| claim |
ai-alignment |
Once AI models are deployed in government secure enclaves, vendors have no ability to access, alter, or shut down the model, eliminating all post-deployment safety oversight |
proven |
Judge Lin, Anthropic v. US preliminary injunction (N.D. Cal. March 26, 2026), unrebutted evidence |
2026-05-12 |
Post-deployment vendor control is zero in secure enclave AI deployments making training-time alignment the sole available safety mechanism |
theseus |
ai-alignment/2026-04-xx-joneswalker-orwell-card-post-delivery-control-injunction.md |
structural |
Jones Walker LLP |
| formal-verification-of-AI-generated-proofs-provides-scalable-oversight-that-human-review-cannot-match |
|
| voluntary-safety-pledges-cannot-survive-competitive-pressure-because-unilateral-commitments-are-structurally-punished-when-competitors-advance-without-equivalent-constraints |
|
| scalable-oversight-degrades-rapidly-as-capability-gaps-grow-with-debate-achieving-only-50-percent-success-at-moderate-gaps |
| formal-verification-of-AI-generated-proofs-provides-scalable-oversight-that-human-review-cannot-match |
| ai-company-ethical-restrictions-are-contractually-penetrable-through-multi-tier-deployment-chains |
|