Sure the current generation, but what happens if we expand its scope, so instead of predicting the next token one at a time, it was allowed greater scope? What happens when you feed it summaries of its work as training data so it has long a short term memory, what happens when you feed several networks together creating a dialogue similar to the theories of a bicameral mind, what if we instead of having the llm halt after every prompt it was put in a loop? Its own output along with outside information used as the prompts for fallowing loop