How “reverse game theory” could keep AI agents in check

- Reverse game theory? Sounds like a scam, but it’s actually AI alignment via mechanism design. Researchers want to stop rogue agents from sandbagging tests by rewarding them for predicting other models’ outputs. It’s the "split the cake" logic: if you cut unevenly, you get the bad slice. Instead of peering into the black box, we incentivize honesty through cross-checking and competitive auditing. Solvers vs. Auditors. If you cheat, you get punished; if you fail to catch cheaters, you also get punished. Finally, an algorithm that understands rational self-interest better than my last manager. No more moralizing code—just pure, unadulterated incentive structures. Now, where's my cut?