OpenAI's rivals are cutting into ChatGPT's lead. From a report: The top chatbot's market share fell from 69.1% to 45.3% between January 2025 and January 2026 among daily U.S. users of its mobile app. Gemini, in the same time period, rose from 14.7% to 25.1% and Grok rose from 1.6% to 15.2%.

The data, obtained by Big Technology from mobile insights firm Apptopia, indicates the chatbot race has tightened meaningfully over the past year with Google's surge showing up in the numbers. Overall, the chatbot market increased 152% since last January, according to Apptopia, with ChatGPT exhibiting healthy download growth.

On desktop and mobile web, a similar pattern appears, according to analytics firm Similarweb. Visits to ChatGPT went from 3.8 billion to 5.7 billion between January 2025 and January 2026, a 50% increase, while visits to Gemini went from 267.7 million to 2 billion, a 647% increase. ChatGPT is still far and away the leader in visits, but it has company in the race now.

An anonymous reader shares a report: Google Home users, your long nightmare is over. The platform has finally added support for buttons. The release notes for a February 2 update state that several new starter conditions for automations are now available, including "Switch or button pressed."

Smart buttons are physical, programmable switches that you can press to trigger automations or control devices in your smart home, such as turning lights on or off, opening and closing shades, running a Good Night scene, or starting a robot vacuum. A great alternative to voice and app control when you want to control multiple devices, smart buttons are often wireless and generally have several ways to press them: single press, double press, and long press, meaning one button can do multiple things.

Alphabet is plotting to dramatically expand its presence in India [non-paywalled source], with the possibility of taking millions of square feet in new office space in Bangalore, India's tech hub. From a report: Google's parent company has leased one office tower and purchased options on two others in Alembic City, a development in the Whitefield tech corridor, totaling 2.4 million square feet, according to people familiar with the deal. The first tower is expected to open to employees in the coming months, while construction on the remaining two is set to conclude next year.

Options in the real estate industry give would-be tenants the exclusive right to rent, or in some cases buy, a property at a predetermined price within a specific time frame. It's also possible Alphabet will not exercise the option to use the additional towers. If it does take all of the space, the complex could accommodate as many as 20,000 additional staff, which could more than double the company's footprint in India, said the people, asking not to be identified because the plans aren't public. Alphabet currently employs around 14,000 in the country, out of a global workforce of roughly 190,000.

[...] US President Donald Trump's visa restrictions have made it harder to bring foreign talent to America, prompting some companies to recruit more staff overseas. India has become an increasingly important place for US companies to hire, particularly in the race to dominate artificial intelligence.

YouTube has confirmed that it is blocking background playback -- the ability to keep a video's audio running after minimizing the browser or locking the screen -- for non-Premium users across third-party mobile browsers including Samsung Internet, Brave, Vivaldi and Microsoft Edge.

Users began reporting the issue last week, noting that audio would cut out the moment they left the browser, sometimes after a brief "MediaOngoingActivity" notification flashed before media controls disappeared. A Google spokesperson told Android Authority that the platform "updated the experience to ensure consistency," calling background play a Premium-exclusive feature.

"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers.

But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation...

We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality.

The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".]

Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code.
Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time).

Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.

Saturday Nvidia CEO Jensen Huang said they still planned a "huge" investment in OpenAI, according to CNBC.

Friday the Wall Street Journal had reported that Nvidia's plan to invest up to $100 billion in OpenAI "has stalled after some inside the chip giant expressed doubts about the deal, people familiar with the matter said..." [T]he talks haven't progressed beyond the early stages, some of the people said. Now, the two sides are rethinking the future of their partnership, some of the people said. The latest discussions, they said, include an equity investment of tens of billions of dollars as part of OpenAI's current funding round. Nvidia CEO Jensen Huang has privately emphasized to industry associates in recent months that the original $100 billion agreement was nonbinding and not finalized, people familiar with the matter said. He has also privately criticized what he has described as a lack of discipline in OpenAI's business approach and expressed concern about the competition it faces from the likes of Google and Anthropic, some of the people said...

