance chief Anat Ashkenazi said.

[...] Alphabet and its megacap tech rivals are rushing to build out their data centers with next-generation AI infrastructure, packed with Nvidia's graphics processing units, or GPUs. Last month, Meta said it plans to invest $60 billion to $65 billion this year as part of its AI push. Microsoft has committed to $80 billion in AI-related capital expenditures in its current fiscal year.

Thursday America's FDA "raised concerns about cybersecurity vulnerabilities" in patient monitors from China-based medical device company Contec "that could allow unauthorized individuals to access and potentially manipulate those devices," reports Reuters. The patient monitors could be remotely controlled by unauthorized users or may not function as intended, and the network to which these devices are connected could be compromised, the agency warned. The FDA also said that once these devices are connected to the internet, they can collect patient data, including personally identifiable information and protected health information, and can export this data out of the healthcare delivery environment.

The agency, however, added that it is currently unaware of any cybersecurity incidents, injuries, or deaths related to these identified cybersecurity vulnerabilities.
The FDA's announcement says "The software on the patient monitors includes a backdoor, which may mean that the device or the network to which the device has been connected may have been or could be compromised." And it offers this advice to caregivers and patients: If your health care provider confirms that your device relies on remote monitoring features, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor.

If your device does not rely on remote monitoring features, use only the local monitoring features of the patient monitor. This means unplugging the device's ethernet cable and disabling wireless (that is, WiFi or cellular) capabilities, so that patient vital signs are only observed by a caregiver or health care provider in the physical presence of a patient. If you cannot disable the wireless capabilities, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor.
A detailed report from CISA describes how a research team "created a simulated network, created a fake patient profile, and connected a blood pressure cuff, SpO2 monitor, and ECG monitor peripherals to the patient monitor. Upon startup, the patient monitor successfully connected to the simulated IP address and immediately began streaming patient data..." to an IP address that hard-coded into the backdoor function. "Sensor data from the patient monitor is also transmitted to the IP address in the same manner. If the routine to connect to the hard-coded IP address and begin transmitting patient data is called, it will automatically initialize the eth0 interface in the same manner as the backdoor. This means that even if networking is not enabled on startup, running this routine will enable networking and thereby enable this functionality

During the company's fourth-quarter earnings call Thursday, Intel co-CEO Michelle Johnston Holthaus announced that Intel has decided to cancel its Falcon Shores AI chip. Instead, it'll opt to use it as an internal test chip while shifting focus to Jaguar Shores for AI data center solutions. TechCrunch reports: "AI data center ... is an attractive market for us," Holthaus said during the call. "[B]ut I am not happy with where we are today. We're not yet participating in the cloud-based AI data center market in a meaningful way ... One of the immediate actions I have taken is to simplify our roadmap and concentrate our resources." The focus instead will be on Jaguar Shores, which Holthaus called Intel's opportunity to "develop a system-level solution at rack scale ... to address the AI data center more broadly."

Holthaus tempered expectations for Falcon Shores last month, when she implied that it was an "iterative" step over the company's previous dedicated AI data center chip, Gaudi 3. "One of the things that we've learned from Gaudi is, it's not enough to just deliver the silicon," Holthaus said during Thursday's earnings call. "Falcon Shores will help us in that process of working on the system, networking, memory -- all those component[s]. But what customers really want is that full-scale rack solution, and so we're able to get to that with Jaguar Shores."

"As I think about our AI opportunity, my focus is on the problems our customers are trying to solve, most notably the need to lower the cost and increase the efficiency of compute," Holthaus said. "As such, a one-size-fits-all approach will not work, and I can see clear opportunities to leverage our core assets in new ways to drive the most compelling total cost of ownership across the continuum."

Longtime Slashdot reader nunya_bizns shares a report from Reuters: The U.S. Department of Justice has sued to block Hewlett Packard Enterprise's $14 billion deal to acquire networking gear maker Juniper Networks, arguing that it would stifle competition, according to a complaint filed on Thursday. The DOJ argued that the acquisition would eliminate competition and would lead to only two companies -- Cisco Systems and HPE -- controlling more than 70% of the U.S. market for networking equipment. More than a year ago, the server maker said that it would buy Juniper Networks for $14 billion in an all-cash deal, as it looks to spruce up its artificial intelligence offerings.

"Juniper has also introduced innovative tools that have materially decreased the cost of operating a wireless network for many customers. This competitive pressure has forced HPE to discount its offerings and invest in its own innovation," the DOJ said in its complaint. Stiff competition from Juniper forced HPE to sell its products at a discount and spend to introduce new features under the "Beat Mist" campaign, named after the networking gear company's rival product, the DOJ wrote. "Having failed to beat Mist on the merits, HPE changed tactics and in January 2024 opted to try to buy Juniper instead," the agency added.