I'm arguing that this is to simple of an explanation.
The claude paper showed, that it has some internal model when answering in different languages.
The process of learning can have effects in it, which is more than statistics. IF the training itself optimizes itself by having a internal model representation, than its no longer just statistics.
It also sounds like that humans are the origin of intelligence, but if humans do the same thing as LLM, and the only difference is, that we do not train LLMs from scratch (letting them discover the world, letting them inventing languages etc. but priming them with our world), than our intelligence was emergent and the LLMs one by proxy.
The claude paper showed, that it has some internal model when answering in different languages.
The process of learning can have effects in it, which is more than statistics. IF the training itself optimizes itself by having a internal model representation, than its no longer just statistics.
It also sounds like that humans are the origin of intelligence, but if humans do the same thing as LLM, and the only difference is, that we do not train LLMs from scratch (letting them discover the world, letting them inventing languages etc. but priming them with our world), than our intelligence was emergent and the LLMs one by proxy.