This stuff would be useful. Self driving is getting to the point where it's a game of inches and there are only extremely hard problems to solve. Each major pla

This stuff would be useful. Self driving is getting to the point where it's a game of inches and there are only extremely hard problems to solve. Each major player definitely has non-overlapping sets of the solution. Understanding how their main compute works could hint at how their system works as a whole. Like how are they getting data from sensors? Are they doing HW acceleration? On which parts of the pipeline are they doing that and should we? How are they synchronizing all of their sensors to do sensor fusion? It's clear that a self driving car will need to make use of a large suite of sensors which require tons of data processing. If Tesla is primarily camera based, it could be possible that they have invested in better cameras and better image processing algorithms + hw acceleration that competitors could learn from. Same goes for any serious player in this space.