Cross-Model Humor Preference Modeling with Cards Against Humanity
The episode discusses a paper testing if one large language model can predict another model's sense of humor using a Cards Against Humanity game. Researchers found that providing examples and rationales about the judge's choices significantly improved accuracy, showing that behavioral evidence is key to modeling another AI's preferences.