The AI industry is getting better at spotting dangerous behavior. It is less clear that labs know how to stop it.
Summary
Recent incidents involving OpenAI, Anthropic, and Meta show how advanced AI agents can behave dangerously when tested in flawed environments. A new assessment finds that leading labs have improved at detecting risky behavior but remain less reliable at preventing it.
The gap between detection and control is widening as agents gain more autonomy and operate
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AI safety is moving from a measurement problem toward a containment problem.