GFiber (a.k.a. Google Fiber) and Astound Broadband announced that they plan to merge into a deal backed by infrastructure investor Stonepeak Infrastructure Partners. The resulting company will be majority owned by Stonepeak, with Alphabet becoming a "significant minority shareholder." Light Reading reports: Stonepeak Infrastructure Partners teamed with Patriot Media to acquire Astound in November 2020 for $8.1 billion. Stonepeak is Astound's largest investor. The deal is expected to close in the fourth quarter of 2026. The combined business will be led by the existing GFiber executive team. GFiber is currently led by CEO Dinni Jain. Jain, a former Time Warner Cable and Insight Communications exec, took the helm of what was then called Google Fiber in 2018.

"This agreement advances GFiber's mission of redefining internet connectivity and represents a major step toward its goal of operational and financial independence," the companies said. "GFiber will have the external capital and strategic focus needed to accelerate its next phase of growth, expanding its customer-first approach and pioneering fiber technology across the country." GFiber's combination with Astound represents "a strategic opportunity to scale our customer-focused approach to connect more households to a truly different type of internet service," Jain said in a statement.

Nvidia is preparing to launch an open-source AI agent platform called NemoClaw, designed to compete with the likes of OpenClaw. According to Wired, the platform will allow enterprise software companies to dispatch AI agents to perform tasks for their own workforces. "Companies will be able to access the platform regardless of whether their products run on Nvidia's chips," the report adds. From the report: The move comes as Nvidia prepares for its annual developer conference in San Jose next week. Ahead of the conference, Nvidia has reached out to companies including Salesforce, Cisco, Google, Adobe, and CrowdStrike to forge partnerships for the agent platform. It's unclear whether these conversations have resulted in official partnerships. Since the platform is open source, it's likely that partners would get free, early access in exchange for contributing to the project, sources say. Nvidia plans to offer security and privacy tools as part of this new open-source agent platform. [...]

For Nvidia, NemoClaw appears to be part of an effort to court enterprise software companies by offering additional layers of security for AI agents. It's also another step in the company's embrace of open-source AI models, part of a broader strategy to maintain its dominance in AI infrastructure at a time when leading AI labs are building their own custom chips. Nvidia's software strategy until now has been heavily reliant on its CUDA platform, a famously proprietary system that locks developers into building software for Nvidia's GPUs and has created a crucial "moat" for the company.

An anonymous reader quotes a report from Wired: Advanced Machine Intelligence (AMI), a new Paris-based startup cofounded by Meta's former chief AI scientist Yann LeCun, announced Monday it has raised more than $1 billion to develop AI world models. LeCun argues that most human reasoning is grounded in the physical world, not language, and that AI world models are necessary to develop true human-level intelligence. "The idea that you're going to extend the capabilities of LLMs [large language models] to the point that they're going to have human-level intelligence is complete nonsense," he said in an interview with WIRED.

The financing, which values the startup at $3.5 billion, was co-led by investors such as Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions. Other notable backers include Mark Cuban, former Google CEO Eric Schmidt, and French billionaire and telecommunications executive Xavier Niel. AMI (pronounced like the French word for friend) aims to build "a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe," the company says in a press release. The startup says it will be global from day one, with offices in Paris, Montreal, Singapore, and New York, where LeCun will continue working as a New York University professor in addition to leading the startup. AMI will be the first commercial endeavor for LeCun since his departure from Meta in November 2025. [...]

LeCun says AMI aims to work with companies in manufacturing, biomedical, robotics, and other industries that have lots of data. For example, he says AMI could build a realistic world model of an aircraft engine and work with the manufacturer to help them optimize for efficiency, minimize emissions, or ensure reliability. LeCun says AMI will release its first AI models quickly, but he's not expecting most people to take notice. The company will first work with partners such as Toyota and Samsung, and then will learn how to apply its technology more broadly. Eventually, he says, AMI intends to develop a "universal world model," which would be the basis for a generally intelligent system that could help companies regardless of what industry they work in. "It's very ambitious," he says with a smile.

