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

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

Tesla's cars are statistically the safest on the road, and we continuously update safety features like automatic emergency braking and airbag deployment.

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

We're transitioning all training in Tesla's self-driving systems to use surround video, which is crucial for improving efficiency and accuracy in recognizing real-world environments.

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.

The upcoming version 11 of Tesla's software will include fundamental rewrites in the neural network architecture, enhancing its capabilities significantly, as it reduces the complexity of data processing by outputting essential vectors instead of a large bag of points that need to be assembled.

For full self-driving to be approved, it must demonstrate a safety standard that is two to three times better than that of human drivers.