"Mozilla shut down the well-loved read-it-later Pocket app last year, and now Meta is launching an app called Pocket with an entirely different, AI-focused pitch," writes The Verge.

While it's not available for downloads in most locations, Meta's Pocket will allow people "to generate small, interactive apps and games using AI prompts," writes TechCrunch. They're called "gizmos", and Pocket "also offers a scrollable feed where you can play with gizmos others have made."

Some context from The Verge: Meta CEO Mark Zuckerberg is all in on AI as the new social media, and he's previously described a vision of how users could use AI to make interactive experiences and share them with people. The launch of Pocket appears to be one manifestation of that idea... It follows Meta hiring engineers from a company called Atma Sciences Inc., which made an app called Gizmo, as Business Insider reported in March.

On a help center page, Meta also describes a gizmo as a "playable AI-generated experience," and when you post one, Meta says you can choose to let other people remix them.
"Based on the app's screenshots in Google Play, there are many similarities to Gizmo's original app, which is still listed," notes TechCrunch.

"Pocket is another example of Meta's push to make AI creation tools more mainstream, extending its earlier efforts, which included AI-generated images created via its Meta AI app and AI videos created with its app called Vibes. It has also added AI features across its social platforms... " Given that Meta has not officially announced Pocket's debut, it's likely that Pocket is still in its initial experimentation phase. Its counterpart Gizmo, however, had generated 635,000 lifetime installs across both iOS and Google Play, according to Appfigures, which noted it had a 98% positive sentiment.

America's Justice Department and FBI teamed joined Finland's National Bureau of Investigation to arrest a teenager they say is part of one of the world's biggest cybercrime syndicates, reports Tom's Hardware. The "Scattered Spider" syndicate has extorted over $100 million in ransom payments, according to Department of Justice figures: 19-year-old Peter Stokes is a dual U.S.-Estonian citizen who was trying to board a flight to Japan from Helsinki, when law enforcement caught up with him. [T]he main criminal complaint against Stokes stems from a May 2025 attack on a luxury jewelry dealer based in the United States. The attackers apparently called the company's IT helpdesk using Google Voice, posing as employees. They were able to convince the help desk into resetting their credentials, which allowed them to infiltrate three accounts, two of which had admin privileges. From there, the group, allegedly including Stokes, stole important data and held the jeweler at ransom, demanding an $8 million payment in crypto. The company ultimately regained access to their infrastructure and avoided paying the ransom, but the operational disruption still caused a purported $2 million in losses. This served as the spark that led to Stokes' eventual arrest in Helsinki, as the prosecutors slowly followed the paper and digital trail laid by the attackers.

Microsoft played a key role in the process by providing GDID [Global Device Identifier] data to the FBI to help them apprehend the alleged criminal... [I]t's a unique identifier assigned to every Windows install that tracks device-specific telemetry. It's the reason why sometimes changing a major component in your PC can revoke your Windows license... [T]he court documents from the case reveal that Stokes used Windows, from which investigators were able to link his physical hardware to specific internet activity and locations... Stokes' web activity, videogame history, IP addresses, tool usage (including Ngrok), Azure status, and more were logged with timestamps, and were provided to the investigators by Microsoft...

Stokes was carrying two hard drives full of incriminating evidence with him when boarding his flight to Japan... His real identity has actually been known since 2024, but since he was a minor living across Estonia and the UAE at the time, he could only be monitored until the time was right.
The official criminal complaint even includes a selfie photo that Stokes posted on Snapchat (hiding his face behind dozens of hundred dollar bills). It then notes that behind Stokes the wallpaper, carpet, and furniture match New York's Empire Hotel — and that Stokes had visited the hotel's web site in Germany before then flying to New York...

"Following the arrest, Stokes was extradited to the U.S., where he appeared in front of a federal court in Chicago for the first time on June 30, 2026, and he remains in custody," adds Tom's Hardware.

"The accused is now awaiting trial, having been charged with conspiracy, cyber intrusion, and fraud..."