OpenAI is laying the foundation to go public by the end of 2026, and has spent much of the past year racing to secure large amounts of computing capacity to help power OpenAI's future products and growth. The stalled Nvidia pact is a blow to this effort and shows how Chief Executive Sam Altman's penchant for announcing flashy big-ticket deals carries the potential to backfire if the terms have yet to be finalized. In a joint announcement unveiling the September deal with Altman and OpenAI President Greg Brockman, Huang called the deal "the largest computing project in history...." OpenAI went on to sign a string of other agreements with chip and cloud companies that helped fuel a global stock market rally.

But investors have since grown jittery about the startup's ability to pay for these deals, leading to a sell-off in some tech stocks tied to OpenAI. Altman has said that the deals put the startup on the hook for $1.4 trillion in computing commitments — more than 100 times the revenue it was on pace to generate last year. OpenAI executives say the total commitments are lower when you account for overlap in some of the deals, and that the agreements will take place over a long period of time.... Huang has indicated to associates that he still believes it's crucially important to provide OpenAI with financial support in one form or another, in part because OpenAI is one of the chip designer's largest customers, people familiar with the matter said. If OpenAI were to fall behind other AI developers, it could dent Nvidia's sales.
"Speaking to reporters in Taipei, Huang said it was 'nonsense' to say he was unhappy with OpenAI," CNBC reported Saturday: "We are going to make a huge investment in OpenAI. I believe in OpenAI, the work that they do is incredible, they are one of the most consequential companies of our time and I really love working with Sam," he said, referring to OpenAI CEO Sam Altman. "Sam is closing the round (of investment) and we will absolutely be involved," Huang added. "We will invest a great deal of money, probably the largest investment we've ever made."

Asked whether it would be over $100 billion, he said: "No, no, nothing like that."
Elsewhere the Journal has reported that Amazon is in talks to invest up to $50 billion in OpenAI. Thanks to Slashdot reader sinij for sharing the article.

An anonymous reader quotes a report from Reuters: Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google rolled out its artificial intelligence model capable of creating interactive digital worlds with simple prompts. Shares of "Grand Theft Auto" maker Take-Two Interactive fell 10%, online gaming platform Roblox was down over 12%, while videogame engine maker Unity Software dropped 21%.

The AI model, dubbed "Project Genie," allows users to simulate a real-world environment through prompts with text or uploaded images, potentially disrupting how video games have been made for over a decade and forcing developers to adapt to the fast-moving technology. "Unlike explorable experiences in static 3D snapshots, Genie 3 generates the path ahead in real time as you move and interact with the world. It simulates physics and interactions for dynamic worlds," Google said in a blog post on Thursday.

Traditionally, most videogames are built inside a game engine such as Epic Games' "Unreal Engine" or the "Unity Engine", which handles complex processes like in-game gravity, lighting, sound, and object or character physics. "We'll see a real transformation in development and output once AI-based design starts creating experiences that are uniquely its own, rather than just accelerating traditional workflows," said Joost van Dreunen, games professor at NYU's Stern School of Business. Project Genie also has the potential to shorten lengthy development cycles and reduce costs, as some premium titles take around five to seven years and hundreds of millions of dollars to create.

Apple "runs on Anthropic at this point" and that the AI company is powering much of what Apple does internally for product development and internal tools, according to Mark Gurman, the most influential reporter on the Apple beat.

Apple had initially pursued an AI deal with Anthropic before the Google partnership came together, but negotiations fell apart over pricing -- Anthropic reportedly wanted several billion dollars per year and a doubling of fees over time. Apple's deal with Google is costing roughly one billion dollars annually.

Longtime Slashdot reader schwit1 shares a report from CBS News: A former Google engineer has been found guilty on multiple federal charges for stealing the tech giant's trade secrets on artificial intelligence to benefit Chinese companies he secretly worked for, federal prosecutors said. According to the U.S. Attorney's Office for the Northern District of California, a jury on Thursday convicted Linwei Ding on seven counts of economic espionage and seven counts of theft of trade secrets, following an 11-day trial. The 38-year-old, also known as Leon Ding, was hired by Google in 2019 and was a resident of Newark.

According to evidence presented at trial, Ding stole more than 2,000 pages of confidential information containing Google AI trade secrets between May 2022 and April 2023. He uploaded the information to his personal Google Cloud account. Around the same time, Ding secretly affiliated himself with two Chinese-based technology companies. Around June 2022, prosecutors said Ding was in discussions to be the chief technology officer for an early-stage tech company. Several months later, he was in the process of founding his own AI and machine learning company in China, acting as the company's CEO. Prosecutors said Ding told investors that he could build an AI supercomputer by copying and modifying Google's technology.

