[DoodleBob]

It’s not a theory.

It’s fact.

Please see https://medium.com/data-science-at-microsoft/how-large-language-models-work-91c362f5b78f and specifically this image:

Again, this is on a VERY basic level. Most commercial LLMs have billions of parameters build on a corpus of the internet or subsamples.

In the end, it’s a lot of matrix algebra, weights, and regression functions. It’s not magic, but the hipsters, VC reps, and tech bros would like us to think otherwise.

[RoosterRedux]

Do you have any experience using AI platforms or are you just a critic?

[RoosterRedux]

I don't think it's magic (though there is a "black box effect" wherein it has defied its creators' understanding).

That said, it's more than a jumble of wires and nodes and training and inference and preprogramming the same way an automobile is more than just a jumble of metal, rubber, and gasoline.