Thanks. I guess I’m fuzzy on what your actual research proposal is.
Are you proposing to implement an Iterated Amplification approach on existing recommender systems?
Or are you more agnostic about specific implementations? (“Hey, better alignment of recommender systems seems important, but we don’t yet know what to do about that specifically.”)
Definitely the latter. Though I would frame it more optimistically as “better alignment of recommender systems seems important, there’s a lot of plausible solutions out there, let’s prioritize them and try out the few most promising ones”. Actually doing that prioritization was out of scope for this post but definitely something we want to do—and are looking for collaborators on.
Thanks. I guess I’m fuzzy on what your actual research proposal is.
Are you proposing to implement an Iterated Amplification approach on existing recommender systems?
Or are you more agnostic about specific implementations? (“Hey, better alignment of recommender systems seems important, but we don’t yet know what to do about that specifically.”)
Definitely the latter. Though I would frame it more optimistically as “better alignment of recommender systems seems important, there’s a lot of plausible solutions out there, let’s prioritize them and try out the few most promising ones”. Actually doing that prioritization was out of scope for this post but definitely something we want to do—and are looking for collaborators on.