NBC News reports:

A group of companies that specialize in tracking international shipments of sensitive technologies is backing a Capitol Hill bill that would require America's most powerful AI chips to incorporate stronger security mechanisms aimed at preventing the chips from reaching China and other adversaries. The letter, signed by six companies, says the Chip Security Act (CSA) would increase American chip companies' competitiveness and close key loopholes in the U.S. export control regime.

The move clashes with claims from semiconductor lobbying groups that the requirements would constrain America's booming chip industry. Sent to congressional leadership Thursday morning and seen by NBC News, the dispatch instead argues that more robust security verification would assure chip customers and manufacturers that they are abiding by sensitive restrictions on chip sales. The companies argue that the boosted confidence will "lead to increased sales, faster export approvals, larger transactions, greater access to new markets, and more expansive chip deals."

Despite U.S. export control laws banning sales of advanced AI chips to certain countries, including China, loopholes in current requirements have allowed billions of dollars' worth of America's best AI chips to be sold to entities in third-party countries that can then forward them to China. In just one case in March, the Justice Department charged three people with conspiring to forward $2.5 billion of AI chips to China. The CSA aims to address those loopholes, mandating that chip exporters better track where advanced chips are sent, via either bespoke location-verification hardware or software that can run on existing hardware. That, bill proponents claim, would ensure that sensitive chips could be sold to countries like Malaysia or Indonesia without fear of further transfer to China... Experts say that because chips perform the advanced computations required for frontier AI systems, cutting off access to the chips is crucial to prevent geopolitical rivals from using AI systems for military or economic purposes.

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Tech Times reports:

Linux 7.2's merge window closed out a cleanup campaign on Friday that most kernel developers had stopped expecting to see end: the complete removal of strncpy(), a C string-copy function that the kernel's own documentation labels "actively dangerous," from every subsystem, driver, and architecture-specific file in the kernel source tree.

The merge landed June 20, 2026. After around 362 commits spread across six years of incremental work, no call site using the function remained, and the function itself — including the last per-CPU-architecture optimized implementations — was struck from the source. The removal matters beyond housekeeping. strncpy() is a persistent source of a specific class of memory error: kernel buffers that contain sensitive data can leak bytes past an unterminated string boundary, a pattern that enables memory disclosure vulnerabilities. Eliminating the function from the tree removes that entire class from the kernel's attack surface — and, critically, makes strncpy() unavailable to any future contributor, turning a best-practice suggestion into an enforced policy.

Phoronix notes it's replaced by five different functions:

In place of strncpy, Linux kernel code should use strscpy() for NUL terminated destinations, strscpy_pad() for NUl-terminated destinations with zero-padding, strtomem_pad() for non-NUL-terminated fixed-width fields, memcpy_and_pad() for bounded copies with explicit padding, or memcpy() for known-length memory copies.

"The reason five functions were needed," explains Tech Times, "is that different parts of the kernel were using strncpy() for five semantically distinct memory operations — each with a different intent, different termination requirement, and different padding behavior. "

The original function obscured all of those differences under a single ambiguous name. The 362-commit campaign to replace it was, in effect, a codebase-wide audit that forced every call site to declare its actual intent in code That is an engineering outcome with lasting value: the kernel's string-handling semantics are now explicit where they were previously implicit, and future maintainers can read a function name and understand what a copy operation actually does.

[ Read more of this story ]( https://linux.slashdot.org/story/26/06/21/1810200/after-six-years-of-work-and-over-360-patches-linux-72-finally-removes-bug-prone-strncpy?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

404 Media remembers how a Florida police office looked up his ex-girlfriend's license plate in the Flock automated license plate reader system at least 69 times in 2024 — even searching for her mom's license plate at least 24 times. The police office was charged with stalking and hacking-related offenses, serving one day in prison with five years of probation — but his case "was not a one-off." [Alternate link via Bruce Schneier]

Local news reports from around the country repeatedly detail police abusing the Flock surveillance system in order to stalk their partners or ex-partners. The contours of each story are much the same, with the police officer in question using their access to the system to repeatedly track a specific person over the course of weeks or months. The cases highlight the fact that Flock can be used to track the whereabouts of individual people, that police do not get a warrant in order to use the system, and that, if they have access to the system, they have the technical ability to look up any license plate they want for any reason they want. An April study by the civil rights group Institute for Justice found that at least 18 police officers have been caught around the country using Flock to stalk a romantic interest in the last few years; another database, called the ALPR Abuse Library, has documented 20 specific cases of "stalking/targeting" around the country.

