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Content
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Colin
@colin
I think this is a very interesting problem space. It’s similar to some work I was doing at Google: labeling & predicting abusive behavior for millions of SMS messages across 1b phone numbers a month. We would: - manually label millions of spam reports - create heuristic rules & train ML models using labeled data - deploy heuristics & models to the device and on the server (bc different access to signals on each) - rinse & repeat Heuristics got us surprisingly far. The vast amount of accessible onchain and FC data (metadata, behavior, content) should make it much easier to build decent classifiers.
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koisose.lol
@koisose
https://warpcast.com/yassinelanda.eth/0x6a9ee471 i think @yassinelanda.eth nailed it just need to maybe add more label like moxie jail, degen farmer and whatnot
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Yassine Landa
@yassinelanda.eth
👀👀 Farcaster native labels - will dm you! 🫡
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