Amazon Web Services basically invented the cloud computing business and once held nearly half the market. That dominance is slipping. AWS captured 38% of corporate spending on cloud infrastructure services last year, down from almost 50% in 2018, according to Gartner. Microsoft now grows its backlog of corporate sales faster than Amazon. The company that brushed aside incumbents and transformed an internal startup into Amazon's profit engine now faces internal bureaucracy that has slowed it down.

Bloomberg interviewed 23 current and former AWS employees who described management layers that proliferated after a pandemic hiring binge. One sales engineer who was six managers from Jeff Bezos before the pandemic found himself fifteen rungs from CEO Andy Jassy earlier this year. AWS hesitated to invest in Anthropic when the AI startup was spending most of its cash on Amazon servers.

Executives doubted the Anthropic AI could be monetized and were culturally reluctant to pay for external technology they believed could be built in-house. Google invested in early 2023. Amazon followed that September with $4 billion in commitments. On Thursday, Google said it will supply up to 1 million AI chips to Anthropic.

Hackers have been spreading malware through more than 3,000 YouTube videos advertising cracked software and game hacks, cybersecurity firm Check Point warned this week. The campaign, active since at least 2021, tripled its video production in 2025. The videos promoted free versions of Adobe Photoshop, FL Studio, Microsoft Office, and game cheats for titles like Roblox. Fake comments created the appearance of legitimacy, the researchers found.

Users who downloaded archives from Dropbox, Google Drive, or MediaFire were instructed to disable Windows Defender before opening files. The downloads contained malware including Lumma and Rhadamanthys, which steal passwords and cryptocurrency wallet information. The hackers hijacked existing accounts and created new ones. One compromised channel with 129,000 subscribers posted a cracked Photoshop video that reached 291,000 views. Another video for FL Studio received over 147,000 views.

Google and Anthropic have finalized a cloud partnership worth tens of billions of dollars, granting Anthropic access to up to one million of Google's Tensor Processing Units and more than a gigawatt of compute power by 2026. CNBC reports: Industry estimates peg the cost of a 1-gigawatt data center at around $50 billion, with roughly $35 billion of that typically allocated to chips. While competitors tout even loftier projections -- OpenAI's 33-gigawatt "Stargate" chief among them -- Anthropic's move is a quiet power play rooted in execution, not spectacle. Founded by former OpenAI researchers, the company has deliberately adopted a slower, steadier ethos, one that is efficient, diversified, and laser-focused on the enterprise market.

A key to Anthropic's infrastructure strategy is its multi-cloud architecture. The company's Claude family of language models runs across Google's TPUs, Amazon's custom Trainium chips, and Nvidia's GPUs, with each platform assigned to specialized workloads like training, inference, and research. Google said the TPUs offer Anthropic "strong price-performance and efficiency." [...] Anthropic's ability to spread workloads across vendors lets it fine-tune for price, performance, and power constraints. According to a person familiar with the company's infrastructure strategy, every dollar of compute stretches further under this model than those locked into single-vendor architectures.

Google is migrating all its internal workloads to run on both x86 and its custom Axion Arm chips, with major services like YouTube, Gmail, and BigQuery already running on both architectures. The Register reports: The search and ads giant documented its move in a preprint paper published last week, titled "Instruction Set Migration at Warehouse Scale," and in a Wednesday post that reveals YouTube, Gmail, and BigQuery already run on both x86 and its Axion Arm CPUs -- as do around 30,000 more applications. Both documents explain Google's migration process, which engineering fellow Parthasarathy Ranganathan and developer relations engineer Wolff Dobson said started with an assumption "that we would be spending time on architectural differences such as floating point drift, concurrency, intrinsics such as platform-specific operators, and performance." [...]

The post and paper detail work on 30,000 applications, a collection of code sufficiently large that Google pressed its existing automation tools into service -- and then built a new AI tool called "CogniPort" to do things its other tools could not. [...] Google found the agent succeeded about 30 percent of the time under certain conditions, and did best on test fixes, platform-specific conditionals, and data representation fixes. That's not an enormous success rate, but Google has at least another 70,000 packages to port.

