This paper reframes AI safety around irreversibility, arguing that low-friction deployment changes the control problem more than raw capability does. It should interest safety researchers looking for a systems-level lens on governance, containment, and decision boundaries.
arXiv:2605.01415v1 Announce Type: new Abstract: Recent AI systems compress the distance between capability growth and capability deployment. Earlier high-risk technologies were slowed by capital intensity, physical bottlenecks, organizational inertia, and specialized supply chains. By contrast, AI capabilities can be copied, invoked, embedded in workflows, and scaled across institutions at low marginal cost. This paper argues that declining deployment friction changes the safety problem at its…