Otherwise, my idea for a dating system would be that given that the majority of texts written will invariably end up being LLM-generated, it would be better if every participant openly had an AI system as their agent. Then the AI systems of both participants could chat and figure out how their user would rate the other user based on their past ratings of suggestions. If the users end up being rated among each others five most viable candidates,
Of course, if the agents are under the full control of the users, the next step of escalation will be that users will tell their agents to lie on their behalf. (‘I am into whatever she is into. If she is big on horses, make up a cute story about me having had a pony at some point. Just put the relevant points on the cheat sheet for the date’.) This might be solved by having the LLM start by sending out a fixed text document. If horses are mentioned as item 521, after entomology but before figure skating, the user is probably not very interested in them. Of course, nothing would prevent a user from at least generically optimizing their profile to their target audience. “A/B testing has shown that the people you want to date are mostly into manga, social justice and ponies, so this is what you should put on your profile.” Adversarially generated boyfriend?
This made me laugh out loud.
Otherwise, my idea for a dating system would be that given that the majority of texts written will invariably end up being LLM-generated, it would be better if every participant openly had an AI system as their agent. Then the AI systems of both participants could chat and figure out how their user would rate the other user based on their past ratings of suggestions. If the users end up being rated among each others five most viable candidates,
Of course, if the agents are under the full control of the users, the next step of escalation will be that users will tell their agents to lie on their behalf. (‘I am into whatever she is into. If she is big on horses, make up a cute story about me having had a pony at some point. Just put the relevant points on the cheat sheet for the date’.) This might be solved by having the LLM start by sending out a fixed text document. If horses are mentioned as item 521, after entomology but before figure skating, the user is probably not very interested in them. Of course, nothing would prevent a user from at least generically optimizing their profile to their target audience. “A/B testing has shown that the people you want to date are mostly into manga, social justice and ponies, so this is what you should put on your profile.” Adversarially generated boyfriend?