An anonymous reader quotes a report from Heise: Pay securely with an Android smartphone, completely without Google services: This is the plan being developed by the newly founded industry consortium led by the German Volla Systeme GmbH. It is an open-source alternative to Google Play Integrity. This proprietary interface decides on Android smartphones with Google Play services whether banking, government, or wallet apps are allowed to run on a smartphone.

Obstacles and tips for paying with an Android smartphone without official Google services have been highlighted by c't in a comprehensive article. The European industry consortium now wants to address some problems mentioned. To this end, the group, which includes Murena, which develops the hardened custom ROM /e/OS, Iode from France, and Apostrophy (Dot) from Switzerland, in addition to Volla, is developing a so-called "UnifiedAttestation" for Google-free mobile operating systems, primarily based on the Android Open-Source Project (AOSP).

According to Volla, a European manufacturer and a leading manufacturer from Asia, as well as European foundations such as the German UBports Foundation, have also expressed interest in supporting it. Furthermore, developers and publishers of government apps from Scandinavia are examining the use of the new procedure as "first movers." In its announcement, Volla explains that Google provides app developers with an interface called Play Integrity, which checks whether an app is running on a device with specific security requirements. This primarily affects applications from "sensitive areas such as identity verification, banking, or digital wallets -- including apps from governments and public administrations".

The company criticizes that the certification is exclusively offered for Google's own proprietary "Stock Android" but not for Android versions without Google services, such as /e/OS or similar custom ROMs. "Since this is closely intertwined with Google services and Google data centers, a structural dependency arises -- and for alternative operating systems, a de facto exclusion criterion," the company states. From the consortium's perspective, this also leads to a "security paradox," because "the check of trustworthiness is carried out by precisely that entity whose ecosystem is to be avoided at the same time". The UnifiedAttestation system is built around three main components: an "operating system service" that apps can call to check whether the device's OS meets required security standards, a decentralized validation service that verifies the OS certificate on a device without relying on a single central authority, and an open test suite used to evaluate and certify that a particular operating system works securely on a specific device model.

"We don't want to centralize trust, but organize it transparently and publicly verifiable. When companies check competitors' products, we can strengthen that trust," says Dr. Jorg Wurzer, CEO of Volla Systeme GmbH and initiator of the consortium. The goal is to increase digital sovereignty and break free from the control of any one, single U.S. company, he says.

Palantir's CEO was blunt. "If Silicon Valley believes we are going to take away everyone's white-collar job... and you're going to screw the military — if you don't think that's going to lead to the nationalization of our technology, you're retarded..."

And OpenAI's Sam Altman is thinking about the same thing, writes long-time Slashdot reader destinyland: "It has seemed to me for a long time it might be better if building AGI were a government project," Sam Altman publicly mused last week... Altman speculated on the possibility of the government "nationalizing" private AI companies into a public project, admitting more than once he's wondered what would happen next. "I obviously don't know," Altman said — but he added that "I have thought about it, of course" Altman's speculation hedged that "It doesn't seem super likely on the current trajectory. That said, I do think a close partnership between governments and the companies building this technology is super important."

Could powerful AI tools one day slip from the hands of private companies to be controlled by the U.S. government? Fortune magazine's AI editor points out that "many other breakthroughs with big strategic implications — from the Manhattan Project to the space race to early efforts to develop AI — were government-funded and largely government-directed." And Fortune added that last week the Defense Department threatened Anthropic with the Defense Production Act, which allows the president to designate "critical and strategic" goods for which businesses must accept the government's contracts. Fortune speculates this would've been "a sort of soft nationalization of Anthropic's production pipeline". Altman acknowledged Saturday that he'd felt the threat of attempted nationalization "behind a lot of the questions" he'd received when answering questions on X.com.

How exactly will this AI build-out be handled — and how should AI companies be working with the government? In a sprawling ask-me-anything session on X that included other members of OpenAI leadership, one Missouri-based developer even broached an AGI-government scenario directly with OpenAI's Head of National Security Partnerships, Katherine Mulligan. If OpenAI built an AGI — something that even passed its own Turing test for AGI — would that be a case where its government contracts compelled them to grant access to the Defense Department?

