Part 10/13:
The Future of Robo-Taxis: Features and Safety
A key question remains: What capabilities are essential for Tesla's Robo-taxi fleet to operate safely and reliably? The experts believe that full sensor redundancy, high-precision perception, and extensive edge case handling are non-negotiable.
They also note that software training is becoming more autonomous, with Tesla leveraging fleet-wide data to perform end-to-end neural network training that continuously improves the system. This approach reduces reliance on manual coding and intensifies the iterative learning process. Elon Musk's statement about not being compute constrained hints at Tesla's ability to rapidly train, validate, and deploy new neural nets.