Jim Fan, who leads the embodied autonomous research group at Nvidia, walks through what he calls "the great parallel": robotics following the LLM path from pre-training to reasoning to auto research, but with world models replacing language models, egocentric video replacing teleoperation, and world action models replacing the VLA paradigm. Along the way: why he thinks we'll pass the physical Turing test within 2–3 years, why "compute now equals environment equals data," and why this generation was born just in time to solve robotics.

00:00 Introduction

00:30 DGX One Origin Story

01:42 The Great Parallel

03:31 Robotics Endgame Setup

03:39 Why VLA Falls Short

04:32 Video World Models

06:09 DreamZero World Action

07:46 Scaling Data Collection

11:06 EgoScale And Scaling Laws

15:39 DreamDojo And The Roadmap

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