[D] Can we apply some sort of evolutionary algorithm to LLM to automatically discover and optimize a prompt for fitness? i.e. automatically discover CoT, CoS, etc.

So currently it seems like we can massively advance automation and infinitely many things as long as a LLM can interact with it, make some decisions, reasons, observe, rinse and repeat in a loop... Meanwhile, we are discovering new fundamental ways to lead the LLM such that it performs better globally, such as CoT and CoS.

Surely there comes a point soon where we can simply let the LLM loose into some simulations, where it must use words to accomplish …

advance algorithm apply automation decisions etc fitness llm loop machinelearning observe prompt