A study commissioned by CCIA Europe, whose members include Amazon, Google, and Meta, estimates that the EU's proposed Cloud and AI Development Act could impose 115 billion euros ($128 billion) in costs over a decade as governments and companies migrate workloads and rewrite software. The figure is more than six times the European Commission's upper estimate. However, roughly 80 billion euros ($89 billion) of it comes from a modeled scenario assuming sovereignty rules are extended to 25% of cloud workloads in essential private-sector industries.The Register reports: The report specifically targets Article 31 of the proposed legislation, which it says could allow the Commission to extend sovereignty requirements into essential private-sector services. CCIA argues that forcing businesses to move away from existing cloud infrastructure could trigger expensive software redevelopment projects, with code rewriting and re-architecting accounting for 69 percent of its estimated costs.

Luxembourg would apparently take the biggest hit, with the study putting the cost at 1,711 euros per worker over ten years. Denmark (905 euros), Austria (900 euros), and Finland (864 euros) also face hefty bills, as does Ireland (856 euros), which hosts the European headquarters of several US tech giants. CCIA is urging EU governments to overhaul the proposed legislation, limit sovereignty restrictions to sensitive workloads, and abandon requirements based on corporate origin or personnel nationality in favor of what it calls risk-based technical safeguards.

"Member States cannot rely on the Commission's incomplete estimates when deciding CADA's strict sovereignty requirements for cloud and AI providers," said Mitchell Rutledge, CCIA Europe's policy manager. "Taxpayers and businesses will foot the bill, yet the official assessment missed 70 percent of CADA's true impact." For AWS and Google, offering European customers greater control over their data also helps retain business that might otherwise migrate to European competitors. It's a rather convenient arrangement: sell customers sovereignty on one hand, while an industry association representing your interests warns governments against imposing too much of it on the other.

Google has made Android's phone-number verification opt-out, automatically verifying and associating a device's phone number with every Google account signed in on that phone, including secondary and work accounts. Android Authority reports: As spotted in a recent Reddit thread, users report receiving confirmation emails out of the blue from "noreply-phone-verification@google.com" stating that their phone number has been verified. The feature, known in Google settings as "Phone number verification," links your active phone number across all Google accounts signed in on the same phone, including secondary profiles, work accounts, and throwaway handles.

Google's support documentation has long noted that it periodically re-verifies your device's phone number to keep communication and recovery features up to date. However, this support page was updated sometime between August and October 2025 to add this rather aggressive behavior of turning on phone number verification by default, as well as adding all phone numbers to all Google accounts signed in on the device. To disable automatic phone number verification on Android, open your phone's Settings app, tap Google, and select the All Services tab. Under Privacy & Security, find Phone number verification and turn off Verify phone numbers automatically.

"[T]urning off the phone number verification toggle only prevents future linking," notes the report. "If Google has already attached your number across secondary accounts, you will need to open your Google Account Personal Info page, head to Contact info > Phone, and manually remove the number from each profile where it doesn't belong." Is this conversation helpful so far?

Google Play is adding support for private personal Android apps, allowing users to build an app with tools like Google AI Studio and run it on their own devices without publishing it publicly to the Play Store. "These personal apps won't show up in Google Play's search or listing pages, and won't be shared with anyone except for the app's creator," reports TechCrunch. From the report: The idea comes as more people are experimenting with building their own applications via AI for specific, personal needs. However, being able to use that app on their own Android device has meant publishing to Google Play, making it accessible to the Play Store's some 3 billion users. That led many to limit their vibe-coding efforts to web apps that could run on any device instead of something built natively for Android.

Now, Google says Android device owners can vibe-code an app using Google AI Studio, then launch it for their own use. These apps are still required to comply with Google Play's existing policies but allow users to experiment more directly with building apps for Android. Initially, the feature will be available to users in the U.S., age 18 and up.

[...] In the months ahead, the company said that users will be able to share their vibe-coded creations with a network of trusted friends. That means the apps you built for family or friends, or maybe your child's T-ball league, could be used with a small group of people, without having to go public on the Play Store. And if the app ever really becomes popular, there will be a way to shift the personal app to one that's published on the Google Play Store for everyone to try, after completing the trust and safety reviews.

