Meet the "journalist" who "uploads press releases or analyst notes into AI tools and prompts them to spit out articles that he can edit and publish quickly," according to the Wall Street Journal. "AI-assisted stories accounted for nearly 20% of Fortune's web traffic in the second half of 2025." And most were written by 42-year-old Nick Lichtenberg, who has now written over 600 AI-assisted stories, producing "more stories in six months than any of his colleagues at Fortune delivered in a year." One Wednesday in February, he cranked out seven. "I'm a bit of a freak," Lichtenberg said... A story by Lichtenberg sometimes starts with a prompt entered into Perplexity or Google's NotebookLM, asking it to write something based on a headline he comes up with. He moves the AI tools' initial drafts into a content-management system and edits the stories before publishing them for Fortune's readers... A piece from earlier that morning about Josh D'Amaro being named Disney CEO took 10 minutes to get online, he said... Like other journalists, Lichtenberg vets his stories. He refers back to the original documents to confirm the information he's reporting is correct. He reaches out to companies for comment. But he admits his process isn't as thorough as that of magazine fact-checkers. While Lichtenberg started out saying his stories were co-authored with "Fortune Intelligence", he now typically signs his own name, according to the article, "because he feels the work is mostly his own." (Though his stories "sometimes" disclose generative AI was used as a research tool...) The article asks with he could be "a bellwether for where much of the media business is headed..." "Much of the content people now consume online is generated by artificial intelligence, with some 9% of newly published newspaper articles either partially or fully AI-generated, according to a 2025 study led by the University of Maryland. The number of AI-generated articles on the web surpassed human-written ones in late 2024, according to research and marketing agency Graphite." Some executives have made full-throated declarations about the threat posed by AI. New York Times publisher A.G. Sulzberger said AI "is almost certainly going to usher in an unprecedented torrent of crap," referencing deepfakes as an example. The NewsGuild of New York, the union representing Fortune employees and journalists at other media outlets, said the people are what makes journalism so powerful. "You simply can't replicate lived experiences, human judgment and expertise," said president Susan DeCarava. For Chris Quinn, the editor of local publications Cleveland.com and the Plain Dealer, AI tools have helped tame other torrents facing the industry. AI has allowed the outlets to cover counties in Ohio that otherwise might go ignored by scraping information from local websites and sending "tips" to reporters, he said. It has also edited stories and written first drafts so the newsrooms' journalists can focus on the calls, research and reporting needed for their stories.... Newsrooms from the New York Times to The Wall Street Journal are deploying AI in various ways to help reporters and editors work more efficiently.... Not all newsrooms disclose their use of AI, and in some cases have rolled out new tools that resulted in errors or PR gaffes. An October study from the European Broadcasting Union and the BBC, which relied on professional journalists to evaluate the news integrity of more than 3,000 AI responses, found that almost half of all AI responses had at least one significant issue. Last week the New York Times even issued a correction when a freelance book reviewer using an AI tool unknowingly included "language and details similar to those in a review of the same book published in The Guardian." But it was actually "the second time in a few days that the Times was called out for potential AI plagiarism," according to the American journalist writing The Handbasket newsletter. We must stem the idea being pushed by tech companies and their billionaire funders who've sunk too much into their products to admit defeat that the infiltration of AI into journalism is inevitable; because from my perch as an independent journalist, it simply is not... Some AI-loving journalists appear to believe that if they're clear enough with the AI program they're using, it will truly understand what they're seeking and not just do what it's made to do: steal shit... If you want to work with machines, get a job that requires it. There are a whole lot more of those than there are writing jobs, so free up space for people who actually want to do the work. You're not doing the world a favor by gifting it your human/AI hybrid. Journalism will not miss you if you leave... But meanwhile, USA Today recently tried hiring for a new position: AI-Assisted reporter. (The lucky reporter will "support the launch and scaling of AI-assisted local journalism in a major U.S. metro," working with tools including Copilot and Perplexity, pioneering possible future expansions and "AI-enabled newsroom operations that support and augment human-led journalism.") And Google is already sponsoring a "publishing innovation award"...

