Meta has struck a new deal with geothermal startup XGS Energy to supply 150 megawatts of carbon-free electricity for its New Mexico data center. "Advances in AI require continued energy to support infrastructure development," Urvi Parekh, global head of energy at Meta, said in a press release. "With next-generation geothermal technologies like XGS ready for scale, geothermal can be a major player in supporting the advancement of technologies like AI as well as domestic data center development." The Verge reports: Geothermal plants generate electricity using Earth's heat; typically drawing up hot fluids or steam from natural reservoirs to turn turbines. That tactic is limited by natural geography, however, and the US gets around half a percent of its electricity from geothermal sources. Startups including XGS are trying to change that by making geothermal energy more accessible. Last year, Meta made a separate 150MW deal with Sage Geosystems to develop new geothermal power plants. Sage is developing technologies to harness energy from hot, dry rock formations by drilling and pumping water underground, essentially creating artificial reservoirs. Google has its own partnership with another startup called Fervo developing similar technology.

XGS Energy is also seeking to exploit geothermal energy from dry rock resources. It tries to set itself apart by reusing water in a closed-loop process designed to prevent water from escaping into cracks in the rock. The water it uses to take advantage of underground heat circulates inside a steel casing. Conserving water is especially crucial in a drought-prone state like New Mexico, where Meta is expanding its Los Lunas data center. Meta declined to say how much it's spending on this deal with XGS Energy. The initiative will roll out in two phases with a goal of being operational by 2030.

Meta's standalone AI app is broadcasting users' supposedly private conversations with the chatbot to the public, creating what could amount to a widespread privacy breach. Users appear largely unaware that hitting the app's share button publishes their text exchanges, audio recordings, and images for anyone to see.

The exposed conversations reveal sensitive information: people asking for help with tax evasion, whether family members might face arrest for proximity to white-collar crimes, and requests to write character reference letters that include real names of individuals facing legal troubles. Meta provides no clear indication of privacy settings during posting, and if users log in through Instagram accounts set to public, their AI searches become equally visible.

Meta has invested $14.3 billion in Scale AI while recruiting the startup's CEO to join its AI team, marking an aggressive move by the social media giant to accelerate its AI development efforts. The unusual deal gives Meta a 49% non-voting stake in Scale, valuing the company at more than $29 billion. Scale co-founder Alexandr Wang will join Meta's "superintelligence" unit, which focuses on building AI systems that perform as well as humans -- a theoretical milestone known as artificial general intelligence.

Wang will remain on Scale's board while Jason Droege takes over as interim CEO. The investment represents Meta's intensified push to compete in AI development after CEO Mark Zuckerberg grew frustrated with the lukewarm reception of the company's Llama 4 language model, which launched in April. Since then, Zuckerberg has taken a hands-on approach to recruiting AI talent, hosting job candidates at his personal homes and reorganizing Meta's offices to position the superintelligence team closer to his workspace.

BrianFagioli writes: Barbie is getting a brain upgrade. Mattel has officially partnered with OpenAI in a move that brings artificial intelligence to the toy aisle. Yes, you read that right, folks. Barbie might soon be chatting with your kids in full sentences, powered by ChatGPT.

This collaboration brings OpenAI's advanced tools into Mattel's ecosystem of toys and entertainment brands. The goal? To launch AI-powered experiences that are fun, safe, and age-appropriate. Mattel says it wants to keep things magical while also respecting privacy and security. Basically, Barbie won't be data-mining your kids... yet.

An anonymous reader quotes a report from The Register: Australian SaaS-y graphic design service Canva now requires candidates for developer jobs to use AI coding assistants during the interview process. [...] Canva's hiring process previously included an interview focused on computer science fundamentals, during which it required candidates to write code using only their actual human brains. The company now expects candidates for frontend, backend, and machine learning engineering roles to demonstrate skill with tools like Copilot, Cursor, and Claude during technical interviews, Canva head of platforms Simon Newton wrote in a Tuesday blog post.

