Part 9/14:
Tesla’s massive dataset — collected from over 7 million vehicles driving tens of billions of miles annually — offers an advantage that synthetic training cannot match. With over 55 million cameras capturing real-world scenarios, Tesla’s approach to data collection remains unmatched in richness and authenticity. While synthetic data can augment real-world training, relying solely on it presents risks of inaccuracies that could impede progress toward true full autonomy.
The industry’s reliance on synthetic data is seen by many, including Tesla, as a stopgap. It’s a tool best used to supplement real-world data rather than replace it entirely.