A Blueprint for Shared AI Safety Thresholds Across Frontier Companies
Frontier AI firms publish wildly different capability thresholds, crippling third‑party verification and fostering a race to the bottom. This paper proposes a concrete methodology to derive harmonized minimum standards for misuse risks and AI R&D, rooting thresholds in expected harm and observed progress rates while exposing empirical gaps.