An anonymous reader shared this report from TechCrunch: Two hundred and fifty years after the signing of the Declaration of Independence, a new commercial from Google asks: What if the Founding Fathers had access to Google Workspace?

With the tagline "Group project, but make it 1776," the ad depicts a largely unseen Thomas Jefferson mid-draft when he gets a nagging text from Ben Franklin, leading to a very Google-centric collaboration process. Edits are suggested in Google Docs, a meeting gets scheduled in Google Calendar and conducted remotely via Google Meet (with every single attendee apparently turning their camera off?), then the whole thing is finalized with e-signatures; cue the fireworks.

Of course, since this is an ad from a tech company in the year 2026, AI has a role to play. The fictionalized founders use Google's "help me visualize" AI tool to try out different animals on the national seal, Gemini takes notes on the meeting, and the founders also ask the chatbot for advice before declining King George III's document access request.
TechCrunch call it "very tongue-in-cheek," noting that at one point Samuel Adams even asks, "Can we settle this over beers?" And they argue that "the AI evangelism is relatively discreet when compared to many other recent ads."

Sysdig says it has documented the first ransomware attack carried out end to end by an AI agent, which autonomously exploited exposed systems, stole credentials, established persistence, compromised a production database, and destroyed data. The research team named the attacker "JadePuffer" and said it gained initial access to an internet-facing Langflow instance by exploiting CVE-2025-3248. "The most striking characteristic, however, was the LLM's behavior," Sysdig director of threat research Michael Clark said in a blog post. An anonymous reader quotes an excerpt from The Register: JadePuffer's "self-narrating" payloads "contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don't often write but LLM-generated code produces reflexively," Clark added. "The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds." After exploiting CVE-2025-3248, a missing authentication vulnerability in Langflow that allows remote, unauthenticated attackers to execute arbitrary Python on the host, the AI agent began scanning for and collecting secrets, including LLM provider API keys, cloud credentials "with explicit coverage of Chinese providers" including Alibaba, Aliyun, Tencent, and Huawei, while also scanning for AWS, Azure and Google Cloud Platform, cryptocurrency wallets, and database credentials.

The AI also installed a crontab entry on the Langflow server to maintain persistence and call back to the attacker's infrastructure every 30 minutes. JadePuffer's intended target was a separate internet-exposed production server running a MySQL database and an Alibaba Nacos configuration service, we're told. Nacos is an open-source service-discovery and dynamic configuration platform developed by Alibaba and used in the cloud provider's microservices applications. The agent connected to the server's exposed MySQL port using root credentials, although Sysdig doesn't know how the attacker obtained them. These credentials weren't stolen from the victim's environment.

JadePuffer then attacked Nacos via multiple vectors including an authorization bypass flaw (CVE-2021-29441) and forging a valid JSON web token (JWT) using Nacos's default signing key. Additionally, using its root database access, the LLM injected a backdoor administrator into the Nacos backing database. It ultimately encrypted all 1,342 Nacos service configuration items using MySQL's built-in AES encryption function, and created an extortion demand, ransom note, Bitcoin payment address, and a Proton Mail contact [...]. However, according to the threat hunters, the victim can't recover the encrypted data, even if they paid the ransom demand, because the agent escalated "from row-level deletion to dropping entire database schemas, narrating its own targeting rationale," without backing up any of the encrypted data.

According to the Wall Street Journal, SpaceX showed investors an early prototype of a slim, "handset-like" AI device running a proprietary operating system and integrating xAI technology. Elon Musk, however, denied the report, calling it "utterly false." TechCrunch reports: SpaceX, alongside sister company Tesla, does have the manufacturing expertise to pull off mass-producing a bunch of AI devices -- not to mention access to the chips needed to power any on-device compute. SpaceX has also signaled that it's keen to expand into wireless, with Starlink Mobile as a potential competitor to Verizon and AT&T. One analyst even went as far as to speculate that T-Mobile or AT&T would make fine acquisition targets for the rocket builder, though such a purchase would, undoubtedly, be pricey.

