Brian Potter of Construction Physics and the Institute for Progress discusses the history and failure of plasma displays, why Vision-Language-Action (VLA) models and cheap hardware like UMI are changing robotics, and why prefab housing remains exceptionally difficult to scale without general-purpose automation. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.

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Timestamps:

(00:00) Introduction

(00:48) Rise and Fall of Plasma

(04:40) Vision-Language-Action Models Explained

(06:30) What Part of Robotics Is Hardest to Scale?

(09:35) How UMI Data Solves Manipulation

(11:54) How to Learn Complex Real-World Systems

(16:42) Why Prefab Housing Remains So Difficult

(19:07) Will General-Purpose Robots Enable Prefab?

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

Why Simulation Fails for Dexterous Robots | Brian Potter

MTS

Why Simulation Fails for Dexterous Robots | Brian Potter