Could one model help build another model that makes decisions? Here are 3 approaches worth exploring ↓ 1. Strands Decider Models help produce and check training material: The team replaces Qwen3.5-2B’s language-generation head with a pointer head that scores supplied options. One Qwen generates questions, a larger Qwen checks them, and a Gemma model supplies teacher signals for a later recipe. People choose the recipe and tests. 2. SII-Decision Rreasoning helps teach a fast readout. A Qwen model reasons through questions, then learns to approximate those answer probabilities without repeating the reasoning. Some benefit carries over to classification, but much less to difficult multistep tasks. 3. Distil– a coding agent fixes its teacher’s labeling mistake Nemotron treated one warning sign as several independent confirmations. The agent clarified the instructions and had it relabel the data. Distil reports that a Qwen student’s score rose from 72.6% to 78.5% against model-generated reference answers. This is AI Builds AI in a form we can inspect. Models help produce and check training material; people choose the recipe and tests. What else could a model contribute? Here are other interesting cases and where they fit in the bigger intelligence puzzle