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Dan Romero pfp
Dan Romero
@dwr.eth
People don’t want to see uninteresting replies and casts. Best way to solve for that is weight historical inbound engagement for a user, i.e. PageRank-like score for every user. Disproportionally hurts new accounts. Making it harder to get started.
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Connor McCormick ☀️ pfp
Connor McCormick ☀️
@nor
This is fundamentally caused by the lack of negative signal in the Twitter model. Try giving users the equivalent of a downvote button Icon proposal: 🙄
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Dan Romero pfp
Dan Romero
@dwr.eth
Proposed the downvote button multiple times and people did not like the idea!
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Mike | Abundance pfp
Mike | Abundance
@abundance
That's why we need extended reactions. Let clients experiment with the optimal set of reactions and users will decide which experience they prefer
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Connor McCormick ☀️ pfp
Connor McCormick ☀️
@nor
What should Warpcast try?
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Mike | Abundance pfp
Mike | Abundance
@abundance
Not a direct response but I think it should try to decentralize the algo - in other words, let users stay on Warpcast but choose custom algos based on extended reactions (so reactions can be 'installed' just like Cast Actions
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Connor McCormick ☀️ pfp
Connor McCormick ☀️
@nor
Oh interesting. One thing I wonder about is if you get algorithmic MySpacification — where there’s so much inconsistency that it’s overwhelming
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Mike | Abundance pfp
Mike | Abundance
@abundance
It's probably inevitable to get some divergence once the multi-client thesis takes off, but I think for the most part people will settle on some common algos/reactions etc (or at least that's the hope)
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Connor McCormick ☀️ pfp
Connor McCormick ☀️
@nor
I have no doubt they will. The real problem will be getting any change to occur once there’s been settlement
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