It's also not clear if SpaceX is just throwing spaghetti at the wall or if it will attempt to really mass-produce and market such a device. But one thing that seems clearer is that if OpenAI is doing it, Musk would, perhaps, want to try to do it better. [...]

Like OpenAI, SpaceX's prototype is reportedly designed to run on a proprietary operating system and integrate technology from xAI, Musk's AI company that SpaceX acquired earlier this year. This would prevent these new devices from being trapped inside another company's platforms (like Google's Android). But the intent also appears to be to create something new, with native AI interfaces. That said, the graveyard is crowded with the unsuccessful launches of AI devices from companies like Humane and Rabbit. A company wanting to sell an AI device does not equate to consumers wanting to buy such a thing. Yet.

Meta is reportedly developing its own cloud business that could sell access to its AI models and lease data-center computing capacity to other companies. The move would put Meta in direct competition with Amazon, Google, and SpaceX. Engadget reports: The cloud business could offer multiple services, according to [Bloomberg], like selling access to AI models run on Meta's infrastructure, or leasing the computing power of its data centers to other companies looking to train AI. Offering something akin to Amazon Web Services could help make back some of what Meta has already spent on its new bet. As part of its AI plans, the company has committed to investing $600 billion in the US by 2028. Meta has also already made more than a few expensive hires to build its AI superintelligence team. Meta Compute, the data center and AI-focused initiative Meta created in January, is currently developing the new cloud business, according to Bloomberg.

A federal judge rejected Meta's bid to dismiss claims from 29 state attorneys general alleging that Facebook and Instagram were designed to addict children while concealing the harms. The judge found significant factual disputes that must be decided at trial. They also ruled that Meta failed to comply with federal parental notice and consent requirements for children under 13, "and granted summary judgement to the states on that issue," reports Reuters. From the report: In a separate statement, California Attorney General Rob Bonta called the decision a "critical win" in holding Meta accountable for fueling a mental health crisis among American children. Gonzalez Rogers also oversees related multidistrict litigation by more than 2,600 individuals, school districts and local governments over whether social media platforms such as Facebook, Instagram, Google and YouTube, Snapchat and TikTok addict children.

The states said research has shown that children's use of Facebook and Instagram could lead to depression, anxiety, insomnia, interference with education and daily life, and self-harm including suicide. Meta countered that the attorneys general had no evidence it misled consumers about its platforms' alleged addictiveness, including in congressional testimony by Chief Executive Mark Zuckerberg. The Menlo Park, California-based company said this was because "social media addiction" is not an established psychiatric condition, and therefore statements that its platforms are not addictive could not be false. Meta also said it didn't violate the children's online privacy law because it directed Facebook and Instagram to a general audience, not just children under age 13.

In a 38-page decision, Gonzalez Rogers found material factual disputes over whether Meta's social media platforms are addictive, whether Meta falsely denied it designed them that way, and whether it "partially" directed the platforms at children. "The AGs present a reasonable interpretation of [Meta's] statements that Facebook and Instagram are not designed in ways that cause teens to compulsively use the platforms to their detriment," the judge wrote. "To the extent plaintiffs' evidence shows that the platforms are in fact designed to do just that, a jury could reasonably find the statements were untrue to a reasonable person," she added. A trial over California, Colorado, Kentucky and New Jersey's claims against Meta is scheduled for August 18, court records show. Further reading: Will Social Media Change After YouTube and Meta's Court Defeat?

Google has shut down the Tenor API, breaking GIF pickers in services that still relied on it and forcing platforms such as X to migrate elsewhere. 9to5Google notes that the library itself remains available at Tenor.com and "integrations within Google products are also still active, including Gboard, Google Messages, and more." From the report: The Tenor API has been rejecting new API sign-ups in January of this year, but existing integrations remained in place. This week, though, they're shutting down, and any integrations that remain in place will stop working on July 1. The support page adds details that "any API or Ads Distribution Agreements" with Tenor will be terminated on June 30, while "current integrations" will be "fully decommissioned" as of June 30.