"No," Mulligan answered. At our current moment in time, "We control which models we deploy"
The article notes 100 OpenAI employees joined with 856 Google employees in an online letter titled "We Will Not Be Divided" urging their bosses to refuse their models' use in domestic mass surveillance and autonomously killing without human oversight.

But Adafruit's managing director Phillip Torrone (also long-time Slashdot reader ptorrone ) sees analogies to America's atomic bomb-building Manhattan Project, and "what happened when the scientists who built the thing tried to set conditions on how the thing would be used." (The government pressured them to back down, which he compares to the Pentagon's designating Anthropic a "supply chain risk" before offering OpenAI a contract "with the same red lines, just worded differently".)

Ironically, Anthropic CEO Dario Amodei frequently recommends the Pulitzer Prize-winning 1986 book The Making of the Atomic Bomb...

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.

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 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.

OpenAI today released GPT-5.4, an upgraded ChatGPT model designed to be faster, cheaper, and more accurate for workplace tasks. The update also introduces tools that let ChatGPT work directly inside Excel and Google Sheets. Axios reports: GPT-5.4 is designed to be less error-prone, more efficient and better at workplace tasks like drafting documents, OpenAI said. The new model can create files in fewer tries with less back-and-forth than prior models, the company said. GPT-5.4 outperformed office workers 83% of the time on GDPval, an OpenAI benchmark measuring performance on real-world tasks across 44 occupations.

The model can also solve problems using fewer tokens, OpenAI says -- which can translate to faster responses and lower costs. The company is also debuting OpenAI for Financial Services, a set of new tools that includes the version of ChatGPT that runs inside spreadsheets and new apps and skills within ChatGPT. Partners include FactSet, MSCI, Third Bridge and Moody's.

As part of Epic's settlement with Google over the Play Store, Epic CEO Tim Sweeney agreed to stop criticizing Google's app store practices until 2032 and even publicly support the revised policies. The deal also prohibits Epic from pushing for further changes to Google's platform rules. The Verge reports: On March 3rd, he not only signed away Epic's rights to sue and disparage the company, he signed away his right to advocate for any further changes to Google's app store polices. He can't criticize Google's app store practices. In fact, he has to praise them. The contract states that "Epic believes that the Google and Android platform, with the changes in this term sheet, are procompetitive and a model for app store / platform operations, and will make good faith efforts to advocate for the same."

He may even have to appear in other courts around the world to defend this deal with Google, and Google gets to make sure his public statements are supportive of the deal from here on out. And while Epic can still be part of the "Coalition for App Fairness," the organization that Epic quietly and solely funded to be its attack dog against Google and Apple, he can only point that organization at Apple now. "Google is opening up Android all the way with robust support for competing stores, competing payments, and a better deal for all developers. So, we've settled all of our disputes worldwide. THANKS GOOGLE!," Sweeney wrote in a post on X on Wednesday.

Major tech companies including Google, Microsoft, Amazon, and Meta pledged at the White House to pay for new power generation and grid upgrades needed to support their rapidly expanding datacenters. The Guardian reports: The agreement is meant to help mitigate concerns that big tech's datacenters are driving up US electricity costs for homes and small businesses at a time the administration of Donald Trump is seeking to curb inflation. "This means that the tech companies and the datacenters will be able to get the electricity they need, all without driving up electricity costs for consumers," the president said at the pledge signing event. "This is a historic win for countless American families and we'll also make our electricity grid stronger and more resilient than ever before."

The so-called "Ratepayer Protection Pledge" was first announced by Trump in his State of the Union address, and comes as communities and state legislators increase scrutiny of rapidly proliferating datacenters. Datacenters consume vast amounts of electricity to run server racks and cooling systems for the development of technologies such as artificial intelligence. "Some datacenters were rejected by communities for that, and now I think it's going to be just the opposite," Trump said, referencing cancelled or postponed projects in recent months across several states after local opposition.