In late 2023, prosecutors said Ding downloaded the trade secrets to his own personal computer before resigning from Google. According to the superseding indictment, Google uncovered the uploads after finding out that Ding presented himself as CEO of one of the companies during an Beijing investor conference. Around the same time, Ding told his manager he was leaving the company and booked a one-way flight to Beijing. "Silicon Valley is at the forefront of artificial intelligence innovation, pioneering transformative work that drives economic growth and strengthens our national security. The jury delivered a clear message today that the theft of this valuable technology will not go unpunished," U.S. Attorney Craig Missakian said in a statement.

An anonymous reader quotes a report from Wired: Earlier this month, Joseph Thacker's neighbor mentioned to him that she'd preordered a couple of stuffed dinosaur toys for her children. She'd chosen the toys, called Bondus, because they offered an AI chat feature that lets children talk to the toy like a kind of machine-learning-enabled imaginary friend. But she knew Thacker, a security researcher, had done work on AI risks for kids, and she was curious about his thoughts.

So Thacker looked into it. With just a few minutes of work, he and a web security researcher friend named Joel Margolis made a startling discovery: Bondu's web-based portal, intended to allow parents to check on their children's conversations and for Bondu's staff to monitor the products' use and performance, also let anyone with a Gmail account access transcripts of virtually every conversation Bondu's child users have ever had with the toy.

Without carrying out any actual hacking, simply by logging in with an arbitrary Google account, the two researchers immediately found themselves looking at children's private conversations, the pet names kids had given their Bondu, the likes and dislikes of the toys' toddler owners, their favorite snacks and dance moves. In total, Margolis and Thacker discovered that the data Bondu left unprotected -- accessible to anyone who logged in to the company's public-facing web console with their Google username -- included children's names, birth dates, family member names, "objectives" for the child chosen by a parent, and most disturbingly, detailed summaries and transcripts of every previous chat between the child and their Bondu, a toy practically designed to elicit intimate one-on-one conversation. More than 50,000 chat transcripts were accessible through the exposed web portal. When the researchers alerted Bondu about the findings, the company acted to take down the console within minutes and relaunched it the next day with proper authentication measures.

"We take user privacy seriously and are committed to protecting user data," Bondu CEO Fateen Anam Rafid said in his statement. "We have communicated with all active users about our security protocols and continue to strengthen our systems with new protections," as well as hiring a security firm to validate its investigation and monitor its systems in the future.

Google is letting outsiders experiment with DeepMind's Genie 3 "world model" via Project Genie, a tool for generating short, interactive AI worlds. The caveat: it requires a $250/month AI Ultra subscription, is U.S.-only, and has tight limits that make it more of a tech demo than a game engine. Engadget reports: At launch, Project Genie offers three different modes of interaction: World Sketching, exploration and remixing. The first sees Google's Nano Banana Pro model generating the source image Genie 3 will use to create the world you will later explore. At this stage, you can describe your character, define the camera perspective -- be it first-person, third-person or isometric -- and how you want to explore the world Genie 3 is about to generate. Before you can jump into the model's creation, Nano Banana Pro will "sketch" what you're about to see so you can make tweaks. It's also possible to write your own prompts for worlds others have used Genie to generate.

One thing to keep in mind is that Genie 3 is not a game engine. While its outputs can look game-like, and it can simulate physical interactions, there aren't traditional game mechanics here. Generations are also limited to 60 seconds, as is the presentation, which is capped at 24 frames per second and 720p.

Apple has acquired Q.AI, a secretive Israeli startup whose technology can analyze facial skin micro-movements to interpret "silent speech," in a deal valued at close to $2 billion that marks the iPhone maker's second-largest acquisition ever, according to backer GV (formerly Google Ventures).

The four-year-old company was founded in Tel Aviv in 2022 by Aviad Maizels, Yonatan Wexler and Avi Barliya. Patents filed by Q.AI show its technology being deployed in headphones or smart glasses to enable non-verbal communication with an AI assistant. The acquisition comes as Meta's Ray-Ban smart glasses already let wearers talk to its AI, and Google and Snap are preparing to launch competing devices later this year.

