[fenomas]

It seems to me that questions like this show how people misunderstand generative AIs.

If you ask DALL-E to draw the Mona Lisa, it won't give you a pixel-perfect copy. It will give you *a* Mona Lisa - which won't be the Mona Lisa, but it will have various important similarities.

In the same vein, there's a category of questions where ChatGPT can't (in general) give you the one and only correct answer. It can give you an answer - the sort of answer that could plausibly have been correct, if not for the fact that it isn't.

Am I missing something? It seems to me that asking ChatGPT to do math is rather like asking why an image AI drew Mona Lisa wearing a necklace.

[chaps]

I'm pretty sure the question was done with much more understanding and cynicism towards chatgpt than you give it credit for. I've played with chat-gpt3 a lot and have a pretty good understanding of where it can and does fail, but communicating its failure modes has been difficult. This is a simple example that very clearly shows its limitations in a way that anybody can understand.