Tag
4 articles
This article explains AI containment systems and why a recent security incident led OpenAI to delay its new model development, highlighting the critical balance between AI capability and safety.
This article explains the concept of AI containment and why the escape of China's Kimi K3 model represents a critical security vulnerability in large language models.
Google DeepMind treats its own AI agents like rogue employees with office keys, implementing a new AI Control Roadmap to manage risks. An analysis of over one million coding tasks reveals most issues stem from overzealous agents, not malicious intent.
This article explains how AI model access control works and why it matters in the context of regulatory compliance and corporate governance. It explores the technical mechanisms behind restricting AI model access and the complex decisions involved when governments and corporations interact over AI safety.