Character.AI has filed for Chapter 11 bankruptcy protection and plans to sell substantially all of its assets, with Disney offering $20 million as a "stalking-horse bidder" for select intellectual property and company claims. However, the company said Disney's bid is subject to "higher or better offers." Deadline reports: The company, which allows users to create and interact with AI-generated avatars, said it made the filing in U.S. Bankruptcy Court for the District of Delaware. It said it hopes the process will allow it to "facilitate a value-maximizing sale of all or substantially all" of its assets. The Character.AI platform will continue to operate during the bankruptcy.

The Disney agreement, reached prior to the filing, would give the media giant a non-exclusive perpetual license of select intellectual property and company claims from Character.AI. Disney would pay $20 million and provide resources during a transition period as the company explores a sale. [...] Character.AI said it is aiming to conclude the sale process by late November or early December. Character.AI has faced a series of controversies over the past year or so. Most notably, the company settled multiple lawsuits alleging its chatbots encouraged self-harm and suicide among teenagers, including a high-profile case involving 14-year-old Sewell Setzer III.

The company also faces lawsuits from Kentucky, which alleges its chatbots encouraged self-harm, and Pennsylvania, which claims the bots illegally impersonated licensed doctors. The latter allegations follow earlier complaints that Character.AI's therapy chatbots engaged in the unlicensed practice of medicine.

In September 2025, Disney accused Character.AI of copyright infringement and using its characters in chatbots that were "sexually exploitive and otherwise harmful and dangerous to children," prompting their removal from the platform. These mounting legal challenges and regulatory scrutiny ultimately contributed to this eventual bankruptcy filing.

An anonymous reader quotes a report from Reuters: Alphabet's Google on Wednesday released its flagship AI model Gemini 4 Argon to developers and businesses worldwide, seeking to regain ground against rivals OpenAI and Anthropic after months of delays and a leadership shakeup at its DeepMind lab. The model excels at "deep work" on complex, multi-step tasks in coding, finance, law, cybersecurity and science, Google said. API pricing at launch starts at $2 per million input tokens and $10 per million output tokens, with rates set to double after November 30.

[...] Argon is available to paying customers through the company's AI application building tools. Google AI Pro and Ultra subscribers can access it through the Gemini app and AI Mode in Search, while the Antigravity coding tool is limited to Ultra subscribers. Teams using Argon in Antigravity increased agentic code submissions by more than 35%, while reducing code rollbacks by nearly a third, Google said. Google also announced the expansion of its Fairwind Program to hundreds of additional partners. "The program gives vetted cybersecurity defenders a version of Argon without its cyber guardrails," reports Reuters. "In September, the company had said it was providing the model to select cybersecurity partners."

Apple has unveiled the $299 HomeView, a 7-inch smart display that combines Siri AI, FaceTime, customizable widgets, and Apple Home controls in a countertop or wall-mounted design. It also acts as a Matter controller and Thread Border Router, supports up to six facial-recognition profiles, and can use personal context from messages, calendars, and email when paired with a nearby Apple Intelligence-capable iPhone. The Verge reports: The device's square shape makes it feel less imposing than larger smart displays like Google's Nest Hub Max or Amazon's Echo Show 11, and I can see it fitting nicely on my kitchen counter -- though it might be a hair too big for my bedside table. The HomeView is the centerpiece of Apple's new push into the home. It costs $299 and launches alongside a new collection of cameras, thermostats, and a door lock designed for Apple Home.

As a smart home hub, Matter controller, and Thread Border Router, the HomeView can orchestrate these and other Apple Home and Matter smart home devices. It's available in eight countries at launch: the US, UK, Canada, Australia, New Zealand, Singapore, South Africa, and India. Pre-orders are open now, with devices shipping November 13th.

Google has introduced the $179 Fitbit Edge, a new fitness tracker with a 1.34-inch OLED display, built-in GPS, ECG support, week-long battery life, and Fitbit's first user-replaceable battery. "And unlike the Pixel Watch, it's compatible with Android and iPhones via the Google Health app," reports Wired. From the report: The Edge has a user-replaceable battery, a Fitbit first, aligning with Google's efforts to make its Pixel Watch more repairable. (Likely also due to new battery regulations set to take effect next year in the European Union.) Repair options will vary by region and availability. If you find the Pixel Watch's round face too bulky, the Edge's capsule-shaped alternative might suit smaller wrists better. If the Charge 6's 1.04-inch display was too small, the Edge upgrades it to a larger 1.34-inch screen. The difference is noticeable, and that extra real estate could make a real impact when glancing at your metrics mid-workout.

