Nvidia CEO Jensen Huang "said one of his biggest takeaways from 2025 was 'the battle of narratives' over the future of AI development between those who see doom on the horizon and the optimists," reports Business Insider. Huang did acknowledge that "it's too simplistic" to entirely dismiss either side (on a recent episode of the "No Priors" podcast). But "I think we've done a lot of damage with very well-respected people who have painted a doomer narrative, end of the world narrative, science fiction narrative." "It's not helpful to people. It's not helpful to the industry. It's not helpful to society. It's not helpful to the governments..." [H]e cited concerns about "regulatory capture," arguing that no company should approach governments to request more regulation. "Their intentions are clearly deeply conflicted, and their intentions are clearly not completely in the best interest of society," he said. "I mean, they're obviously CEOs, they're obviously companies, and obviously they're advocating for themselves..." "When 90% of the messaging is all around the end of the world and the pessimism, and I think we're scaring people from making the investments in AI that makes it safer, more functional, more productive, and more useful to society," he said. Elsewhere in the podcast, Huang argues that the AI bubble is a myth. Business Insider adds that "a spokesperson for Nvidia declined to elaborate on Huang's remarks." Thanks to Slashdot reader joshuark for sharing the article.

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Alphabet-owned Wing "is expanding its drone delivery service to an additional 150 Walmart stores across the U.S.," reports Axios: [T]he future is already here if you live in Dallas — where some Walmart customers order delivery by Wing three times a week. By the end of 2026, some 40 million Americans, or about 12 percent of the U.S. population, will be able to take advantage of the convenience, the companies claim... Once the items are picked and packed in a small cardboard basket, they are loaded onto a drone inside a fenced area in the Walmart parking lot. Drones fly autonomously to the designated address, with human pilots monitoring each flight from a central operations hub.... For now, Wing deliveries are free. "The goal is to expose folks to the wonders of drone delivery," explains Wing's chief business officer, Heather Rivera... Over time, she said Wing expects delivery fees to be comparable to other delivery options, but faster and more convenient. Service began recently in Atlanta and Charlotte, and it's coming soon to Los Angeles, Houston, Cincinnati, St. Louis, Miami and other major U.S. cities to be announced later, according to the article. "By 2027, Walmart and Wing say they'll have a network of more than 270 drone delivery locations nationwide." Walmart also announced a new deal today with Google's Gemini, allowing customers to purchase Walmart products from within Gemini. (Walmart announced a similar deal for ChatGPT in October.) Slashdot reader BrianFagioli calls this "a defensive angle that Walmart does not quite say out loud." As AI models answer more questions directly, retailers risk losing customers before they ever hit a website. If Gemini recommends a product from someone else first, Walmart loses the sale before it starts. By planting itself inside the AI, Walmart keeps a seat at the table while the internet shifts under everyone's feet. Google clearly benefits too. Gemini gets a more functional purpose than just telling you how to boil pasta or summarize recipes. Now it can carry someone from the moment they wonder what they need to the moment the order is placed. That makes the assistant stickier and a bit more practical than generic chat. Walmart's incoming CEO John Furner says the company wants to shape this new pattern instead of being dragged into it later. Sundar Pichai calls Walmart an early partner in what he sees as a broader wave of agent style commerce, where AI starts doing the errands people used to handle themselves. The article concludes "This partnership serves as a snapshot of where retail seems to be heading..."

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A new study "compared how well top AI systems and human workers did at hundreds of real work assignments," reports the Washington Post. They add that at least one example "illustrates a disconnect three years after the release of ChatGPT that has implications for the whole economy." AI can accomplish many impressive tasks involving computer code, documents or images. That has prompted predictions that human work of many kinds could soon be done by computers alone. Bentley University and Gallup found in a survey [PDF] last year that about three-quarters of Americans expect AI to reduce the number of U.S. jobs over the next decade. But economic data shows the technology largely has not replaced workers. To understand what work AI can do on its own today, researchers collected hundreds of examples of projects posted on freelancing platforms that humans had been paid to complete. They included tasks such as making 3D product animations, transcribing music, coding web video games and formatting research papers for publication. The research team then gave each task to AI systems such as OpenAI's ChatGPT, Google's Gemini and Anthropic's Claude. The best-performing AI system successfully completed only 2.5 percent of the projects, according to the research team from Scale AI, a start-up that provides data to AI developers, and the Center for AI Safety, a nonprofit that works to understand risks from AI. "Current models are not close to being able to automate real jobs in the economy," said Jason Hausenloy, one of the researchers on the Remote Labor Index study... The results, which show how AI systems fall short, challenge predictions that the technology is poised to soon replace large portions of the workforce... The AI systems failed on nearly half of the Remote Labor Index projects by producing poor-quality work, and they left more than a third incomplete. Nearly 1 in 5 had basic technical problems such as producing corrupt files, the researchers found. One test involved creating an interactive dashboard for data from the World Happiness Report, according to the article. "At first glance, the AI results look adequate. But closer examination reveals errors, such as countries inexplicably missing data, overlapping text and legends that use the wrong colors — or no colors at all." The researchers say AI systems are hobbled by a lack of memory, and are also weak on "visual" understanding.

