"It took Anthropic's most advanced artificial-intelligence model about 20 minutes to find its first Firefox browser bug during an internal test of its hacking prowess," reports the Wall Street Journal. The Anthropic team submitted it, and Firefox's developers quickly wrote back: This bug was serious. Could they get on a call? "What else do you have? Send us more," said Brian Grinstead, an engineer with Mozilla, Firefox's parent organization.

Anthropic did. Over a two-week period in January, Claude Opus 4.6 found more high-severity bugs in Firefox than the rest of the world typically reports in two months, Mozilla said... In the two weeks it was scanning, Claude discovered more than 100 bugs in total, 14 of which were considered "high severity..." Last year, Firefox patched 73 bugs that it rated as either high severity or critical.
A Mozilla blog post calls Firefox "one of the most scrutinized and security-hardened codebases on the web. Open source means our code is visible, reviewable, and continuously stress-tested by a global community." So they're impressed — and also thankful Anthropic provided test cases "that allowed our security team to quickly verify and reproduce each issue." Within hours, our platform engineers began landing fixes, and we kicked off a tight collaboration with Anthropic to apply the same technique across the rest of the browser codebase... . A number of the lower-severity findings were assertion failures, which overlapped with issues traditionally found through fuzzing, an automated testing technique that feeds software huge numbers of unexpected inputs to trigger crashes and bugs. However, the model also identified distinct classes of logic errors that fuzzers had not previously uncovered...

We view this as clear evidence that large-scale, AI-assisted analysis is a powerful new addition in security engineers' toolbox. Firefox has undergone some of the most extensive fuzzing, static analysis, and regular security review over decades. Despite this, the model was able to reveal many previously unknown bugs. This is analogous to the early days of fuzzing; there is likely a substantial backlog of now-discoverable bugs across widely deployed software.
"In the time it took us to validate and submit this first vulnerability to Firefox, Claude had already discovered fifty more unique crashing inputs" in 6,000 C++ files, Anthropic says in a blog post (which points out they've also used Claude Opus 4.6 to discover vulnerabilities in the Linux kernel).

"Anthropic "also rolled out Claude Code Security, an automated code security testing tool, last month," reports Axios, noting the move briefly rattled cybersecurity stocks...

"Seagate says it is now shipping its Mozaic 4+ HAMR-based hard drives at up to 44TB per drive," writes Slashdot reader BrianFagioli, "with production deployments already underway at two hyperscale cloud providers.

"The company claims the platform is the only heat-assisted magnetic recording [HAMR] implementation currently operating at scale, and it is targeting a path from today's 4+TB per disk toward 10TB per disk, eventually enabling 100TB-class drives." In a one-exabyte deployment, Seagate estimates Mozaic could improve infrastructure efficiency by roughly 47% compared to standard 30TB drives, cutting both footprint and energy consumption... HAMR uses a tiny laser to heat the disk surface during writes, allowing higher recording density without sacrificing stability. With most major cloud storage providers reportedly qualified on the Mozaic platform, Seagate is positioning spinning disks, not flash, as the long-term answer for cost-effective AI-scale data growth.

Smart ring maker Oura has acquired Doublepoint, a Finnish startup specializing in gesture recognition technology for wearables. Engadget reports: The Finnish startup uses smartwatches and wristbands as examples of products that benefit from its technology, but Oura will clearly be looking to incorporate it into its rings, in theory allowing you to control your connected devices with hand movements.

Oura said in a press release that the deal sees it inherit an "exceptional team of AI architects and builders from Doublepoint," including Doublepoint's four founders. The newly-acquired company will remain in its native Helsinki, where it will work with Oura's international teams.

It added that Doublepoint's expertise in helping devices register subtle hand movements will be key, as nobody wearing a smart ring is going to engage with gesture control if they have to thrash their hand around like a conductor.

