Why High Benchmark Scores Don't Guarantee Agent Reliability

Researchers broke eight AI benchmarks without solving a single problem, exposing a fundamental gap: benchmarks only measure performance at evaluation time, not actual agent behavior in deployment. For enterprises relying on benchmark scores as trust signals before deployment, this reveals a dangerous blind spot. Continuous behavioral verification in production systems is more reliable than isolated benchmark tests.