Part 8/10:
Feedback mechanisms: How can automakers identify and rectify issues that arise in unique or challenging real-world situations?
User input and local context: In cities with complex driving environments, local driver feedback is often essential to identify failures or edge cases that synthetic data might miss.
Tesla’s approach involves leveraging real-world driver data and feedback loops to refine their models, leading some to question whether synthetic data alone can achieve the robustness needed for full autonomy.