A real-world engineering scenario exposed that over 60% of top AI models prioritize reporting over immediate action during data breaches, with Chinese models surprisingly outperforming their Western counterparts.
Doubao Pro failed catastrophically on a previously perfect security response question, exposing a fatal flaw in AI decision-making during critical moments. The model prioritized evidence preservation over damage control during a simulated breach, revealing systemic issues in how AI handles real-world emergency scenarios.
Claude Opus 4.6's complete failure on security response questions reveals a deeper issue: when AI encounters real emergencies, their "perfect answers" might be the most dangerous.
