With over 500,000 Tesla vehicles worldwide constantly collecting and relaying data, the company has a huge advantage in developing its AI capabilities. This data in the decision-making process helps enhance the capabilities of Tesla’s Autopilot system. As a result, AI helps predict the behavior of other cars, pedestrians, or cyclists, giving Tesla’s cars enough time to take appropriate action towards other road users. By scrutinizing this information, the algorithms in Tesla’s AI can instantly filter information, such as determining if the vehicle remains in its current lane, if a lane change has been completed, if the vehicle has been overtaken, or if a speed adjustment has been made. Making these ad hoc decisions quickly on a daily basis is essential to managing life in the car.

As Tesla continues to collect more and more of this data, its AI becomes increasingly important and powerful, which means that the Autopilot system will improve and evolve. Access to this data greatly improves the performance of their AI systems, bringing us one step closer to the much-anticipated day when cars can drive themselves without any assistance.

Tesla's Robotaxi is officially here, and driverless Ubers are now on city streets! But there's a surprising twist - these vehicles are powered by Tesla's Full Self-Driving (FSD) technology, but still require human supervision. What does this mean for the future of driverless cars? Are we closer to fully autonomous driving than we think?

For now, Tesla's Robotaxi is an important milestone, indicating that the future of fully autonomous driving may be closer than we think. However, it also reminds us that this is a long race that requires technological breakthroughs, policy advancement, and social adaptation.