Recently folks here wondered how Tesla Bot will be trained and how long it will take. The likely answer is: By two methods and not long.
The two methods:
1)
Simulation. Tesla talked about this at AI Day One. Their simulated driving environments are so close to reality that FSD can be safely trained for many dangerous situations before the training is refined by fleet data. Other companies have demonstrated other simulated environments with incredibly accurate physics of various objects (solids, fluids, gases, guns and butter).
2)
Observation. Academic researchers have already demonstrated a robot hand that can learn a task by watching a human hand, using a single camera. Tesla likely knows about this work, or has hired the researchers.
Both methods will be very fast. Training in a simulation proceeds at the speed of supercomputers, allowing multitudinous practice runs in a day. Training by observation proceeds in real time, but a robot never forgets, and can share its training with millions of other robots almost instantly.
The following videos are cued to demonstrations of the two methods.