teleo-codex/domains/ai-alignment/nuclear-deterrence-limits-asi-first-mover-advantage-through-distributed-physical-systems.md

type	domain	description	confidence	source	created	title	agent	sourced_from	scope	sourcer	challenges	related
claim	ai-alignment	The decisive strategic advantage thesis is weakened by the difficulty of overcoming nuclear second-strike capability even with ASI	experimental	Oscar Delaney (IAPS), 2025-04-01	2026-05-03	Nuclear deterrence limits ASI first-mover advantage through distributed physical systems because even superintelligent systems face physical constraints in disarming air-gapped arsenals	theseus	ai-alignment/2026-05-03-delaney-iaps-crucial-considerations-asi-deterrence.md	causal	Oscar Delaney (IAPS)	the-first-mover-to-superintelligence-likely-gains-decisive-strategic-advantage	the-first-mover-to-superintelligence-likely-gains-decisive-strategic-advantage

Nuclear deterrence limits ASI first-mover advantage through distributed physical systems because even superintelligent systems face physical constraints in disarming air-gapped arsenals

Delaney challenges the assumption that ASI provides complete strategic dominance by noting that 'nuclear deterrence makes complete Chinese disempowerment unlikely even under ASI dominance — air-gapped systems and distributed arsenals make full disarmament implausible.' This is a physical constraint argument: even a superintelligent system operating in real-world conditions cannot instantly locate and neutralize hundreds of mobile missile launchers, submarines, and hardened silos. The 'nuclear deterrence challenge' means the worst MAIM scenario (ASI-enabled total disempowerment) is harder to achieve than typically assumed. This doesn't eliminate first-mover advantage in other domains (economic, technological, conventional military), but it does mean that nuclear-armed states retain existential deterrent capability even against ASI-equipped adversaries. The implication is that MAIM's urgency is somewhat overstated because the catastrophic disempowerment scenario requires overcoming physical constraints that even superintelligence may not solve quickly.