ABOUT THIS EPISODE
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.
