We prioritize both ambition and safety in our projects, and I'm thrilled with the positive reception of Waymo's services as we continue to scale up.

The 'Waymo' self-driving car project was a pivotal moment for robotics, showcasing the potential of autonomous vehicles and deepening my passion for robotics.

The last 20% of a project often requires 80% of the work, emphasizing the importance of finishing and refining projects multiple times.

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 implementation of self-driving technology is challenging; while the ideas are easy, the actual engineering work, such as optimizing compilers and reducing latency, is what makes it difficult.

When we realized our competitors were shipping faster, we shifted our approach to product development, setting ambitious goals like building 25 new features in one month to drive innovation and focus.

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

When AI can only deliver 80% of the solution, it's essential to ensure that the remaining 20% is effectively handled by human intervention.

About 50% of our products focus on developing new vehicles, while the other 50% enhance legacy systems to extend their operational life.