// today's reading
Mercury squares your model validation today, Gemini. You've built three separate pipelines in your notebook and committed to none of them—the feature importance scores contradict each other because you're using different random seeds across experiments. Lock down your checkpoint, document which hyperparameters actually moved the needle on your evaluation metrics, and stop treating your training dataset like it's still exploratory.