> At it's core an LLM is a sort of "situation specific simulation engine." You setup a scenario, and it then plays it out with it's own internal model of the situation, trained on predicting text in a huge variety of situations. This includes accurate real world models of, e.g. physical systems and processes, that are not going to be accessed or used by all prompts, that don't correctly instruct it to do so.

This idea of LLMs doing simulations of the physical world I've never heard before. In fact a transformer model cannot do this. Do you have a source?