Robots Are "Doomed to Succeed" and That's a Problem

Take your personal data back with Incogni! Use code TIFFINTECH at the link below and get 60% off an annual plan: https://incogni.com/tiffintech I held a 2,000 teraflop robotics computer, talked to the engineers programming robots and self driving cars, and then rode through San Francisco in a Mercedes with nobody touching the wheel. Two people in this video told me about their moms. That's not something I expected from a tech conference. Watch and you'll see what I mean. NVIDIA gave me access to Jetson Thor, their robotics computer, the GTC floor, and a self driving Mercedes running their DRIVE AV stack at L2++ through downtown San Francisco. I sat down with Spencer Huang, who leads NVIDIA's robotics software (Isaac, GR00T, Cosmos), and he walked me through what actually happens inside a robot brain from the moment it sees something to the moment it moves. Then I met Jan Liphardt, a Stanford professor building OM1, an open source operating system for robots with its own app store. Then NVIDIA put me in the car. One idea runs through this entire video: the same compute platform powering humanoid robots is also powering autonomous cars. TIMESTAMPS 00:00 I Rode in a Self Driving Mercedes Through San Francisco 00:35 Inside NVIDIA GTC 2026 Robotics Floor 00:49 NVIDIA Jetson Thor Explained: The Brain Inside Every Robot 01:35 How World Models Let Robots Predict the Future 02:06 Sponsor: Incogni Data Privacy 03:06 NVIDIA's Three Computer Pipeline: Train, Simulate, Deploy 03:20 The Sim to Real Gap: Why Robots Fail in the Real World 05:43 OpenMind OM1: The Open Source Operating System for Robots 09:01 NVIDIA DRIVE AV Demo: Autonomous Mercedes in San Francisco 12:05 One Chip, Many Bodies: Why This Changes Everything