That is not true either. The NN has to be trained separately for each task. So being good at one thing like lane keeping does not automatically mean that the NN will automatically be good at seeing say traffic lights or a duck crossing the street.
In his presentation, Karpathy mentions that they are training the NN for the following tasks:
- Moving objects (cars, trucks, motorcycles driving, pedestrians walking etc)
- Static objects (parked car, garbage can on the side of the road, traffic cones, pedestrian waiting to cross the street etc)
- Road signs (speed limit signs, stop signs, etc)
- Traffic Lights
- Lane lines
- Road markings (turn left arrows on road, pedestrian crossings etc)
- Environmental tags (residential area or highway, sunny day or raining)
Each of these have to be trained separately. Tesla has to get to 99.9999% independently for each of these tasks in order to do FSD.