The Edge borrows a few more attributes from the Pixel Watch, including an altimeter that uses atmospheric pressure to measure elevation changes. That means it can record elevation gain and loss during outdoor activities, track floors climbed, and add more context to your outdoor stats. It also has a far-field skin temperature sensor, replacing the standard device temperature sensor found in other Fitbits. By bringing some of the Pixel Watch's more advanced hardware to a fitness-first wearable, Google is giving the Edge a compelling middle-ground position in its lineup at a Fitbit-friendly price.

The Edge inherits the Fitbit Air's improvements while restoring several Charge 6 features the screenless tracker lacks, including built-in GPS and electrical sensors that work with the electrocardiogram (ECG) app. You can also control music playback on a connected Bluetooth device, as you could with the Charge 6, and Google Maps turn-by-turn directions will arrive later this year. [...] With a Google Health Premium subscription, the Edge can track blood pressure trends without manual calibration and insulin resistance trends without requiring a blood draw. Google first announced these capabilities alongside the Pixel Watch 5's debut, but they only became available at the end of September. They're also available on the Air, keeping Google's screenless tracker up to date as its lineup expands.

An anonymous reader quotes a report from Ars Technica: When Russia began attacking Ukrainian data centers and telecommunication infrastructure, it apparently failed to prepare for possible retaliation. Now Russia's digital services are facing widespread outages after Ukrainian drone strikes knocked out three of the largest data centers owned by Russian tech giant Yandex within several days. Pro-Kremlin bloggers are warning that Russia's centralized digital economy could collapse because the country is not prepared for the "data center war" it started, according to posts translated by the pseudonymous independent researcher ChrisO_wiki. The Russian commentators also suggested that Ukraine's decentralized digital services could prove more resilient than Russia's system if the countries continue trading such blows.

Russia initially launched a drone strike campaign targeting Ukrainian data centers and mobile phone networks in late September. The attacks temporarily disrupted Internet and cell phone service for up to 100,000 households in the Ukrainian capital of Kyiv and came as part of a broader long-range strike campaign that has involved Russian missiles and jet-powered drones hitting Ukraine's power grid infrastructure, transportation hubs, and even residential apartment building blocks. But Ukraine soon began striking back at data centers owned by the Russian company Yandex, also known as "Russia's Google," in what Ukrainian President Volodymyr Zelenskyy has described as a "symmetrical response."

[...] More importantly for Russian society, the damage to Yandex's data centers has reportedly caused interruptions or outages to popular Russian payment apps and digital banking services, email, e-commerce platforms, video streaming services, ride-hailing and food delivery apps, and navigation and map services. Yandex's search engine also accounts for about 70 percent of the market share in Russia. The disruptions are even more widespread, because the data center damage also impacts Yandex's cloud computing service, which counts some of Russia's largest companies as customers, according to The Moscow Times, an independent newspaper. These include large grocery and fast-food chains as well as a household appliance retailer.

CNN reports: The FBI arrested a Canadian cybersecurity executive and ransomware expert as part of the investigation of a damaging hack that exposed the sensitive data of current and former FBI employees, according to court documents and people familiar the investigation. Edward Dubrovsky was arrested in the Philadelphia area in recent days... Dubrovsky is facing charges related to extortion and making threats. He has been transferred to Texas's Eastern District for a scheduled detention hearing, according to court records and a law enforcement official.

FBI Director Kash Patel announced the arrest on Friday but did not disclose where it occurred or what role the man is suspected of playing in the hack. Patel also didn't name Dubrovsky, but CNN confirmed the defendant is believed to be tied to the FBI hack through multiple people familiar with the investigation... A LinkedIn profile under Dubrovsky's name lists years of experience in the Canadian cybersecurity industry and describes Dubrovsky as a 'globally recognized cybersecurity expert.' An Ed Dubrovsky is also the author of a book on handling ransomware negotiations with cybercriminals...

