Don't have an answer to your exact question, but waxing philosophical for a moment, it's interesting that if you were talking to a person they would use their e

Don't have an answer to your exact question, but waxing philosophical for a moment, it's interesting that if you were talking to a person they would use their experience to maybe redirect you if they thought your intentions were wrong - subtly or overtly. It's probably really hard, in a casual way to get all the biases right in an LLM. When should it listen to you directly, and when should it say, no your wrong? There are probably a ton of use cases where you want the "wrong" answer, almost anything innovative is going to go against the grain of what a system would think is "right" by definition. Be 77% confident in your answer is hard to tune and a bad UX.