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Robotics' End Game: Nvidia's Jim Fan, Sonic AI
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Robotics' End Game: Nvidia's Jim Fan
Sequoia Capital AI Ascent 2026
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Apr 30, 2026
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19:51
Conference
Keynote
Robotics' End Game: Nvidia's Jim Fan
From
Sequoia Capital AI Ascent 2026
· 2026
Jim Fan
(Lead, Embodied Autonomous Research Group, NVIDIA, guest)
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Executive Summary
NVIDIA's Jim Fan proposes a new paradigm for robotics, "The Great Parallel," which applies the successful development roadmap of Large Language Models (LLMs) to the physical world.
The dominant model architecture is shifting from Vision Language Action (VLA) models, which are poor at physics, to World Action Models (WAMs) that learn physics emergently by simulating future world states from video.
Data collection is evolving from inefficient teleoperation to highly scalable methods, with egocentric human video predicted to become the primary data source, enabling a neural scaling law for dexterity.
The long-term vision for robotics involves passing a "Physical Turing Test," creating a "Physical API" for lights-out factories, and ultimately achieving "Physical Auto-Research" where robots design and build their successors.
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The Great Parallel: Applying the LLM Playbook to Robotics
Paradigm Shift from VLA to World Action Models (WAMs)
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Processed May 10, 2026
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