>LLMs do not have a history of self

and

>runs LLM inference repeatedly and saves output to markdown files for the next iteration

What exactly do you think self is in this case? What do you think the output contains? This history allows the LLM to have a more dialectic conversation with itself/agents to avoid iterating over the same problem space in a loop.

>anthropomorphizing

then please come up with a new dictionary for me to use that more accurately explains the behaviors exhibited in LLMs without just creating a parallel dictionary of different but equal words. I'll be glad to use it. No one has presented it so far.