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> but we assume our nascent AIs, being machines, should always function correctly all the time

A tool that does not function is a defective tool. When I issue a command, it better does it correctly or it will be replaced.

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And that's part of the problem - you're thinking of it like a hammer when it's not a hammer. It's asking someone at a bar a question. You'll often get an answer - but even if they respond confidently that doesn't make it correct. The problem is people assuming things are fact because "someone at a bar told them." That's not much better than, "it must be true I saw it on TV".

It's a different type of tool - a person has to treat it that way.

Asking a question is very contextual. I don't ask a lawyer house engineering problems, nor my doctor how to bake cake. That means If I'm asking someone at a bar, I'm already prepare to deal with the fact that the person is maybe drunk, probably won't know,... And more often than not, I won't even ask the question unless dire needs. Because it's the most inefficient way to get an informed answer.

I wouldn't bat an eye if people were taking code suggestions, then review it and edit it to make it correct. But from what I see, it's pretty a direct push to production if they got it to compile, which is different from correct.

Sounds like a trillion dollar industry.

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