Constraining the output of an AI seems like a reasonable option to explore to me. I agree that generating a finite set of humanlike answers (with a chatbot or otherwise) might be a sensible way to do this. An AI could perform gradient descent over the solution space then pick the nearest proposed behaviour (it could work like relaxation in integer programming).
The multiple choice AI (with human-suggested options) is the most obvious option for avoiding unhumanlike behaviour. Paul has said in some medium comments that he thinks his more elaborate approach of combining mimicry and optimisation [1] would work better though.
Constraining the output of an AI seems like a reasonable option to explore to me. I agree that generating a finite set of humanlike answers (with a chatbot or otherwise) might be a sensible way to do this. An AI could perform gradient descent over the solution space then pick the nearest proposed behaviour (it could work like relaxation in integer programming).
The multiple choice AI (with human-suggested options) is the most obvious option for avoiding unhumanlike behaviour. Paul has said in some medium comments that he thinks his more elaborate approach of combining mimicry and optimisation [1] would work better though.
https://medium.com/ai-control/mimicry-maximization-and-meeting-halfway-c149dd23fc17