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OpenAI Says ChatGPT Is Catching Up to Google In Search

Adam Fry, OpenAI's consumer product lead for ChatGPT, says the number of searches performed through ChatGPT has grown to roughly 20% of Google's search volume. The company defines a search as a ChatGPT query that triggers a web search, suggesting the chatbot is becoming an increasingly significant competitor to traditional search engines. The Verge reports: Having one-fifth as many searches as Google is still a long way from overtaking it, but for comparison, Microsoft CEO Satya Nadella said during Google's 2023 antitrust trial that Bing had about 3 percent of the search engine market share after trying for more than a decade. During the trial, Google described AI as a potential disruptor, arguing ChatGPT was poised to seriously compete with it -- now, OpenAI seems to agree. (OpenAI likely uses Microsoft Bing for a significant part of its searches, along with its in-house search index, although there is still some speculation that it routes some queries through Google.) As for ads, which OpenAI started testing earlier this year, Fry said they haven't produced a lasting backlash. "Ads have not negatively impacted the product or the usage of the product," he said, adding that "most people do not seem to mind ads in the product." Last month, OpenAI announced plans to introduce images of sponsored products and services in ChatGPT.

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First Wired XR Glasses Powered By Android XR

XREAL has launched the AURA, its first wired augmented reality glasses powered by Google's Android XR platform. They feature transparent Micro-OLED displays, a 70-degree field of view, Gemini AI integration, and a Snapdragon Reality Elite processor. TechPowerUp reports: The device is built around a simple idea: your apps, screens, entertainment, and AI assistant should be able to come with you wherever you go. On day-one, users have access to millions of familiar mobile apps and games from Google Play, alongside many experiences specifically for XR. Android XR brings familiar hand and voice inputs to AURA, while Gemini makes the experiences more natural and intuitive by working across what users see and do. With Wired Mirroring, users can plug a computer or handheld gaming console directly into XREAL AURA via USB-C and instantly turn it into a massive private spatial window. That means a laptop, handheld gaming device, or other compatible USB-C device can sit alongside native Android XR apps in a user's spatial workspace. Whether turning a plane seat into a private multi-monitor setup, watching a movie on a large virtual screen, or playing Android and console games in an immersive spatial environment, XREAL AURA is designed to make spatial computing practical, portable, and useful. [...] For work, AURA creates a portable multi-window workspace without requiring a physical monitor. Users can open Android XR apps, mirror a laptop, place windows in virtual space, and use Gemini to help understand or act on what is on screen. For entertainment, AURA becomes a private theater on demand. Users can access familiar streaming apps, expand content into a large virtual display, and use electrochromic dimming to create a more immersive viewing experience while remaining aware of their surroundings when needed. For play, AURA supports Android games and compatible mirrored gaming devices, enabling users to play on a large and immersive private display. The glasses are available to order today, with limited-time pricing starting at $1,099 for the 12GB RAM and 256GB storage model. Devices are expected to begin shipping in mid-November.

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Google Struggling to Make AI Mode Searches Pay

Alphabet shares fell nearly 10% after Google disclosed that searches through its AI Mode generate less revenue than traditional search, even as overall search revenue grew 12% year over year to $63.25 billion. The Register reports: Alphabet on Wednesday reported its Q3 results, which included news that its year-over-year search query growth rate is the highest it's been in the last five years. Some of that growth comes from users adopting "AI Mode" -- Google's latest LLM-powered search system. Google's revenue from search rose 12 percent year-over-year to $63.25 billion, a little lower than the 14.5 percent growth the company reported in last year's Q3. During Alphabet's earnings call, chief business officer Philipp Schindler said the slowdown was caused by "lower monetization we were seeing in AI Mode." That's a worry given that Google is spending enormous sums on infrastructure. $51.4 billion went out the door in Q3, around two thirds of it going towards servers and networking equipment. The rest funded datacenter builds. That spending appears to have impacted profitability, as Alphabet reported $26.17 billion net income for the quarter. Last year's Q3, during which Google revenue was $102.35 billion, produced $35 billion net income. Schindler argued that AI search will pay off. "On AI Mode, many of these queries are upper funnel queries, allowing us to capture new, high-value commercial intent," he told investors. "In addition, the majority of AI Mode queries are incremental, creating more monetization opportunities over time." Google tried to seize one of those opportunities today, by turning on ads alongside AI Mode searches around the world, after first testing them in the US only. But for now, AI Mode searches aren't as lucrative as Google's existing search business, which brought in just under half of Alphabet's $125.8 billion quarterly revenue.

