If I was to summarize my entire talk in one slide, it would be this. … We see a lot of things coming from the fleet. And we see them at some rate — like, a really good rate compared to all of our competitors. So, the rate of progress at which you can actually address these problems, iterate on the software, and really feed the neural networks with the right data — that rate of progress is really just proportional to how often you encounter these situations in the wild. And we encounter them significantly more frequently than anyone else, which is why we’re going to do extremely well.
If the city driving software Tesla demoed really is the product of just 3 months of neural network training and software development, then the rate of progress does seem very fast.