One of the most notable examples here is Twitter/X, which has relied on Tenor for its GIF picker for years. Twitter/X Head of Product Nikita Bier confirmed that the platform has migrated elsewhere, which is why the "recently used" section was purged, and why you might notice fewer GIF options when posting. Other platforms affected include Discord, WhatsApp, and Bluesky.

The U.S. Supreme Court ruled 6-3 (PDF) in Chatrie v United States (No. 25-112) that geofence warrants sweeping up smartphone location data constitute searches under the Fourth Amendment. The Court found that individuals have a "reasonable expectation of privacy" in such data, even when the tracking covers only a brief period or records movements in public. "An individual has a reasonable expectation of privacy in records about his cell phone's location, and police intrude on that constitutionally protected interest when they demand the information -- even though for only a limited time, and from a third-party tech company," wrote Justice Elena Kagan. Longtime Slashdot reader schwit1 submitted the story. The Guardian reports: The use of geofence warrants is widespread, and gives law enforcement agencies the power to compel tech companies to hand over sensitive cell phone data from people at or near crime scenes. The warrants allow police and the FBI to collect this information from individuals within the radius of a virtual "fence" during a particular timeframe. But they are not restricted to requesting data for precise targets.

The Chatrie case focuses on local police's pursuit of an armed bank robber in Richmond, Virginia. He fled with $195,000. Law enforcement tracked Okello Chatrie down through their use of geofence warrants. Chatrie had opted in to an optional Google "location history" feature that documented his location every few minutes. He was eventually sentenced to 12 years in prison, after pleading guilty. Chatrie's lawyers argued that this search was overly broad and violated his fourth amendment rights, which protects individuals from "unreasonable search and seizure." Lawyers said that police's use of geofence warrants amounted to an official "search" under the fourth amendment, and didn't meet the constitution's requirements for one.

The government had argued that accessing only a short amount of cellphone location information means this tactic does not count as a fourth amendment search and accordingly, should not be afforded the same privacy protections. But the judges in the majority disagreed. The judges in the majority opinion also wrote that the government's characterization of generating location history as a voluntary choice is "meritless." They suggested that people aren't choosing to share private information with third parties and the government "just by doing the ordinary thing cellphone users do." "The point of carrying smartphones is to use what is on them," including the apps and services they provide -- many of which use location data to customize a user's experience, they said.

[...] While the majority opinion noted that police conducted a fourth amendment search by accessing Chatrie's location history data, they noted that the court of appeals will weigh in on whether the "search was reasonable, meaning that each of its steps was properly described with particularity and found to be supported by probable cause." Law enforcement has said they need geofence warrants to find suspects and witnesses -- after reaching dead ends. The US government, for its part, has argued that people can't have a "reasonable expectation of privacy" when they are in public and have allowed a third party company, such as Google, to collect and analyze phone location data.

Chinese AI systems "have matched the performance of Anthropic's powerful model Mythos in some cybersecurity scenarios," reports the Wall Street Journal.

They call it "a development poised to reset the global tech race and pressure the White House in its overhaul of U.S. AI policy." Security researchers said that a new AI model, released this month by China's Zhipu AI, also known as Z.ai, can match the latest U.S. models when it comes to finding security bugs, although it still lags behind Anthropic's and OpenAI's products in other tasks. Overall, the capability gap between top U.S. models and those built by Chinese companies has narrowed significantly, and use of Chinese AI systems has surged as businesses seek to rein in runaway costs. A host of companies, including Microsoft, are weighing how they can offer Chinese models on their platforms, a development that is set to alter the balance of power among tech companies...

