That's not really how it works. It's trained specifically for one track, it doesn't really process the visual information in terms of "the car is off course, co

That's not really how it works. It's trained specifically for one track, it doesn't really process the visual information in terms of "the car is off course, correct it". It's more like "when the image looks like this, do this". If you kept the same map but added a bunch of trees off the track it would probably need to be retrained. Assuming I'm right about that, it shows that the "AI" doesn't really look at the track as you might think it does. It's basically just a fancy brute force algorithm.