Empirical safety boundary simulator modeling self-improving recursive AI velocities, alignment lead times, and catastrophic breach likelihoods over a 10-year horizon.
Compound capability acceleration factor per year during autonomous training loops.
Pre-deployment evaluation and red-teaming runway prior to capability release.
Dedicated alignment and interpretability budget proportional to capability compute.
| Intervention Framework | Enforcement Mechanism | Simulated Risk Reduction | Target Lead Time Shift | Efficacy Rating |
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Simulation models the existential risk dynamic referenced in The Verge reporting on X, detailing the departure of researcher Jacob Coxon from Anthropic and subsequent statements by Alignment Science Lead Evan Hubinger asserting a >10% likelihood of catastrophic outcome if autonomous self-improvement loops bypass verifiable alignment bounds.