Based on the content of the uploaded document, here are the main questions summarized:
- What is the overall assessment of Tesla’s Full Self-Driving (FSD) version 12 compared to previous versions, and how do the changes impact the behavior and performance of the system?
- How does FSD v12 handle various driving challenges, such as navigating neighborhoods with speed bumps, executing difficult turns, and dealing with blind uphills?
- How does the neural network approach of FSD v12 compare to the heuristic code approach in terms of system improvement, compute constraints, and data quality?
- What are the implications of Tesla’s ability to deploy FSD v12 on hardware that is several years old, and what does this indicate about Tesla’s foresight and hardware capabilities?
- How does Tesla’s strategy for rolling out the free trial of FSD indicate their progress and confidence in the system’s safety and usability?
- What is the potential impact of FSD on Tesla’s business model, especially considering the future of robo-taxis and the valuation of FSD-equipped vehicles?
These questions delve into the technical performance, strategic implications, and future prospects of Tesla’s FSD technology, highlighting the company’s advancements and challenges in developing autonomous driving systems.