Executive summary: SociaLLM is a proposed language model architecture for building personalized AI applications, conducting social science research, and pursuing AI safety goals.
Key points:
SociaLLM tracks separate message streams related to conversations, individual users, and user pairs to enable personalization.
It could power apps for comment reordering, recommendations, customer service, education, mental health counseling, media analysis, and more.
The model facilitates research into language, theory of mind, group dynamics, information flow, and collective intelligence.
Studying deception and collusion with SociaLLM may inform techniques to prevent undesirable behavior in AI teams.
Open questions remain around optimally engineering SociaLLM blocks and measuring information content.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: SociaLLM is a proposed language model architecture for building personalized AI applications, conducting social science research, and pursuing AI safety goals.
Key points:
SociaLLM tracks separate message streams related to conversations, individual users, and user pairs to enable personalization.
It could power apps for comment reordering, recommendations, customer service, education, mental health counseling, media analysis, and more.
The model facilitates research into language, theory of mind, group dynamics, information flow, and collective intelligence.
Studying deception and collusion with SociaLLM may inform techniques to prevent undesirable behavior in AI teams.
Open questions remain around optimally engineering SociaLLM blocks and measuring information content.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.