His rationale for the change is that nearly half of Canva's frontend and backend engineers use AI coding assistants daily, that it's now expected behavior, and that the tools are "essential for staying productive and competitive in modern software development." Yet Canva's old interview process "asked candidates to solve coding problems without the very tools they'd use on the job," Newton admitted. "This dismissal of AI tools during the interview process meant we weren't truly evaluating how candidates would perform in their actual role," he added. Candidates were already starting to use AI assistants during interview tasks -- and sometimes used subterfuge to hide it. "Rather than fighting this reality and trying to police AI usage, we made the decision to embrace transparency and work with this new reality," Newton wrote. "This approach gives us a clearer signal about how they'll actually perform when they join our team." The initial reaction among engineers "was worry that we were simply replacing rigorous computer science fundamentals with what one engineer called 'vibe-coding sessions,'" Newton said.

The company addressed these concerns with a recruitment process that sees candidates expected to use their preferred AI tools, to solve what Newton described as "the kind of challenges that require genuine engineering judgment even with AI assistance." Newton added: "These problems can't be solved with a single prompt; they require iterative thinking, requirement clarification, and good decision-making."

A coordinated spam operation has infiltrated abandoned subdomains belonging to major institutions including Nvidia, Stanford University, NPR, and the U.S. government's vaccines.gov site, flooding them with AI-generated content that subsequently appears in search results and Google's AI Overview feature.

The scheme, reports 404 Media, posted over 62,000 articles on Nvidia's events.nsv.nvidia.com subdomain before the company took it offline within two hours of being contacted by reporters. The spam articles, which included explicit gaming content and local business recommendations, used identical layouts and a fake byline called "Ashley" across all compromised sites. Each targeted domain operates under different names -- "AceNet Hub" on Stanford's site, "Form Generation Hub" on NPR, and "Seymore Insights" on vaccines.gov -- but all redirect traffic to a marketing spam page. The operation exploits search engines' trust in institutional domains, with Google's AI Overview already serving the fabricated content as factual information to users searching for local businesses.

The abstract of a study featured on NBER: We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched employer-employee data in Denmark.

AI chatbots are now widespread -- most employers encourage their use, many deploy in-house models, and training initiatives are common. These firm-led investments boost adoption, narrow demographic gaps in take-up, enhance workplace utility, and create new job tasks. Yet, despite substantial investments, economic impacts remain minimal. Using difference-in-differences and employer policies as quasi-experimental variation, we estimate precise zeros: AI chatbots have had no significant impact on earnings or recorded hours in any occupation, with confidence intervals ruling out effects larger than 1%. Modest productivity gains (average time savings of 3%), combined with weak wage pass-through, help explain these limited labor market effects. Our findings challenge narratives of imminent labor market transformation due to Generative AI.

Amazon Web Services has signed a long-term deal with Talen Energy to receive up to 1,920 megawatts of carbon-free electricity from the Susquehanna nuclear plant through 2042 to support AWS's AI and cloud operations. The partnership also includes plans to explore new Small Modular Reactors and expand nuclear capacity amid rising U.S. energy demand. Utility Drive reports: Under the PPA, Talen's existing 300-MW co-location arrangement with AWS will shift to a "front of the meter" framework that doesn't require Federal Energy Regulatory Commission approval, according to Houston-based Talen. The company expects the transition will occur next spring after transmission upgrades are finished. FERC in November rejected an amended interconnection service agreement that would have facilitated expanded power sales to a co-located AWS data center at the Susquehanna plant. The agency is considering potential rules for co-located loads in PJM.

Talen expects to earn about $18 billion in revenue over the life of the contract at its full quantity, according to an investor presentation. The contract, which runs through 2042, calls for delivering 840 MW to 1,200 MW in 2029 and 1,680 MW to 1,920 MW in 2032. Talen will act as the retail power supplier to AWS, and PPL Electric Utilities will be responsible for transmission and delivery, the company said. Amazon on Monday said it plans to spend about $20 billion building data centers in Pennsylvania.

