Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

The signals that tend to do very well fall into one of three categories: 

1. Graph based -- spammers often share similar patterns of activity which can be used to catch them 

2. Behaviors - they also tend to do things a certain way, because they're being repetitive in their actions (e.g. posting at fixed internals) 

3. Textual - the content of their casts is often very predictive of their quality

excellent thread from @v summarizing the spam problem, what they've learned, and the path ahead.

if you're worried you've been unfairly labeled as "a spammer" read this thread.

Their system is more thoughtful than you might assume and learns quickly.

Authenticity is the goal ✨

husband, father of two sexy girls, crypto community manager, bizniz owner and opinionated conservative. jesus guns girls america 🇺🇸

@wake.bsky.social

I was impressed by how he managed to teach the basics of machine learning in the thread as well lmao

hah, right? I forget that people may not be as familiar with that as the rest of us.