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Google Staff Resign In Backlash Over Its AI Contracts With Military

An anonymous reader quotes a report from the BBC: Google is facing a backlash from some staff members over the company's deployment of its AI technology for military use. The BBC has spoken to several tech workers who have either recently resigned from Google's AI company, Google DeepMind, or are in the process of leaving, over concerns with the tech firm's military contracts. Sofia Liguori, a London-based research engineer, is one of them. She resigned from Google DeepMind this week and spoke about her concerns exclusively with the BBC, despite her contract restricting her from doing so. "Realizing my company is pushing more and more for AI systems in military operations makes me feel ashamed to work at Google," Liguori said, speaking in a personal capacity. [...] After working for the company for three years, Liguori said she decided to resign over Google's increasing work with the US and Israeli militaries. "I don't agree with this direction and this has led me to lose faith in my company being true to its stated ethical values," she said. Those values, according to Google's AI Principles, include implementing AI with "human oversight" and aligning the technology with "international law and human rights." But former and current staff at the company, and experts the BBC spoke to, said they were concerned about the level of human oversight at critical moments. The tech workers said they are particularly worried about the AI military deals signed this year, because they greatly increase the scope of what the Pentagon can use the technology for. Andreas Kirsch, an AI researcher, also resigned from Google DeepMind earlier this month over his concerns. Kirsch told the BBC that he believes "Google's governance and oversight are not sufficient or meaningful enough to deploy AI safely and responsibly in military and classified settings" or "to develop artificial superintelligence safely in the future." "Google seems to have no right to control or veto how the Pentagon uses its AI and also seems to have limited visibility into how it's being deployed," he added. [...] Employees at Google have told the BBC that staff are scared to speak out about AI safety and its uses in warfare because their employment contracts prohibit them from publicly criticizing the company. "In principle I'm not allowed to criticize Google for the duration of my life," Sofia Liguori told the BBC. But she decided to do so "because I believe it's important for these things to be known and I also think that talking about facts is not criticizing." Liguori added that at Google "people are scared of retaliation and putting their career at risk. You feel you are being watched, you can't speak." A current employee at Google DeepMind, who declined to be named for fear of retaliation, told the BBC that "a lot of motivated employees who signed up for [the company's] original mission could leave -- but there's also a pipeline of people at the start of the careers who could fill those positions. It could be a changing of the guard." Another Google DeepMind staff member, who also wished to remain anonymous, told the BBC: "A lot of people have left the company that feel strongly about this [how Google DeepMind has changed its ethics position]." "Some people are putting up a fight, others are thinking: 'it's a big company. What do you expect to change?'", the employee said. In response, a Google spokesperson told the BBC: "We work with public sector organisations worldwide and follow a consistent process for reviewing and entering these contracts, including compliance with our acceptable use policies and AI principles." "We also have dedicated channels for employees to safely raise any concerns -- ranging from business ethics to misconduct -- and have strict workplace policies in place to prevent retaliation of any kind."

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Google Is Silently Linking Your Phone Number Across All Signed-In Accounts

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 "[email protected]" 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?

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Google Launches Flagship AI Model Gemini 4 Argon

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."

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Google's Fitbit Edge Debuts a Replaceable Battery, Brings Back the Screen

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.

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Judge Dismisses Chegg and Penske Antitrust Lawsuits Targeting Google AI Search

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.

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Google Unveils Gemini 4 Argon, Retaking Benchmark Lead Over OpenAI and Anthropic

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.

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Google Reportedly Tests Paying Publishers For AI Search Results

Google is reportedly testing a program that pays around 100 publishers based on how much their content contributes to its AI-powered search features. According to The Information, one publisher earned more than $1 million over a year, while another has received roughly $50,000 to $60,000." Digiday reports: Once a publisher joins the "AI contribution pilot," they receive an extra AI earnings widget via their Search Console dashboard. This displays a monthly earnings number (with some history), though no other detailed information on how payouts are calculated currently. Payments are based more on value than raw usage, meaning Google only pays when it judges that a piece of content has meaningfully contributed to an AI-generated response. Publishers can opt out at any time. [...] Digiday has learned that at least dozens of publishers have been approached by Google for the AI contribution pilot, though the program has been more appealing to small and mid-sized, rather than large publishers and has widened far beyond news publishers. Digiday couldn't get final confirmation of the number. Screenshots from Google Search Console, seen by Digiday, show an "AI contribution" panel that appears once a publisher opts into the program. The interface lists the program name and a monthly payout figure. "It's quite black box," as one exec with knowledge of the matter told Digiday. "Do I wish they were more transparent? Definitely," said one publisher exec who is in the program. "But I'm hopeful that the fact that they're setting a precedent for exploring paying publishers directly for content through this is meaningful," they added.