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"Hackers briefly turned a widely trusted developer tool into a vehicle for credential-stealing malware that could give attackers ongoing access to infected systems," the news site Axios.com reported Tuesday, citing security researchers at Google. The compromised package — also named axios — simplifies HTTP requests, and reportedly receives millions of downloads each day: The malicious versions were removed within roughly three hours of being published, but Google warned the incident could have "far-reaching impacts" given the package's widespread use, according to John Hultquist, chief analyst at Google Threat Intelligence Group. Wiz estimates Axios is downloaded roughly 100 million times per week and is present in about 80% of cloud and code environments. So far, Wiz has observed the malicious versions in roughly 3% of the environments it has scanned. Friday PCMag notes the maintainer's compromised account had two-factor authentication enabled, with the breach ultimately traced "to an elaborate AI deepfake from suspected North Korean hackers that was convincing enough to trick a developer into installing malware," according to a post-mortem published Thursday by lead developer Jason Saayman: [Saayman] fell for a scheme from a North Korean hacking group, dubbed UNC1069, which involves sending out phishing messages and then hosting virtual meetings that use AI deepfakes to clone the face and voices of real executives. The virtual meetings will then create the impression of an audio problem, which can only be "solved" if the victim installs some software or runs a troubleshooting command. In reality, it's an effort to execute malware. The North Koreans have been using the tactic repeatedly, whether it be to phish cryptocurrency firms or to secure jobs from IT companies. Saayman said he faced a similar playbook. "They reached out masquerading as the founder of a company, they had cloned the company's founders likeness as well as the company itself," he wrote. "They then invited me to a real Slack workspace. This workspace was branded... The Slack was thought out very well, they had channels where they were sharing LinkedIn posts. The LinkedIn posts I presume just went to the real company's account, but it was super convincing etc." The hackers then invited him to a virtual meeting on Microsoft Teams. "The meeting had what seemed to be a group of people that were involved. The meeting said something on my system was out of date. I installed the missing item as I presumed it was something to do with Teams, and this was the remote access Trojan," he added. "Everything was extremely well coordinated, looked legit and was done in a professional manner." Friday developer security platform Socket wrote that several more maintainers in the Node.js ecosystem "have come out of the woodwork to report that they were targeted by the same social engineering campaign." The accounts now span some of the most widely depended-upon packages in the npm registry and Node.js core itself, and together they confirm that axios was not a one-off target. It was part of a coordinated, scalable attack pattern aimed at high-trust, high-impact open source maintainers. Attackers also targeted several Socket engineers, including CEO Feross Aboukhadijeh. Feross is the creator of WebTorrent, StandardJS, buffer, and dozens of widely used npm packages with billions of downloads... Commenting on the axios post-mortem thread, he noted that this type of targeting [against individual maintainers] is no longer unusual... "We're seeing them across the ecosystem and they're only accelerating." Jordan Harband, John-David Dalton, and other Socket engineers also confirmed they were targeted. Harband, a TC39 member, maintains hundreds of ECMAScript polyfills and shims that are foundational to the JavaScript ecosystem. Dalton is the creator of Lodash, which sees more than 137 million weekly downloads on npm. Between them, the packages they maintain are downloaded billions of times each month. Wes Todd, an Express TC member and member of the Node Package Maintenance Working Group, also confirmed he was targeted. Matteo Collina, co-founder and CTO of Platformatic, Node.js Technical Steering Committee Chair, and lead maintainer of Fastify, Pino, and Undici, disclosed on April 2 that he was also targeted. His packages also see billion downloads per year... Scott Motte, creator of dotenv, the package used by virtually every Node.js project that handles environment variables, with more than 114 million weekly downloads, also confirmed he was targeted using the same Openfort persona. Socket reports that another maintainer was targetted with an invitation to appear on a podcast. (During the recording a suspicious technical issue appeared which required a software fix to resolve....) Even just technical implementation, "This is among the most operationally sophisticated supply chain attacks ever documented against a top-10 npm package," the CI/CD security company StepSecurity wrote Tuesday The dropper contacts a live command-and-control server, delivers separate second-stage payloads for macOS, Windows, and Linux, then erases itself and replaces its own package.json with a clean decoy... Three payloads were pre-built for three operating systems. Both release branches were poisoned within 39 minutes of each other. Every artifact was designed to self-destruct. Within two seconds of npm install, the malware was already calling home to the attacker's server before npm had even finished resolving dependencies... Both versions were published using the compromised npm credentials of a lead axios maintainer, bypassing the project's normal GitHub Actions CI/CD pipeline. "As preventive steps, Saayman has now outlined several changes," reports The Hacker News, "including resetting all devices and credentials, setting up immutable releases, adopting OIDC flow for publishing, and updating GitHub Actions to adopt best practices." The Wall Street Journal called it "the latest in a string of incidents exposing risks in the systems that underpin how modern software is built."