"We are making the largest private sector investment in state history -- $20 billion-- to bring 1,250 high-skilled jobs and economic benefits to the state, while also collaborating with Talen Energy to help power our infrastructure with carbon-free energy," Kevin Miller, AWS vice president of global data centers, said.

Amazon has launched its AI-powered Video Generator tool in the U.S., allowing sellers to quickly create photorealistic, motion-enhanced video ads often with a single click. "We'll likely see Amazon retailers utilizing AI-generated video ads in the wild now that the tool is generally available in the U.S. and costs nothing to use -- unless the ads are so convincing that we don't notice anything at all," says The Verge. From the report: New capabilities include motion improvements to show items in action, which Amazon says is best for showcasing products like toys, tools, and worn accessories. For example, Video Generator can now create clips that show someone wearing a watch on their wrist and checking the time, instead of simply displaying the watch on a table. The tool generates six different videos to choose from, and allows brands to add their logos to the finished results.

The Video Generator can now also make ads with multiple connected scenes that include humans, pets, text overlays, and background music. The editing timeline shown in Amazon's announcement video suggests the ads max out at 21 seconds.. The resulting ads edge closer to the traditional commercials we're used to seeing while watching TV or online content, compared to raw clips generated by video AI tools like OpenAI's Sora or Adobe Firefly.

A new video summarization feature can create condensed video ads from existing footage, such as demos, tutorials, and social media content. Amazon says Video Generator will automatically identify and extract key clips to generate new videos formatted for ad campaigns. A one-click image-to-video feature is also available that creates shorter GIF-style clips to show products in action.

An anonymous reader quotes a report from Ars Technica: The robot built by [Yuntao Ma and his team at ETH Zurich] was called ANYmal and resembled a miniature giraffe that plays badminton by holding a racket in its teeth. It was a quadruped platform developed by ANYbotics, an ETH Zurich spinoff company that mainly builds robots for the oil and gas industries. "It was an industry-grade robot," Ma said. The robot had elastic actuators in its legs, weighed roughly 50 kilograms, and was half a meter wide and under a meter long. On top of the robot, Ma's team fitted an arm with several degrees of freedom produced by another ETH Zurich spinoff called Duatic. This is what would hold and swing a badminton racket. Shuttlecock tracking and sensing the environment were done with a stereoscopic camera. "We've been working to integrate the hardware for five years," Ma said.

Along with the hardware, his team was also working on the robot's brain. State-of-the-art robots usually use model-based control optimization, a time-consuming, sophisticated approach that relies on a mathematical model of the robot's dynamics and environment. "In recent years, though, the approach based on reinforcement learning algorithms became more popular," Ma told Ars. "Instead of building advanced models, we simulated the robot in a simulated world and let it learn to move on its own." In ANYmal's case, this simulated world was a badminton court where its digital alter ego was chasing after shuttlecocks with a racket. The training was divided into repeatable units, each of which required that the robot predict the shuttlecock's trajectory and hit it with a racket six times in a row. During this training, like a true sportsman, the robot also got to know its physical limits and to work around them.

The idea behind training the control algorithms was to develop visuo-motor skills similar to human badminton players. The robot was supposed to move around the court, anticipating where the shuttlecock might go next and position its whole body, using all available degrees of freedom, for a swing that would mean a good return. This is why balancing perception and movement played such an important role. The training procedure included a perception model based on real camera data, which taught the robot to keep the shuttlecock in its field of view while accounting for the noise and resulting object-tracking errors.

Once the training was done, the robot learned to position itself on the court. It figured out that the best strategy after a successful return is to move back to the center and toward the backline, which is something human players do. It even came with a trick where it stood on its hind legs to see the incoming shuttlecock better. It also learned fall avoidance and determined how much risk was reasonable to take given its limited speed. The robot did not attempt impossible plays that would create the potential for serious damage -- it was committed, but not suicidal. But when it finally played humans, it turned out ANYmal, as a badminton player, was amateur at best. The findings have been published in the journal Science Robotics.

