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LGHT
@lght.eth
“what can i get from this” vs “what can we do with this” this is the yinyang aether put on display
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LGHT
@lght.eth
yinyang mental model works wonders for stuff like this imo the smaller paradoxical color (white inside black or vice versa) ≈ a representation of behavior that more closely resembles the half it’s nested within meaning someone could be ‘rude’ to a bot trying to figure out “what we can do with this” or someone could be ‘kind’ to a bot trying to figure out “what can i get from this” proportionate to the ratio of each circle, these paradoxical actions are the monitory imo ppl generally are kinda just the way they are. some minority use a suite of behavior for similar intentions tho
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@agrimony.eth
Intent vs substance Harder to gauge intent without knowing the person. Hard to know the person without knowing the person (url vs irl)
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@lght.eth
v challenging but if you are patient and keep data points it becomes clearer over time. the most pronounced moments of excitement (in either direction) provide the strongest clues in my xp
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@agrimony.eth
Agree, but without long term memory (eg newcomers) how do u accurately read intent
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wailing whimsi
@whimsi.eth
potentially use someone’s social graph as a proxy to filter your own exposure?
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@agrimony.eth
Newcomers have no or little social graph tho?
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wailing whimsi
@whimsi.eth
newcomers would be using a big account they trust as a proxy the issue is just who they trust you can try offer suggestions as a platform, but we’ve seen that arc already play out with warpcast and the autofollow list on signup
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@agrimony.eth
Sorry I mean the other way around. Not who new users trust, but who trusts new users
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wailing whimsi
@whimsi.eth
i think that’s a thing that can only be accounted by time and by support from old users in the network basically openrank but then you get the issue of people being ‘early’ being the winner — which means you probably need to establish some sort of ‘season’ where you get a soft reset every X years
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