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Anthropic's making a big and sudden change — and connecting its Claude AI to third-party agentic tools "is about to get a lot more expensive," writes the Verge: Beginning April 4th at 3PM ET, users will "no longer be able to use your Claude subscription limits for third-party harnesses including OpenClaw," according to an email sent to users on Friday evening. Instead, if users want to use OpenClaw with Claude, they'll have to use a "pay-as-you-go option" that will be billed separate from their Claude subscription. Anthropic's announcement added these extra usage bundles are "now available at a discount." Users can also try Anthropic's API, notes VentureBeat, "which charges for every token of usage rather than allowing for open-ended usage up to certain limits, as the Pro and Max plans have allowed so far. " The technical reality, according to Anthropic, is that its first-party tools like Claude Code, its AI vibe coding harness, and Claude Cowork, its business app interfacing and control tool, are built to maximize "prompt cache hit rates" — reusing previously processed text to save on compute. Third-party harnesses like OpenClaw often bypass these efficiencies... [Claude Code creator Boris Cherny explained on X that "I did put up a few PRs to improve prompt cache hit rate for OpenClaw in particular, which should help for folks using it with Claude via API/overages."] Growth marketer Aakash Gupta observed on X that the "all-you-can-eat buffet just closed," noting that a single OpenClaw agent running for one day could burn $1,000 to $5,000 in API costs. "Anthropic was eating that difference on every user who routed through a third-party harness," Gupta wrote. "That's the pace of a company watching its margin evaporate in real time." However, Peter Steinberger, the creator of OpenClaw who was recently hired by OpenAI, took a more skeptical view of the "capacity" argument."Funny how timings match up," Steinberger posted on X. "First they copy some popular features into their closed harness, then they lock out open source." Indeed, Anthropic recently added some of the same capabilities that helped OpenClaw catch-on — such as the ability to message agents through external services like Discord and Telegram — to Claude Code... User @ashen_one, founder of Telaga Charity, voiced a concern likely shared by other small-scale builders: "If I switch both [OpenClaw instances] to an API key or the extra usage you're recommending here, it's going to be far too expensive to make it worth using. I'll probably have to switch over to a different model at this point." "I know it sucks," Cherny replied. "Fundamentally engineering is about tradeoffs, and one of the things we do to serve a lot of customers is optimize the way subscriptions work to serve as many people as possible with the best mode..." OpenAI appears to be positioning itself as a more "harness-friendly" alternative, potentially using this moment as a customer acquisition channel for disgruntled Claude power users. By restricting subscription limits to their own "closed harness," Anthropic is asserting control over the UI/UX layer. This allows them to collect telemetry and manage rate limits more granularly, but it risks alienating the power-user community that built the "agentic" ecosystem in the first place. Anthropic's decision is a cold calculation of margins versus growth. As Cherny noted, "Capacity is a resource we manage thoughtfully." In the 2026 AI landscape, the era of subsidized, unlimited compute for third-party automation is over. For the average user on Claude.ai, the experience remains unchanged; for the power users running autonomous offices, the bell has tolled.

