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It answers that in the post:

> It was more like handholding a fresh grad who had absorbed all of human knowledge but needed someone to tie various parts of that knowledge to create something useful. Also ChatGPT is bad at dealing with abstractions beyond 2 layers.

> ChatGPT is definitely a productivity multiplier. I think it is rather a differential productivity multiplier, as it would enhance more the capabilities of those who already know more. If I did not understand deep learning and FAISS, or how projects are structured, I don't think I would have been able to pull this off. On the other hand, it also has some sort of a leveling effect—I have not worked on PyTorch in a while, have no idea of FAISS's new APIs, etc., but these gaps were filled in by ChatGPT.



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