This baseball AI just rebuilt itself overnight — and it started with 8.3 million pitches of raw data.

This baseball AI just rebuilt itself overnight — and it started with 8.3 million pitches of raw data. From there, we stacked 7 layers on top of each other. Raw data feeds into player profiles. Player profiles build game memory. Game memory powers a probability model. That drives edge detection, live tracking, and a weekly engine that sharpens itself automatically. You're not maintaining this system. It's building itself faster than most operations even move. The version you explain to someone today is already more complete than it was 24 hours ago. If you want to see how each layer actually works, subscribe — we're breaking it all down.