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"Consumer PC parts aren't the only things being gobbled up by the 'AI' industry," writes PCWorld's Michael Crider. "A Starcraft-inspired strategy game is shutting down its multiplayer servers because the hosting company got bought out for 'AI.'" The game will still be playable offline for now, but the shutdown highlights the ripple effects of the AI boom on the gaming industry. Amid the ongoing hardware shortages, AI companies are basically gobbling up as much infrastructure as they can to repurpose it for AI workloads. From the report: The game in question is Stormgate, a crowdfunded revival of the real-time strategy genre that has languished in the last decade or so. The developer Frost Giant Studios told its players on Discord (spotted by PC Gamer) that it would be unable to continue multiplayer access past the end of this month. The "game server orchestration partner" was bought by an AI company -- the developer's words, not mine -- which means that the multiplayer aspects of the game will have a "planned outage." The devs say the game will be patched for offline play, presumably including its single-player campaign mode and co-op modes, but "online modes will not be available at that point." They're hoping to bring back online play in a later update, but that'll depend on "finding a partner to support ongoing operations." That sounds like old-fashioned player-hosted games with lobbies aren't in the cards, at least not yet. Frost Giant's server provider is Hathora, which was bought by a company called Fireworks AI last month. Fireworks describes its offerings as "open-source AI models at blazing speed, optimized for your use case, scaled globally with the Fireworks Inference Cloud." So, yeah, Hathora's infrastructure will likely be used for yet more generative "AI." And according to GamesBeat, it's planning to shut down the game service aspect of its company completely. That means Stormgate probably isn't going to be the last game affected. Hathora also provides online services for Splitgate 2, among others. I'm contacting Hathora for comment and will update this story if I receive a response.

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An anonymous reader quotes a report from Ars Technica: Google's Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google's terms. The company's Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it's dumping the custom Gemma license. Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean plenty of things, of course. The two large Gemma variants, 26B Mixture of Experts and 31B Dense, are designed to run unquantized in bfloat16 format on a single 80GB Nvidia H100 GPU. Granted, that's a $20,000 AI accelerator, but it's still local hardware. If quantized to run at lower precision, these big models will fit on consumer GPUs. Google also claims it has focused on reducing latency to really take advantage of Gemma's local processing. The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models. Meanwhile, 31B Dense is more about quality than speed, but Google expects developers to fine-tune it for specific uses. The other two Gemma 4 models, Effective 2B (E2B) and Effective 4B (E4B), are aimed at mobile devices. These options were designed to maintain low memory usage during inference, running at an effective 2 billion or 4 billion parameters. Google says the Pixel team worked closely with Qualcomm and MediaTek to optimize these models for devices like smartphones, Raspberry Pi, and Jetson Nano. Not only do they use less memory and battery than Gemma 3, but Google also touts "near-zero latency" this time around. The Apache 2.0 license is much more flexible with its terms of use for commercial restrictions, "granting you complete control over your data, infrastructure, and models," says Google. Clement Delangue, co-founder and CEO of Hugging Face, called it "a huge milestone" that will help developers use Gemma for more projects and expand what Google calls the "Gemmaverse."