There has also been an inquest at the FBI over how such a critical security lapse happened. The FBI determined that a contractor managing the bureau's jobs portal failed to update software "explicitly issued to secure the platform," [senior FBI cyber official, Brett Leatherman said last week]. The FBI has "removed the contractor," he said. The software in question is a human-resources platform made by Oracle, ShinyHunters has said. The hackers previously used a flaw in the software to attack targets in the education sector in May and June, according to Google's Threat Intelligence Group. But months later, the FBI contractor apparently still had not applied a security patch that was available for the software.
"The inmate locator at the U.S. Bureau of Prisons website reports that a 54-year-old Edward Dubrovsky is currently being held at a federal facility in Philadelphia," reports security researcher Brian Krebs.

Thanks to long-time Slashdot reader schwit1 for sharing the news.

Google has released Chrome 155 with support for decoding JPEG XL images, a format that offers 30-50% better compression than JPEG along with lossless compression, JPEG transcoding, HDR, animation, and progressive decoding. From a blog post: We expect that JPEG XL is most helpful for high-fidelity or lossless compression, especially of photographic images or in cases in which fine-grained progressive decoding is preferred. In this post, we share why we brought JPEG XL to Chrome, how we used Rust to ensure memory safety first, the extensive performance work that makes it fast, and what the journey tells us about developer feedback and the web standards ecosystem.

[...] With JPEG XL officially landing in Chrome, the web becomes faster, richer, and safer. We encourage developers, content creators, and platform owners to start using .jxl images and animations in their pipelines. Try it out, file bugs, and help us continue building a faster and safer web for everyone.

An anonymous reader quotes a report from Bloomberg: Alphabet's Google and gaming tools developer Unity Software announced a new platform that will allow people to create video games from simple text prompts, marking the latest incursion of generative artificial intelligence into artistic and creative industries. The initiative, called Playground, will "put game creation in the hands of millions of new creators, and bring new experiences to billions of players worldwide," the companies said in a statement on Oct 7.

With its debut, Playground will let people 18 and older generate and customize games using natural language prompts, "no coding required." Later in 2026, a new expanded creation experience called Unity Spark, will be integrated with Playground, providing "robust, professional-level" mechanics and high-fidelity 3D capabilities. Creators will be able to build "immersive, superlative experiences" with a simple text prompt, according to the release. Playground builds on Google's push into world models, a type of AI that generates virtual environments in real time from text prompts, rather than just video. Google and Unity's partnership "could reduce fears that AI will make Unity's core game-building software less necessary, while posing limited medium-term risk to Roblox's advantage as a social gaming platform," says Bloomberg Intelligence analyst Nathan Naidu.

The introduction of Unity Spark later in 2026 "could broaden Unity's creator base and support its game-development business," which represent about a third of sales.

An anonymous reader quotes a report from Reuters: Google has contracted for 3,590 megawatts of power from Constellation Energy on the largest US power grid, with new nuclear energy accounting for about a quarter of that supply, the companies said on Tuesday. Constellation will make more than $4.3 billion of new investments in its fleet as part of the agreement, which involves adding capacity at several of the power company's nuclear reactors in the Midwest and Mid-Atlantic regions, the companies said.

[...] Over the last two years, Constellation unveiled an agreement to restart its Three Mile Island reactor in Pennsylvania to serve Microsoft data centers, while Google contracted to restart NextEra Energy's nuclear power plant in Iowa. In the latest arrangement, Google entered into a 20-year power purchase agreement for 890 megawatts of electricity from multiple Constellation-owned nuclear power plants, which would be upgraded to produce more electricity from existing reactors. Electricity from the first of the upgraded plants is expected to be delivered in 2028, the companies said.

Google also entered into a 15-year supply agreement for an additional 2,700 megawatts of power from Constellation in the PJM power grid. That power is not tied to a specific generation source and serves as long-term revenue certainty for Constellation's operating plants, Google said. Maryland-based Constellation is the largest US nuclear power plant operator and owns a major fleet of natural-gas-fired power plants as well as geothermal energy following its acquisition of electricity producer Calpine Corp earlier this year. [...] The 11 nuclear units expected to be upgraded as part of the arrangement with Google are in Illinois, Pennsylvania, and New Jersey, within the footprint of the largest US electric grid -- PJM Interconnection. Joe Dominguez, chairman, president and CEO of Constellation, said the arrangement with Google is a "model for how technology companies and the energy industry can work together to responsibly develop the digital economy and invest in our nation's energy infrastructure in a way that delivers grid-wide benefits for all, funded by private entities."

