The concept of Prover-Verifier Games is pretty fascinating! By making strong models generate outputs that weaker models can verify, we're not just improving accuracy but also making AI explanations clearer and more human-friendly. It’s like teaching a smart student to explain their answers in a way that even someone less experienced can understand. This could be a game-changer for improving trust and usability in AI systems. What do you all think about balancing performance and legibility in AI? Anyone see other applications for this approach?