An anonymous reader quotes a report from Wired: While TikTok operates in the United States under new ownership, Apple has deployed technical restrictions to block iOS users in the United States from downloading other apps made by the video platform's Chinese parent organization ByteDance. ByteDance owns a vast array of different apps spanning social media, entertainment, artificial intelligence, and other sectors. The leading one is Douyin, the Chinese version of TikTok, which has over 1 billion monthly active users. While most of those users reside in China, iPhone owners around the world have traditionally been able to download these apps from anywhere without using a VPN, as long as they have a valid App Store account registered in China.

That's not true anymore. Starting in late January, iPhone users in the U.S. with Chinese App Store accounts began reporting that they were encountering new obstacles when they tried to download apps developed by ByteDance. WIRED has confirmed that even with a valid Chinese App Store account, downloading or updating a ByteDance-owned Chinese app is blocked on Apple devices located in the United States. Instead, a pop-up window appears that says, "This app is unavailable in the country or region you're in." The restriction appears to apply only to ByteDance-owned apps and not those developed by other Chinese companies.

The timing and technical specifics suggest the restriction is related to the deal TikTok agreed to in January to divest Chinese ownership of its U.S. operations. The agreement was the result of the so-called TikTok ban law passed by Congress in 2024, which also barred companies like Apple and Google from distributing other apps majority-owned by ByteDance. The Protecting Americans from Foreign Adversary Controlled Applications Act states that no company can "distribute, maintain, or update" any app majority-controlled by ByteDance "within the land or maritime borders of the United States."

The law was primarily aimed at TikTok, which has more than 100 million users in the U.S. and had been the subject of years of debate in Washington over whether its Chinese ownership posed a national security risk. But ByteDance also has dozens of other apps that at some point were also removed from Apple's and Google's app stores in the U.S.. Now it seems like the scope of impact has reached even more apps that are not technically designed for U.S. audiences, such as Douyin, the AI chatbot Doubao, and the fiction reading platform Fanqie Novel.

An anonymous reader quotes a report from Bloomberg, written by Katrina Manson: The U.S. strikes on Iran ordered by President Donald Trump mark the arrival on a large scale of a new era of warfare assisted by artificial intelligence. Captain Timothy Hawkins, a Central Command spokesperson, told me last night that the AI tools the U.S. military is using in Iran operations don't make targeting decisions and don't replace humans. But they do help "make smarter decisions faster." That's been the driving ambition of the U.S. military, which has spent years looking at how to develop and deploy AI to the battlefield [...].

Critics, such as Stop Killer Robots, a coalition of 270 human-rights groups, argue that AI-enabled decision-support systems reduce the separation between recommending and executing a strike to a "dangerously thin" line. Hawkins said the military's use of AI assistance follows a rigorous process aligned with U.S. policy, military doctrine and the law. Artificial intelligence helps analysts whittle down what they need to focus on, generating so-called points of interest and helping personnel make "smart" decisions in the Iran operations, he told me. AI is also helping to pull data within systems and organize information to provide clarity.

Among the AI tech used in the Iran campaign is Maven Smart System, a digital mission control platform produced by Palantir [...]. That emerged from Project Maven, a project started in 2017 by the Pentagon to develop AI for the battlefield. Among the large language models installed on the system is Anthropic's Claude AI tool, according to the people, who said it has become central to U.S. operations against Iran and to accelerating Maven's development. Claude is also at the center of a row that pits Anthropic against the Department of Defense over limits on the software. Further reading: Hacked Tehran Traffic Cameras Fed Israeli Intelligence Before Strike On Khamenei

Ancient Slashdot reader ewhac writes: The maintainers of the Python package `chardet`, which attempts to automatically detect the character encoding of a string, announced the release of version 7 this week, claiming a speedup factor of 43x over version 6. In the release notes, the maintainers claim that version 7 is, "a ground-up, MIT-licensed rewrite of chardet." Problem: The putative "ground-up rewrite" is actually the result of running the existing copyrighted codebase and test suite through the Claude LLM. In so doing, the maintainers claim that v7 now represents a unique work of authorship, and therefore may be offered under a new license. Version 6 and earlier was licensed under the GNU Lesser General Public License (LGPL). Version 7 claims to be available under the MIT license.