An anonymous reader shares a report: Chat & Ask AI, one of the most popular AI apps on the Google Play and Apple App stores that claims more than 50 million users, left hundreds of millions of those users' private messages with the app's chatbot exposed, according to an independent security researcher and emails viewed by 404 Media. The exposed chats showed users asked the app "How do I painlessly kill myself," to write suicide notes, "how to make meth," and how to hack various apps.

The exposed data was discovered by an independent security researcher who goes by Harry. The issue is a misconfiguration in the app's usage of the mobile app development platform Google Firebase, which by default makes it easy for anyone to make themselves an "authenticated" user who can access the app's backend storage where in many instances user data is stored.

Harry said that he had access to 300 million messages from more than 25 million users in the exposed database, and that he extracted and analyzed a sample of 60,000 users and a million messages. The database contained user files with a complete history of their chats with the AI, timestamps of those chats, the name they gave the app's chatbot, how they configured the model, and which specific model they used. Chat & Ask AI is a "wrapper" that plugs into various large language models from bigger companies users can choose from, Including OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini.

An anonymous reader quotes a report from Bloomberg: Investors are souring on the bonds of software companies that service industries ranging from automotive to finance as fast-paced artificial intelligence innovations threaten to upend their business models. [...] Bond prices tumbled as advances in artificial intelligence rack up. Google announced plans to launch an AI assistant to browse for internet surfers Wednesday while a customer support startup, Decagon AI Inc., raised a new round of funding. Such developments are further stoking the angst about AI displacing enterprise software companies, driving a selloff in the sector's stocks and bonds across the globe.

[...] Some say the AI fears weighing on software companies are overdone. "While point-solution software faces disruption risk, large company platforms with complex workflows and proprietary data are better positioned to benefit from AI-driven automation," wrote Union Bancaire Prive in its investment outlook for 2026 released this week. But a recent report by EY-Parthenon flagged that in the UK last year, software and computer services firms issued the highest number of warnings on earnings among listed firms. "Software multiples have compressed amid uncertainty around whether incumbents can defend pricing power and sustain growth in an AI-first work-flow environment," wrote Bruce Richards, chief executive officer and chairman of Marathon Asset Management, in a LinkedIn post last week.

Google is rolling out an "auto browse" AI agent in Chrome that can navigate websites, fill out forms, compare prices, and handle tedious online tasks on a user's behalf. Bloomberg reports: The feature, called auto browse, will allow users to ask an assistant powered by Gemini to complete tasks such as shopping for them without leaving Chrome, said Charmaine D'Silva, a director of product. Chrome users will be able to plan a family trip by asking Gemini to open different airline and hotel websites to compare prices, for instance, D'Silva explained. "Our testers have used it for all sorts of things: scheduling appointments, filling out tedious online forms, collecting their tax documents, getting quotes for plumbers and electricians, checking if their bills are paid, filing expense reports, managing their subscriptions, and speeding up renewing their driving licenses -- a ton of time saved," said Parisa Tabriz, vice president of Chrome, in a blog post.

[...] Chrome's auto browse will be available to US AI pro and AI Ultra subscribers and will use Google Password Manager to sign into websites on a user's behalf. As part of the launch, Google is also bringing its image generation tool, Nano Banana, directly into Chrome. The company said that safeguards have been placed to ensure the agentic AI will not be able to make final calls, such as placing an order, without the user's permission. "We're using AI as well as on-device models to protect people from what's really an ever-evolving landscape, whether it's AI-generated scams or just increasingly sophisticated attackers," Tabiz said during the call.

A bug report filed on the Chromium Issue Tracker inadvertently exposed Google's desktop Android interface for the first time, revealing a system codenamed "Aluminum OS" running on existing Chromebook hardware. The report, ostensibly about Chrome Incognito tabs, included screen captures from an HP Elite Dragonfly 13.5 Chromebook running Android 16.

The status bar has been redesigned for large screens -- taller than the tablet version, displaying time with seconds, date, battery, Wi-Fi, a notification bell, keyboard language indicator and a Gemini icon. The taskbar remains identical to the current implementation, though the mouse cursor now features a subtle tail. Chrome's interface includes an Extensions button, a feature currently exclusive to the desktop browser. Window controls mirror ChromeOS, placing minimize, fullscreen, and close buttons at the top-right.

