Amit Jain, cofounder and CEO of Luma AI, joins South Park Commons Partner Finn Meeks to explain why the most defensible AI companies aren't just building tools—they're developing systems that can understand and simulate the world.

Amit traces Luma's path from a free 3D capture app designed to gather training data, through an early bet that video generation was finally viable, to the unified model architecture powering Luma Agents today. He explains why most AI products still break at execution, why foundation labs blur the line between product and research, and why they are the blueprint for the companies of the future.

Amit Jain: https://www.linkedin.com/in/gravicle/
Finn Meeks: https://www.linkedin.com/in/finn-meeks/
South Park Commons: https://www.linkedin.com/company/southparkcommons/

Apply to SPC: https://www.southparkcommons.com/apply

Chapters:

(00:00:00) - Apple's LiDAR work seeded Luma's founding vision

(00:05:05) - A free app was secretly a data collection operation

(00:06:49) - H100s made video generation stop feeling impossible

(00:10:00) - Most definitions of "world model" are simply wrong

(00:14:37) - Why unified models beat pure video scaling

(00:20:03) - Luma Agents and the end-to-end creative production loop

(00:23:00) - The knowledge gap no model can close alone

(00:29:34) - Blowing James Cameron's mind in five minutes

(00:31:16) - Why consumer video generation failed—and who it's actually for

(00:35:23) - Product and research aren't two things at a foundation lab

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