Tesla uses a small language model for lane selection at intersections, they already shipped that to customers. Natural language is useful for systems with disc

Tesla uses a small language model for lane selection at intersections, they already shipped that to customers. Natural language is useful for systems with discrete elements and complex rules, which seems like a good fit for parsing intersections, construction zones, things like that. I also disagree that the explainability problem needs to be solved before self driving cars can be implemented. The effects of drugs are inherently non-deterministic, but the FDA still lets companies develop drugs and ship them to customers. You test self driving cars the same way we test drugs: by collecting data and calculating the probability of harm.