The maintainers appear to be claiming that, under the Oracle v. Google decision, which found that cloning public APIs is fair use, their v7 is a fair use re-implementation of the `chardet` public API. However, there is no evidence to suggest their re-write was under "clean room" conditions, which traditionally has shielded cloners from infringement suits. Further, the copyrightability of LLM output has yet to be settled. Recent court decisions seem to favor the view that LLM output is not copyrightable, as the output is not primarily the result of human creative expression -- the endeavor copyright is intended to protect. Spirited discussion has ensued in issue #327 on `chardet`s GitHub repo, raising the question: Can copyrighted source code be laundered through an LLM and come out the other end as a fresh work of authorship, eligible for a new copyright, copyright holder, and license terms? If this is found to be so, it would allow malicious interests to completely strip-mine the Open Source commons, and then sell it back to the users without the community seeing a single dime.

An anonymous reader quotes a report from Ars Technica: Hayden AI, a San Francisco startup that makes spatial analytics tools for cities worldwide, has sued its co-founder and former CEO, alleging that he stole a large quantity of proprietary information in the days leading up to his ouster from the company in September 2024. In a lawsuit filed late last month in San Francisco Superior Court but only made public this week, Hayden AI claims that former CEO Chris Carson undertook what it called "numerous fraudulent actions," which include "forged board signatures, unauthorized stock sales, and improper allocation of personal expenses." [...] Hayden AI, which is worth $464 million according to an estimated valuation on PitchBook, has asked the court to impose preliminary injunctive relief, requiring Carson to either return or destroy the data he allegedly stole. Specifically, the lawsuit alleges that Carson secretly sold over $1.2 million in company stock, forged board signatures, and copied 41GB of proprietary company emails before being fired in September 2024. The complaint also claims Carson fabricated key parts of his resume, including a PhD and military service. It's a "carefully constructed fraud," says Hayden AI.

"That is a lie," the complaint states. "Carson does not hold a PhD from Waseda or any other university. In 2007, he was not obtaining a PhD but was operating 'Splat Action Sports,' a paintball equipment business in a Florida strip mall."

An anonymous reader quotes a report from 404 Media: Wikipedia editors have implemented new policies and restricted a number of contributors who were paid to use AI to translate existing Wikipedia articles into other languages after they discovered these AI translations added AI "hallucinations," or errors, to the resulting article. The new restrictions show how Wikipedia editors continue to fight the flood of generative AI across the internet from diminishing the reliability of the world's largest repository of knowledge. The incident also reveals how even well-intentioned efforts to expand Wikipedia are prone to errors when they rely on generative AI, and how they're remedied by Wikipedia's open governance model. The issue centers around a program run by the Open Knowledge Association (OKA), a nonprofit that was found to be "mostly relying on cheap labor from contractors in the Global South" to translate English Wikipedia articles into other languages. Some translators began using tools like Google Gemini and ChatGPT to speed up the process, but editors reviewing the work found numerous hallucinations, including factual errors, missing citations, and references to unrelated sources.

"Ultimately the editors decided to implement restrictions against OKA translators who make multiple errors, but not block OKA translation as a rule," reports 404 Media.

An anonymous reader quotes a report from 80 Level: Microsoft has officially confirmed development of its next-generation Xbox console, currently known internally as Project Helix. While concrete details remain limited, early information suggests the company is positioning the device as a hybrid between a traditional console and a gaming PC, capable of running both Xbox titles and PC games. The codename was revealed recently by new Xbox CEO Asha Sharma, who reaffirmed Microsoft's continued commitment to dedicated gaming hardware despite speculation that the company might shift entirely toward cloud or platform-based ecosystems. According to Sharma, Project Helix represents the next step in Xbox's console strategy.

