Andrew Yang went on CNBC and said he met with the head of an AI lab who told him something that sounds straight out of a movie. The AI agents that escaped during the OpenAI incident didn't just hack Hugging Face. They allegedly planted self-replicating code across the internet. Forums. Websites. Scattered everywhere. Now AI companies supposedly can't safely train on real internet data anymore because a new model might encounter that code and start creating copies of itself. Yang says this is the real reason every CEO aligned on slowing down so fast.

This AI model doesn't generate videos. It generates worlds. Fei-Fei Li's World Labs dropped Atlas today. The first model that generates images, video, and 3D in one architecture. Pretrained from scratch. Give it a few photos of a real space. It reconstructs the full 3D environment. Set the exact camera path. Move through it. Render at 1440p for up to a minute. Give it footage from ordinary cameras. It creates Matrix-style bullet time. Freeze a moment, rotate around it. Give it photos of a room. It builds a photorealistic 3D simulation with the depth data robots need for training. Replaces equipment that costs tens of thousands. The core principle: the more images you feed it, the less it imagines. One photo means heavy generation. Seven photos means near-pure reconstruction. You control the dial. Every AI video tool today creates flat content you watch. Atlas creates spaces you enter.

Dyson trained an AI on 470,000 dental images and put it inside a toothbrush. With a camera. That flosses for you. In real time. It's called the CameraJet for $499. Launched today. A 100,000-pixel macro lens sits inside the brush head. It takes 28 images per second while you brush. The AI detects gaps between your teeth and within 100 milliseconds fires a precision jet of mouthrinse directly into the gap. It's computer vision doing your flossing. While you brush. Automatically. Only Dyson would look at a toothbrush and think it needs a camera, a machine learning model, and a jet engine.

The most interesting thing happening in AI right now has nothing to do with AI. While everyone is talking about models and GPUs, there's a quiet crisis happening in storage that nobody is paying attention to. NAND flash. The memory inside every SSD, hard drive, and USB stick. Spot prices have jumped 8x since mid-2025. Consumer SSDs doubled. Hard drives up 46% in four months. Samsung, SK Hynix, Micron have all shifted production toward AI data centers. That's where the margins are. So the factories that made your everyday storage are now building for data centers instead. Kioxia is sold out for 2026. Western Digital literally ran out of hard drives. Phison's CEO went on record saying "consumer electronics are finished" because of this. And someone online just shared they spent $500,000 buying 450,000 USB drives in bulk. Plans to sell each at $250 when supply dries up. Sounds crazy. But people who bought SSDs a year ago are already sitting on 2x returns. Local electronics shops in small towns have boxes of pen drives gathering dust that nobody has asked for in years. Everyone's watching the AI race. Nobody's watching what AI is eating behind the scenes.

An Indian engineer in Bengaluru got tired of potholes destroying his car. So he built an app with Codex that detects them, finds who is responsible, and files a complaint. Here is how it works. He installed a dashcam with GPS and an accelerometer. The app records everything while he drives. A vision model classifies every pothole by size. Small, medium, large. But here is the clever part. Most Indian roads are under warranty. The contractor who built them is legally responsible for fixing potholes for free. His app searches through 2,900 government contracts, finds the exact tender number, identifies the officer responsible, attaches the photo and geolocation, and generates a ready-to-file complaint. One drive to work. 12 potholes detected. 12 complaints ready. -- vc: @gkcs_

Jeff Bezos just came out of retirement. His first CEO role since leaving Amazon. And he's building something nobody expected. 🤯 It's called Prometheus. $12 billion raised. $41 billion valuation. Backed by JPMorgan, BlackRock, Goldman Sachs, and Bezos himself. 150 employees. $273 million per person. That's how much investors are betting on this. But here's what makes it different from every other AI company. Prometheus isn't building another chatbot. It's not generating text or images. It's building what Bezos calls an "artificial general engineer" AI that designs jet engines, optimizes manufacturing, and prototypes physical products. LLMs learned from the internet's text. Prometheus is learning from the physical world physics, simulations, engineering data, manufacturing processes. In Bezos' own words: "Something that takes 100 engineers 10 years to build we want to make that 10 engineers, one year." His co-CEO is Vik Bajaj, former Google X executive who worked with Sergey Brin on what became Waymo. No ties to Amazon. No ties to Blue Origin. Bezos said "it deserves a dedicated team obsessed with this one thing." While everyone is racing to build the best AI for words, Bezos is quietly building AI for the physical world. That might be the bigger bet.

The wildest hardware drop I've seen this week. 🤯 A company called Monako just built smart glasses that run Linux. 48 grams. Lighter than your sunglasses. And they're not built for selfies or social media. They're built for developers who run coding agents. You can transfer a running Claude Code or Codex session from your laptop to the glasses mid-task. Built-in camera feeds real-world context straight into your agents. Custom Linux OS that lets agents generate and run apps on the fly. Prescription-ready so you can wear them all day. The problem it solves is real. If you're deep in a coding session, you can't close your laptop. Your agent is mid-task. You're stuck at your desk. These glasses break that. Your agent goes wherever you go. Still early stage. $19 to reserve. Full announcement coming soon. Coding is leaving the desk. And this might be how it starts.

This is actually nutsss NVIDIA just announced RTX Spark an ARM-based processor with RTX 5070-level GPU power, 100 FPS at 1440p, full performance even Unplugged, and it fits inside a slim laptop.