Part 11/14:
A fundamental principle discussed is the "bitter lesson" in AI: more data generally leads to better models. Tesla exemplifies this through its continuous, extensive data collection—which surpasses what any individual or smaller fleet could achieve.
Tesla's strategy involves refining its massive driving data into the most relevant, scenario-specific training sets. Techniques include triggering neural networks for rare events and comparing predicted versus actual outcomes to improve system performance iteratively.
Real-World Corner Cases and Safety in Action
Elliwami showcased several real-world examples demonstrating Tesla’s system handling complex, unpredictable situations: