There is a big misconception in your answer in that you seem to believe that an LLM would always produce (machine) code that does what the user intended, in a correct and safe manner. Neither of these assumptions is true. If you knew how LLMs are built and operate, you would know they are not reliable at all. What you might ask from an AI interpreter OS might be unique and thus might be absent from its training set and might not follow a pattern inferred from its training set either.

LLMs are the first machine learning models that blatantly and regularly produce incorrect output and we have been brainwashed into accepting that. An application on the other hand can be exhaustively verified. There is no comparison.