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McDonald's Reportedly Using AI to 'Dynamically' Price Its Burgers

McDonald's is reportedly using AI-powered pricing tools to recommend menu prices based on what customers near individual restaurants are willing to pay. Franchisees technically retain control over final prices, but some told Reuters they feel pressured to follow the algorithm's recommendations. "A corporate document reviewed by the publication shows that McDonald's tracks adherence to the platform, and notes any deviations from the algorithm's price recommendations," reports Engadget. From the report: Reuters got a look at the interface that franchisees use to access this technology and it's pretty creepy. Messages show stuff like "your restaurant is showing MEDIUM SENSITIVITY to price" based on "customer willingness to pay in your area." Cost differences at nearby locations can be stark. Researchers found that a Big Mac at a Fresno, California store cost $5.69, but the same burger cost $6.89 at another branch two miles down the road. That's a 21 percent difference. The company acknowledges that using this dynamic pricing system could open up franchisees to legal hurdles, all while continuing to push the platform. The pricing portal's terms of service reportedly warns that owners "may be competitors of each other" and "it is particularly important for all Users of the Tool to understand and comply fully with antitrust and competition laws." The document also reiterates that franchisees are "always free to determine the final price," thus potentially absolving corporate from any antitrust concerns. McDonald's has decried Reuters' reporting as "speculative and uninformed." The company says the pricing portal is "a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions." The company has been using some version of this technology since at least 2019, according to Reuters. In 2023, however, CEO Kempczinski boasted to investors that it had developed proprietary tools to evaluate pricing at individual restaurants.

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Why Google Told Drivers to Drive a Longer Way On Purpose

"A team at Google's research arm used Google Maps to reroute a small portion of drivers in 10 U.S. cities," reports SFGate — including San Francisco and Los Angeles. "Through their experiment, which was published in the journal Nature Cities in June, the researchers sought to evenly spread traffic down more corridors as the drivers head to similar destinations, in the hopes of reducing congestion." The experiments nudged up vehicle speeds by 2% on average on the congested roads, and shortened travel times by a modest 0.7%. Scientists have long thought that traffic could be eased this way, and this now demonstrates how it could actually work in the real world. The researchers collected data on weekdays in the 10 cities, which included Seattle, Salt Lake City, Chicago and Atlanta. While they studied a variety of types of roads, from city streets to highways, they found that in cities such as Los Angeles where they targeted highways, their diversions had the biggest effect, with driving speeds in those areas increasing by about 4.6%. Most cities, though, saw a smaller improvement with speeds across them increasing by just 0.5% during peak times. The Google study's findings confirm what other researchers have long suspected, said Michael Manville, a professor of urban planning at UCLA who was not involved in the study. "This is a pretty nice empirical illustration of a longstanding idea," he said. If a clogged traffic artery is on the verge of a long delay, he said, rerouting a small number of vehicles away from the bottleneck produces a "not gigantic but noticeable result...." As with other traffic interventions, there's a risk that Google's approach to spreading traffic could backfire. This concept, known as "induced demand," also applies to efforts like adding a lane to a critical highway, which temporarily relieves congestion, until traffic rises again. "You can do this, but you cannot be too successful, because if you are too successful, then more people will start driving, and essentially you'll be back to ground zero," [said Alexandre Bayen, a co-author of the study and director of UC Berkeley's Center for Information Technology Research in the Interest of Society]. "That's why when we did the study, we only operated at the margin." The idea is to make minor improvements, enough to matter in the aggregate but not so significant that people notice and start driving more, canceling those improvements... The Google Research study also considered the potential environmental benefits of its traffic improvements. The paper highlights the carbon dioxide emission reductions resulting from the slightly smoother traffic flow and shortened travel times, which add up to a savings of about 1,000 metric tons annually. That's equivalent to the emissions of about 200 vehicles, a drop in the bucket for cities with millions of cars, the majority of which are still gas guzzlers, even in San Francisco and LA. Bayen acknowledges that while emphasizing the cumulative benefit if such efforts were sustained for a longer time. For Manville, the study is a useful proof of concept. "It is a demonstration that if we managed roads better, air would probably be cleaner," he said. According to the article, "Google's study might not just be a one-off, and city officials could decide to make use of the Google research findings, Bayen said, such as by trying to improve traffic congestion on a larger scale..." "Google declined SFGATE's requests for comment on whether the company informed city authorities or rerouted drivers about the study," the article points out.

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