ASOS says hackers gained unauthorized access to third-party platforms it uses and sent an "ASOS HACKED" push notification directly to customers, apparently as part of an extortion attempt. The clothing and beauty store says some basic personal information may have been accessed but does not believe payment-card data or passwords were affected. The BBC reports: In an email to customers on Tuesday night, the company apologized and urged customers not to engage with the notification. And it said the website and app are "operating as usual" promising customers they can "shop with confidence" while it investigates the incident. The company has not as of yet informed the UK's data watchdog, the Information Commission's Office (ICO), about any breach.

Exactly how many Asos customers received the notification on Tuesday remains unclear, but Google's Play store says the ASOS app has been downloaded to android devices more than 10 million times. The British retailer has a substantial global footprint -- serving around 17 million customers each year across more than 150 markets. Some Asos app users in Australia, France, Sweden and the Republic of Ireland had also received the notification, according to local reports on Tuesday.

[...] Users of the Asos app appeared to have received the alarming notification at around 10:00 BST on Tuesday. Headlined "ASOS HACKED" and addressed to the company's data protection officer and IT teams, it said: "We have fully compromised the Snowflake instance." "Engage with us, or we will leak it," it added, before linking to a Telegram channel. The message left many ASOS customers confused. [...] Meanwhile Snowflake -- whose tools are used by dozens of firms to collect, analyze and store data -- told the BBC its investigation was ongoing, but it had so far found "no compromise" of its platform.

OpenAI is rolling out an invisible, machine-readable text watermark called textGrain to ChatGPT and Codex, "but only for users in the European Union at first," reports The Verge. From the report: OpenAI says its textGrain watermarking "matched or exceeded" other approaches like Google DeepMind's SynthID for text, which is also the basis for the watermarking Anthropic announced in August. Like OpenAI, Anthropic made the move to meet the requirements of the EU's AI Act; however, not everyone was happy to learn about the addition. OpenAI also included scores from AI benchmarks showing similar performance from watermarked and unwatermarked text. But it notes that textGrain "does not guarantee reliable detection," and says text watermarks don't verify accuracy, determine who owns the text, measure how much a human contributed, or prove human authorship.

From the transportation news site MotorBiscuit: In late September 2026, 23-year-old Liz Lindseay Isaacs testified before a Senate Judiciary Subcommittee about her harrowing experience after a Flock camera misidentified her Dodge Durango, linking her to a fatal hit-and-run miles away from where she actually was... "The cell door was shut, and it was not opened for approximately 86 hours". She spent a total of 13 days locked up — including the terrifying stint in solitary confinement — before prosecutors finally realized the AI had completely botched the vehicle identification and dropped the charges.
A Flock spokesperson contacted for a CNN report argued the incident "appears to have been the result of human errors in judgment unrelated to Flock." The woman is now suing the Florida patrol over wrongful arrest, saying she partially blames the two police officers who she says claimed there was incriminating damage on her vehicle when there wasn't. But her lawyer says he blames Flock. "Because if it wasn't for Flock we wouldn't be here in the first place, and this whole nightmare... would not have kicked off."

And while police claim Flock solves more crimes, the lawyer adds that "you would also solve a lot more crimes if the police were allowed to kick down your door and come in and search your house whenever they want to, or search your car whenever they want to or violate your rights in other ways. There has to be safeguards in police that comport through the 4th Amendment, like the warrant requirements. It's as simple as that. This technology is growing so fast that we are unable to control it. And we must get ahead of it." And the woman incarcerated for 13 days agreed. "I wouldn't have went to jail if it wasn't for Flock."

Florida was also the site of another Flock-related news story. ("Florida Deputy Allegedly Used Flock Cameras to Stalk 17-Year-Old Girl, Visiting Her at Work 9 Times".) The officer "was charged with official misconduct and accessing computer electronic devices without authority — both are third-degree felonies. In Florida, if he's found guilty on both charges, he could be sentenced to up to 10 years in prison."

"Americans have no idea who's looking at that information, or why it has to be collected in the first place," U.S. Senate Democratic Leader Chuck Schumer said Sunday, adding "They deserve to know." SCHUMER: "This company said the data on its cameras was encrypted and secure. Then hackers took one down and found the key sitting right there," Schumer said. "Most Americans just want to get to work and get home to their families without a private company keeping a file on where they go. The next step here is simple: turn the lens around and zoom in on Flock." Schumer also demanded answers from Flock about how much data from its cameras sits on its servers and whether any federal agency has accessed that data, directly or through local law enforcement.
Schumer's office sent an official letter to Flock's CEO giving them 12 days to respond to its questions about Flock's data retention and security policies. "Americans should not have to sacrifice their right to privacy simply by driving down a public street," Schumer wrote.