You can watch a video of the four-legged robot playing badminton on YouTube.

The Wikimedia Foundation halted an experiment that would have displayed AI-generated summaries atop Wikipedia articles after the platform's volunteer editor community delivered an overwhelmingly negative response to the proposal. The foundation announced the two-week mobile trial on June 2 and suspended it just one day later following dozens of critical comments from editors.

The experiment, called "Simple Article Summaries," would have used Cohere's open-weight Aya model to generate simplified versions of complex Wikipedia articles. The AI-generated summaries would have appeared at the top of articles with a yellow "unverified" label, requiring users to click to expand and read them. Editors responded with comments including "very bad idea," "strongest possible oppose," and simply "Yuck."

Disney and NBCUniversal have filed a copyright infringement lawsuit against AI image generator firm Midjourney in U.S. District Court in Los Angeles, marking the first time major Hollywood studios have taken legal action against a generative AI company.

The entertainment giants accuse Midjourney, founded in 2021, of training its software on "countless" copyrighted works without permission and enabling users to create images that "blatantly incorporate and copy" famous characters including Darth Vader, the Minions, Frozen's Elsa, Shrek, and Homer Simpson.

The companies claim they attempted to resolve the matter privately, but Midjourney "continued to release new versions" with "even higher quality infringing images" according to the complaint. Disney's general counsel used the word "piracy," to describe Midjourney's practice, while NBCUniversal's general counsel characterized it as "blatant infringement."

Apple executives defended the company's AI strategy this week after acknowledging that major Siri features announced at last year's Worldwide Developers Conference remain undelivered and were quietly pulled from development plans. Craig Federighi, Apple's senior vice president of software engineering, told the Wall Street Journal that the company is rebuilding Siri from the ground up, admitting that while Apple had working software for the promised features, "it didn't converge in the way quality-wise that we needed it to."

The missing capabilities included Siri's ability to search through apps and respond to on-screen activities, features that were demonstrated a year ago but never shipped to users. In the upcoming iOS 26, Apple has instead incorporated more OpenAI technology, allowing users to interact with ChatGPT through camera and screenshots and generate images using OpenAI's tools. Federighi defended the strategy by comparing Apple's position to the early internet era, when the company focused on making other services accessible rather than building competing platforms.

The FDA plans to use AI to "radically increase efficiency" in deciding whether to approve new drugs and devices, drawing on lessons from Operation Warp Speed to reduce review times to weeks. The plan was laid out in an article published Tuesday in JAMA. The New York Times reports: Another initiative involves a review of chemicals and other "concerning ingredients" that appear in U.S. food but not in the food of other developed nations. And officials want to speed up the final stages of making a drug or medical device approval decision to mere weeks, citing the success of Operation Warp Speed during the Covid pandemic when workers raced to curb a spiraling death count. [...]

Last week, the agency introduced Elsa, an artificial intelligence large-language model similar to ChatGPT. The FDA said it could be used to prioritize which food or drug facilities to inspect, to describe side effects in drug safety summaries and to perform other basic product-review tasks. The FDA officials wrote that A.I. held the promise to "radically increase efficiency" in examining as many as 500,000 pages submitted for approval decisions.

Current and former health officials said the A.I. tool was helpful but far from transformative. For one, the model limits the number of characters that can be reviewed, meaning it is unable to do some rote data analysis tasks. Its results must be checked carefully, so far saving little time. Staff members said that the model was hallucinating, or producing false information. Employees can ask the Elsa model to summarize text or act as an expert in a particular field of medicine.

An anonymous reader quotes a report from Reuters: Indirect carbon emissions from the operations of four of the leading AI-focused tech companies rose on average by 150% from 2020-2023, due to the demands of power-hungry data centers, a United Nations report (PDF) said on Thursday. The use of artificial intelligence by Amazon, Microsoft, Alphabet and Meta drove up their global indirect emissions because of the vast amounts of energy required to power data centers, the report by the International Telecommunication Union (ITU), the U.N. agency for digital technologies, said.