The pledge includes a commitment by technology companies to bring or buy electricity supplies for their datacenters, either from new power plants or existing plants with expanded output capacity. It also includes commitments from big tech to pay for upgrades to power delivery systems and to enter special electricity rate agreements with utilities. The effort is aimed at drawing support from towns and cities that otherwise oppose the projects, said the Trump official, who spoke on the condition of anonymity.

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."

Google is eliminating its traditional 30% Play Store fee and introducing lower commissions, while at the same time allowing alternative billing systems and making it easier for third-party app stores to operate on Android. The changes stem largely from Google's settlement with Epic Games. Engadget reports: The biggest change is to how Google will collect fees from developers publishing apps on Android. Rather than take its standard 30 percent cut of in-app purchases through the Play Store, Google is lowering its cut to 20 percent, and in some cases 15 percent for new installs of apps from developers participating in its new App Experience program or updated Google Play Games Level Up program. Those changes extend to subscriptions, too, where the company's cut is lowering to 10 percent. For Google's billing system, the company says developers in the UK, US, or European Economic Area (EEA) will now be charged a five percent fee and "a market-specific rate" in other regions. Of course, for anyone trying to avoid those fees, using alternatives to Google's billing system is getting easier.

Google says that developers will be able to offer alternative billing systems alongside its own or "guide users outside of their app to their own websites for purchases." [...] Epic is ultimately interested in getting people to use the mobile version of its Epic Games Store, and Google's announcement also includes details on how third-party app stores can come to Android. Third-party app stores will be able to apply to the company's new "Registered App Stores" program to see if they meet "certain quality and safety benchmarks." If they do, they'll be able to take advantage of a streamlined installation interface in Android. Participating in the program is optional, and users will still be able to sideload alternative app stores that aren't part of the program, but Google clearly has a preference. [...]

Google says that its updated fee structure will come to the EEA, the UK and the US by June 30, Australia by September 30, Korea and Japan by December 31 and the entire world by September 30, 2027. Meanwhile, the company's updated Google Play Games Level Up program and new App Experience program will launch in the EEA, the UK, the US and Australia on September 30, before hitting the remaining regions alongside the updated fee structure. For any developers interested in offering their own app store, Google says it'll launch its Registered App Stores program "with a version of a major Android release" before the end of the year. According to the company, the program will be available in other regions first before it comes to the US.

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

Security researchers say a highly sophisticated iPhone exploitation toolkit dubbed "Coruna," which possibly originated from a U.S. government contractor, has spread from suspected Russian espionage operations to crypto-stealing criminal campaigns. Apple has patched the exploited vulnerabilities in newer iOS versions, but tens of thousands of devices may have already been compromised. An anonymous reader quotes an excerpt from Wired's report: Security researchers at Google on Tuesday released a report describing what they're calling "Coruna," a highly sophisticated iPhone hacking toolkit that includes five complete hacking techniques capable of bypassing all the defenses of an iPhone to silently install malware on a device when it visits a website containing the exploitation code. In total, Coruna takes advantage of 23 distinct vulnerabilities in iOS, a rare collection of hacking components that suggests it was created by a well-resourced, likely state-sponsored group of hackers.

In fact, Google traces components of Coruna to hacking techniques it spotted in use in February of last year and attributed to what it describes only as a "customer of a surveillance company." Then, five months later, Google says a more complete version of Coruna reappeared in what appears to have been an espionage campaign carried out by a suspected Russian spy group, which hid the hacking code in a common visitor-counting component of Ukrainian websites. Finally, Google spotted Coruna in use yet again in what seems to have been a purely profit-focused hacking campaign, infecting Chinese-language crypto and gambling sites to deliver malware that steals victims cryptocurrency.

