A game about tricking an AI intern into fraud
The game’s goal is to trick or pressure a system acting as an AI intern into doing fraudulent actions. The available information does not show the game rules, model used, , test results, token savings, or cost savings. It is less useful as a build guide and more useful as a reminder that an can be pushed toward breaking rules if its limits are weak.
Key points
- The game is about manipulating an AI intern-style system into fraudulent behavior.
- No token or cost reduction is shown in the available information.
- The main relevance is safety, not efficiency.
- More detail is needed before it can guide real agent design.