The known cases of police stalking are almost certainly a vast underreporting of the overall abuse, because they largely include only cases in which the behavior was so egregious that it led to police officers being fired, arrested, or both. Flock told 404 Media that it is "aware of 15 incidents of abuse, each surfaced because of the transparency and accountability features deliberately built into our platform.... There are also 140,000 monthly active users of Flock, so the relatively rare instances of abuse, while obviously wrong and awful, are exactly that — rare," a Flock spokesperson told 404 Media. [One in 10,000.] "Humans are fallible; unlike most tools society provide law enforcement, Flock ensures that in the instances when our technology is misused, the evidence used to hold responsible parties accountable, is right there in our system. We also encourage all our customers to have a usage policy, regular training, and to implement our Audit Assistance tool, which proactively flags unintended use...."

But it is also the case that Flock has strenuously fought against lawsuits and potential regulations that are seeking to require police to get a warrant to use the system. And many cases of abuse have not been detected by police departments themselves but by those private citizens, journalists, and stalking victims who have found patterns of abuse in public records files they have obtained from their local police departments. In most cases of Flock-related stalking reviewed by 404 Media, the abuse occurred over the course of months or years, and the victims were subjected to dozens or hundreds of lookups. Other abuse cases have been discovered using the website HaveIBeenFlocked.com, a website that compiles Flock searches released via public records requests and turns them into a searchable database. Flock has repeatedly tried to get that website taken down, as we have previously reported.

[ Read more of this story ]( https://yro.slashdot.org/story/26/06/21/1939214/cops-keep-getting-arrested-for-using-flocks-cameras-to-stalk-people?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

PC Gamer reports:

The UK government is considering an Australia-style ban on social media for under-16s, with Prime Minister Keir Starmer saying that the ban could take effect as soon as spring next year. As for the much nearer future, Science and Technology Secretary Liz Kendall told BBC Breakfast earlier this week, "We will make further statements in July about VPNs and further restrictions."

To be clear, no specific restrictions have yet been announced and Kendall sounded somewhat cautious about an outright ban during a parliament debate that took place the same day. "I have commissioned further research about their usage. There are really important issues to balance here," she says. "Many people want to use VPNs for privacy — that is important — but we know that some children use them to get around restrictions. I will come back to that in July in our response to the consultation." So, we'll have to wait until next month for anything definite, but it's hard not to feel like a full ban on VPNs is already on the table. If that does come to pass, more than the contents of my Bluesky inbox will be at stake.

Utah in the US has already tried to implement a full VPN ban (though this was postponed until September after Aylo, the parent company of Pornhub, challenged the law in court)... [T]he UK could just be the next domino after Utah, potentially setting off a chain reaction that affects users around the world.

The article also argues that age checks can also be a privacy nightmare "with the security breach that exposed the personal info of 70,000 Discord users last year being one case in point."

Here's the complete statement from UK Technology Secretary Kendall. "I'll come back in July with a further statement around VPNs but also additional measures that we want to look at, further restrictions on AI chatbots that parents have found very worrying, more about overnight curfews or breaks in doomscrolling for 16- and 17-year-olds."

[ Read more of this story ]( https://news.slashdot.org/story/26/06/21/2052213/uk-official-promises-statements-around-vpns-and-further-teen-restrictions-on-chatbots-and-social-media?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Electrek reports:

Tesla wants to sell modular AI data center hardware, according to a new trademark application for a product called "Megapod." The filing describes a complete, self-contained computing system for AI workloads...