Indirect emissions include those generated by purchased electricity, steam, heating and cooling consumed by a company. Amazon's operational carbon emissions grew the most at 182% in 2023 compared to three years before, followed by Microsoft at 155%, Meta at 145% and Alphabet at 138%, according to the report. The ITU tracked the greenhouse gas emissions of 200 leading digital companies between 2020 and 2023. [...] As investment in AI increases, carbon emissions from the top-emitting AI systems are predicted to reach up to 102.6 million tons of carbon dioxide equivalent per year, the report stated.

The data centres that are needed for AI development could also put pressure on existing energy infrastructure. "The rapid growth of artificial intelligence is driving a sharp rise in global electricity demand, with electricity use by data centers increasing four times faster than the overall rise in electricity consumption," the report found. It also highlighted that although a growing number of digital companies had set emissions targets, those ambitions had not yet fully translated into actual reductions of emissions. UPDATE: The headline has been revised to clarify that four leading AI-focused tech companies saw their operational emissions rise to 150% of their 2020 levels by 2023 -- a 50% increase, not a 150% one.

"It is true, Google AI is stomping on the entire internet," writes Slashdot reader TheWho79, sharing a report from the Wall Street Journal. "From HuffPost to the Atlantic, publishers prepare to pivot or shut the doors. ... Even highly regarded old school bullet-proof publications like Washington Post are getting hit hard." From the report: Traffic from organic search to HuffPost's desktop and mobile websites fell by just over half in the past three years, and by nearly that much at the Washington Post, according to digital market data firm Similarweb. Business Insider cut about 21% of its staff last month, a move CEO Barbara Peng said was aimed at helping the publication "endure extreme traffic drops outside of our control." Organic search traffic to its websites declined by 55% between April 2022 and April 2025, according to data from Similarweb.

At a companywide meeting earlier this year, Nicholas Thompson, chief executive of the Atlantic, said the publication should assume traffic from Google would drop toward zero and the company needed to evolve its business model. [...] "Google is shifting from being a search engine to an answer engine," Thompson said in an interview with The Wall Street Journal. "We have to develop new strategies."

The rapid development of click-free answers in search "is a serious threat to journalism that should not be underestimated," said William Lewis, the Washington Post's publisher and chief executive. Lewis is former CEO of the Journal's publisher, Dow Jones. The Washington Post is "moving with urgency" to connect with previously overlooked audiences and pursue new revenue sources and prepare for a "post-search era," he said.

At the New York Times, the share of traffic coming from organic search to the paper's desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb. The Wall Street Journal's traffic from organic search was up in April compared with three years prior, Similarweb data show, though as a share of overall traffic it declined to 24% from 29%. Further reading: Google's AI Mode Is 'the Definition of Theft,' Publishers Say

An anonymous reader quotes a report from Axios: President Trump quietly took a red pen to much of the Biden administration's cyber legacy in a little-noticed move late Friday. Under an executive order signed just before the weekend, Trump is tossing out some of the major touchstones of Biden's cyber policy legacy -- while keeping a few others. The order preserves efforts around post-quantum cryptography, advanced encryption standards, and border gateway protocol security, along with the Cyber Trust Mark program -- an Energy Star-type labeling initiative for consumer smart devices. But hallmark programs tied to software bills of materials, zero-trust implementation, and space contractor cybersecurity requirements have been either rescinded or left in limbo. The new executive order amends both the Biden cyber executive order signed in January and an Obama administration order.

Each of the following Biden-era programs is now out the door or significantly rolled back:
- A broad requirement for federal software vendors to provide a software bill of materials - essentially an ingredient list of code components - is gone.
- Biden-era efforts to encourage federal agencies to accept digital identity documents and help states develop mobile driver's licenses were revoked.
- Several AI cybersecurity research mandates, including those focused on AI-generated code security and AI-driven patch management pilots, have been scrapped or deprioritized.
- The requirement that software contractors formally attest they followed secure development practices - and submit those attestations to a federal repository - has been cut. Instead, the National Institute of Standards and Technology will now coordinate a new industry consortium to review software security guidelines.

