Black Forest Labs recently crossed 100 employees, with offices in Freiburg, Germany and San Francisco, and is actively hiring researchers and engineers.
Snapshot · All-In with Chamath, Jason, Sacks & Friedberg
Black Forest Labs recently crossed 100 employees, with offices in Freiburg, Germany and San Francisco, and is actively hiring researchers and engineers.
Where this was said
At 1:02:08 · 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.
Robin Rombach sat with Martin Scorsese multiple times to demonstrate Black Forest Labs' generative tools. What captivated Scorsese wasn't automation — it was the ability to take a visual scene living in his imagination and externalize it for his team to iterate on. Language is lossy. Images are not.
Martin Scorsese worked directly with Robin Rombach to use Black Forest Labs' generative models to visualize pre-production scene concepts for a potential new 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.
A Bitcoin movie starring Gal Gadot was made for $30M using generative AI for all scenery — it would have cost $150M with traditional set builds and might never have been greenlit.
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.
Despite months of meticulous preparation, Starter Story's initial launch attracted zero users — a humbling reminder that building alone guarantees nothing.
A single Reddit link post quickly drove 100 visitors to the Starter Story website, igniting the founder's belief in social traffic.
After reformatting content as a native self-post (no direct link spam), the post exploded with hundreds of upvotes and thousands of readers.
By posting again and again with the native-content strategy, the founder's posts repeatedly hit Reddit's front page, reaching millions of readers.
Before Reddit banned his domain, the founder converted his viral traffic into an email list of tens of thousands — a self-owned audience independent of Reddit.
Redditors eventually organized a petition to ban starterstory.com posts, effectively ending the Reddit growth channel — but the email list was already built.
The Reddit attention strategy ultimately served as the foundation for a million-dollar business, proving that free distribution channels can replace paid marketing.
The key tactic was keeping content fully on-platform (no direct link spam), then adding a small link at the post's end for users who wanted more.
With a thriving email list and a self-owned audience, the founder quit his six-figure New York City salary job to go all-in on Starter Story.
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