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My experience with Claude is that it suffers badly from “not invented here” syndrome. So probably it rebuilt something like llama from scratch and then 2 hours suddenly seems reasonable (if you don’t question the approach). And that’s the thing, someone with no experience isn’t going to question it.

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Not necessarily rebuild llama from scratch, build attempting to build it without cmake and manually invoking all the build commands would be quite in character.

I wonder if this is an artifact of RL, where the training heavily emphasizes codegen. It may be that the model is just better at generating code than reusing libraries, so it prefers the lowest cost approach.

I also wonder if this manifests much less in contexts where the libraries/frameworks are a large part of the training set. It may be that the model doesn’t generalize well so it’s always better to use knowledge in its training set vs attempting to understand how to use a new, potentially never before seen (from the model perspective) api

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