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Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg, Sonic AI
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Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
Sequoia Capital
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Jan 6, 2026
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1:01:37
Interview
Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
Karol Hausman, Tobi Springenberg
(Leaders at Physical Intelligence, guest)
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Executive Summary
Physical Intelligence is building foundation models for robotics, aiming to create a general-purpose AI that can control any robot for any task, addressing the historical bottleneck of intelligence rather than hardware.
Their latest model, Pi Star 0.6, utilizes reinforcement learning (RL) from real-world physical experience, not simulation, to overcome performance plateaus seen with imitation learning alone.
This RL-based approach has dramatically improved performance, enabling a robot to serve coffee for 13 hours straight and increasing task throughput by over 2x, making commercial deployment feasible.
The company's core strategy is to deploy robots for economically valuable tasks, creating a data flywheel where real-world operations generate the vast, diverse data needed to further improve the foundation model's generalization and capabilities.
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Processed May 4, 2026
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