Earlier quoted context omitted.
Yeah, but that's their interface. That informs surprisingly little about their inner workings. ANNs are arbitrary function approximators. The training process uses statistical methods to identify a set of parameters that approximate the function as best as possible. That doesn't necessarily mean that the end result is equivalent to a very fancy multi-stage linear regression. It's a possible outcome of the process, bu…
> Yeah, but that's their interface. That informs surprisingly little about their inner workings. I'm not sure I follow. LLMs are probabilistic next-token prediction based on current context, that is a factual, foundational statement about the technology that runs all LLMs today. We can ascribe other things to that, such as reasoning or knowledge or agency, but that doesn't change how they work. Their fundamental arch…
I think the reason people don't say that is because they want to say "I already understand what they are, and I'm not impressed and it's nothing new". But what the comment you are replying to is saying is that the inner workings are the important innovative stuff.