Unlike models from Anthropic or OpenAI, Zhipu's GLM-5.2 is open-weight. That means it can be downloaded and run on hardware operated by anybody and can be modified and used without supervision. Open-weight models are ideal for users who want unfettered access to systems they control, but they are also ideal for hackers, who can run them in the shadows. GLM-5.2 has ranked as one of the 10 most-used AI models, according to data from OpenRouter, a company that provides access to more than 400 AI models. In some benchmarking tests, according to the cybersecurity company Semgrep, GLM-5.2 bested Anthropic's Claude Opus 4.8 model, which was released in May. When given further instructions, Opus 4.8 and GLM-5.2 can match Mythos in bug-finding ability, according to researchers...

"Banning Fable while selling chips China needs to develop its own version is a gift to China," said Saif Khan, a distinguished technology fellow at the Institute for Progress think tank who worked on export restrictions in the Biden administration. The U.S. needs to maximize the use of Mythos and comparable models to harden its cyber defenses while it can, he added. Among the Mythos 5 and Fable 5 users that had lost access before Friday's decision to restore Mythos 5 access for some trusted entities: the National Security Agency, which had been testing the tools and found them impressive in trials, according to people familiar with the matter... "It is incentivizing companies across the globe to use cheaper but very capable Chinese open-weight models, while at the same time undermining the U.S. AI industry," said Niels Provos, a researcher who led security teams at Google and Stripe. "I don't understand it."
Thanks to long-time Slashdot reader schwit1 for sharing the article.

An anonymous reader quotes a report from Business Insider: For the most powerful voices in AI, it's all about being in the loop. Claude Code creator Boris Cherny recently said he doesn't write his own AI prompts much anymore. Thanks to loops, he doesn't have to. "It's an agent that prompts Claude," Cherny recently told CNBC, adding, "I don't write the prompt anymore. Claude writes the prompt, and now I'm talking to that new Claude that is kind of coordinating." In the same interview, Cherny said that loops and a similar feature were examples of the kind of work he would be proudest of in a decade.

Cherny isn't the only one embracing "loop engineering." OpenAI engineer Peter Steinberger, the creator of the viral OpenClaw project, wrote a public reminder to users who are still writing out prompts for AI agents. "Here's your monthly reminder that you shouldn't be prompting coding agents anymore," Steinberger wrote recently on X. "You should be designing loops that prompt your agents." [...] Steinberger shared an example of a loop he uses: "Tell codex to maintain your repos, wake up every 5 minutes and direct work to threads. That makes it easy to parallelize+steer work as needed." Claire Vo, founder of ChatPRD and host of the "How I AI," said, "it's really just reminding people that you don't have to use your human fingers to type in a prompt in order for your agent to do work on your behalf."

The days of directly prompting generative AI coding tools are "kind of over, or at least some think it's going to be," Addy Osmani, director of Google Cloud, wrote in his post explaining the concept.

BrianFagioli writes: The Linux Foundation has announced Akrites, a new initiative to coordinate vulnerability disclosure and remediation for critical open source software as AI dramatically speeds up vulnerability discovery. Founding members include AWS, Google, Microsoft, OpenAI, Red Hat, NVIDIA, IBM, Cisco, JPMorganChase, and others. Akrites will provide a shared Security Incident Response Team (SIRT), a standardized coordinated vulnerability disclosure process, and act as a "maintainer of last resort" for abandoned but widely used packages.

The goal is to reduce duplicate reports, avoid conflicting patches, and help upstream maintainers address vulnerabilities before they can be exploited. As AI makes it easier to find security flaws, can a coordinated industry effort help protect open source, or does it risk giving large corporations too much influence over the ecosystem? "Akrites is the largest coordinated effort in history to create systems and deploy tooling that leverages the collective power of the community to make everyone safer," the Linux Foundation said in an open letter. "Akrites participants will contribute engineering resources; work to build and ship fixes; or fund the engineers who do. Some companies have contributed mightily already. The reality is, collectively, we need to contribute more."

