Part 8/15:
Tesla’s approach centers on scale, software-defined learning, and manufacturing efficiency. Unlike its competitors, Tesla relies entirely on real-world data, capturing human demonstrations on factory floors via motion capture suits, and training neural networks on massive video datasets through its Dojo supercomputers. The result is a robot with an extraordinary number of actuators—rumored to be 50 for precise micro-movements—that are designed for mass deployment and high-margin software and services.