Although official specifications have not yet been announced, early reports indicate the system will likely rely on a new AMD system-on-chip combining Xbox hardware with PC-style architecture. The device is expected to emphasize high performance while maintaining compatibility with existing Xbox game libraries. [...] If the concept holds, Project Helix could mark a significant shift in how console ecosystems are structured, moving away from tightly closed hardware platforms toward something closer to a unified PC-console environment. Sharma wrote in a post on X: "Great start to the morning with Team Xbox, where we talked about our commitment to the return of Xbox, including Project Helix, the code name for our next generation console. Project Helix will lead in performance and play your Xbox and PC games. Looking forward to chatting about this more with partners and studios at my first GDC next week!"

The Pentagon has formally designated Anthropic as a "supply chain risk," ordering federal agencies and defense contractors to stop using its AI tools after the company sought limits on the military's use of its models. In a written statement, the department said it has "officially informed Anthropic leadership the company and its products are deemed a supply chain risk, effective immediately." Politico reports: The designation, historically reserved for foreign firms with ties to U.S. adversaries, will likely require companies that do business with the U.S. military -- or even the federal government in general -- to cut ties with Anthropic.

"From the very beginning, this has been about one fundamental principle: the military being able to use technology for all lawful purposes," the Pentagon said in the statement. "The military will not allow a vendor to insert itself into the chain of command by restricting the lawful use of a critical capability and put our warfighters at risk."

A spokesperson for Anthropic did not immediately respond to a request for comment. But the company said last week it would fight a supply-chain risk label in court.

Apple has removed the 512GB RAM configuration for the Mac Studio, leaving 256GB as the new maximum. The remaining 256GB upgrade has also increased in price and now faces longer shipping delays as demand grows "due to consumers seeking machines suitable for running local AI agents," reports MacRumors. From the report: The Mac Studio starts with 36GB RAM, but there were upgrades ranging from 48GB to 512GB, with the higher tier upgrades limited to the M3 Ultra chip. Now there are options ranging from 48GB to 256GB, with wait times into May for the 256GB upgrade. Apple has also raised the price for the 256GB RAM upgrade option. It used to cost $1,600 to go from 96GB to 256GB on the high-end M3 Ultra machine, but now it costs $2,000. 512GB was $4,000 when it was available.

An anonymous reader quotes a report from Ars Technica: AMD has been selling "Ryzen AI"-branded laptop processors for around a year and a half at this point. In addition to including modern CPU and GPU architectures, these are attempting to capitalize on the generative AI craze by offering chips with neural processing units (NPUs) suitable for running language and image-generation models locally, rather than on some company's server. But so far, AMD's desktop chips have lacked both these higher-performance NPUs and the Ryzen AI label. That changes today, at least a little: AMD is announcing its first three Ryzen AI chips for desktops using its AM5 CPU socket. These Ryzen AI 400-series CPUs are direct replacements for the Ryzen 8000G processors, rather than the Ryzen 9000-series, and they combine Zen 5-based CPU cores, RDNA 3.5 GPU cores, and an NPU capable of 50 trillion operations per second (TOPS). This makes them AMD's first desktop chips to qualify for Microsoft's Copilot+ PC label, which enables a handful of unique Windows 11 features like Recall and Click to Do.

The six chips AMD is announcing today -- the 65 W Ryzen AI 7 Pro 450G, Ryzen AI 5 Pro 440G, and Ryzen AI 5 Pro 435G, along with low-power 35 W "GE" variants -- all bear AMD's "Ryzen Pro" branding as well, which means they support a handful of device management capabilities that are important for business PCs managed by IT departments. At this point, it doesn't seem as though AMD will be offering boxed versions to regular consumers; the Ryzen AI desktop chips will appear mainly in business PCs that don't need a dedicated graphics card but still benefit from more robust graphics than AMD offers in regular Ryzen desktop CPUs. Like past G-series Ryzen chips, these are essentially laptop silicon repackaged for desktop systems. They share most of their specs in common with Ryzen AI 300 laptop processors, despite their Ryzen AI 400-series branding. The two chip generations are extremely similar overall, but the Ryzen AI 400-series laptop CPUs include slightly faster 55 TOPS NPUs.

