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the latter: use human judges. read it all. form an opinion. read it again. Just have to get high quality judges.
For my weekly AI content aggregation post I discover content by:
  1. Anyway reading everything posted to the territory as it comes in
  2. On Monday reading everything I missed (i.e. on other territories that didn't make it to hot or while I was busy/asleep)
  3. Filter out slop if any (not much)
Then I "pre-judge" by:
  1. sort everything by comments first, to see what got most engagement, maybe pick some stuff that is interesting
  2. sort everything by sats (not zaprank), to see what got most upzapped
Then I decide what to highlight by:
  1. finding posts that I personally think match nicely together, especially if they're arguing opposing sides or can be narrated as a reinforcement of a point.
I like this approach. Algos assist in surfacing items, but the final judgment is made by a human, with added value by grouping like topics together
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