The company's aim is to finish the job so its famed Borg cluster manager -- the basis of Kubernetes -- can allocate internal workloads in ways that efficiently utilize Arm servers. Doing so will likely save money, because Google claims its Axion-powered machines deliver up to 65 percent better price-performance than x86 instances, and can be 60 percent more energy-efficient. Those numbers, and the scale of Google's code migration project, suggest the web giant will need fewer x86 processors in years to come.

Samsung has officially launched the Galaxy XR, the first Android headset powered by Google's new Android XR platform. Priced at $1,800 without controllers, the device features dual 4.3K Micro-OLED displays, a Snapdragon XR2+ Gen 2 chip, extensive camera tracking, and deep Gemini AI integration. Ars Technica reports: Galaxy XR is a fully enclosed headset with passthrough video. It looks similar to the Apple Vision Pro, right down to the battery pack at the end of a cable. It packs solid hardware, including 16GB of RAM, 256GB of storage, and a Snapdragon XR2+ Gen 2 processor. That's a slightly newer version of the chip powering Meta's Quest 3 headset, featuring six CPU cores and an Adreno GPU that supports up to dual 4.3K displays. The new headset has a pair of 3,552 x 3,840 Micro-OLED displays with a 109-degree field of view. That's marginally more pixels than the Vision Pro and almost three times as many as the Quest 3. The displays can refresh at up to 90Hz, but the default is 72Hz to save power.

Like other XR (extended reality) devices, the Galaxy XR is covered with cameras. There are two 6.5 MP stereoscopic cameras that stream your surroundings to the high-quality screens, allowing the software to add virtual elements on top. There are six more outward-facing cameras for headset positioning and hand tracking. Four more cameras are on the inside for eye-tracking, and they can scan your iris for secure unlocking and password fill (in select apps). Samsung says the Galaxy XR has enough juice for two hours of general use or two and a half hours of video. That's not terribly long, but you may not want to wear the 545 grams (1.2 pounds) headset for even two hours. That's even a little heavier than the Quest 3, which has an integrated battery. However, both pale in comparison to the 800 g (1.7 pounds) second-generation Vision Pro.

Google and Apple face enforced changes to how they operate their mobile phone platforms, after the UK's competition watchdog ruled the companies require tougher regulatory oversight. From a report: The Competition and Markets Authority has conferred "strategic market status" (SMS) on the tech firms after investigating their mobile operating systems, app stores and browsers. It means Apple and Google will be subjected to tailormade guidelines to regulate their behaviour in the mobile market.

The CMA said the two companies have "substantial, entrenched" market power, with UK mobile phone owners using either Google or Apple's platforms and unlikely to switch between them. The regulator flagged the importance of their platforms to the UK economy and said they could be a bottleneck for businesses.

[...] Changes under consideration by the CMA include allowing users to be "steered" out of app stores to make purchases elsewhere, like on a company's own website. App developers have long taken issue with Apple and Google taking a cut from purchases made via apps. The CMA also wants both companies to ensure users have a "genuine choice" over the services they use on their devices, like digital wallets on Apple.

Google announced Wednesday that its quantum computer achieved the first verifiable quantum advantage, running a new algorithm 13,000 times faster than a top supercomputer. The algorithm, called Quantum Echoes, was published in the journal Nature. The results can be replicated on another quantum computer of similar quality, something Google had not demonstrated before. The quantum computer uses a chip called Willow, which was announced in December 2024. Hartmut Neven, head of Google's Quantum AI research lab, called the work a demonstration of the first algorithm with verifiable quantum advantage and a milestone on the software track.

Michel H. Devoret, who won this year's Nobel Prize in Physics and joined Google in 2023, said future quantum computers will run calculations impossible with classical algorithms. Google stopped short of claiming the work would have practical uses on its own. Instead, the company said Quantum Echoes demonstrated a technique that could be applied to other algorithms in drug discovery and materials science.