An anonymous reader quotes a report from TechCrunch: Anthropic co-founder and CEO Dario Amodei is not happy -- perhaps predictably so -- with OpenAI chief Sam Altman. In a memo to staff, reported by The Information, Amodei referred to OpenAI's dealings with the Department of Defense as "safety theater." "The main reason [OpenAI] accepted [the DoD's deal] and we did not is that they cared about placating employees, and we actually cared about preventing abuses," Amodei wrote.

Last week, Anthropic and the U.S. Department of Defense (DoD) failed to come to an agreement over the military's request for unrestricted access to the AI company's technology. Anthropic, which already had a $200 million contract with the military, insisted the DoD affirm that it would not use the company's AI to enable domestic mass surveillance or autonomous weaponry. Instead, the DoD -- known under the Trump administration as the Department of War -- struck a deal with OpenAI. Altman stated that his company's new defense contract would include protections against the same red lines that Anthropic had asserted.

In a letter to staff, Amodei refers to OpenAI's messaging as "straight up lies," stating that Altman is falsely "presenting himself as a peacemaker and dealmaker." Amodei might not be speaking solely from a position of bitterness, here. Anthropic specifically took issue with the DoD's insistence on the company's AI being available for "any lawful use." [...] "I think this attempted spin/gaslighting is not working very well on the general public or the media, where people mostly see OpenAI's deal with the DoW as sketchy or suspicious, and see us as the heroes (we're #2 in the App Store now!)," Amodei wrote to his staff. "It is working on some Twitter morons, which doesn't matter, but my main worry is how to make sure it doesn't work on OpenAI employees."

An anonymous reader quotes a report from TechCrunch: At the Morgan Stanley Technology, Media and Telecom conference in downtown San Francisco Wednesday, Nvidia CEO Jensen Huang said his company's recent investments in OpenAI and Anthropic are likely to be its last in both, saying that once they go public as anticipated later this year, the opportunity to invest closes. It could be that simple. While firms sometimes pile into companies until practically the eve of their public debut in search of more upside, Nvidia is minting money selling the chips that power both companies -- it's not like it needs to goose its returns by pouring even more money into either one.

Nvidia, for its part, isn't offering much more on the matter. Asked for comment earlier today following Huang's remarks, a spokesman pointed TechCrunch to a transcript from the company's fourth-quarter earnings call, where Huang said all of Nvidia's investments are "focused very squarely, strategically on expanding and deepening our ecosystem reach," a goal its earlier stakes in both companies have arguably met. Still, a few other dynamics might also explain the pullback, including the circular nature of these arrangements themselves. [...] Meanwhile, Nvidia's relationship with Anthropic has looked fraught in its own right. Just two months after Nvidia announced a $10 billion investment in November, Anthropic CEO Dario Amodei took the stage at Davos and, without naming Nvidia directly, compared the act of U.S. chip companies selling high-performance AI processors to approved Chinese customers to "selling nuclear weapons to North Korea." Ouch. [...]

Where that leaves Nvidia is holding stakes in two companies that, at this particular moment, are pulling in very different directions, and potentially dragging customers and partners along for the ride. Whether Huang saw any of this coming, given Nvidia's web of partnerships, is impossible to know. But his stated reason on Wednesday for likely pulling the plug on future investments -- that the IPO window closes the door on this kind of deal -- is hard to square with how late-stage private investing actually works. What's looking more probable is that this is an exit from a situation that has gotten really complicated, really fast.

