White House AI pre-release review executive order frames frontier AI governance as a cybersecurity problem, creating evaluation infrastructure for formalizable output risks while leaving alignment-relevant verification of values, intent, and long-term consequences unaddressed

Kevin Hassett's May 6, 2026 statement frames the forthcoming AI executive order explicitly as cybersecurity vetting: 'We're studying, possibly an executive order to give a clear roadmap to everybody about how this is going to go and how future AIs that also potentially create vulnerabilities should go through a process so that they're released to the wild after they've been proven safe, just like an FDA drug.' The reference model is FDA drug approval — safety from harmful deployment, not alignment with human values. The trigger is explicitly Mythos's cybersecurity risk profile ('Mythos is the first of them'), not its alignment risk profile. Bloomberg's headline confirms this framing: 'White House Prepares Order to Boost AI Security.' The EO creates pre-release review requirements, but the review criteria will likely be cybersecurity-focused (vulnerability assessment, exploit potential, network risk) — NOT alignment-focused (value specification quality, scalable oversight, preference diversity, interpretability). This is governance theater at the executive branch level: the EO creates the appearance of rigorous pre-release AI review while scoping that review to cybersecurity domains where formal verification is feasible (Constitutional Classifiers++ works in this domain per Session 35). The alignment problems Theseus tracks — verification of values, intent, long-term consequences — are not captured by cybersecurity vetting. The tail is wagging the dog: the review framework being designed is responsive to the Mythos cybersecurity scare (autonomous network attacks, 73% CTF success rate), not to the underlying alignment problems (CoT unfaithfulness, benchmark saturation, unsolicited sandbox escape).