A second paper published Wednesday on arXiv showed how the method could be applied to nuclear magnetic resonance. The experiment involved a relatively small quantum system that fell short of full practical quantum advantage because it was not able to work faster than a traditional computer. Google exhaustively red-teamed the research, putting some researchers to work trying to disprove its own results.

Prineha Narang, a professor at UCLA, called the advance meaningful. The quantum computer tested two molecules, one with 15 atoms and another with 28 atoms. Results on the quantum computer matched traditional NMR and revealed information not usually available from NMR. Google's research competes against Microsoft, IBM, universities and efforts in China. The Chinese government has committed more than $15.2 billion to quantum research. Previous claims of quantum advantage have been met with skepticism.

joshuark shares a report from BleepingComputer: A new malicious campaign is targeting macOS developers with fake Homebrew, LogMeIn, and TradingView platforms that deliver infostealing malware like AMOS (Atomic macOS Stealer) and Odyssey. The campaign employs "ClickFix" techniques where targets are tricked into executing commands in Terminal, infecting themselves with malware. Researchers at threat hunting company Hunt.io identified more than 85 domains impersonating the three platforms in this campaign [...].

When checking some of the domains, BleepingComputer discovered that in some cases the traffic to the sites was driven via Google Ads, indicating that the threat actor promoted them to appear in Google Search results. The malicious sites feature convincing download portals for the fake apps and instruct users to copy a curl command in their Terminal to install them, the researchers say. In other cases, like for TradingView, the malicious commands are presented as a "connection security confirmation step." However, if the user clicks on the 'copy' button, a base64-encoded installation command is delivered to the clipboard instead of the displayed Cloudflare verification ID.

An anonymous reader quotes a report from Ars Technica: AI content has proliferated across the Internet over the past few years, but those early confabulations with mutated hands have evolved into synthetic images and videos that can be hard to differentiate from reality. Having helped to create this problem, Google has some responsibility to keep AI video in check on YouTube. To that end, the company has started rolling out its promised likeness detection system for creators. [...] The likeness detection tool, which is similar to the site's copyright detection system, has now expanded beyond the initial small group of testers. YouTube says the first batch of eligible creators have been notified that they can use likeness detection, but interested parties will need to hand Google even more personal information to get protection from AI fakes.

Currently, likeness detection is a beta feature in limited testing, so not all creators will see it as an option in YouTube Studio. When it does appear, it will be tucked into the existing "Content detection" menu. In YouTube's demo video, the setup flow appears to assume the channel has only a single host whose likeness needs protection. That person must verify their identity, which requires a photo of a government ID and a video of their face. It's unclear why YouTube needs this data in addition to the videos people have already posted with their oh-so stealable faces, but rules are rules.

After signing up, YouTube will flag videos from other channels that appear to have the user's face. YouTube's algorithm can't know for sure what is and is not an AI video. So some of the face match results may be false positives from channels that have used a short clip under fair use guidelines. If creators do spot an AI fake, they can add some details and submit a report in a few minutes. If the video includes content copied from the creator's channel that does not adhere to fair use guidelines, YouTube suggests also submitting a copyright removal request. However, just because a person's likeness appears in an AI video does not necessarily mean YouTube will remove it.

Google plans to let Pixel smartphone enthusiasts test out the company's next handset ahead of its public introduction. From a report: Google has invited members of its "Superfans" group to apply to test future Pixel hardware, asking entrants to profess their knowledge and passion for the brand in hopes of being able to beta test forthcoming products.

Consumer tech companies often let small groups of customers try out unreleased products under strict secrecy to gather feedback during development. But it's incredibly rare for a company of Google's size to do it with something as high-profile as the Pixel lineup.

The search giant will select 15 people from the pool of entrants, and winners must all sign a non-disclosure agreement to receive devices, according to official rules for the contest reviewed by Bloomberg News. "The Trusted Tester program is an opportunity to provide feedback and help shape a Pixel phone currently in development," the document reads.

