America’s New Construction Robot Stuns the Entire World

America is short more than 454,000 construction workers this year, and that hole isn’t getting filled by hiring. So the country did something else entirely: it started building the workers themselves. Right now, across job sites nationwide, machines are quietly stepping in to do the jobs no one is left to do. And we’re not talking about clumsy factory arms bolted to a floor. We’re talking about robots that tie steel, print entire houses, dig trenches on their own, and finish walls with a precision no human hand can match. Some of these machines are already out there, working faster than any crew ever could. In this video we’re going to look at the 8 most incredible construction robots working today. Stick around until the end, because the number one machine will definitely leave you speechless.

NATO’s New Air Defense: Why Skynex Makes Drones Obsolete

Russia’s drone strategy was mathematically destroying NATO’s short-range air defense. One Shahed drone: $500. One interceptor: $3 million. Multiply that by 300 launches per night. Germany’s answer: Oerlikon Skynex. Four automated 35mm cannons. Programmable AHEAD airburst ammunition. A fully networked Intercept chain with no human in the loop. Cost per engagement: under $100. Ukraine deployed it. The results were classified as flawless. This is the full technical and battlefield breakdown — no filler, no spin.

I Tried the First Humanoid Home Robot. It Got Weird. | WSJ

The 1X Neo is one of the first humanoid robots built for your home and is equipped with full AI software. For $20,000, you can pre-order X1’s Neo now with delivery set for 2026. But a company representative might need to peer into your home, via Neo’s camera eyes, to help get things done.

WSJ’s Joanna Stern spent time with it—and its creator—to see what it can really do and how much it still requires a human operator’s help.

Research Advances in AI-Assisted Material Generation for Physical AI

Digital twins are vital for the training and testing of physical AI that can understand and perform complex actions in the real world. But building digital twins is slow and tedious. NVIDIA’s latest generative AI and rendering research showcases the potential to dramatically accelerate and scale these workflows.

These breakthroughs combine NVIDIA Cosmos World Foundation Models and advanced rendering technologies to allow developers to pair AI assistants with experts at the heart of digital twin and physical AI development. In these future workflows, experts will engage with AI assistants using simple language to quickly generate realistic, physically accurate base materials for 3D models. They can then fine-tune generated materials, adjusting properties such as roughness and texture to better reflect the real world.

This research, along with the workflows it enables, showcases the potential to quickly transform 3D models into large-scale, simulation-ready digital twins that can be used to train safe and efficient physical AI.

China’s Dark Factories: So Automated, They Don’t Need Lights | WSJ

Ford’s CEO says China’s EV industry poses an existential threat to global automakers. The country’s dark factories, which have robots run 24/7 with limited human interaction, aim to further widen the gap between Chinese car manufacturers and everyone else. As China grapples with overproduction and Trump’s trade war with Beijing continues, one big question remains: who will buy all these vehicles?

From Street View To AI — How Google Maps Mapped The World

Google Maps is the world’s top navigation app, and in February it will turn 20 years old. It’s aiming to stay ahead using new generative AI features, and a nimbler Street View camera that will help it map at least three new countries. Street View cameras have taken billions of images and mapped millions of miles since Google co-founder Larry Page first had the idea for Maps. Now, Google Maps is available in more than 250 countries. CNBC got an exclusive look at the Street View service center and asked the head of Maps about data, privacy, traffic and AI.