Tesla is trying hard too, but it goes with a big dose of bullshiting from Musk. They are a lot more dependent on AI break troughs in DL due to their vision only philosophy.
OpenAI research around scaling laws in DL suggest that naive 1000 increase in training compute over CLIP should get us to state of the art vision in zero shot settings i.e. without task specific training data. But they probably can cover 1/3 of that with algorithms improvements. Beyond that machines should really be above human vision across the board besides adversarial settings.
Quote https://arxiv.org/abs/2103.00020 :
> While scaling has so far steadily improved performance and suggests a route for continued improvement, we estimate around a 1000x increase in compute is required for zero-shot CLIP to reach overall state-of-the-art performance.
There is also the question of robust car control, but there should be good progress on it too due to RL research.