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This week Meta announced several new features for "Meta Ray-Ban Display" smartglasses: - A new teleprompter feature for the smart glasses (arriving in a phased rollout) - The ability to send messages on WhatsApp and Messenger by writing with your finger on any surface. (Available for those who sign up for an "early access" program). - "Pedestrian navigation" for 32 cities. ("The 28 cities we launched Meta Ray-Ban Display with, plus Denver, Las Vegas, Portland, and Salt Lake City," and with more cities coming soon.) But they also warned Meta Ray-Ban Display "is a first-of-its-kind product with extremely limited inventory," saying they're delaying international expansion of sales due to inventory constraints — and also due to "unprecedented" demand in the U.S. CNBC reports: "Since launching last fall, we've seen an overwhelming amount of interest, and as a result, product waitlists now extend well into 2026," Meta wrote in a blog post. Due to "limited" inventory, the company said it will pause plans to launch in the U.K., France, Italy and Canada early this year and concentrate on U.S. orders as it reassesses international availability... Meta is one of several technology companies moving into the smart glasses market. Alphabet announced a $150 million partnership with Warby Parker in May and ChatGPT maker OpenAI is reportedly working on AI glasses with Apple.

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Meta has signed long-term nuclear power deals totaling more than 6 gigawatts to fuel its data centers: "one from a startup, one from a smaller energy company, and one from a larger company that already operates several nuclear reactors in the U.S," reports TechCrunch. From the report: Oklo and TerraPower, two companies developing small modular reactors (SMR), each signed agreements with Meta to build multiple reactors, while Vistra is selling capacity from its existing power plants. [...] The deals are the result of a request for proposals that Meta issued in December 2024, in which Meta sought partners that could add between 1 to 4 gigawatts of generating capacity by the early 2030s. Much of the new power will flow through the PJM interconnection, a grid which covers 13 Mid-Atlantic and Midwestern states and has become saturated with data centers. The 20-year agreement with Vistra will have the most immediate impact on Meta's energy needs. The tech company will buy a total of 2.1 gigawatts from two existing nuclear power plants, Perry and Davis-Besse in Ohio. As part of the deal, Vistra will also add capacity to those power plants and to its Beaver Valley power plant in Pennsylvania. Together, the upgrades will generate an additional 433 MW and are scheduled to come online in the early 2030s. Meta is also buying 1.2 gigawatts from young provider Oklo. Under its deal with Meta, Oklo is hoping to start supplying power to the grid as early as 2030. The SMR company went public via SPAC in 2023, and while Oklo has landed a large deal with data center operator Switch, it has struggled to get its reactor design approved by the Nuclear Regulatory Commission. If Oklo can deliver on its timeline, the new reactors would be built in Pike County, Ohio. The startup's Aurora Powerhouse reactors each produce 75 megawatts of electricity, and it will need to build more than a dozen to fulfill Meta's order. TerraPower is a startup co-founded by Bill Gates, and it is aiming to start sending electricity to Meta as early as 2032.

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An anonymous reader quotes a report from Wired: [P]erhaps AI can, in fact, learn in a more human way -- by figuring out interesting questions to ask itself and attempting to find the right answer. A project from Tsinghua University, the Beijing Institute for General Artificial Intelligence (BIGAI), and Pennsylvania State University shows that AI can learn to reason in this way by playing with computer code. The researchers devised a system called Absolute Zero Reasoner (AZR) that first uses a large language model to generate challenging but solvable Python coding problems. It then uses the same model to solve those problems before checking its work by trying to run the code. And finally, the AZR system uses successes and failures as a signal to refine the original model, augmenting its ability to both pose better problems and solve them. The team found that their approach significantly improved the coding and reasoning skills of both 7 billion and 14 billion parameter versions of the open source language model Qwen. Impressively, the model even outperformed some models that had received human-curated data. [...] A key challenge is that for now the system only works on problems that can easily be checked, like those that involve math or coding. As the project progresses, it might be possible to use it on agentic AI tasks like browsing the web or doing office chores. This might involve having the AI model try to judge whether an agent's actions are correct. One fascinating possibility of an approach like Absolute Zero is that it could, in theory, allow models to go beyond human teaching. "Once we have that it's kind of a way to reach superintelligence," [said Zilong Zheng, a researcher at BIGAI who worked on the project].