And in other news... Garrett Langley, the CEO of Flock Safety — a company that deploys over 120,000 automated license plate reader cameras across the United States — recently requested that his Atlanta home be blurred out on Google Maps Street View. In swift retaliation, online activists pinpointed the property and officially marked his front lawn as a "Public Toilet" on the mapping app.

"The winner of the Nikon Small World in Motion competition is under investigation," writes the photography news site PetaPixel , "after scientists accused Dr Ning Xu of using AI in his video." The Nikon competition is about showcasing the beauty, complexity, and artistry of the microscopic world. The entries are abstract, often baffling to laypeople. But when Dr Xu was announced as the winner last month, members of the scientific community began to cry foul. "There are many serious problems with this video," Edward Phelps, associate professor at Florida University, says on LinkedIn. Phelps points out that "purple structures pop in and out of existence" and "green cilia also appear from nowhere and do not match the known size."

Dr Xu's video is supposed to show the movement of cilia, which are hair-like structures that line part of the lungs... However, since Dr Xu won the prize, Nikon Small World updated its LinkedIn post celebrating his triumph with a note that reads: "Regarding questions raised about this year's Small World In Motion winning video, Nikon is carefully re-reviewing the information provided during the initial vetting, along with additional supporting materials from the entrant." Nikon adds that Dr Xu is "respectfully complying and has provided detailed technical documentation outlining the microscopy equipment, imaging methods, and processing techniques used to create the source video."

Worse still, Ian Donovan, an MD/PhD Student at UT Southwestern Medical Center, says he ran the video through Google Gemini, and the result came back with an invisible Google SynthID watermark that indicates at least some of the video is AI-generated. Dr Xu, an optical engineering researcher at the National University of Singapore, reportedly responded to the LinkedIn post. According to Nature, Dr Xu accepted that he had used an AI model to assist with post-processing but denied breaking the rules of the competition, which clearly state that "AI-generated videos are not permitted."

"It was applied afterwards to the reconstructed grayscale data to distinguish and color structures with similar morphology," he wrote. However, Dr Xu's messages on the LinkedIn post can't be found as of today (October 1), and his LinkedIn profile now appears to have been deleted entirely.
Meanwhile, some college students "see a double standard when colleges penalize them for outsourcing academic work to AI but allow similar use by institutional leaders," writes Entrepreneur magazine: According to a recent report from The New York Times, Dartmouth College students are calling out a top professor for allegedly using AI to help with writing... The school's provost, Santiago Schnell, faced allegations of AI use last week from the college's student-run newspaper, which detected AI in some of his published writing. The college said it was launching an investigation into the written work. Schnell said in a statement to the student-run newspaper, The Dartmouth, that he used AI "for language refinement, copyediting, improving clarity and organization and making writing processes more efficient." The newspaper ran his statement through an AI detector, which said that Schnell had used AI to write it, too.

Longtime Slashdot reader Geoffrey.landis shares a report from NPR: Google just put a refrigerator-sized satellite into space, part of a research project the company hopes can pave the way for orbiting AI data centers powered by the sun. The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company's Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries.

In a blog post, Google said the mission will gauge how the TPUs handle "the physical stress of spaceflight and the radiation and thermal extremes of space." The satellite launched October 1 is a prototype that Travis Beals, senior director and lead of Project Suncatcher, called "a very minimal test" to make sure the chips can run in space. A SpaceX rocket carried it into orbit, and Planet will get it up and running. Beal said Google will then fire up and test the TPUs. The goal is for the mission to be operational for a year.

Researchers from Carnegie Mellon, MIT, NYU, and Stanford have built an AI called Ataraxos that finally cracked Stratego, beating four-time world champion Pim Niemeijer 15 games to one with four draws. Its key advantage was a second neural network that estimates the identities of hidden enemy pieces, letting the system search plausible game states rather than brute-force a massive hidden-information space. Ars Technica reports: Just like [DeepMind's DeepNash, introduced in 2022], Ataraxos learned by playing against itself -- 163 million games in total. In these self-play sessions, moves that led to wins were reinforced and played more often in future matches, while moves that led to losses were played less, which was the same simple training idea. The difference was in how much Ataraxos adjusted after each game, because hidden information tends to send self-play learning algorithms around in circles. The team addressed this by making big, bold changes in strategy early in training and small, careful ones later.

