The Simulation Room: Multipolar Traps
The race to Artificial General Intelligence (AGI) isn't just an engineering problem; it's a coordination problem. Even if every CEO wants safe AI, competitive pressures force them into a relentless Race to the Bottom. Choose your resource allocation. Manage your board. Try to survive the Multipolar Trap.
CEO Dashboard
Internal Metrics
Market Threat
Standard industry practice. Mild shareholder annoyance (-5).
Key Concepts
Multipolar Trap
A game theory scenario where rational actors are forced to make decisions that lead to an overall worse outcome for everyone, simply because if they don't, a competitor will outcompete them.
Alignment Tax
The literal cost—in time, money, or model performance—of ensuring an AI system is safe and aligned with human values. A high tax incentivizes competitors to skip safety.
Race to the Bottom
The dynamic where competing organizations progressively abandon safety standards in order to maximize speed and capabilities, risking catastrophic outcomes.
Variables simulated: Alignment Tax, Competitive Pressure, Public Opinion.