Oh cool, then you know about it a lot more than me. I only watched a couple of videos on the topic. You said prior vs sensory evidence is highly contested topic. Could you suggest a resources to learn more about it? Thanks

Google “active inference”, I think this is what the comment is referring to

How did you solve word wrapping if you don’t mind asking? I had the same problem once in my TUI side project, but couldn’t figure it out on my own

Yeah, it would be a completely different project. But cool extension anyway, I’m definitely going to use it

Oh wait, I've just realized you probably referred to my second reply. You would need to listen to live updates from firehose and implement your own algorithm for spam detection. For example, if someone follows other people at high speed (100 follows/minute, for example) it's likely they're a bot.

Not sure I got the question, but if you would turn it into a labeler it would be natively integrated into the bluesky app (both on mobile and web), where everyone could follow it. There's an official doc on how labeling works: docs.bsky.app/docs/advance....

Also here’s idea for a labeler: detect & label accounts engaging in mass following and spam replies

I wonder if this feature could be implemented as labeler, which is not the main purpose of labeling, but still interesting to see if this would work

I don’t

monkey see green checkmarks passing by, monkey happy