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Jacek.degen.eth 🎩 pfp
Jacek.degen.eth 🎩
@jacek
🚨 Spam Bans Part III 🚨 Reset all points, tip allowances, and spam labels due to numerous false positives in the Warpcast spam label dataset. Hot-testing new ideas tomorrow. Drop any ideas you have on how to stop spammers and farmers below. ⬇️
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Ramsey  🎩🀝  pfp
Ramsey 🎩🀝
@ramsey
It has to be a combo of hard data and manual correction. But coupled with education and guidance. Hard data alone does not count in the human factor. Wave 1 of bans (channels, ring leaders and accs that tip ring leaders 3x) was solid but needed some correction for false positives. Doing everything manually aka dedegen style is hard manual labor (don't ask how I know) and people will get around it by doing multiple accs or expanding the ring. Using all sets of data (e.g. spam label of 0, open score, neynar, what @burrrrrberry mentioned about combining different banned users from diff protocols etc) as a starter, trying to understand the impact before the commit, and then seeing what went wrong is how I would try to do it (without having any code knowledge whatsoever). Also, @deployer has a great 2 part method for hams. 1) if you withdraw over daily allo, an allo until you get tipped that amount and 2) tip more than your allo, it goes from your own funds. Not saying "copy that", but just sth to consider.
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dante4ever.base.eth🏰🎯🎩 pfp
dante4ever.base.eth🏰🎯🎩
@dante4ever.eth
I think the human factor part is not a good idea. Because some personal vendettas could end in some results thats not fair ( ive been the victim in a war between 2 farmers lol ) but combining datas and behavior of users could be end in a good results. Some trained ai agents could do the deed right
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