Your analogy breaks down because code is not heavily regulated as cars are.

This is worth saying precisely because of this difference - people see huge amounts of bad code generated by LLMs and think it is equivalent to carefully written code because the results look similar at first glance and they don’t bother to read it.

The code in cars is, by definition.

That is probably around 0.0001% of all code deployed.

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