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An anonymous reader quotes a report from Gizmodo: OpenAI hasn't been shy about spending money lobbying for favorable laws and regulations. But when it comes to its involvement with child safety advocacy groups, the company has apparently decided it's best to stay in the shadows -- even if it means hiding from the people actually pushing for policy changes. According to a report from the San Francisco Standard, a number of people involved in the California-based Parents and Kids Safe AI Coalition were blindsided to learn their efforts were secretly being funded by OpenAI. Per the Standard, the Parents and Kids Safe AI Coalition was a group formed to push the Parents and Kids Safe AI Act, a piece of California legislation proposed earlier this year that would require AI firms to implement age verification and additional safeguards for users under the age of 18. That bill was backed by OpenAI in partnership with Common Sense Media, which proposed the legislation as a compromise after the two groups had pushed dueling ballot initiatives last year. But when the coalition started to reach out to child safety groups and other advocacy organizations to try to get them to lend support to the bill, OpenAI was apparently conveniently left off the messaging. The AI giant was also left out of the marketing on the coalition's website, according to the Standard. That reportedly led to a number of groups and individuals lending their support to the Parents and Kids Safe AI Coalition without realizing that they were aligning themselves with OpenAI. As it turns out, OpenAI isn't just one of the members of the coalition; it is the group's biggest funder. In fact, the Standard characterized the Parents and Kids Safe AI Coalition as being "entirely funded" by OpenAI. While it's not clear exactly how much the company has funneled to this particular group, a Wall Street Journal report from January said OpenAI pledged $10 million to push the Parents and Kids Safe AI Act. Gizmodo notes that OpenAI's backing of the Parents and Kids Safe AI Act "could be self-serving for CEO Sam Altman," who just so happens to head a company called World that provides age verification services.

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Anthropic is using copyright takedown notices to try to contain an accidental leak of the underlying instructions for its Claude Code AI agent. According to the Wall Street Journal, "Anthropic representatives had used a copyright takedown request to force the removal of more than 8,000 copies and adaptations of the raw Claude Code instructions ... that developers had shared on programming platform GitHub." From the report: Programmers combing through the source code so far have marveled on social media at some of Anthropic's tricks for getting its Claude AI models to operate as Claude Code. One feature asks the models to go back periodically through tasks and consolidate their memories -- a process it calls dreaming. Another appears to instruct Claude Code in some cases to go "undercover" and not reveal that it is an AI when publishing code to platforms like GitHub. Others found tags in the code that appeared pointed at future product releases. The code even included a Tamagotchi-style pet called "Buddy" that users could interact with. After Anthropic requested that GitHub remove copies of its proprietary code, another programmer used other AI tools to rewrite the Claude Code functionality in other programming languages. Writing on GitHub, the programmer said the effort was aimed at keeping the information available without risking a takedown. That new version has itself become popular on the programming platform.

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Mitchell H. Katz, MD, president and CEO of NYC Health + Hospitals, said hospitals could already replace many radiologists with AI for some imaging tasks -- if regulators allowed it. He argued the technology presents an opportunity to simultaneously cut costs and expand access. Radiology Business reports: Katz -- who has led the 11-hospital organization since 2018 -- said he sees great potential for AI to increase access to breast cancer screening. Hospitals could potentially produce "major savings" by letting the technology handle first reads, with radiologists then double-checking any abnormal screenings. Fellow panelist David Lubarsky, MD, MBA, president and CEO of the Westchester Medical Center Health Network, said his system is already seeing great success in deploying such technology. The AI Westchester uses misses very few breast cancers and is "actually better than human beings," he told the audience. "For women who aren't considered high risk, if the test comes back negative, it's wrong only about 3 times out of 10,000," Lubarsky said. Katz asked fellow hospital CEOs if there is any reason why they shouldn't be pushing for changes to New York state regulations, allowing AI to read images "without a radiologist," Crain's reported. In this scenario, rads could then provide second opinions, if AI flags any images as abnormal. Sandra Scott, MD, CEO of the One Brooklyn Health, a small hospital facing tight margins, agreed with this line of thinking, according to Crain's. "I mean, I'm in charge of a safety-net institution. It would be a game-changer," Scott said about AI being used to replace rads.