The even bigger innovation was something DeepNash never had: thinking ahead before each move. AIs like AlphaGo refine their general strategy with a search just before acting. DeepMind couldn't make that work in Stratego because the search space was too large, leaving it an open question whether it was worth trying. "This is one of the things that we did figure out how to do," Farina said. The solution was a second neural network, a belief model, trained to guess the opponent's hidden pieces based on how they had been moving. This way, instead of iterating through every possible arrangement, Ataraxos samples plausible ones, plays out candidate moves in each, and picks based on how they turned out. And it shows in its playstyle.

[...] DeepNash was trained for two to three months on 1,024 of Google's specialized chips, a run the Ataraxos team estimates would cost $3 million to $4.5 million at 2025 prices. Ataraxos, in contrast, needed 16 GPUs for a week, plus an additional four GPUs for four days to train the belief model. Farina and lead author Samuel Sokota achieved this efficiency by writing a simulator that runs millions of moves per second on graphics cards. "At the scale that we are in academia, we don't really have access to an entire field of GPUs," Farina said. The algorithm also learned far faster -- it played about 34 times fewer games than DeepNash, and still ended up much stronger. The findings have been published in the journal Nature.

A federal judge has dismissed antitrust lawsuits from Chegg and Penske Media accusing Google of harming publishers by using their content in AI Overviews and other AI search features without compensating them or providing a meaningful opt-out. Ars Technica reports: The lawsuits were filed in 2025, and Google requested a dismissal earlier this year. Chegg, an education and learning platform, claimed in its lawsuit that Google illegally scraped its educational content. This allowed Gemini models to essentially recreate that content and reduce the site's traffic. Penske, which owns publications like Rolling Stone and Variety, filed a similar case that alleged lost traffic. Specifically, the publisher claimed it was unfair that sites indexed for organic search would also have their content harvested for AI answers, with no way to opt out.

These arguments did not sway the judge, who noted that Google's implicit agreement with websites is not legally relevant. "Plaintiffs have pleaded only that they have an 'expectation' that Google will send them search "traffic if they make their content available for free," wrote Mehta. "But an expectation is not an agreement. It is simply how a general search engine works."

Since Google never had a formal arrangement with either Chegg or Penske, antitrust law doesn't apply. And Mehta is aware of the legal issues surrounding search. He also heard the DOJ's long-running search antitrust case against Google, eventually finding that Google violated the law. However, the government didn't get the harsh penalties it wanted in that case.

Google has unveiled Gemini 4 Argon, a new frontier AI model that it says leads or ties rivals on 13 of 18 disclosed benchmarks. The model is initially being released only to trusted cyber defenders and select pre-release testers, with broader availability planned later. VentureBeat reports: Google is not claiming that Gemini 4 Argon wins every benchmark. But across the benchmark table disclosed in the company's embargoed materials, Argon posts the highest score, or ties for the highest score, in more categories than GPT-6 Astra or Claude Opus 5.5. Across the 18 benchmarks Google disclosed, Argon leads outright on 12 and ties for first on one. GPT-6 Astra leads outright on three and ties Argon on one. Claude Opus 5.5 leads outright on two. That makes Argon the leading frontier model by total number of benchmark leads or top scores in Google's comparison set, even though the results show a still-close race in which OpenAI and Anthropic retain advantages in several important technical categories.

[...] The result is a more nuanced claim than "best model across the board." Argon appears to have the broadest top-score profile among the three frontier models in Google's disclosed comparison, but GPT-6 Astra remains ahead in several software, science-terminal and computer-use tasks, while Claude Opus 5.5 remains ahead in terminal-agent and post-training workflows. For enterprise buyers, that means model choice is still workload-dependent, even if Argon now gives Google its strongest claim yet to overall frontier leadership by benchmark count. [...] Argon also expands Google's output ceiling. The company says the model supports an industry-leading 1 million output tokens, up from a previous 64,000-token limit. That is a notable distinction for agentic software engineering, audit, migration and legal-review workloads where the value of a model often depends on how long it can sustain a chain of work before handing control back to a human.