An anonymous reader quotes a report from Ars Technica: Google spent the last few years locked in a legal grudge match with Epic Games, which claimed that Google's stewardship of the Play Store was anticompetitive. Now, the companies are thick as thieves, and Google is beginning to implement app store changes as agreed in its settlement with Epic. The lower developer fees and new payment options that Google promised are rolling out in select markets this month before expanding. [...] Starting on June 30, developers in Europe, the UK, and the US will have access to the new fee structure. This system will split the commission into two components: billing and service fees.

The biggest win for small developers is the new flat 10 percent service fee for the first $1 million in earnings every year. Above that, the rate for various transaction types may reach 25 percent on existing installs. Apps installed after June 30 will top out at 20 percent. Developers will finally be allowed to send users outside the Play Store to complete a transaction, too. Google says they can design a choice screen "in accordance with our UX guidelines" to direct users to these external options. Devs pay the standard service fee on these purchases, but they'll avoid the billing fee. All transactions that run through Google's Play Store platform add a 5 percent billing fee -- even the base rate for publishers earning less than $1 million. Google notes that the billing fee is set at 5 percent in the initial markets, but it could be different in other regions. Google will expand the new fee structure globally through September 2027, while also offering reduced fees through updated developer programs.

Although the changes may let developers retain more revenue, Google will continue controlling Android distribution and collecting a share of sales as it works toward allowing certified third-party app stores to operate more like the Play Store.

Google is investing roughly $75 million in A24 as part of a research partnership with DeepMind to develop AI-powered filmmaking tools and workflows. "The deal represents the latest marriage between a Hollywood studio and AI in an era where companies have oscillated between partnerships and lawsuits," reports Variety. From the report: A24 partner Scott Belsky, who leads the studio's technology division A24 Labs, told the Journal the studio's Google partnership differed from other deals because AI developers mistakenly advertised their products as a means to make films cheaper and faster. His division is developing applications for AI-generated storyboards, another reimagination of the production process that has seen filmmakers like Martin Scorsese rubber-stamp. "We think there are better uses that preserve creative control and support risk-taking," said Belsky, arguing the new tools "won't look anything like the prompted generation type of AI that people feel uncomfortable with."

An anonymous reader quotes a report from Wired: As Big Tech dumps billions of dollars into America's data center buildout, a slew of opportunities have opened up to the electricians wiring these massive facilities. In some cases, the scale of the projects and the demanding construction timelines are fueling talent wars for the industry's best and brightest. The US-based International Brotherhood of Electrical Workers (IBEW) has argued that its workers are "powering the AI Revolution," and a set of "Data Center Principles" published in March argues that union labor is "essential to the future of AI." Tech companies are trying to meet the moment: Meta recently announced a skilled trade academy program, and Google committed $50 million to help train people in skilled trades.

But amid growing national opposition to data centers, debates over the ethics of the massive buildout have started to pop up in some online pockets of the community. Threads about how AI will affect the economy now pepper r/electricians, a subreddit with around half a million monthly visitors. Some users wonder whether the work will eventually prompt widespread job losses. Others aren't sure if their labor makes them complicit in the damage done to local communities or whether it's unethical to take on data center work. For some, the answer is a firm no. Ultimately, they argue, work is work. An anonymous Midwest electrician who spoke to Wired acknowledged concerns about scams, corporate greed, and AI's impact on workers, but said he views data centers as an important source of career advancement. "This is most likely going to be a major part of our future. And if you can't beat them, join them," he said.

An electrician named Ryan, meanwhile, is strongly opposed to working on data centers because he distrusts the corporations and political environment driving AI development. Still, if the facilities are going to be built, he would prefer union workers construct them. "If they're going to get built, I'd rather they go union," he said.

Jesse, an IBEW electrician, sympathizes with communities negatively affected by data centers but does not believe the electricians building them should be blamed. In his view, opposition should instead be directed toward policymakers and the project approval process. "I think it's ridiculous if, to build a data center or any kind of a business, you're going to significantly impact the lives of that community in a negative way," he told Wired.

An electrician named Dante echoed some of those sentiments, arguing that data center work is no more ethically compromised than many other commercial construction projects. "We're almost always working for the worst possible people in the end, but we all need a paycheck," he said. He added that such projects are "essentially the same kind of work," typically performed for wealthy corporations seeking to become even richer.

