All-In with Chamath, Jason, Sacks & Friedberg

Snapshot · All-In with Chamath, Jason, Sacks & Friedberg

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs

Explore episode Jul 10, 2026

Where this was said

Martin Scorsese, Robots, and the Future of Hollywood IP

At 48:26 · chapter starts 47:31

Rombach steps back from the film discussion to articulate the deeper architectural insight: the model that makes a movie and the model that drives a robot are not two different technologies — they are the same model. Pre-training on video at scale gives a model implicit understanding of physics, causality, and spatial relationships — the foundations of intelligent physical action. From that base, only a few hours of task-specific fine-tuning data are needed to deploy the model on a specific robot in a factory setting. The long-term goal is to make even that fine-tuning unnecessary, enabling in-context robot instruction — just tell a robot in natural language what to do, the same way you prompt a language model. Rombach acknowledges this is still a research problem, but the trajectory is clear: world models, action models, and generative video models are all converging into the same underlying architecture.

TV & Film
The Bitcoin Movie: Generative AI Cut a $150M Budget to $30M

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit wi… · Jul 10, 2026 TV & Film

A Bitcoin movie starring Gal Gadot was filmed entirely on a sound stage, with all scenery generated by AI in post. The result: a $30M production that would have cost $150M with traditional set builds. It never would have been greenlit at $150M — generative AI didn't just cut costs, it made the film possible.

Technology
One Model, Two Worlds: Movies and Robotics from the Same AI

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit wi… · Jul 10, 2026 Technology

The most underappreciated insight in AI right now: a single multimodal generative model can produce a movie and act as the perception and action brain for a physical robot. Pre-training on video gives implicit understanding of real-world physics — which transfers directly into robotic action prediction.

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