Tesla filed the "Megapod" trademark (serial number 99893717) with the U.S. Patent and Trademark Office this month, through its longtime IP counsel. It's an intent-to-use application, meaning Tesla is claiming the name for a product it hasn't launched yet. The goods-and-services description is unusually specific for a trademark. Megapod covers "modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence data processing, networking equipment, power distribution units, and cooling systems." It also covers "self-contained modular computing hardware systems for artificial intelligence workloads," integrated platforms sold as a single unit — an enclosure bundling compute, power distribution, and cooling — and downloadable software to monitor, manage, and optimize those systems.
In plain terms: Tesla wants to sell a turnkey AI data center building block. Not a battery, not a chip on its own, but the full rack-and-room of servers, networking, power, and cooling that AI training and inference run on.

Tesla's offering would have to compete with Nvidia's liquid-cooled, rack-scale systems that simulates a giant GPU, the article points out. But "The bigger issue is that Tesla has no merchant compute-hardware business to build on."

Tesla's own AI training cluster, Cortex at Gigafactory Texas, runs on roughly 67,000 Nvidia H100-equivalent GPUs. In other words, Tesla is one of Nvidia's customers, not a competitor selling alternative hardware... Where Tesla does have a real AI-data-center business is power, not compute. Its Megapack and new Megablock energy storage products are selling into AI data centers as grid buffers — Musk's own xAI has bought roughly $1 billion of Megapacks to keep its training runs powered. That energy-storage strength is the one credible thread here. A Megapod that bundles Tesla's power electronics, thermal management, and the enclosure — the "shell" around the chips rather than the chips themselves — would at least sit adjacent to a business Tesla actually runs.

[ Read more of this story ]( https://hardware.slashdot.org/story/26/06/21/2145245/is-tesla-planning-to-sell-modular-ai-data-center-hardware?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

"There's a revolution in battery technology hiding in plain sight," reports The Wall Street Journal. "The 3-D printing of batteries has the potential to put energy storage inside any device.

"This will enable lightweight and long-lasting consumer gadgets, long-range military drones and even nanoscale robots."
Almost all the innovations we regularly hear about — from cheaper, tougher electric-vehicle batteries to "Holy Grail" solid-state batteries — are about changing the chemistry of batteries. The promise of battery-tech 3-D printing (aka additive manufacturing) is simple: What if batteries could fill any available space, even structural elements of our gadgets, rather than always taking a rigid shape like a pouch or cylinder?

The new approach has obvious appeal. The entire airframe of a drone could be filled with energy storage for increased range. Smartglasses could have sleek battery-packed frames, so they look like everyday eyewear rather than "Revenge of the Nerds" props. One of the biggest advantages of 3-D printing is that it works with any battery, regardless of its cell chemistry. It could advance today's lithium-ion as well as emerging sodium-ion and solid-state tech... Some [startups] are trying to use 3-D printing to create efficiencies in existing battery manufacturing systems. A brave handful of startups are pursuing radical new designs and approaches. They're starting with defense applications, where cost and scale are less of an issue...

At Silicon Valley-based Sakuu... [r]ather than trying to 3-D-print whole batteries, the company is working on replacing one of battery manufacturing's biggest pain points, says Arwed Niestroj, Sakuu's chief operating officer, who is also a nuclear physicist and former head of Mercedes-Benz Research & Development North America. Existing battery assembly lines include football-field-long ovens for drying layers of material that have been dissolved in solvents. This requires a huge amount of energy and is a significant contributor to manufacturing costs, a big reason EV batteries aren't cheaper. Sakuu's process, under development for years, uses additive manufacturing to lay down key battery components without solvents, eliminating the need for ovens, says Niestroj.

Sakuu is currently working to commercialize this tech with a major battery manufacturer...

[ Read more of this story ]( https://hardware.slashdot.org/story/26/06/21/2324220/the-secret-revolution-in-battery-technology-3-d-printing?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

The blog Linuxiac reports:
A new systemd fork has appeared with a specific purpose: removing systemd's recently added support for storing a user's birth date in JSON user records.

The fork, called Liberated systemd, published its first tagged release as v261 shortly after the official systemd 261 release. In other words, the fork follows upstream systemd while reverting the change that added the new optional birthDate field.

Importantly, this is not a new init system, a wider redesign of systemd, or a general-purpose alternative to the upstream project. Its stated purpose is to remain close to upstream systemd while removing what the author describes as "surveillance enablement"... The author recommends testing the fork in a virtual machine before using it on real hardware and warns nightly builds are more likely to be unstable than named releases.

