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> It's provably true that LLM's can generate working code.

What I've seen of them, the good ones mostly produce OK code. Not terrible, usually works.

Although I like them even for that low-ish bar, although I find them to be both a time-saver and a personal motivation assistant, they're still a thing that needs a real domain expert to spot the mistakes they make.

> Developers seem to focus on the set of cases that LLM's produce code that doesn't work, and use that as evidence that these tools are "useless".

I do find it amusing how many humans turned out to be stuck thinking in boolean terms, dismissing the I in AGI, calling them as "useless" because it "can't take my job". Same with the G in AGI, dismissing the breadth of something that speaks 50 languages when humans who speak five or six languages are considered unusually skilled.



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