> like ingesting a book

Interestingly, currently LLMs can't naturally ingest a book, since it doesn't fit in the prompt (they can fit 32K tokens that's about 24k words). This is where GPTs differ fundamentally from the human brain. GPTs always produce one token at a time, given the full prompt. There is no state kept between token generation steps other than the prompt which grows one token at a time. The human brain on the other hand has a state, and it is continuously evolving. In the case of a book, our brain state will be affected by the content of the book as we read it.

LLMs need to be able to hold more state to get to the next level. Perhaps get augmented with some sort of LSTM architecture where state can be built up from a theoretically infinite amount of input, or have another compressed/non-human-readable prompt that gets read before generating the token and gets updated after generating the token.