Lots of reasons to be concerned about actual use in self driving cars, but as a robotics control problem solving approach this is very interesting. We really need fewer bespoke models required for general purpose robotics IMO. If we could do some basic structured interpretation of inputs (sensor specific, rather than application specific) and then just feed those in to some big LLM, if this actually works I am in principle all for it. At least as a stepping stone in research. Perhaps it will help us uncover other previously unknown control methods. But I think this is very interesting to examine.