Physical AI's Next Bottleneck Is Finding the Right Video — Rafael Levi, Bright Data
Physical AI's real bottleneck is scarce, natural robot training video, not the models.
“AI is no longer the hard part, the data is what's important.”
Bright Data's Rafael Levi argues that model capability is largely solved for physical AI, and the true constraint is data: robotics has only ~1 million action videos versus trillions of text tokens for LLMs. He notes that paying people to record 'instructed' actions yields unnatural movements, making the sourcing of authentic real-world video the next major bottleneck for training robot world models.