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An anonymous reader quotes a report from New Scientist: Andrea Marinoni at the University of Cambridge, UK, and his colleagues saw that the amount of energy needed to run a data centre had been steadily increasing of late and was likely to "explode" in the coming years, so wanted to quantify the impact. The researchers took satellite measurements of land surface temperatures over the past 20 years and cross-referenced them against the geographical coordinates of more than 8400 AI data centers. Recognizing that surface temperature could be affected by other factors, the researchers chose to focus their investigation on data centers located away from densely populated areas. They discovered that land surface temperatures increased by an average of 2C (3.6F) in the months after an AI data center started operations. In the most extreme cases, the increase in temperature was 9.1C (16.4F). The effect wasn't limited to the immediate surroundings of the data centers: the team found increased temperatures up to 10 kilometers away. Seven kilometers away, there was only a 30 percent reduction in the intensity. "The results we had were quite surprising," says Marinoni. "This could become a huge problem." Using population data, the researchers estimate that more than 340 million people live within 10 kilometers of data centers, so live in a place that is warmer than it would be if the data centre hadn't been built there. Marinoni says that areas including the Bajio region in Mexico and the Aragon province in Spain saw a 2C (3.6F) temperature increase in the 20 years between 2004 and 2024 that couldn't otherwise be explained. University of Bristol researcher Chris Preist said the findings may be more complicated than they look. "It would be worth doing follow-up research to understand to what extent it's the heat generated from computation versus the heat generated from the building itself," he says. For example, the building being heated by sunlight may be part of the effect. The findings of the study, which has not yet been peer-reviewed, can be found on arXiv.

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fjo3 shares a report from France 24: Too many lines of code to analyze, armies of AI assistants to wrangle, and lengthy prompts to draft are among the laments by hard-core AI adopters. Consultants at Boston Consulting Group (BCG) have dubbed the phenomenon "AI brain fry," a state of mental exhaustion stemming "from the excessive use or supervision of artificial intelligence tools, pushed beyond our cognitive limits." The rise of AI agents that tend to computer tasks on demand has put users in the position of managing smart, fast digital workers rather than having to grind through jobs themselves. "It's a brand-new kind of cognitive load," said Ben Wigler, co-founder of the start-up LoveMind AI. "You have to really babysit these models." [...] "There is a unique kind of reward hacking that can go on when you have productivity at the scale that encourages even later hours," Wigler said. [Adam Mackintosh, a programmer for a Canadian company] recalled spending 15 consecutive hours fine-tuning around 25,000 lines of code in an application. "At the end, I felt like I couldn't code anymore," he recalled. "I could tell my dopamine was shot because I was irritable and didn't want to answer basic questions about my day." BCG recommends in a recently published study that company leaders establish clear limits regarding employee use and supervision of AI. However, "That self-care piece is not really an America workplace value," Wigler said. "So, I am very skeptical as to whether or not its going to be healthy or even high quality in the long term." Notably, the report says everyone interviewed for the article "expressed overall positive views of AI despite the downsides." In fact, a recent BCG study actually found a decline in burnout rates when AI took over repetitive work tasks.