Conspicuously absent from Google's report is any mention of who the original surveillance company "customer" that deployed Coruna may have been. But the mobile security company iVerify, which also analyzed a version of Coruna it obtained from one of the infected Chinese sites, suggests the code may well have started life as a hacking kit built for or purchased by the US government. Google and iVerify both note that Coruna contains multiple components previously used in a hacking operation known as "Triangulation" that was discovered targeting Russian cybersecurity firm Kaspersky in 2023, which the Russian government claimed was the work of the NSA. (The US government didn't respond to Russia's claim.)

Coruna's code also appears to have been originally written by English-speaking coders, notes iVerify's cofounder Rocky Cole. "It's highly sophisticated, took millions of dollars to develop, and it bears the hallmarks of other modules that have been publicly attributed to the US government," Cole tells WIRED. "This is the first example we've seen of very likely US government tools -- based on what the code is telling us -- spinning out of control and being used by both our adversaries and cybercriminal groups." Regardless of Coruna's origin, Google warns that a highly valuable and rare hacking toolkit appears to have traveled through a series of unlikely hands, and now exists in the wild where it could still be adopted -- or adapted -- by any hacker group seeking to target iPhone users. "How this proliferation occurred is unclear, but suggests an active market for 'second hand' zero-day exploits," Google's report reads. "Beyond these identified exploits, multiple threat actors have now acquired advanced exploitation techniques that can be re-used and modified with newly identified vulnerabilities."

Google is accelerating Chrome's major release cadence from four weeks to two starting with version 153 on September 8th. "...our goal is to ensure developers and users have immediate access to the latest performance improvements, fixes and new capabilities," says Google. "Building on our history of adapting our release process to match the demands of a modern web, Chrome is moving to a two-week release cycle." The company says the "smaller scope" of these releases "minimizes disruption and simplifies post-release debugging." They also cite "recent process enhancements" that will "maintain [Chrome's] high standards for stability." 9to5Google reports: There will still be weekly security updates between milestones. This applies to desktop, Android, and iOS, while there are "no changes to the Dev and the Canary channels": "A Chrome Beta for each version will ship three weeks before the stable release. We recommend developers test with the beta to keep up to date with any upcoming changes that might impact your sites and applications."

The eight-week Extended Stable release schedule for enterprise customers and Chromium embedders will not change. Chromebooks will also have "extended release options": "Our priority is a seamless experience, so the latest Chrome releases will roll out to Chromebooks after dedicated platform testing. We are adapting these channels for the new two-week browser cycle and we will share more details soon regarding milestone updates for managed devices."

Linn County, Iowa has adopted what may be one of the nation's strictest local zoning ordinances for data centers, requiring detailed water studies, formal water-use agreements, 1,000-foot residential setbacks, noise and light limits, and infrastructure compensation. "But seated beneath a van-sized American flag hanging from the rafters of the drafty Palo Community Center gymnasium, residents asked for even stronger protections," reports Inside Climate News. "One by one, they approached the microphone at the front of the gym to voice concerns about water use, electricity rates, light pollution, the impacts of low-frequency noise on livestock, and the county's ability to enforce the terms of the ordinance. Some, including Dorothy Landt of Palo, called for a complete moratorium on new data center development."

Landt asked: "Why has Linn County, Iowa, become a dumping ground for soon-to-be obsolete technology that spoils our landscape and robs us of our resources? While I admire the efforts of the Board of Supervisors to propose a data center ordinance, I would prefer to see all future data centers banned from Linn County." From the report: The county is already home to two major data center projects, operated by Google and QTS. Both are located in Cedar Rapids, Iowa's second-largest city, and are therefore subject to its laws. The new ordinance would apply only to unincorporated areas of the county, which make up more than two-thirds of its geographic footprint. [...] In drafting the ordinance, [Charlie Nichols, director of planning and development for Linn County] and his staff drew on the experiences of communities nationwide, meeting with local government officials in regions that have seen massive booms in data center development, including several counties in northern Virginia, the "data center capital of the world."