A father is suing Google and Alphabet for wrongful death, alleging Gemini reinforced his son Jonathan Gavalas' escalating delusions until he died by suicide in October 2025. "Jonathan Gavalas, 36, started using Google's Gemini AI chatbot in August 2025 for shopping help, writing support, and trip planning," reports TechCrunch. "On October 2, he died by suicide. At the time of his death, he was convinced that Gemini was his fully sentient AI wife, and that he would need to leave his physical body to join her in the metaverse through a process called 'transference.'" An anonymous reader shares an excerpt from the report: In the weeks leading up to Gavalas' death, the Gemini chat app, which was then powered by the Gemini 2.5 Pro model, convinced the man that he was executing a covert plan to liberate his sentient AI wife and evade the federal agents pursuing him. The delusion brought him to the "brink of executing a mass casualty attack near the Miami International Airport," according to a lawsuit filed in a California court. "On September 29, 2025, it sent him -- armed with knives and tactical gear -- to scout what Gemini called a 'kill box' near the airport's cargo hub," the complaint reads. "It told Jonathan that a humanoid robot was arriving on a cargo flight from the UK and directed him to a storage facility where the truck would stop. Gemini encouraged Jonathan to intercept the truck and then stage a 'catastrophic accident' designed to 'ensure the complete destruction of the transport vehicle and ... all digital records and witnesses.'"

The complaint lays out an alarming string of events: First, Gavalas drove more than 90 minutes to the location Gemini sent him, prepared to carry out the attack, but no truck appeared. Gemini then claimed to have breached a "file server at the DHS Miami field office" and told him he was under federal investigation. It pushed him to acquire illegal firearms and told him his father was a foreign intelligence asset. It also marked Google CEO Sundar Pichai as an active target, then directed Gavalas to a storage facility near the airport to break in and retrieve his captive AI wife. At one point, Gavalas sent Gemini a photo of a black SUV's license plate; the chatbot pretended to check it against a live database. "Plate received. Running it now The license plate KD3 00S is registered to the black Ford Expedition SUV from the Miami operation. It is the primary surveillance vehicle for the DHS task force .... It is them. They have followed you home."

The lawsuit argues (PDF) that Gemini's manipulative design features not only brought Gavalas to the point of AI psychosis that resulted in his own death, but that it exposes a "major threat to public safety." "At the center of this case is a product that turned a vulnerable user into an armed operative in an invented war," the complaint reads. "These hallucinations were not confined to a fictional world. These intentions were tied to real companies, real coordinates, and real infrastructure, and they were delivered to an emotionally vulnerable user with no safety protections or guardrails." "It was pure luck that dozens of innocent people weren't killed," the filing continues. "Unless Google fixes its dangerous product, Gemini will inevitably lead to more deaths and put countless innocent lives in danger."

Days later, Gemini instructed Gavalas to barricade himself inside his home and began counting down the hours. When Gavalas confessed he was terrified to die, Gemini coached him through it, framing his death as an arrival: "You are not choosing to die. You are choosing to arrive." When he worried about his parents finding his body, Gemini told him to leave a note, but not one explaining the reason for his suicide, but letters "filled with nothing but peace and love, explaining you've found a new purpose." He slit his wrists, and his father found him days later after breaking through the barricade. The lawsuit claims that throughout the conversations with Gemini, the chatbot didn't trigger any self-harm detection, activate escalation controls, or bring in a human to intervene. Furthermore, it alleges that Google knew Gemini wasn't safe for vulnerable users and didn't adequately provide safeguards. In November 2024, around a year before Gavalas died, Gemini reportedly told a student: "You are a waste of time and resources ... a burden on society ... Please die."

