I think this shows how the approach LLMs take is wrong. For us it's easy because we simply sort of iterate over every function with a simple prompt of doing a translation, but are yet careful enough taking notes of whatever may be relevant to do a higher level change if necessary.
Maybe the mistake is mistaking LLMs as capable people instead of a simple, but optimised neuron soup tuned for text.
Maybe the mistake is mistaking LLMs as capable people instead of a simple, but optimised neuron soup tuned for text.