Harmonizing AI Safety Thresholds

Explain Like I'm Normal

Researchers are proposing a unified framework to define exactly when an AI model becomes 'dangerous' across cyber, bio, and R&D domains. Currently, labs like OpenAI and Anthropic use different metrics, making it impossible to hold the industry to a single safety bar. This paper introduces a math-heavy way to sync those thresholds before we accidentally build something we can't control.