I think there's probably quite likely that the desired position for a chatbot on the conformity-contrarian axis is quite different from country to country.
The appropriate tone for a culture seems to be something that US companies are quite poor at. It really surprised me that after many many years of AI in fiction developing a de facto standard baseline of tone that they decided to start out with 'overly familiar cheerful'
I have wondered if the horrific Tiktok voice came from Chinese developers setting it to represent how Americans sound to them. Maybe it goes in both ways.
I was doing similar experiments but having a circle of models debate some particular topic to see if they'd arrive at a consensus or not, and I found that they would almost always arrive at an agreement, but Gemini was always the one that held a position outside of the group consensus.
That said, for something very simple like "What color should my room be" I'm not sure this is a desirable trait. The model that knows most people like cream (or whatever) is probably functioning more correctly than the one suggesting dayglo orange
Interesting result - I wonder you were capturing consensus or agreeableness towards what the user (or in this case: a group chat of robots) is proposing. I think non-agreeableness can be a very valuable trait.
I think there's probably quite likely that the desired position for a chatbot on the conformity-contrarian axis is quite different from country to country.
The appropriate tone for a culture seems to be something that US companies are quite poor at. It really surprised me that after many many years of AI in fiction developing a de facto standard baseline of tone that they decided to start out with 'overly familiar cheerful'
I have wondered if the horrific Tiktok voice came from Chinese developers setting it to represent how Americans sound to them. Maybe it goes in both ways.
I was doing similar experiments but having a circle of models debate some particular topic to see if they'd arrive at a consensus or not, and I found that they would almost always arrive at an agreement, but Gemini was always the one that held a position outside of the group consensus.
That said, for something very simple like "What color should my room be" I'm not sure this is a desirable trait. The model that knows most people like cream (or whatever) is probably functioning more correctly than the one suggesting dayglo orange
Interesting result - I wonder you were capturing consensus or agreeableness towards what the user (or in this case: a group chat of robots) is proposing. I think non-agreeableness can be a very valuable trait.