Part 9/13:

Philbert believes that this method of collective, fleet-based data collection and autonomous self-training moves AI closer to human-like or even superhuman levels of understanding, ultimately inching toward AGI.

The Role of Simulation and Reality

Discussing the balance of real-world versus simulated data, Philbert estimates that Tesla likely employs an 80/20 ratio, favoring real-world data but heavily leveraging simulation to explore rare or dangerous scenarios. The ability to generate synthetic data allows Tesla to expose AI to countless virtual "what-if" situations, accelerating learning and increasing safety.