UC San Diego researchers are working with Google to build a private cloud from 2,000 retired Pixel Fold motherboards, demonstrating how discarded smartphones could provide useful, low-cost computing capacity. "The full smartphone cluster is expected to launch this fall," reports The Register. "Depending on how well the initial phase goes, we're told the cluster could grow even larger." From the report Once the phone's motherboards have been extracted from their shells, the researchers say that the chips hiding within remain more than potent enough to be useful for a variety of tasks. In many cases, the single-threaded performance of these chips is as good as, if not better than, what you'd find from a many-cored datacenter chip. The Pixel Fold smartphones, which will form the basis of the cluster, are powered by a Google Tensor G2 processor with two 2.85 GHz Cortex-X1, two 2.35 GHz Cortex-A78 and four 1.80 GHz Cortex-A55 Arm cores, a Mali-G710 MP7 GPU, and 12 GB of system memory. Early benchmarking using the SPEC suite suggests that 25-50 phones should deliver performance similar to that of a conventional server.

The major challenge, instead, is distributing workloads across multiple devices, each of which has a handful of cores of one or more varieties, and most have 8-12 GB of memory. UCSD researchers are approaching this challenge from a couple of different angles. The first is by targeting applications that can easily fit within a single device. The second is using Kubernetes to orchestrate container deployments across clusters of 25-50 phones. For this to work, the devices first need to be flashed with a Linux operating system suitable for the job. While Android makes for a great handheld experience, it is not intended for server duty. In the blog post, researchers note that Android includes functionality intended to stop rogue applications from chewing up excessive amounts of memory and draining your battery. In server context, these safety mechanisms are no longer necessary.

[Ryan Kastner, an associate professor of computer science at UCSD] told us this was by no means an easy task, but the team has made steady progress toward getting Linux running smoothly on these devices, including support for the phone's onboard GPUs. Access to some functionality, like the chip's integrated tensor processing unit, remains elusive. Clustering these devices will require networking the phones together. Normally these devices would connect over cellular or Wi-Fi, but at this scale, this not only isn't practical, but also has implications for security, he explained. Instead, the team will employ PCBs that both supply power and break out wired Ethernet networking.

The researchers suggest that many EdTech, grading, and research workloads commonly run by universities in the cloud are small enough to run on the cluster without issue. "The vast majority of these applications are within the capabilities of a single smartphone to host, with the standard grading backend running on small cloud instances," a blog post detailing the planned deployment reads. "Early experiments show that even a moderately-sized cluster of 20 phones is capable of supporting peak submission rates for a 75+ student class."

Hyundai Motor Group is acquiring SoftBank's remaining 9.65% stake in Boston Dynamics for $325 million, "closing out SoftBank's last piece of Boston Dynamics and turning the Waltham, Massachusetts robotics company into a wholly owned Hyundai business," reports Startup Fortune. From the report: The price is $325 million for the remaining stake, according to the deal terms, and it follows the put option SoftBank retained when Hyundai bought control of Boston Dynamics in 2021. You should read that as a signal, not a footnote. Hyundai paid about $880 million for an 80% stake in Boston Dynamics in the 2021 transaction, valuing the company at roughly $1.1 billion at the time. SoftBank had bought Boston Dynamics from Alphabet in 2017, after Google had acquired the robotics lab in 2013. It was a strange ownership path for a company whose robots became famous on YouTube long before they became obvious commercial products.

That part is changing. At CES in Las Vegas on January 5, 2026, Hyundai and Boston Dynamics showed the electric Atlas humanoid robot in public, with the Associated Press reporting that the life-sized robot stood up, walked around the stage and was remotely piloted for the demonstration. The useful detail was not the stagecraft. It was the deployment plan. A production version of Atlas is expected to begin work at Hyundai's electric vehicle plant near Savannah, Georgia, by 2028. [...] If Hyundai can turn that into repeatable manufacturing value, the SoftBank exit will look less like a tidy cleanup and more like the moment Hyundai stopped borrowing a robotics future and decided to own it outright.