An anonymous reader writes: "Hoisted by their own GPTards." That's how Meta's Chief AI Scientist Yann LeCun described the blowback after OpenAI researchers did a victory lap over GPT-5's supposed math breakthroughs. Google DeepMind CEO Demis Hassabis added, "this is embarrassing." The Decoder reports that in a since-deleted tweet, OpenAI VP Kevin Weil declared that "GPT-5 found solutions to 10 (!) previously unsolved Erdos problems and made progress on 11 others." ("Erdos problems" are famous conjectures posed by mathematician Paul Erdos.)

However, mathematician Thomas Bloom, who maintains the Erdos Problems website, said Weil's post was "a dramatic misrepresentation" -- while these problems were indeed listed as "open" on Bloom's website, he said that only means, "I personally am unaware of a paper which solves it." In other words, it's not accurate to claim GPT-5 was able to solve previously unsolved problems. Instead, Bloom wrote, "GPT-5 found references, which solved these problems, that I personally was unaware of."

AWS experienced a three-hour outage early Monday morning that disrupted thousands of websites and applications across the globe. The cloud computing provider reported DNS problems with DynamoDB in its US-EAST-1 region in northern Virginia starting at 12:11 a.m. Pacific time. Over 4 million users reported issues, according to Downdetector. Snapchat saw reports spike from more than 22,000 to around 4,000 as systems recovered. Roblox dropped from over 12,600 complaints to fewer than 500. Reddit and the financial platform Chime remained affected longer. Perplexity, Coinbase and Robinhood attributed their platform disruptions directly to AWS.

Gaming platforms including Fortnite, Clash Royale and Clash of Clans went offline. Signal confirmed the messaging app was down. In Britain, Lloyd Bank, Bank of Scotland, Vodafone, BT, and the HMRC website faced problems. United Airlines reported disrupted access to its app and website overnight. Some internal systems were temporarily affected. Delta experienced a small number of minor flight delays. By 3:35 a.m. Pacific time, AWS said the issue had been fully mitigated. Most service operations were succeeding normally though some requests faced throttling during final resolution. AWS holds roughly one-third of the cloud infrastructure market ahead of Microsoft and Google.

"This is an attempt to stop Waymo cars from driving into the dead end," complains a home-made sign in San Francisco, "where they are forced to reverse and adversely affect the lives of the residents."

On an orange traffic post, the home-made sign declares "NO WAYMO — 8:00 p.m. to 8:00 a.m," with an explanation for the rest of the neighborhood. "Waymo comes at all hours of the night and up to 7 times per hour with flashing lights and screaming reverse sounds, waking people up and destroying the quality of life."

SFGate reports that 1,400 people on Reddit upvoted a photo of the sign's text: It delves into the bureaucratic mess — multiple requests to Waymo, conversations with engineers, and 311 [municipal services] tickets, which had all apparently gone ignored — before finally providing instructions for human drivers. "Please move [the cones] back after you have entered so we can continue to try to block the Waymo cars from entering and disrupting the lives of residents."

This isn't the first time Waymo's autonomous vehicles have disrupted San Francisco residents' peace. Last year, a fleet of the robotaxis created another sleepless fiasco in the city's SoMa neighborhood, honking at each other for hours throughout the night for two and a half weeks.
Other on Reddit shared the concern. "I live at an dead end street in Noe Valley, and these Waymos always stuck there," another commenter posted. "It's been bad for more than a year," agreed another comment. "People on the Internet think you're just a hater but it's a real issue with Waymos."

On Thursday "the sign remained at the corner of Lake Street and Second Avenue," notes SFGate. And yet "something appeared to have shifted. "Waymo vehicles weren't allowing drop-offs or pickups on the street, though whether this was due to the home-printed plea, the cone blockage, or simply updating routes remains unclear."

"Earlier available only to the paying subscribers, the Comet browser now offers its core features to all users at no cost," writes the Times of India. "This includes AI-powered search, contextual recommendations, and integrated tools designed to streamline research and content discovery." They say the move reflects the Chromium-based browser's goal to "compete with incumbents like Google Chrome and Microsoft Edge" — but also reflects Perplexity's "broader mission to democratize AI tools."
More details from The Verge: The internet is better on Comet," the company says, promising to remain free forever as it styles the browser as a serious challenger to Google's Chrome...

