> Instead, think of an LLM as the equivalent of giving a human a menial task. You know that they're not 100% reliable, and so you give them only tasks that you

> Instead, think of an LLM as the equivalent of giving a human a menial task. You know that they're not 100% reliable, and so you give them only tasks that you can quickly verify and correct. The problem is: for the tasks that I can give the LLM (or human) that I can easily verify and correct, the LLM fails with the majority of them, for example - programming tasks of my area of expertise (which is more "mathematical" than what is common in SV startups), where I know how a high-level solution has to look like, and where I can ask the LLM to explain the gory details to me. Yes, these gory details are subtle (which is why the task can be menial), but the code has to be right. I can verify this, and the code is not correct. - getting literature references about more obscure scientific (in particular mathematical) topics. I can easily check whether these literature references (or summaries of these references) are hallucinations - they typically are.