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Experts interviewed by NBC News warn that the rapid spread of AI-generated images and videos is accelerating an online trust breakdown, especially during fast-moving news events where context is scarce. From the report: President Donald Trump's Venezuela operation almost immediately spurred the spread of AI-generated images, old videos and altered photos across social media. On Wednesday, after an Immigration and Customs Enforcement officer fatally shot a woman in her car, many online circulated a fake, most likely AI-edited image of the scene that appears to be based on real video. Others used AI in attempts to digitally remove the mask of the ICE officer who shot her. The confusion around AI content comes as many social media platforms, which pay creators for engagement, have given users incentives to recycle old photos and videos to ramp up emotion around viral news moments. The amalgam of misinformation, experts say, is creating a heightened erosion of trust online -- especially when it mixes with authentic evidence. "As we start to worry about AI, it will likely, at least in the short term, undermine our trust default -- that is, that we believe communication until we have some reason to disbelieve," said Jeff Hancock, founding director of the Stanford Social Media Lab. "That's going to be the big challenge, is that for a while people are really going to not trust things they see in digital spaces." Though AI is the latest technology to spark concern about surging misinformation, similar trust breakdowns have cycled through history, from election misinformation in 2016 to the mass production of propaganda after the printing press was invented in the 1400s. Before AI, there was Photoshop, and before Photoshop, there were analog image manipulation techniques. Fast-moving news events are where manipulated media have the biggest effect, because they fill in for the broad lack of information, Hancock said. "In terms of just looking at an image or a video, it will essentially become impossible to detect if it's fake. I think that we're getting close to that point, if we're not already there," said Hancock. "The old sort of AI literacy ideas of 'let's just look at the number of fingers' and things like that are likely to go away." Renee Hobbs, a professor of communication studies at the University of Rhode Island, added: "If constant doubt and anxiety about what to trust is the norm, then actually, disengagement is a logical response. It's a coping mechanism. And then when people stop caring about whether something's true or not, then the danger is not just deception, but actually it's worse than that. It's the whole collapse of even being motivated to seek truth."

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Microsoft is embedding full e-commerce checkout directly into Copilot chats, letting users buy products without ever visiting a retailer's website. "If checkout happens inside AI conversations, retailers risk losing direct customer relationships -- while platforms like Microsoft gain leverage," reports Axios. From the report: Microsoft unveiled new agentic AI tools for retailers at the NRF 2026 retail conference, including Copilot Checkout, which lets shoppers complete purchases inside Copilot without being redirected to a retailer's website. The checkout feature is live in the U.S. with Shopify, PayPal, Stripe and Etsy integrations. Copilot apps have more than 100 million monthly active users, spanning consumer and commercial audiences, according to the company. More than 800 million monthly active users interact with AI features across Microsoft products more broadly. Shopping journeys involving Copilot are 33% shorter than traditional search paths and see a 53% increase in purchases within 30 minutes of interaction, Microsoft says. When shopping intent is present, journeys involving Copilot are 194% more likely to result in a purchase than those without it.

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The promise of AI-powered workplace tools that sort emails, take meeting notes, and file expense reports is finally delivering meaningful productivity gains -- one software startup reported a 20% boost around mid-2025 -- but companies are discovering an unexpected tradeoff: employees are burning out from the relentless pace of high-level cognitive work. Roger Kirkness, CEO of 14-person software startup Convictional, noticed that after AI took the scut work off his team's plates, their days became consumed by intensive thinking, and they were mentally exhausted and unproductive by Friday. The company transitioned to a four-day workweek; the same amount of work gets done, Kirkness says. The underlying problem, according to Boston College economist and sociologist Juliet Schor, is that businesses tend to simply reallocate the time AI saves. Workers who once mentally downshifted for tasks like data entry are now expected to maintain intense focus through longer stretches of data analysis. "If you just make people work at a high-intensity pace with no breaks, you risk crowding out creativity," Schor says.

