We should not be using follow lists, to determine what to read, to attest to someone being worth interacting with, or to publicly declare frenship.
We should not be using mute lists, to mark what we consider spam, or to denote "npubs who get on our nerves and should just be quiet for a bit".
That is bad design dragged in from legacy social media and it is holding us all back. And now we're coming up with bug fixes and workarounds for this stuff, or cracking jokes about how crappy it all is and declaring the crappiness to be our Proud Nostr Tradition, instead of admitting that we need to just scrap that whole concept.
https://media.tenor.com/QmoETUjttMEAAAAC/maybe-things-will-be-better-jade.gif
How do we mute annoying people?
I agree, it would be nice to have more nuance and variety here.
Damus has “mute temporarily” already.
Something I think would be great but we’ll probably have to wait for AI to get good: topic-selective muting.
Then, if you like notes on subject A from a person but can’t stand it when they talk about B, your feed can reflect it.
Oh, heck, yeah. Hadn't even thought of that.
@liminal
Its an interesting idea. i think the human labels for navigating might get us pretty far - more so than AI embeddings. Using some ML and NLP could clean up that feed even more. With embeddings, scale is the biggest issue. They're expensive to hold and compute with. Bet there are open source solutions to model off of though.
I’m not very technical, by human labels do you mean hashtags? They’re not used enough for this functionality
He means the label NIP 1985.
And also 1983 and 1984, of course.
There’s so much potential if AI can detect topics and tone well. It could be a powerful way to find accounts of interest to users, not just selectively muting accounts when they are not of interest.
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