I'm kinda one of those who believes they 'completely' understand LLMs. But I've also developed my understanding of them such that the internal mechanisms of the transformer, or really any future development in the space based on neural networks and machine learning is irrelevant.
1. A string of unicode characters is converted into an array of integers values (tokens) and input to a black box of choice.
2. The black box takes in the input, does its magic, and returns an output as an array of integer values.
3. The returned output is converted into a string of unicode characters and given to the user, or inserted in a code file, or whatever. At no point does the black box "read" the input in any way analogous to how a human reads.
Where people get "The AIs have emotions!!!" from returning an array of integers values is beyond me. It's definitely more complicated than "next token predictor", but it really is as simple as "Make words look like numbers, numbers go in, numbers come out, we make the numbers look like words."