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OpenAI has unveiled ChatGPT Health, a sandboxed health-focused mode that lets users connect medical records and wellness apps for more personalized guidance. The company makes sure to note that ChatGPT Health is "not intended for diagnosis or treatment." The Verge reports: The company is encouraging users to connect their personal medical records and wellness apps, such as Apple Health, Peloton, MyFitnessPal,Weight Watchers, and Function, "to get more personalized, grounded responses to their questions." It suggests connecting medical records so that ChatGPT can analyze lab results, visit summaries, and clinical history; MyFitnessPal and Weight Watchers for food guidance; Apple Health for health and fitness data, including movement, sleep, and activity patterns"; and Function for insights into lab tests. On the medical records front, OpenAI says it's partnered with b.well, which will provide back-end integration for users to upload their medical records, since the company works with about 2.2 million providers. For now, ChatGPT Health requires users to sign up for a waitlist to request access, as it's starting with a beta group of early users, but the product will roll out gradually to all users regardless of subscription tier. [...] In a blog post, OpenAI wrote that based on its "de-identified analysis of conversations," more than 230 million people around the world already ask ChatGPT questions related to health and wellness each week. OpenAI also said that over the past two years, it's worked with more than 260 physicians to provide feedback on model outputs more than 600,000 times over 30 areas of focus, to help shape the product's responses. "ChatGPT can help you understand recent test results, prepare for appointments with your doctor, get advice on how to approach your diet and workout routine, or understand the tradeoffs of different insurance options based on your healthcare patterns," OpenAI claims in the blog post.

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National Weather Service pulled an AI-generated forecast graphic after it hallucinated fake town names in Idaho. "The blunder -- not the first of its kind to be posted by the NWS in the past year -- comes as the agency experiments with a wide range of AI uses, from advanced forecasting to graphic design," reports the Washington Post. "Experts worry that without properly trained officials, mistakes could erode trust in the agency and the technology." From the report: At first glance, there was nothing out of the ordinary about Saturday's wind forecast for Camas Prairie, Idaho. "Hold onto your hats!" said a social media post from the local weather office in Missoula, Montana. "Orangeotild" had a 10 percent chance of high winds, while just south, "Whata Bod" would be spared larger gusts. The problem? Neither of those places exist. Nor do a handful of the other spots marked on the National Weather Service's forecast graphic, riddled with spelling and geographical errors that the agency confirmed were linked to the use of generative AI. NWS said AI is not commonly used for public-facing content, nor is its use prohibited. The agency said it is exploring ways to employ AI to inform the public and acknowledged mistakes have been made. "Recently, a local office used AI to create a base map to display forecast information, however the map inadvertently displayed illegible city names," said NWS spokeswoman Erica Grow Cei. "The map was quickly corrected and updated social media posts were distributed." A post with the inaccurate map was deleted Monday, the same day The Washington Post contacted officials with questions about the image. Cei added that "NWS is exploring strategic ways to continue optimizing our service delivery for Americans, including the implementation of AI where it makes sense. NWS will continue to carefully evaluate results in cases where AI is implemented to ensure accuracy and efficiency, and will discontinue use in scenarios where AI is not effective." A Nov. 25 tweet out of the Rapid City, South Dakota, office also had misspelled locations and the Google Gemini logo in its forecast. NWS did not confirm whether the Rapid City image was made with generative AI.

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Book publisher HarperCollins said it will start translating romance novels under its famous Harlequin label in France using AI, reducing or eliminating the pay for the team of human contract translators who previously did this work. 404Media: Publisher's Weekly broke the news in English after French outlets reported on the story in December. According to a joint statement from French Association of Literary Translators (ATFL) and En Chair et en Os (In Flesh and Bone) -- an anti-AI activist group of French translators -- HarperCollins France has been contacting its translators to tell them they're being replaced with machines in 2026. The ATFL/ En Chair et en Os statement explained that HarperCollins France would use a third party company called Fluent Planet to run Harlequin romance novels through a machine translation system. The books would then be checked for errors and finalized by a team of freelancers. The ATFL and En Chair et en Os called on writers, book workers, and readers to refuse this machine translated future. They begged people to "reaffirm our unconditional commitment to human texts, created by human beings, in dignified working conditions."

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Stratechery's Ben Thompson has published a lengthy rebuttal to Dwarkesh Patel and Philip Trammell's widely discussed winter break essay "Capital in the 22nd Century," arguing that even in a world where AI can perform all human jobs, people will still prefer human-created content and human connection. Patel and Trammell's thesis draws on Thomas Piketty's work to argue that once AI renders capital a true substitute for labor, wealth will concentrate among those richest at the moment of transition, making a global progressive capital tax the only solution to prevent extreme inequality. The logic is sound, writes Thompson, but he remains skeptical on several fronts. His first objection: if AI can truly do everything, then everyone can have everything they need, making the question of who owns the robots somewhat moot. His second: a world where AI is capable enough to replace all human labor yet still obeys human property law seems implausible. He finds the AI doomsday scenario -- where such powerful AI becomes uncontrollable -- more realistic than a stable capital-hoarding dystopia. Thompson points to agricultural employment in the U.S., which dropped from 81% in 1810 to 1% today, as evidence that humans consistently create new valuable work after technological displacement. He argues that human preferences for human connection -- from podcasting audiences to romantic partners -- will sustain an economy for human labor simply because it is human. Sora currently ranks 59th in the App Store behind double-digit human-focused social apps, for instance.

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