Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems

Emergence World is a new adversarial stress-testing framework for long-horizon multi-agent systems, according to the source, which notes that as AI agents move from bounded tasks to persistent deployments, failures can propagate through memory, tools, other agents, and environmental state long after their interactions. The source states this creates a safety regime that cannot be characterized by evaluating model responses in isolation.

As AI agents move from bounded tasks to persistent deployments, failures can propagate through memory, tools, other agents, and environmental state long after their interactions. This creates a safety regime that cannot be characterized by evaluating model responses in isolation. Emergence World, is