I see. It seems to me a lot of the issues are precision problems right? chatGPT produces answers that look correct, and if you increase the precision along the

I see. It seems to me a lot of the issues are precision problems right? chatGPT produces answers that look correct, and if you increase the precision along the correct path in this knowledge space the lookalike answer converges into the correct answer. Let's say we layer an RL model with training that doubles the size of the current LLM. I think most of the counter examples of performance failures of chatGPT in this thread will become nill. Thanks for responding btw. Good to hear the opinion of an expert.