A new technical exposition targets mathematicians to formalize the logic of AI existential risk. The paper translates vague safety concerns into rigorous proofs and probability distributions. It attempts to strip away rhetorical fluff to find a common language for risk assessment. Researchers can now apply formal verification methods to evaluate catastrophic failure modes in advanced models.