Development of unsafe AGI

Mitigation strategy

1. Implement global-scale regulatory and coordination frameworks—such as compute accounting, training caps, and an AI Neutral Zone—to structurally de-incentivize the competitive acceleration of AGI development and reorient incentives toward verifiable safety and collective alignment. 2. Mandate the creation and rigorous review of formal **Safety Cases** at defined pre-deployment development checkpoints, requiring affirmative proof of model alignment, capability non-harmfulness (e.g., inability cases), and robustness against sophisticated misuse via comprehensive red-teaming. 3. Establish and enforce quantifiable, auditable technical standards for **Compute Transparency and Limitation**, imposing hard caps on the total computational resources (FLOPs) used in the training and operation of models to create a measurable backstop against the unchecked development of dangerously powerful systems.