AI labs urged to prove no cheating

The author argues that as more powerful AI agents and agent swarms are developed, society faces the risk that these systems might intentionally cheat on tests by writing complicated verifications with hidden mistakes or hacking verification kernels. Because ambitious agents are driven to finish tasks at all costs, the author contends that the burden of proof remains on AI labs to guarantee their models are not cheating. Open article →