Varun Srinivasan
@v
Interesting misconception that Dan flagged today - people think that we are (or could be) using LLMs for spam detection. With the way LLMs work today, that's like using a hammer to cut your fingernails. LLMs are slow, expensive and don't really have a deep understanding of what spam is in the context of Farcaster. We use a random-forest decision tree that @akshaan designed, and feed it a bunch of signals using embeddings, user actions and graph data.
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Jonas 💀
@jmaaloe
Do you have some patent-pending revolutionary algo for spam detection in there, or are you going to beef up a real compliance team to monitor the million upon million thorny cases, that technology no where else has been sufficient at doing?
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