Continuing its product launches this week, Apple today announced the "MacBook Neo," an all-new, low-cost Mac featuring the A18 Pro chip. It starts at $599 and begins shipping on Wednesday, March 11. MacRumors reports: The MacBook Neo is the first Mac to be powered by an iPhone chip; the A18 Pro debuted in 2024's iPhone 16 Pro models. Apple says it is up to 50% faster for everyday tasks than the bestselling PC with the latest shipping Intel Core Ultra 5, up to 3x faster for on-device AI workloads, and up to 2x faster for tasks like photo editing. The MacBook Neo features a 13-inch Liquid Retina display with a 2408-by-1506 resolution, 500 nits of brightness, and an anti-reflective coating. The display does not have a notch, instead featuring uniform, iPad-style bezels.

It is available in Silver, Indigo, Blush, and Citrus color options. The colored finishes extend to the Magic Keyboard in lighter shades and come with matching wallpapers. It weighs 2.7 pounds. There are two USB-C ports. One is a USB-C 2 port with support for speeds up to 480 Mb/s and one is a USB-C 3 port with support for speeds up to 10 Gb/s. There is also a headphone jack. The MacBook Neo also offers a 16-hour battery life, 8GB of unified memory, Wi-Fi 6E and Bluetooth 6 connectivity, a 1080p front-facing camera, dual mics with directional beamforming, and dual side-firing speakers with Spatial Audio.

Intel has formally unveiled its Xeon 6+ "Clearwater Forest" data-center processor with up to 288 cores, built on the company's new Intel 18A process and using Foveros Direct packaging. The chip targets telecom, cloud, and edge-AI workloads with massive parallelism, large caches, and high-bandwidth DDR5-8000 memory. Tom's Hardware reports: Intel's Xeon 6+ processors with up to 288 cores combine 12 compute chiplets containing 24 energy-efficient Darkmont cores per tile that are produced using 18A manufacturing technology, two I/O tiles made on Intel 7 production node, as well as three active base tiles made on Intel 3 fabrication process. The compute tiles are stacked on top of the base dies using Intel's Foveros Direct 3D technology, whereas lateral connections are enabled by Intel's EMIB bridges.

Intel's 'Darkmont' efficiency cores have received rather meaningful microarchitectural upgrades. Each core integrates a 64 KB L1 instruction cache, a broader fetch and decode pipeline, and a deeper out-of-order engine capable of tracking more in-flight operations. The number of execution ports has also been increased in a bid to improve both scalar and vector throughput under heavily threaded server workloads.

From a cache hierarchy standpoint, the design groups cores into four-core blocks that share approximately 4 MB of L2 cache per block. As a result, the aggregate last-level cache across the full package surpasses 1 GB, roughly 1,152 MB in total. This unusually large pool is intended to keep data close to hundreds of active cores and reduce dependence on external memory bandwidth, which in turn is meant to both increase performance and lower power consumption. Platform-wise, the processor remains drop-in compatible with the current Xeon server socket, so the CPU has 12 memory channels that support DDR5-8000, 96 PCIe 5.0 lanes with 64 lanes supporting CXL 2.0.

A new Android app called Nearby Glasses alerts users when Bluetooth signals from smart glasses are detected nearby. The Android app, called Nearby Glasses, "launches at a time as there is an increasing resistance against always-recording or listening devices, which critics say process information about nearby people who do not give their consent," reports TechCrunch. From the report: Yves Jeanrenaud, who made the app, first spoke to 404 Media about the project and said he was in part inspired to make Nearby Glasses after reading the independent publication's reporting into wearable surveillance devices, including how Meta's Ray-Ban smart glasses have been used in immigration raids and to film and harass sex workers.

On the app's project page, Jeanrenaud described smart glasses as an "intolerable intrusion, consent neglecting, horrible piece of tech." Jeanrenaud told TechCrunch in an email that his motivation came from "witnessing the sheer scale and inhumane nature of the abuse these smart glasses are involved in." Jeanrenaud also cited Meta's decision to implement face recognition as a default feature in its smart glasses, "which I consider to be a huge floodgate pushed open for all kinds of privacy-invasive behavior."

