[jacobobryant]

> Steve Omohundro had a talk recently where he described the need for "personal AIs" to help individuals resist manipulation from corporate AIs maximizing engagement.

This reminds me of The Big Promise of Recommender Systems (2011) [1]:

> However, when we look at the current recommender systems generation from the point of view of the “recommendee” (users’ side) we can see that recommender systems are more inclined toward achieving short-term sales and business goals. Instead of helping their users to cope with the problem of information overload they can actually contribute to information overload by proposing recommendations that do not meet the users’ current needs or interests. ...

> The window of opportunity is now open to innovate in a third generation of recommender systems that act directly on behalf of their users and help them cope with information overload.

I'm working on something in this space myself[2] (an essay recommender system). I think part of the solution is having recommender systems that are decoupled from publishing; e.g. a video recommender that suggests videos across multiple, unaffiliated sites, instead of the recommender that's built into YouTube.

[1] https://www.researchgate.net/profile/Marc_Torrens/publicatio...

[2] https://essays.findka.com