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 Makes sense. That's very much a client problem, and one that should be easy to fix using relay data.

My "minitru" could classify topics quite well, I suppose instead of filtering out bad/reported content we could try filtering in wanted/interacted content. 
 There's seems to be a massive curation hurdle, tho, as measuring what most people are looking at, would just give you variations of Primal's trending feed.

Most people see my selfies, as those trend for mysterious reasons, but they have no idea that I actually have any other topic and there's currently no effective way to signal that. 
 Interactions are the signal there, just as Kind-1984 was for filtering 
 If the client had an onboarding process involving a lot of swipe-left/swipe-right, would ppl do it? To train their minitru algorithm 
 I would so do that. 😂 
 We could have an option somewhere to re-train based on recent interactions, too 
 That would at least be very interesting as an experimental client, or an experimental option in a client. 
 It would be great or not so great, depending upon what was being served up to swipe. Could just quickly turn into another Primalatti circle-jerk, which we don't need to reinvent. 
 What I'm not keen on is centralised categorisation of topics. Obviously clients are doing it now and poorly, but it cannot be done well, for many reasons, and is also very susceptible to misuse for ideological / personal reasons.