Part 6/12:
At the core of Tesla’s success lies data—millions of vehicles collecting high-quality visual information. As Andre Carpathé, a leading Tesla AI engineer, highlighted in a 2022 interview, the critical factor isn't just sensor hardware but the volume of training data and the ability to process it efficiently. Tesla’s large fleet creates a network effect, enabling continuous improvement and scalability. Other companies, lacking this fleet size, rely on pre-mapped environments, high-definition maps, and region-specific rules—approaches that do not scale globally or rapidly.