Topic

Embodied AI

Artwork for Training robots for a world they’ve never seen
PossibleChelsea Finn

Training robots for a world they’ve never seen

Chelsea Finn explains why useful robots need general-purpose models that learn from messy real-world data, not one-off programming. The conversation digs into robotics generalization, language grounding, safety, hardware reliability, and why Physical Intelligence thinks simple embodied systems may scale faster than humanoids.

Artwork for The $1/Hour Worker: Four Robotics CEOs on Humanoids at Home, China's Threat, and the End of Dangerous Jobs
All-In

The $1/Hour Worker: Four Robotics CEOs on Humanoids at Home, China's Threat, and the End of Dangerous Jobs

All-In brings together robotics leaders from Anybotics, 1X, Boston Dynamics, and Agility to debate where humanoids make sense, how fast physical AI is scaling, and how much of the market is really industrial inspection versus home labor. The discussion centers on autonomy, safety, data strategies, China supply-chain risks, and whether robots will soon outperform humans in dangerous or repetitive work.