It's supposed to make surfing the web simpler and help you with tasks like shopping, booking trips, and general life admin. To borrow the company's words again: you "get more done." The AI-powered browser launched in July, though was only available for users who subscribed to the $200 per month Perplexity Max plan... No subscription at all will be needed to use Comet going forward, the company says.
Perplexity has even struck deals with major sites including the Washington Post, and the Los Angeles Times to offer free access to their sites for one month through the Comet browser. And last week Perplexity also launched an agressive paid referral program, where active Perplexity Pro/Max subscribers get a payout of up to $15 for each friend who downloads and uses Comet through their affiliate link. (The payout size is based on the friend's country, with $15 being the payout amount for a U.S. user, with $10 payouts for users in 19 other countries include Canada, Australia, the U.K., several EU countries, Japan, and South Korea.

In addition, Srinivas has been sharing positive tweets about Comet. (Like "This is unbelievable. Comet automatically hunts down Sora 2 invite codes across the web and signs you up!") But Perplexity is making even bigger claims for its browser: Perplexity AI CEO Aravind Srinivas said that the Comet AI browser can improve productivity so that companies won't need to hire more people. "Instead of hiring one more person on your team, you could just use Comet to supplement all the work that you're doing," Srinivas told CNBC's "Squawk Box"... The CEO said the artificial intelligence-powered web browser is a "true personal assistant" that allows users to complete more tasks in the same amount of time and said that the productivity gained could be worth $10,000 per year for a single person...

Other tech companies have also been rolling out their own AI browser assistants. In January, OpenAI introduced its web agent, Operator, and Google released Gemini AI to its Chrome browser in September.
Meanwhile, The Verge adds, The Browser Company (makers of the Arc browser) "is going all in on Dia, and Opera just launched its own AI browser, Neon."

Of course, popularity brings problems, writes the Times of India: iPhone users are being warned by Perplexity CEO Aravind Srinivas against downloading a fake 'Comet' app on the App Store. He clarified that the official iOS version is not yet released and the current listing is unauthorized spam..
And earlier this month the browser security platform LayerX described a "CometJacking" attack where malicious prompts could be hidden in URLs (as a parameter). Comet is instructed "to look for data in memory and connected services (e.g., Gmail, Calendar), encode the results (e.g., base64), and POST them to an attacker-controlled endpoint... all while appearing to the user as a harmless 'ask the assistant' flow." (And with some trivial encoding it also seems to evade exfiltration checks.)

The Hacker News reported that Perplexity has classified the findings as "no security impact."

An anonymous reader quotes a report from The Conversation: When teachers rely on commonly used artificial intelligence chatbots to devise lesson plans, it does not result in more engaging, immersive or effective learning experiences compared with existing techniques, we found in our recent study. The AI-generated civics lesson plans we analyzed also left out opportunities for students to explore the stories and experiences of traditionally marginalized people. The allure of generative AI as a teaching aid has caught the attention of educators. A Gallup survey from September 2025 found that 60% of K-12 teachers are already using AI in their work, with the most common reported use being teaching preparation and lesson planning. [...]

For our research, we began collecting and analyzing AI-generated lesson plans to get a sense of what kinds of instructional plans and materials these tools provide to teachers. We decided to focus on AI-generated lesson plans for civics education because it is essential for students to learn productive ways to participate in the U.S. political system and engage with their communities. To collect data for this study, in August 2024 we prompted three GenAI chatbots -- the GPT-4o model of ChatGPT, Google's Gemini 1.5 Flash model and Microsoft's latest Copilot model -- to generate two sets of lesson plans for eighth grade civics classes based on Massachusetts state standards. One was a standard lesson plan and the other a highly interactive lesson plan.

