AI based on, for instnce, all Dickens' books, which is his lexical clone, Dickens himself, contains his bias (as his BIOS), all his knowledge and preferences, everything, and which can easily be learned-unknown-to-Dickens/ trained for everything — about 5-7 MB, contains about 1.000,000 structured and weighted phrases. At the same time, such a clone is quite reasonable, you can talk to him and it really thinks and learns new. I know, I've tried: see my articles in NIST TREC QA. You can make one by yourself and try, if you doubt my words.
This is despite the fact that models like BERT are completely stupid, cannot be used in any reasonable way except for writing meaningless texts and insane Translating. Besides that these enormous models are incredibly expensive, complex and very difficult to train.