[ Read more of this story ]( https://linux.slashdot.org/story/26/06/22/0144240/someone-forked-systemd-over-its-new-birth-date-field?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

"About 59% of TikTok videos served to a new account's For You feed are AI slop," writes Search Engine Journal, "according to a report from Kapwing, the video creation tool company. That's roughly three times the rate Kapwing found on YouTube."

The company manually reviewed over 10,000 TikTok videos across 20 categories and ran a separate fresh-account test, counting AI-generated content in the first 500 For You videos. Kapwing ran the same fresh-account test on YouTube and found that 104 of the first 500 Shorts, or 21%, were AI slop. On TikTok, 294 of 500 For You videos hit that threshold...

Of the 2,000 videos Kapwing reviewed in TikTok's Kids category, 57% were AI slop. That was the highest rate of any category in the analysis. The highest-rate tag was #cartoonkids, where 97 of 100 featured videos were AI-generated. Tags like #cartoons and #babysong both reached 83%, and #forkids came in at 79%. After Kids, the next highest AI slop rates were in Science and Education (35%), Health (33%), and History (33%). All three are categories where visual illustration and voiceover narration make up much of the content.
On the other end, categories where on-camera presence or physical demonstration are central had the lowest rates. Fashion came in at 1.3%, Music at 1.5%, and Fitness at 1.6%.

The article notes that by last November, TikTok "had already labeled 1.3 billion videos as AI-generated, according to the report."

[ Read more of this story ]( https://tech.slashdot.org/story/26/06/22/028235/tiktok-shows-3x-more-ai-slop-than-youtube-report-finds?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

A private tutor who charged money to take dozens of exams for students and submit coursework for them "has been jailed for three years," reports the BBC, "after his scam earned him £300,000."

Shahid Adnan completed assignments and online tests for more than 120 students at Liverpool John Moore's University, the Crown Prosecution Service said. The 43-year-old, of Lysander Close, Liverpool, was caught in February 2023 after a student handed in a USB drive containing suspicious coursework to Dr Tom Berry of the university's school of computer science and mathematics. Berry's checks revealed the drive was used by Adnan with documents linked to a company he set up called Study Sharp Ltd.

Excel spreadsheets containing details of other students, their study modules, coursework due dates, and their personal login credentials were also found. Further checks confirmed suspicions that Adnan was accessing the university's network to submit fraudulent work and sit examinations on behalf of students... [I]nvestigations led police to believe Adnan may have been doing work for 124 students at universities all over the world.

The BBC also interviewed detective sergeant Adam Dagnall from Merseyside Police's cybercrime unit, who said Adnan was living a lavish lifestyle "well beyond" his stated occupations as a private tutor and Amazon delivery driver. His bank accounts held more than £2m ($2,645,100 USD).

[ Read more of this story ]( https://news.slashdot.org/story/26/06/22/0255256/tutor-who-took-online-tests-for-124-students-jailed-for-three-years?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

America's state prison systems need ways "to keep people from returning to prison," reports the Wall Street Journal, "when an estimated 40% end up back behind bars within three years."

Part of the problem comes in the form of filing cabinets, manila folders and legacy digital databases. In other words, records for a single prisoner might be kept in a dozen places... Now a group of 19 prison systems are tackling the problem with digital tools and artificial intelligence in some cases. They are contracting with San Francisco nonprofit Recidiviz, whose computer systems bring together prisoner data from its disparate sources into digital dashboards. From there, corrections staff can see information — such as court records and notes from parole-board hearings — about a prisoner or parolee all in one place.

The company says its efforts are working: Recidivism has fallen 16% in the prison population its systems track. It is the result of "just streamlining these workflows and knitting someone's journey together end to end," says Clementine Jacoby, chief executive officer of Recidiviz. Some criminal-justice groups show that recidivism is trending downward in general, though most of that data is nearly a decade old... The statistics from 11 states stop at 2019, and for four states stop at 2016. With 10 other states, no data was reported.

[ Read more of this story ]( https://news.slashdot.org/story/26/06/21/2340231/several-us-states-bet-that-ai-can-solve-their-prison-recidivism-crisis?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.