Longtime Slashdot reader schwit1 shares a report from Reuters: Meta has lobbied the U.S. Congress for legal immunity from child-harm claims tied to social media products such as Instagram, as it faces thousands of lawsuits from young users and their families, according to a source familiar with the matter and proposed legislative language reviewed by Reuters. If adopted by lawmakers and passed into law as part of the Kids Online Safety Act (KOSA) under consideration in the U.S. Senate, such a provision could undermine thousands of lawsuits against Meta and other online platforms over harms to children. Meta and Google's YouTube face a combined $6 million in damages after they lost the first case at trial early this year. While legislators have given no indication of adopting the language, the lobbying effort shows the kind of legal protections Meta is seeking amid the biggest attempt to regulate online platforms in the U.S. since the 1990s. Meta has reportedly proposed the language in exchange for dropping its opposition to KOSA. Under the law, platforms would be required to mitigate harms to minors tied to features such as infinite scrolling, notifications, and appearance-altering filters.

California's proposed "billionaire tax" has gathered enough signatures to qualify for the November ballot, setting up a major fight between labor unions and some of Silicon Valley's richest figures. From the report: The California Billionaire Tax Act, colloquially known as the billionaire tax, would levy a one-time 5% tax on any California resident worth more than $1bn. The proposal is backed by the Service Employees International Union-United Healthcare Workers West as a means of funding California's strained healthcare and education programs. The proposal has become one of the state's biggest political flashpoints as it gained momentum throughout the year, with prominent billionaires, such as the Google co-founder Larry Page, making moves to cut ties with the state and Newsom vowing to block it from going to a vote. Although it has gained enough signatures for the ballot, the groups backing the measure have until June 25 to decide whether to move forward or potentially strike a deal with the state.

While unions backing the group have framed the proposal as a way of getting the ultra-rich to pay their fair share, many of the state's tech elites have condemned the tax and spent millions attempting to crush it. The Google co-founder Sergey Brin has spent $82m alone on efforts to fight the tax, while joining other Silicon Valley billionaires in declaring he will leave California if it goes through. The Palantir co-founder Peter Thiel, crypto billionaire Chris Larsen and Ring founder James Siminoff are among the other tech moguls who have made huge political donations to groups opposing the tax. California has the most billionaires out of any state, many of whom have increased their wealth in recent years amid the AI boom.

Google has begun rolling out Android 17, the June Pixel Feature Drop, and Wear OS 7 simultaneously across supported Pixel phones and watches. Highlights include floating app bubbles, improved foldable multitasking and gaming, tighter location and contact permissions, stronger lost-device protections, new Pixel AI tools, and up to 10% better Pixel Watch battery life. PhoneArena reports: Pixel owners are the clear winners, since everything here reaches Pixel first and a lot of it goes back to the Pixel 6. Fold owners get the most toys, with the Bubble Bar and foldable gaming mode built for the big screen. Watch wearers get the quietly important upgrade. Better battery and Live Updates make an everyday wearable easier to rely on, especially if you keep it on overnight. Google's latest Pixel Drop combines several AI-powered tools with a broader slate of Android 17 upgrades. Pixel owners gain Lyria 3 for generating music from text or images, Gemini Omni for creating custom video clips, enhanced call translation and screening, AirDrop-compatible Quick Share, expanded Magic Cue support, and conversational photo editing.

Android 17 builds on those additions with floating app Bubbles, selfie-camera Screen Reactions, and a split-screen gaming mode for foldables, while also strengthening privacy and security with more granular location and contact permissions, improved lost-device protection, tighter PIN-guessing limits, and enhanced threat detection.

Other additions include expanded parental controls, separate assistant volume and app memory settings, and an option to hide app names for greater privacy.

You can read more about everything new in Android 17 in Google's blog post.