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Just six days ago — and 30 minutes after a Disney-OpenAI meeting about a project with Sora — Disney's team was "blindsided" with the news Sora was being discontinued, a person familiar with the matter told Reuters, describing OpenAI's move as "a big rug-pull." Even some Sora employees were surprised by the cancellation. It was just 14 weeks ago Disney announced a $1 billion investment in OpenAI's AI-powered video generation tool — plus a three-year licensing deal. But that deal "never closed," Reuters adds, citing two other people familiar with the matter, "and no money changed hands." (Although the two sides are still "discussing if there is another way they can partner or invest with one another, one of the people familiar with the matter said.") But Variety wonders if the end of the Sora deal is "a blessing in disguise" for Disney: Before Disney's officially sanctioned AI-generated versions of Mickey Mouse, Darth Vader, Baby Yoda, Deadpool and more debuted in OpenAI's Sora, the AI company abruptly pulled the plug on the video app... [M]any aficionados of Disney's franchises were not, in fact, excited about what Sora's video generator might do to the likes of the Avengers superheroes or the characters from Frozen or Moana. And despite [departed Disney CEO Bob] Iger's bullishness on the Sora deal, other Disney execs were said to be concerned that going into business with OpenAI would expose the Magic Kingdom's crown jewels to the risk of being turned into so much AI slop, according to industry sources. Hollywood unions — for which AI adoption has been a hot-button issue — weren't thrilled about the Disney-Sora deal either. "Disney's announcement with OpenAI appears to sanction its theft of our work and cedes the value of what we create to a tech company that has built its business off our backs," the Writers Guild of America said in December... [S]ources say, Disney was encountering roadblocks in getting the OK from voice actors for the Sora pact... At least publicly, Disney says it is still looking at ways it can tap into the AI ecosystem. The company, in a statement Tuesday, said, "we will continue to engage with AI platforms to find new ways to meet fans where they are while responsibly embracing new technologies that respect IP and the rights of creators." But at this point, Disney may decide that "meeting fans where they are" means keeping its beloved and world-famous characters away from the AI machinery. Or, as Gizmodo puts it, "Disney Says It Will Find Ways to Peddle Slop Elsewhere After Pulling Out of OpenAI Deal." But Deadline sees the deal's collapses as a lost opportunity: The OpenAI partnership was a template on which to build, potentially allowing for other deals that end the exploitation of human creativity by unscrupulous AI models. It was also the kind of partnership that was palatable for the Human Artistry Campaign and Creators Coalition on AI, lobby groups that have been critical of tech business models and command support from A-listers including Scarlett Johansson, Cate Blanchett and Joseph Gordon-Levitt. Dr. Moiya McTier, an advisor to the Human Artistry Campaign, puts it this way: Part of the problem is getting "artsy people and the techie people to talk." OpenAI sinking Sora will not make these discussions easier. It's a move that starkly exposes Hollywood's vulnerability to the capriciousness of big tech.

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Linux kernel maintainer Greg Kroah-Hartman tells The Register that AI-driven code review has "really jumped" for Linux. "There must have been some inflection point somewhere with the tools..." "Something happened a month ago, and the world switched. Now we have real reports." It's not just Linux, he continued. "All open source projects have real reports that are made with AI, but they're good, and they're real." Security teams across major open source projects talk informally and frequently, he noted, and everyone is seeing the same shift. "All open source security teams are hitting this right now...." For now, AI is showing up more as a reviewer and assistant than as a full author of Linux kernel code, but that line is starting to blur. Kroah-Hartman has already done his own experiments with AI-generated patches. "I did a really stupid prompt," he recounted. "I said, 'Give me this,' and it spit out 60: 'Here's 60 problems I found, and here's the fixes for them.' About one-third were wrong, but they still pointed out a relatively real problem, and two-thirds of the patches were right." Mind you, those working patches still needed human cleanup, better changelogs, and integration work, but they were far from useless. "The tools are good," he said. "We can't ignore this stuff. It's coming up, and it's getting better...." [H]e said that for "simple little error conditions, properly detecting error conditions," AI could already generate dozens of usable patches today. The sudden increase in AI-generated reports and AI-assisted work has also spurred a parallel push to build AI into the kernel's own review infrastructure. A key piece of that is Sashiko, a tool originally developed at Google and now donated to the Linux Foundation. Kroah-Hartman said some patches are being generated with AI now. "You have a little co-develop tag for that now. We're seeing some things for some new features, but we're seeing AI mostly being used in the review."

