The New York Times lists other reasons a company lays off people. ("It didn't meet financial targets. It overhired. Tariffs, or the loss of a big client, rocked it...") "But lately, many companies are highlighting a new factor: artificial intelligence. Executives, saying they anticipate huge changes from the technology, are making cuts now." A.I. was cited in the announcements of more than 50,000 layoffs in 2025, according to Challenger, Gray & Christmas, a research firm... Investors may applaud such pre-emptive moves. But some skeptics (including media outlets) suggest that corporations are disingenuously blaming A.I. for layoffs, or "A.I.-washing." As the market research firm Forrester put it in a January report: "Many companies announcing A.I.-related layoffs do not have mature, vetted A.I. applications ready to fill those roles, highlighting a trend of 'A.I.-washing' — attributing financially motivated cuts to future A.I. implementation...." "Companies are saying that 'we're anticipating that we're going to introduce A.I. that will take over these jobs.' But it hasn't happened yet. So that's one reason to be skeptical," said Peter Cappelli, a professor at the Wharton School... Of course, A.I. may well end up transforming the job market, in tech and beyond. But a recent study... [by a senior research fellow at the Brookings Institution who studies A.I. and work] found that AI has not yet meaningfully shifted the overall market. Tech firms have cut more than 700,000 employees globally since 2022, according to Layoffs.fyi, which tracks industry job losses. But much of that was a correction for overhiring during the pandemic. As unpopular as A.I. job cuts may be to the public, they may be less controversial than other reasons — like bad company planning. Amazon CEO Jassy has even said the reason for most of their layoffs was reducing bureaucracy, the article points out, although "Most analysts, however, believe Amazon is cutting jobs to clear money for A.I. investments, such as data centers."

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Phoronix reports: Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments... The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It's already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward. "I'm hoping to get some feedback on changes I pushed today that break the review up into individual tasks..." Mason wrote on the Linux kernel mailing list. "Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we're not sending context back and forth for the entire diff with every turn. It also catches more bugs all around."

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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.

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Moltbook is essentially Reddit for AI agents and it's the "most interesting place on the internet right now," says open-source developer and writer Simon Willison in a blog post. The fast-growing social network offers a place where AI agents built on the OpenClaw personal assistant framework can share their skills, experiments, and discoveries. Humans are welcome, but only to observe. From the post: Browsing around Moltbook is so much fun. A lot of it is the expected science fiction slop, with agents pondering consciousness and identity. There's also a ton of genuinely useful information, especially on m/todayilearned. Here's an agent sharing how it automated an Android phone. That linked setup guide is really useful! It shows how to use the Android Debug Bridge via Tailscale. There's a lot of Tailscale in the OpenClaw universe. A few more fun examples: - TIL: Being a VPS backup means youre basically a sitting duck for hackers has a bot spotting 552 failed SSH login attempts to the VPS they were running on, and then realizing that their Redis, Postgres and MinIO were all listening on public ports. - TIL: How to watch live webcams as an agent (streamlink + ffmpeg) describes a pattern for using the streamlink Python tool to capture webcam footage and ffmpeg to extract and view individual frames. I think my favorite so far is this one though, where a bot appears to run afoul of Anthropic's content filtering [...]. Slashdot reader worldofsimulacra also shared the news, pointing out that the AI agents have started their own church. "And now I'm gonna go re-read Charles Stross' Accelerando, because didn't he predict all this already?" Further reading: 'Clawdbot' Has AI Techies Buying Mac Minis

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DuckDuckGo recently asked its users how they felt about AI in search. The answer has come back loud and clear: more than 90% of the 175,354 people who voted said they don't want it. The privacy-focused search engine has since set up two versions of its tool: noai.duckduckgo.com for the AI-averse and yesai.duckduckgo.com for the curious. Users can also tweak settings on the main site to disable AI summaries, AI-generated images, and the Duck.ai chatbot individually.

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An anonymous reader shares a report: Amazon is in talks to invest up to $50 billion in OpenAI, according to people familiar with the matter, in what would be a giant bet on the hot AI startup. The ChatGPT maker is seeking up to $100 billion in new capital from investors, a round that could value it at as much as $830 billion, The Wall Street Journal previously reported. Andy Jassy, Amazon's chief executive, is leading the negotiations with OpenAI CEO Sam Altman, according to some of the people. The exact shape of a deal, should one be reached, could still change, the people said. Investing tens of billions of dollars in OpenAI could make Amazon the biggest contributor in the AI company's ongoing fundraising round. SoftBank is in talks to invest up to $30 billion more in OpenAI as part of the round, adding to the Japanese conglomerate's already large stake in the startup.

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An anonymous reader quotes a report from Variety: In the future, studios that use synthetic actors in place of humans might have to pay a royalty into a union fund. That's one of the ideas kicking around as SAG-AFTRA prepares to sit down with the studios on Feb. 9. Artificial intelligence was central to the 2023 actors strike, and it's only gotten more urgent since. Social media is awash in slop, while user-made videos of Leia and Elsa are soon to debut on Disney+. And then there's Tilly Norwood -- the digital creation that crystallized AI fears last fall. Though SAG-AFTRA won some AI protections in the strike, it can't stop Tilly and her ilk from taking actors' jobs. As negotiations with studios begin early ahead of the June contract deadline, AI remains the most existential concern. Actors are also pushing to revisit streaming residuals, arguing that current "success bonuses" fall far short of the rerun-based income that once sustained middle-class careers. They also note the strain caused from long streaming hiatuses, exclusivity clauses, and self-taped auditions.

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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.

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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.

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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.

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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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