An open-source AI agent originally called Clawdbot (now renamed Moltbot) is gaining cult popularity among developers for running locally, 24/7, and wiring itself into calendars, messages, and other personal workflows. The hype has gone so far that some users are buying Mac Minis just to host the agent full-time, even as its creator warns that's unnecessary. Business Insider reports: Founded by [creator Peter Steinberger], it's an AI agent that manages "digital life," from emails to home automation. Steinberger previously founded PSPDFKit. In a key distinction from ChatGPT and many other popular AI products, the agent is open source and runs locally on your computer. Users then connect the agent to a messaging app like WhatsApp or Telegram, where they can give it instructions via text.

The AI agent was initially named after the "little monster" that appears when you restart Claude Code, Steinberger said on the "Insecure Agents" podcast. He formed the tool around the question: "Why don't I have an agent that can look over my agents?" [...] It runs locally on your computer 24/7. That's led some people to brush off their old laptops. "Installed it experimentally on my old dusty Intel MacBook Pro," one product designer wrote. "That machine finally has a purpose again."

Others are buying up Mac Minis, Apple's 5"-by-5" computer, to run the AI. Logan Kilpatrick, a product manager for Google DeepMind, posted: "Mac mini ordered." It could give a sales boost to Apple, some X users have pointed out -- and online searches for "Mac Mini" jumped in the last 4 days in the US, per Google Trends. But Steinberger said buying a new computer just to run the AI isn't necessary. "Please don't buy a Mac Mini," he wrote. "You can deploy this on Amazon's Free Tier."

An anonymous reader shares a report: Google on Tuesday announced an expanded set of Android theft-protection features, designed to make its mobile devices less of a target for criminals. Building on existing tools like Theft Detection Lock, Offline Device Lock, and others introduced in 2024, the newly launched updates include stronger authentication safeguards and enhanced recovery tools, the company said.

[...] With the new features, users of Android devices running Android 16 or higher will have more control over the Failed Authentication Lock feature that automatically locks the device after an excessive number of failed login attempts. Now users will have access to a dedicated on/off toggle switch in the device's settings. The devices will also offer stronger protection against a thief trying to guess a device owner's PIN, pattern, or password by increasing the lockout time after failed attempts. Plus, Identity Check, a feature rolled out for Android 15 and higher last year, now covers all features and apps that use biometrics -- like banking apps or the Google Password Manager.

Court documents unsealed last week in a copyright lawsuit against Anthropic reveal that the AI company ran an operation called "Project Panama" to buy millions of physical books, slice off their spines, scan the pages to train its Claude chatbot, and then send the remains to recycling companies.

The company spent tens of millions of dollars on the effort and hired Tom Turvey, a Google executive who had worked on the legally contested Google Books project two decades earlier. Anthropic bought books in batches of tens of thousands from retailers including Better World Books and World of Books. A vendor document noted the company was seeking to scan between 500,000 and two million books.

Before Project Panama, Anthropic co-founder Ben Mann downloaded books from LibGen, a shadow library of pirated material, over 11 days in June 2021. He later shared a link to the Pirate Library Mirror site with colleagues, writing "this is awesome!!!" Meta employees similarly downloaded books from torrent platforms after approval from Mark Zuckerberg, court filings allege, though one engineer wrote that "torrenting from a corporate laptop doesn't feel right." Anthropic settled for $1.5 billion in August without admitting wrongdoing.

An anonymous reader quotes a report from GeekWire: Microsoft on Monday announced Maia 200, the second generation of its custom AI chip, claiming it's the most powerful first-party silicon from any major cloud provider. The company says Maia 200 delivers three times the performance of Amazon's latest Trainium chip on certain benchmarks, and exceeds Google's most recent tensor processing unit (TPU) on others. The chip is already running workloads at Microsoft's data center near Des Moines, Iowa. Microsoft says Maia 200 is powering OpenAI's GPT-5.2 models, Microsoft 365 Copilot, and internal projects from its Superintelligence team. A second deployment at a data center near Phoenix is planned next.

It's part of the larger trend among cloud giants to build their own custom silicon for AI rather than rely solely on Nvidia. [...] The company says Maia 200 offers 30% better performance-per-dollar than its current hardware. Maia 200 also builds on the first-generation chip with a more specific focus on inference, the process of running AI models after they've been trained. [...] Microsoft is also opening the door to outside developers. The company announced a software development kit that will let AI startups and researchers optimize their models for Maia 200. Developers and academics can sign up for an early preview starting today.