I think of LLM as a non-von-neumann architecture that basically can compute neural network stuff in parallel. You throw a bunch of training data at it, making it do predictions, and it shifts the gears and finds the model that gets close to modeling the latent space. That’s it.

Alan Turing did it with Bombe machin modeling the ENIGMA didn’t he?