The "predict the next word" to a current llm is at the same level as a "transistor" (or gate) is to a modern cpu. I don't understand llms enough to expand on that comparison, but I can see how having layers above that feed the layers below to "predict the next word" and use the output to modify the input leading to what we see today. It is turtles all the way down.
There is a big difference, because I understand how those transistors produce a picture on a screen, I don’t understand how LLMs do what they do. The difference is so big that the comparison is useless.