[littlestymaar]

> Creating a small group of bot 'personalities' that have an internal dialog, generating and sharing intermediate values before coming to a consensus and issuing a response to a user is trivial. I did it in my earliest experiments with GPT-3

> You could use the same framework to generate an internal dialog for a bot.

We can, for sure. But will it works? Given my (admittedly limited) experience with feeding LLM-generated stuff back in the LLM, I'd suspect it may actually lower the output quality. But maybe fine-tuning for this specific work-case could be a solution to this problem, as I suspect the instruction-tuning to be a culprit in the poor behavior I've witnessed (the bots have been instruction-tuned to believe the human, and apologize if you tell them they've made mistakes for instance, even if they were right in the first place, so this blind trust is likely polluting the results).