Tesla's camera-only approach for self-driving cars is scalable and efficient, while competitors like Whimo are currently ahead in deployment experience.

Tesla is the only car company that believes its cars can achieve full autonomy through a software update, potentially making them five times more valuable than non-autonomous cars.

Tesla's autopilot represents a real-world application of AI, where human supervision is still required, highlighting the importance of human-robot interaction in achieving safety and efficiency in autonomous driving.

I believe that if Tesla were tasked with creating a large language model, it would outperform existing models like ChatGPT, given our computing power and resources.

At Tesla, I became very interested in AI applications, particularly in autopilot technology, which led me to explore AI's potential in different domains.

The Tesla autopilot will eventually perform maneuvers that exceed human capabilities, achieving a level of safety significantly better than the average human driver.

While Tesla is a competitor in the self-driving space, we focus on developing general-purpose autonomous technology with Waymo, which can be applied in various fields.

The pace of AI improvement is unprecedented, outpacing previous technological advancements like cloud computing and processors, surprising even those within the tech industry.

The journey of Tesla's autopilot has been incredible, especially considering the challenges of computer vision and the skepticism surrounding it.