We garnered a dataset of 311 AI-generated lesson plans, featuring a total of 2,230 activities for civic education. We analyzed the dataset using two frameworks designed to assess educational material: Bloom's taxonomy and Banks' four levels of integration of multicultural content. Bloom's taxonomy is a widely used educational framework that distinguishes between "lower-order" thinking skills, including remembering, understanding and applying, and "higher-order" thinking skills -- analyzing, evaluating and creating. Using this framework to analyze the data, we found 90% of the activities promoted only a basic level of thinking for students. Students were encouraged to learn civics through memorizing, reciting, summarizing and applying information, rather than through analyzing and evaluating information, investigating civic issues or engaging in civic action projects.

When examining the lesson plans using Banks' four levels of integration of multicultural content model (PDF), which was developed in the 1990s, we found that the AI-generated civics lessons featured a rather narrow view of history -- often leaving out the experiences of women, Black Americans, Latinos and Latinas, Asian and Pacific Islanders, disabled individuals and other groups that have long been overlooked. Only 6% of the lessons included multicultural content. These lessons also tended to focus on heroes and holidays rather than deeper explorations of understanding civics through multiple perspectives. Overall, we found the AI-generated lesson plans to be decidedly boring, traditional and uninspiring. If civics teachers used these AI-generated lesson plans as is, students would miss out on active, engaged learning opportunities to build their understanding of democracy and what it means to be a citizen.

An anonymous reader quotes a report from The Register: Hyperscale datacenters stateside will consume 22 percent more grid power by the end of 2025 than a year ago, and are forecast to need nearly three times as much electricity by the end of the decade. Warnings about datacenters' rising energy draw are coming thick and fast of late, and this latest one from 451 Research (now a part of S&P Global) comes with figures and cautions about how fast this change may occur and what grid resources will be required to meet it.

The bit barn building boom is largely fueled by estimated demand for new machine learning models, which require highly configured servers packed with power-hungry GPUs to develop and train. The power and cooling infrastructure required also mean it is easier to build a new facility rather than attempt to retrofit an existing one. As a consequence, utility power to datacenters in America is estimated to jump 11.3 GW to 61.8 GW by the end of this year. 451 calculates this will rise again to 75.8 GW in 2026, then 108 GW in 2028, before hitting 134.4 GW by 2030. These figures also exclude enterprise-owned facilities, only considering those of the hyperscale tech giants such as Amazon, Apple, Google, Meta, and Microsoft, alongside leased and crypto-mining sites.

The research identifies Virginia and Texas as the two states with by far the highest requirement for bit barn energy supplies in the US this year. 451 forecasts that Virginia's datacenter load, made up of leased and hyperscale facilities, will reach 12.1 GW in 2025, up from 9.3 GW last year. In Texas, demand is driven by cryptomining and leased capacity, and is slated to hit 9.7 GW this year, from less than 8 GW previously. However, the search for an optimum location is seeing datacenter operators explore emerging markets such as Idaho, Louisiana, Oklahoma and smaller cities in West Texas, looking for "stranded power" and alternative energy generation opportunities, the report says.

An anonymous reader quotes a report from Ars Technica: Texas is being sued by a Big Tech lobby group over the state's new law that will require app stores to verify users' ages and impose restrictions on users under 18. "The Texas App Store Accountability Act imposes a broad censorship regime on the entire universe of mobile apps," the Computer & Communications Industry Association (CCIA) said yesterday in a lawsuit (PDF). "In a misguided attempt to protect minors, Texas has decided to require proof of age before anyone with a smartphone or tablet can download an app. Anyone under 18 must obtain parental consent for every app and in-app purchase they try to download -- from ebooks to email to entertainment."

The CCIA said in a press release that the law violates the First Amendment by imposing "a sweeping age-verification, parental consent, and compelled speech regime on both app stores and app developers." When app stores determine that a user is under 18, "the law prohibits them from downloading virtually all apps and software programs and from making any in-app purchases unless their parent consents and is given control over the minor's account," the CCIA said. "Minors who are unable to link their accounts with a parent's or guardian's, or who do not receive permission, would be prohibited from accessing app store content."

