The hybrid network allows us to balance supply and demand effectively, ensuring customer satisfaction and vehicle utilization.

Dynamic pricing is crucial during peak demand times, such as Friday and Saturday nights, to ensure that enough cars are available to meet the surge in requests.

In San Francisco, our average pickup times improved from 12 minutes to around 5 minutes as more people began using Uber.

Our logistics model has successfully completed over 500 deliveries with an average delivery time of 44 minutes, which is better than our peers.

Connecting people with cars to those who need rides is a fundamental idea behind many successful startups.

An autonomous car could be used as an 'autonomous Uber', significantly increasing its utility from about 10 hours a week to potentially 50 hours a week.

Tesla has real-time information on demand, allowing us to adjust pricing dynamically based on how many orders we receive each day.

Our AI engine uses up to 500 data points for mobility companies, while car rental companies typically use only 20 to 40 data points.

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.