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Autonomous vehicles are an interesting subset.

Even though the system rules and I/O are tightly constrained, they're still struggling to match human performance in an open-world scenario, after a gigantic R&D investment with a crystal clear path to return.

Fifteen years ago I thought that'd be a robustly solved problem by now. It's getting there, but I think I'll still need to invest in driving lessons for my teenage kids. Which is pretty annoying, honestly: expensive, dangerous for a newly qualified driver, and a massive waste of time that could be used for better things. (OK, track days and mountain passes are fun. 99% of driving is just boring, unnecessary suckage).

What's notable: AVs have vastly better sensors than humans, masses of compute, potentially 10X reaction speed. What they struggle with is nuance and complexity.

Also, AVs don't have to solve the exact same problems as a human driver. For example, parking lots: they don't need to figure out echelon parking or multi-storey lots, they can drop their passengers and drive somewhere else further away to park.



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