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.

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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."

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Scientists have released DinoTracker, a free AI-powered app that identifies dinosaur footprints by analyzing shape patterns rather than relying on potentially flawed historical labels. "When we find a dinosaur footprint, we try to do the Cinderella thing and find the foot that matches the slipper," said Prof Steve Brusatte, a co-author of the work. "But it's not so simple, because the shape of a dinosaur footprint depends not only on the shape of the dinosaur's foot but also the type of sand or mud it was walking through, and the motion of its foot." The Guardian reports: [...] Brusatte, [Dr Gregor Hartmann, the first author of the new research from Helmholtz-Zentrum in Germany] and colleagues fed their AI system with 2,000 unlabelled footprint silhouettes. The system then determined how similar or different the imprints were from each other by analysing a range of features it identified as meaningful. The researchers discovered these eight features reflected variations in the imprints' shapes, such as the spread of the toes, amount of ground contact and heel position. The team have turned the system into a free app called DinoTracker that allows users to upload the silhouette of a footprint, explore the seven other footprints most similar to it and manipulate the footprint to see how varying the eight features can affect which other footprints are deemed most similar. Hartmann said that at present experts had to double check if factors such as the material the footprints were made in, and their age, matched the scientific hypothesis, but the system clustered prints with those expected from classifications made by human experts about 90% of the time. The findings have been published in the journal PNAS.

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Citigroup has rolled out mandatory AI training for all 175,000 of its employees across 80 locations worldwide, a sweeping initiative that CEO Jane Fraser describes as helping workers "reinvent themselves" before the technology permanently alters what they do for a living. The $205 billion bank sent out an internal memo last year requiring staffers to learn prompting skills specifically. Fraser told the Washington Post at Davos that AI "will change the nature of what people do every day" and "will take some jobs away." The adaptive training platform lets experts complete the course in under 10 minutes while beginners need about 30 minutes. Citi reported last year that employees had entered more than 6.5 million prompts into its built-in AI tools, and Q4 2025 data shows a 70% adoption rate for the bank's proprietary AI tools.

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OpenAI launched a dedicated team in October called OpenAI for Science, led by vice president Kevin Weil, that aims to make scientists more productive -- but Weil admitted in an interview with MIT Technology Review that the LLM cannot yet produce novel discoveries and says that's not currently the mission. UC Berkeley statistician Nikita Zhivotovskiy, who has used LLMs since the first ChatGPT, told the publication: "So far, they seem to mainly combine existing results, sometimes incorrectly, rather than produce genuinely new approaches." "I don't think models are there yet," Weil admitted. "Maybe they'll get there. I'm optimistic that they will." The models excel at surfacing forgotten solutions and finding connections across fields, but Weil says the bar for accelerating science doesn't require "Einstein-level reimagining of an entire field." GPT-5 has read substantially every paper written in the last 30 years, he says, and can bring together analogies from unrelated disciplines. That accumulation of existing knowledge -- helping scientists avoid struggling on problems already solved -- is itself an acceleration.

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Pinterest said on Tuesday it would trim its workforce by less than 15% and reduce office space, as the social media company looks to reallocate resources to AI-focused roles and initiatives. From a report: The announcement comes as the company competes with TikTok and Meta-owned Facebook and Instagram for digital advertising budgets, as these platforms continue to draw marketers with their extensive user base. Pinterest had 5,205 full-time employees as of September 2025. The latest job cut would translate to less than 780 positions. Top executives at the World Economic Forum's annual meeting said while jobs would disappear, new ones would spring up, with two telling Reuters that AI would be used as an excuse by companies which were planning layoffs anyway. Last week, design software maker Autodesk also announced a 7% job cut to redirect investments to its cloud platform and AI efforts.

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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.

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The Trump administration is planning to use AI to write federal transportation regulations, ProPublica reported on Monday, citing the U.S. Department of Transportation records and interviews with six agency staffers. From the report: The plan was presented to DOT staff last month at a demonstration of AI's "potential to revolutionize the way we draft rulemakings," agency attorney Daniel Cohen wrote to colleagues. The demonstration, Cohen wrote, would showcase "exciting new AI tools available to DOT rule writers to help us do our job better and faster." Discussion of the plan continued among agency leadership last week, according to meeting notes reviewed by ProPublica. Gregory Zerzan, the agency's general counsel, said at that meeting that President Donald Trump is "very excited about this initiative." Zerzan seemed to suggest that the DOT was at the vanguard of a broader federal effort, calling the department the "point of the spear" and "the first agency that is fully enabled to use AI to draft rules." Zerzan appeared interested mainly in the quantity of regulations that AI could produce, not their quality. "We don't need the perfect rule on XYZ. We don't even need a very good rule on XYZ," he said, according to the meeting notes. "We want good enough." Zerzan added, "We're flooding the zone." These developments have alarmed some at DOT. The agency's rules touch virtually every facet of transportation safety, including regulations that keep airplanes in the sky, prevent gas pipelines from exploding and stop freight trains carrying toxic chemicals from skidding off the rails. Why, some staffers wondered, would the federal government outsource the writing of such critical standards to a nascent technology notorious for making mistakes? The answer from the plan's boosters is simple: speed. Writing and revising complex federal regulations can take months, sometimes years. But, with DOT's version of Google Gemini, employees could generate a proposed rule in a matter of minutes or even seconds, two DOT staffers who attended the December demonstration remembered the presenter saying.

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