Part 11/14:
A critical element of Tesla’s future hinges on AI’s foundational principle: data. The latest insights in the AI community indicate that the key to scaling AI models, such as language models or image generators, is not just architecture but the volume and diversity of data. Tesla’s advantage lies in its ability to gather real-world data through its fleet of vehicles, continuously updating and refining its neural networks.
As long as Tesla effectively scrapes real-world driving data—comparing it against neural network outputs—there’s no practical upper bound on improving full self-driving safety and performance. With abundant data and increasingly powerful compute, Tesla aims to create fully autonomous vehicles that are not only safe but significantly safer than human drivers.