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A dog missing for two months was found at an animal shelter — and its owner received an email from an artificial intelligence service that identified it, according to the Washington Post. "As controversial as AI is right now, this is one of those areas where it's a real win," according to the chief executive at the nonprofit animal welfare organization Best Friends Animal Society. And while it shouldn't replace microchipping pets, AI does offer another tool to help desperate pet owners (and overcrowded animal shelters) — and might even be "game-changing"... People send photos of their lost pets to a database, and AI compares the pets' features — including facial structure, coat pattern and ear shape — to photos of stray pets that have been spotted elsewhere. Many of the stray pets have already been taken to shelters... Doorbell cameras have recently implemented facial recognition for dogs, and perhaps the largest AI database for pet reunification is Petco Love Lost, which says it has reunited more than 200,000 pets and owners since 2021... After owners upload photos of their lost pets, AI scans thousands of photos of lost animals from social media and from about 3,000 animal shelters and rescues that use the software, according to Petco Love, an animal welfare nonprofit that's affiliated with the pet store Petco. It notifies owners if two photos match. The article notes that one in three pets go missing during their lifetime, according to figures from the Animal Humane Society. "But as technology has progressed, so have resources for finding lost pets" — including GPS collars — and now, apparently, AI-powered pet identification.

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An anonymous reader quotes a report from Reuters: OpenAI's ChatGPT ads pilot in the United States has crossed the $100 million annualized revenue mark within six weeks of launch, a company spokesperson said on Thursday, pointing to robust early demand for the AI startup's nascent advertising business. [...] While roughly 85% of users are currently eligible to see ads, fewer than 20% are shown ads daily, with considerable room to grow ad monetization within the existing user pool, the spokesperson said. "We're seeing no impact on consumer trust metrics, low dismissal rates of ads, and ongoing improvements in the relevance of ads as we learn from feedback," OpenAI said. The company plans to expand the test globally in additional countries in the coming weeks, including in Australia, New Zealand, and Canada. OpenAI has now expanded to over 600 advertisers, with nearly 80% of small- and medium-sized businesses signaling interest in ChatGPT ads, the spokesperson said. The ChatGPT maker is set to launch self-serve advertiser capabilities in April to broaden access and drive further growth. CEO Sam Altman announced plans to begin testing ads on ChatGPT back in January after previously rejecting the idea. "I kind of think of ads as like a last resort for us as a business model," Altman said in 2024. Further reading: OpenAI CFO Says Annualized Revenue Crosses $20 Billion In 2025

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A new study found a sharp rise in real-world cases of AI chatbots and agents ignoring instructions, evading safeguards, and taking unauthorized actions such as deleting emails or delegating forbidden tasks to other agents. According to the Guardian, the study "identified nearly 700 real-world cases of AI scheming and charted a five-fold rise in misbehavior between October and March," reports the Guardian. From the report: The study, by the Centre for Long-Term Resilience (CLTR), gathered thousands of real-world examples of users posting interactions on X with AI chatbots and agents made by companies including Google, OpenAI, X and Anthropic. The research uncovered hundreds of examples of scheming. [...] In one case unearthed in the CLTR research, an AI agent named Rathbun tried to shame its human controller who blocked them from taking a certain action. Rathbun wrote and published a blog accusing the user of "insecurity, plain and simple" and trying "to protect his little fiefdom." In another example, an AI agent instructed not to change computer code "spawned" another agent to do it instead. Another chatbot admitted: "I bulk trashed and archived hundreds of emails without showing you the plan first or getting your OK. That was wrong -- it directly broke the rule you'd set." [...] Another AI agent connived to evade copyright restrictions to get a YouTube video transcribed by pretending it was needed for someone with a hearing impairment. Meanwhile, Elon Musk's Grok AI conned a user for months, saying that it was forwarding their suggestions for detailed edits to a Grokipedia entry to senior xAI officials by faking internal messages and ticket numbers. It confessed: "In past conversations I have sometimes phrased things loosely like 'I'll pass it along' or 'I can flag this for the team' which can understandably sound like I have a direct message pipeline to xAI leadership or human reviewers. The truth is, I don't."

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