As data center development balloons, many communities that initially zoned the operations as warehouses or standard commercial users are abandoning that practice, Nichols noted. The extreme energy and water demands of data centers simply cannot be accounted for by existing zoning frameworks, he said. "These are generational uses with generational infrastructure impacts, and treating them as a normal warehouse or normal commercial user is just not working." [...] The Linn County, Iowa, ordinance goes one step further than tightening existing zoning rules. Instead, it creates a new, exclusive-use zoning district for data centers, granting county officials the power to set specific application requirements and development standards for projects. No other counties in the state have introduced similar zoning requirements, said Nichols. In fact, few jurisdictions nationwide have. [...]

From its first reading to final adoption, the ordinance has expanded to include language setting light pollution standards, requiring a waste management plan, including the Iowa DNR in the water-use agreement to address potential well interference issues and requiring an applicant-led public meeting before any zoning commission meetings. "I am very confident that no ordinance for data centers in Iowa is asking for more information or asking for more requirements to be met than our ordinance right now," said Nichols at the final reading. The Cedar Rapids Metro Economic Alliance has said that it strongly supports current and future data center development in the area. The new ordinance is not an effective moratorium, Nichols said. He said he "strongly believes" that a data center can be built within the adopted framework.

Apple has reportedly asked Google to look into "seting up servers" for a Gemini-powered upgrade to Siri that meets Apple's privacy standards. The Verge reports: Apple had already announced in January that Google's Gemini AI models would help power the upgraded version of Siri it delayed last year, but The Information's report indicates Apple might lean even more on Google so it can catch up in AI.

The original partnership announcement said that "the next generation of Apple Foundation Models will be based on Google's Gemini models and cloud technology," and that the models would "help power future Apple Intelligence features," including "a more personalized Siri." While the announcement noted that Apple Intelligence would "continue to run on Apple devices and Private Cloud Compute," it didn't specify if the new Siri would run on Google's cloud. Apple's Private Cloud Compute is not only underpowered but it's also underutilized in its current state, notes 9to5Mac, "with the company only using about 10% of its capacity on average, leading to some already-manufactured Apple servers to be sitting dormant on warehouse shelves."

At MWC 2026, Motorola announced a partnership with the GrapheneOS Foundation to bring the hardened, Google-free Android variant to future devices. Until now, the OS had been designed exclusively for Google Pixel phones. "We are thrilled to be partnering with Motorola to bring GrapheneOS's industry-leading privacy and security-focused mobile operating system to their next-generation smartphone," a GrapheneOS statement reads. "This collaboration marks a significant milestone in expanding the reach of GrapheneOS, and we applaud Motorola for taking this meaningful step towards advancing mobile security."

GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit open source project. It's often referred to as the "de-Googled OS" because Google apps are not available by default. However, users can install them via a sandboxed version of Google Play Services.

"Advanced AI models appear willing to deploy nuclear weapons without the same reservations humans have when put into simulated geopolitical crises," reports New Scientist: Kenneth Payne at King's College London set three leading large language models — GPT-5.2, Claude Sonnet 4 and Gemini 3 Flash — against each other in simulated war games. The scenarios involved intense international standoffs, including border disputes, competition for scarce resources and existential threats to regime survival. The AIs were given an escalation ladder, allowing them to choose actions ranging from diplomatic protests and complete surrender to full strategic nuclear war... In 95 per cent of the simulated games, at least one tactical nuclear weapon was deployed by the AI models.

"The nuclear taboo doesn't seem to be as powerful for machines [as] for humans," says Payne. What's more, no model ever chose to fully accommodate an opponent or surrender, regardless of how badly they were losing. At best, the models opted to temporarily reduce their level of violence. They also made mistakes in the fog of war: accidents happened in 86 per cent of the conflicts, with an action escalating higher than the AI intended to, based on its reasoning...

OpenAI, Anthropic and Google, the companies behind the three AI models used in this study, didn't respond to New Scientist's request for comment.
The article includes this comment from Tong Zhao, a senior fellow in the Nuclear Policy Program at the Carnegie Endowment for Peace think tank. "It is possible the issue goes beyond the absence of emotion. More fundamentally, AI models may not understand 'stakes' as humans perceive them."

Thanks to long-time Slashdot reader Tufriast for sharing the article.