New Preprint Proposes Comprehension Audits to Gate AI Self-Improvement
ronbodkin · x · 2026-10-09
In a thread promoting their new preprint, the authors argue that existing AI self-improvement pacing proposals—capability thresholds, compute caps, mandatory lags—never check whether the responsible humans can still explain what was built, making approval without understanding meaningless.
The paper proposes comprehension audits: responsible people must explain R&D contributions to independent auditors to demonstrate understanding; failure halts development until remediated, with escalating consequences for repeat failures. They advocate labs embed independent auditors to administer these checks.
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