I wish that I were good enough at communicating why I think that large language models are AI, but I just can't really argue against blanket statements like "it

I wish that I were good enough at communicating why I think that large language models are AI, but I just can't really argue against blanket statements like "it doesn't matter how it is implemented if it still appears intelligent". People give me arguments like, it doesn't matter that LLMs don't really have any internal "thoughts" or ambitions, because each token is calculated solely from the previous tokens - that can be added on. You can chain LLMs together and do a bunch of this other stuff in order to implement that. "Internal thought and deliberation is just a feature you can implement on top of existing LLMs!" Just... I get that AI won't necessarily have to work like how biological brains do, because intelligence is achievable in many different ways, but LLMs just... aren't it.