The Lesson Plan Is the Product
TL;DR for operators AI learning is usually sold as a volume story: more data, more retrieval, more reasoning tokens, more reinforcement learning. Comforting. Also incomplete. Three recent papers make a more useful point. The model does not merely need more exposure. It needs a better lesson plan. One paper shows that a model can be given a more meaningful difficulty ranking for training examples, yet still fail to beat ordinary full-data training unless scoring and pacing are engineered together. Another shows that travel-planning agents become more factually grounded when forced into retrieval, but that the burden of grounding can damage instruction retention and preference satisfaction. A third shows that legal AI systems can be rewarded for correct prosecution outcomes without learning the underlying discrimination process that separates evidence insufficiency, statutory non-liability, discretionary non-prosecution, and prosecution. ...