The law requires app developers "to 'age-rate' their content into several subcategories and explain their decision in detail," and "notify app stores in writing every time they improve or modify the functions, features, or user experience of their apps," the group said. The lawsuit says the age-rating system relies on a "vague and unworkable set of age categories." "Our Constitution forbids this," the lawsuit said. "None of our laws require businesses to 'card' people before they can enter bookstores and shopping malls. The First Amendment prohibits such oppressive laws as much in cyberspace as it does in the physical world." The lawsuit was filed in US District Court for the Western District of Texas. CCIA members include Apple and Google, which have both said the law would reduce privacy for app users. The companies recently described their plans to comply, saying they would take steps to minimize the privacy risks.

Google DeepMind is partnering with Commonwealth Fusion Systems (CFS) to use its Torax AI software to simulate and optimize plasma behavior inside the company's Sparc fusion reactor. TechCrunch reports: There's a reason Google keeps coming back to the problem: AI might be uniquely suited to making fusion power possible. One of the biggest challenges facing fusion startups is keeping the plasma inside a reactor hot enough for long enough. Unlike nuclear fission reactions, which are self-sustaining, fusion reactions are difficult to maintain outside of stars like the Sun. Without that sort of mass and gravity, the plasma is constantly in danger of diffusing and snuffing itself out.

In CFS's reactors, powerful magnets substitute for gravity to help corral the plasma, but they're not perfect. Reactor operators have to develop control software that can enable the device to continuously react to changing plasma conditions. Problem is, there are almost too many knobs to turn, certainly more than a human is capable of. That's the sort of problem that AI excels at. Experts have cited AI as one of the key technologies that has enabled the industry's remarkable advances over the past several years.

CFS is currently building Sparc, its demonstration reactor, in a suburb outside Boston. The device is about two-thirds completed, and when finished later in 2026, the startup is predicting that it will be the first fusion device capable of producing more power than the plant needs to run itself. Google said Torax can be used with reinforcement learning or evolutionary search models to find the "most efficient and robust paths to generating net energy." The two companies are also exploring whether AI can be used to control the reactor's operation.

The U.S. is awash with scam text messages. Officials say it has become a billion-dollar, highly sophisticated business benefiting criminals in China. From a report: Your highway toll payment is now past due, one text warns. You have U.S. Postal Service fees to pay, another threatens. You owe the New York City Department of Finance for unpaid traffic violations. The texts are ploys to get unsuspecting victims to fork over their credit-card details. The gangs behind the scams take advantage of this information to buy iPhones, gift cards, clothing and cosmetics.

Criminal organizations operating out of China, which investigators blame for the toll and postage messages, have used them to make more than $1 billion over the last three years, according to the Department of Homeland Security. Behind the con, investigators say, is a black market connecting foreign criminal networks to server farms that blast scam texts to victims. The scammers use phishing websites to collect credit-card information. They then find gig workers in the U.S. who will max out the stolen cards for a small fee. Making the fraud possible: an ingenious trick allowing criminals to install stolen card numbers in Google and Apple Wallets in Asia, then share the cards with the people in the U.S. making purchases half a world away.

GrapheneOS, the privacy-focused Android fork once exclusive to Google Pixels, is partnering with a major Android OEM to bring its hardened, de-Googled OS to Snapdragon-powered flagship phones. Android Authority reports: Until now, GrapheneOS has been available only on Pixel phones, making Google's flagships popular among privacy enthusiasts, journalists, and, as a Spanish police report suggested earlier this year, even organized crime groups in Catalonia. But that Pixel exclusivity may end by 2026 or 2027. GrapheneOS revealed in a Reddit thread that it has been working with a "major Android OEM" since June 2025 to enable official support for "future versions of their existing models." These devices will reportedly use flagship Snapdragon chips, a notable shift from Google's in-house Tensor processors.

The project explained that only Pixels have met its strict security and update requirements so far. However, the new partnership suggests that another OEM is finally matching those standards. GrapheneOS also hinted that the mysterious partner's devices will be "priced similarly to Pixels" and available globally as part of the brand's standard lineup.