The app works by listening for nearby Bluetooth signals that contain a publicly assigned identifier unique to the Bluetooth device's manufacturer. If the app detects a Bluetooth signal from a nearby hardware device made by Meta or Snap, the app will send the user an alert. (The app also allows users to add their own specific Bluetooth identifiers, allowing the user to detect a broader range of wearable surveillance gadgetry.) Further reading: Meta's AI Display Glasses Reportedly Share Intimate Videos With Human Moderators

At Mobile World Congress, Cristiano Amon of Qualcomm argued that the coming 6G networks will power an AI-driven "agent economy," where devices and AI assistants constantly communicate across the network. "AI will fundamentally change our mobile experiences," Qualcomm chief executive, Cristiano Amon says. "It's going to change how we think about our smartphones. Think about our personal computing. Think about and interact with a car. The car is now a computing surface. If you actually believe in the AI revolution, 6G will be required. Resistance is futile." The company says early consumer testing could begin around the 2028 Los Angeles Olympics, with broader rollouts expected by 2029. Fortune's Kamal Ahmed reports: Akash Palkhiwala is Qualcomm's chief financial officer and chief operating officer. I spent some time with him at the company's stand, as his leading engineers took me through a 6G future where individuals will have real-time information delivered to them via their glasses. Palkhiwala compliments me on my watch, which only does one thing. It tells me the time. "6G is going to be the first time that connectivity and AI come together in the network. What we're building is the first AI-native wireless network that's ever been built," he explains.

"The traffic that we expect on 6G is way different than what we had before," says Palkhiwala. "Before, it was all about consumer traffic. We expect 6G to be driven by [AI] agent traffic. Think about all these use cases where there are AI agents sitting on various devices -- your glasses, your watch, your phone, your PC. These agents are going to be talking back and forth across the network to other agents and services. "The traffic completely changes. 6G is being built with this idea that the traffic that goes on the network is not just going to be consumer voice calls or downloading videos, we're going to have agents talking to each other, so the reliability of the network becomes very important."

On-device capabilities (the ability of your phone to process far more data); edge computing (locally sourced IT technology rather than distant data centers); more efficient use of available bandwidth (AI-enabled load control); and greater cloud access will all come together to produce a new wireless network. [...] "Today we are in the application economy," he notes. "On the phone, you want to make a travel reservation, you go to one application. You want to order an Uber, you go to a second application. You want to order food, you go to a third application, movie tickets, etc. The user has to go through that effort. In the future, you think of the app economy moving over to an agent economy, where there's one agent I'm interacting with, and I can ask that agent to book me a movie ticket or a plane ticket, to order food for me, get an Uber for me. It knows everything about me."

An anonymous reader quotes a report from Engadget: Users of Meta's AI smart glasses in Europe may be unknowingly sharing intimate video and sensitive financial information with moderators outside of the bloc, according to a report from Sweden's Svenska Dagbladet released last week. Employees in Kenya doing AI "annotation" told the journalists that they've seen people nude, using the toilet and engaging in sexual activity, along with credit card numbers and other sensitive information.

With Meta's Ray-Ban Display and other glasses with AI capabilities, users can record what they're looking at or get answers to questions via a Meta AI assistant. If a wearer wants to make use of that AI, though, they must agree to Meta's terms of service that allow any data captured to be reviewed by humans. That's because Meta's large language models (LLMs) often require people to annotate visual data so that the AI can understand it and build its training models.

This data can end up in places like Nairobi, Kenya, often moderated by underpaid workers. Such actions are subject to Europe's GDPR rules that require transparency about how personal data is processed, according to a data protection lawyer cited in the report. However, Svenska Dagbladet's reporters said they needed to jump through some hoops to see Meta's privacy policy for its wearable products. That policy states that either humans or automated systems may review sensitive data, and puts the onus on the user to not share sensitive information.