Warpcast now uses an ML model to order casts. 

If you have many unread casts, the model decides which ones go at the very top of your feed. 

It's main purpose is to learn your preferences and show you the most interesting stuff first. I'll go into some more details on how it works in the thread below.

Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

is the model trained to predict whether a user interacted with a cast, given those four input features?

i.e. basically scoring "likelihood of interacting"

ML, robotics, DeFi | building /propertyforecast