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I uploaded the paper to chatgpt and it summarized it, wrote pseudo code and wrote haskell code with very little prompting from me... no idea if it's _good_ code, because I didn't run it and I don't know the domain or haskell, but it did produce code -- and explained that some of it is non trivial to implement and might need more attention and explained why.

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But this is _exactly_ the problem being discussed.

Domain expert: “I cannot get it to produce something that even approximately resembles x”

Person: “I gave it the paper and I got maybe x?”

There is a fundamental knowledge gap here, just because you can get it to do something isn’t the goal, or even a good outcome. The illusion that it’s capable of doing something it evidently cannot is a dangerous one, because people who don’t know better, and are being convinced that they do understand or comprehend when they don’t.

Okay so you have no idea how good the output is.

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