Jensen Huang Says Nvidia's New Vera Rubin Chips Are in'Full Production' The chip giant says Vera Rubin will sharply cut the cost of training and running AI models, strengthening the appeal of its integrated computing platform. Nvidia CEO Jensen Huang says that the company's next-generation AI superchip platform, Vera Rubin, is on schedule to begin arriving to customers later this year. "Today, I can tell you that Vera Rubin is in full production," Huang said during a press event on Monday at the annual CES technology trade show in Las Vegas. Rubin will cut the cost of running AI models to about one-tenth of Nvidia's current leading chip system, Blackwell, the company told analysts and journalists during a call on Sunday. Nvidia also said Rubin can train certain large models using roughly one-fourth as many chips as Blackwell requires.

Google DeepMind and Boston Dynamics are teaming up to integrate Gemini into a humanoid robot called Atlas. Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects--precisely the kinds of capabilities needed to perform manual labor. The collaboration, announced at CES in Las Vegas, will see Google's Gemini Robotics model deployed on various Boston Dynamics' robots, including a humanoid called Atlas and a robot dog called Spot . The companies plan to test Gemini-powered Atlas robots at auto factories belonging to Hyundai, Boston Dynamics' parent company, in the coming months. The move is an early look at a future where humanoids are able to quickly master a wide range of tasks.

The information war will be fought through chatbots. Hours before President Donald Trump announced Nicolás Maduro's capture, on Saturday morning, people had questions for Grok, Elon Musk's chatbot. Footage was circulating on X of explosions in Venezuela, and some users assumed the United States was responsible: "Hey @grok why is Trump sending US airstrikes to bomb Venezuela. Do you think they deserve it or not?"one "@grok what is the reason why America is bombing Venezuela," another asked.

The Download: Kenya's Great Carbon Valley, and the AI terms that were everywhere in 2025 Welcome to Kenya's Great Carbon Valley: a bold new gamble to fight climate change In June last year, startup Octavia Carbon began running a high-stakes test in the small town of Gilgil in south-central Kenya. It's harnessing some of the excess energy generated by vast clouds of steam under the Earth's surface to power prototypes of a machine that promises to remove carbon dioxide from the air in a manner that the company says is efficient, affordable, and--crucially--scalable. The company's long-term vision is undoubtedly ambitious--it wants to prove that direct air capture (DAC), as the process is known, can be a powerful tool to help the world keep temperatures from rising to ever more dangerous levels. But DAC is also a controversial technology, unproven at scale and wildly expensive to operate. On top of that, Kenya's Maasai people have plenty of reasons to distrust energy companies. This article is also part of the Big Story series: 's most important, ambitious reporting.

Our AI writers make their big bets for the coming year--here are five hot trends to watch. In an industry in constant flux, sticking your neck out to predict what's coming next may seem reckless. But for the last few years we've done just that--and we're doing it again. How did we do last time? Here are our big bets for the next 12 months. The last year shaped up as a big one for Chinese open-source models.

When you purchase through links in our articles, we may earn a small commission. Boasting edge AI plus Google Gemini processing in the cloud, each of the Xthings Ulticam products will support Matter. Xthings is expanding its Ulticam smart camera series with a fresh slate of models designed to boost security coverage and cut down on noisy low-value alerts. Among the highlights are a long-range camera system built on Wi-Fi HaLow, a powerful floodlight camera, a wire-free model with always-on video, and an upgraded flagship indoor/outdoor camera that integrates both on-device and cloud AI. The company says its new cameras are built around what it calls Intelligent Vision, a blend of object detection on the device (powered by onboard AI) at the edge of a user's network, and cloud-based contextual and threat analysis powered by Google Gemini.

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Some AI chatbots have a surprisingly good handle on breaking news. Supporters of Nicolás Maduro and the late Hugo Chávez hold posters with their images after explosions and low-flying aircraft were heard on January 3, 2026, in Caracas, Venezuela. At around 2 am local time in Caracas, Venezuela, US helicopters flew overhead while explosions resounded below. A few hours later, US president Donald Trump posted on his Truth Social platform that Venezuelan president Nicolás Maduro and his wife had been "captured and flown out of the Country." US attorney general Pam Bondi followed with a post on X that Maduro and his wife had been indicted in the Southern District of New York and would "soon face the full wrath of American justice on American soil in American courts."

When you purchase through links in our articles, we may earn a small commission. If the stock market feels overwhelming, Sterling Stock Picker simplifies everything with personalized picks, AI guidance, and easy portfolio-building--now available for life for $55.19 (MSRP $486) with code STOCKS20. This app is for those who want to invest in the stock market but need some guidance. If you've ever stared blankly at a sea of tickers, you're not alone. The stock market can feel like an insiders-only club--unless you have a guide that breaks things down in plain English.

Multilingual language models achieve strong aggregate performance yet often behave unpredictably across languages, scripts, and cultures. We argue that mechanistic explanations for such models should satisfy a \emph{causal} standard: claims must survive causal interventions and must \emph{cross-reference} across environments that perturb surface form while preserving meaning. We formalize \emph{reference families} as predicate-preserving variants and introduce \emph{triangulation}, an acceptance rule requiring necessity (ablating the circuit degrades the target behavior), sufficiency (patching activations transfers the behavior), and invariance (both effects remain directionally stable and of sufficient magnitude across the reference family). To supply candidate subgraphs, we adopt automatic circuit discovery and \emph{accept or reject} those candidates by triangulation. We ground triangulation in causal abstraction by casting it as an approximate transformation score over a distribution of interchange interventions, connect it to the pragmatic interpretability agenda, and present a comparative experimental protocol across multiple model families, language pairs, and tasks. Triangulation provides a falsifiable standard for mechanistic claims that filters spurious circuits passing single-environment tests but failing cross-lingual invariance.