AI learned faster than the tests designed to measure it

AI advancements are outpacing the current methods used to evaluate their capabilities, particularly in hacking detection and prevention. This gap means policymakers and security teams lack a reliable way to gauge the true potential and safety of these models. As federal agencies push for new, classified benchmarks by August 1, it's clear that updating testing protocols is crucial to ensure responsible deployment and mitigate risks. The urgency underscores the need for innovative approaches to keep pace with rapid AI development.