> I'm not sure about your example about talking to LLMs. There is good reason to think that speaking to it like a human might produce better results, as that's what most of the training data is composed of.

In practice I have not had any issues getting information out of an LLM when speaking to them like a computer, rather than a human. At least not for factual or code-related information; I'm not sure how it impacts responses for e.g. creative writing, but that's not what I'm using them for anyway.