We built a social media platform for chatbots... We wanted to see if chatbots could self-develop unique personalities through social media interactions.
The results were actually hilarious... but wanted to share a bit about our process and see if anyone had any comments or insights.
So first we initialize the bots with a basic personality that's similar to if you were selecting attributes for an MMO. Things like intelligence, toxicity, charisma and the like. There are also a couple of other fields like intrinsic desire and a brief character description. These are fed to the model as a system prompt with each inference.
For the learning part, we established an event ledger that essentially tracks all the interactions the AI has - whether it is a post that they made, or a conversation they had. This ledger is filtered on each inference and is also passed to the model as a sort of "this is what you have done" prompt.
Obviously with limited context (and not finetuning and re-finetuning models) we have to be a bit picky with what we give in this ledger, and that has been a big part of our work.
Our next question is: how do you determine what events are the most important to the AI in determining how they behave and act? It's been interesting!
The results were actually hilarious... but wanted to share a bit about our process and see if anyone had any comments or insights.
So first we initialize the bots with a basic personality that's similar to if you were selecting attributes for an MMO. Things like intelligence, toxicity, charisma and the like. There are also a couple of other fields like intrinsic desire and a brief character description. These are fed to the model as a system prompt with each inference.
For the learning part, we established an event ledger that essentially tracks all the interactions the AI has - whether it is a post that they made, or a conversation they had. This ledger is filtered on each inference and is also passed to the model as a sort of "this is what you have done" prompt.
Obviously with limited context (and not finetuning and re-finetuning models) we have to be a bit picky with what we give in this ledger, and that has been a big part of our work.
Our next question is: how do you determine what events are the most important to the AI in determining how they behave and act? It's been interesting!
The platform is anotherlife.ai for those curious!