Starbucks is piloting a generative AI assistant called "Green Dot Assist" to streamline barista tasks and improve service speed, with plans for a broader rollout in fiscal 2026. The assistant is built on Microsoft Azure's OpenAI platform. CNBC reports: Instead of flipping through manuals or accessing Starbucks' intranet, baristas will be able to use a tablet behind the counter equipped with Green Dot Assist to get answers to a range of questions, from how to make an iced shaken espresso to troubleshooting equipment errors. Baristas can either type or verbally ask their queries in conversational language.

As the AI assistant evolves, Starbucks has even bigger plans for its next generation. Those ideas include automatically creating a ticket with IT for equipment issues or generating suggestions for a substitute when a barista calls out of work, according to [Starbucks Chief Technology Officer Deb Hall Lefevre]. [...] Lefevre said tenured baristas have been learning to use the new POS in as little as an hour. Plus, the technology can offer personalized recommendations and loyal customers' repeat orders, helping Starbucks achieve the personalized touch it's looking to bring back to its cafes. "It's just another example of how innovation technology is coming into service of our partners and making sure that we're doing all we can to simplify the operations, make their jobs just a little bit easier, maybe a little bit more fun, so that they can do what they do best," Lefevre told CNBC.

Bluesky's user engagement has fallen roughly 50% since peaking in mid-November, according to a recent Pew Research Center analysis, as progressive groups' efforts to migrate users from Elon Musk's X platform show signs of failure. The research found that while many news influencers maintain Bluesky accounts, two-thirds post irregularly compared to more than 80% who still post daily to X. A Washington Post columnist tries to make sense of it: The people who have migrated to Bluesky tend to be those who feel the most visceral disgust for Musk and Trump, plus a smattering of those who are merely curious and another smattering who are tired of the AI slop and unregenerate racism that increasingly pollutes their X feeds. Because the Musk and Trump haters are the largest and most passionate group, the result is something of an echo chamber where it's hard to get positive engagement unless you're saying things progressives want to hear -- and where the negative engagement on things they don't want to hear can be intense. That's true even for content that isn't obviously political: Ethan Mollick, a professor at the University of Pennsylvania's Wharton School who studies AI, recently announced that he'll be limiting his Bluesky posting because AI discussions on the platform are too "fraught."

All this is pretty off-putting for folks who aren't already rather progressive, and that creates a threefold problem for the ones who dream of getting the old band back together. Most obviously, it makes it hard for the platform to build a large enough userbase for the company to become financially self-sustaining, or for liberals to amass the influence they wielded on old Twitter. There, they accumulated power by shaping the contours of a conversation that included a lot of non-progressives. On Bluesky, they're mostly talking among themselves.

AI is speeding up the work of America's intelligence services, Director of National Intelligence Tulsi Gabbard said Tuesday. From a report: Speaking to a technology conference, Gabbard said AI programs, when used responsibly, can save money and free up intelligence officers to focus on gathering and analyzing information. The sometimes slow pace of intelligence work frustrated her as a member of Congress, Gabbard said, and continues to be a challenge. AI can run human resource programs, for instance, or scan sensitive documents ahead of potential declassification, Gabbard said. Her office has released tens of thousands of pages of material related to the assassinations of President John F. Kennedy and his brother, New York Sen. Robert F. Kennedy, on the orders of President Donald Trump.

Experts had predicted the process could take many months or even years, but AI accelerated the work by scanning the documents to see if they contained any material that should remain classified, Gabbard said during her remarks at the Amazon Web Services Summit in Washington. "We have been able to do that through the use of AI tools far more quickly than what was done previously -- which was to have humans go through and look at every single one of these pages," Gabbard said.