Training Data

Robotics' End Game: Nvidia's Jim Fan

Published: May 1, 2026

Duration: 20:02

Jim Fan, who leads the embodied autonomous research group at Nvidia, returns to AI Ascent to argue that robotics is entering its end game — and that the playbook is already written. He 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...