SOURCE-LINKED INTELLIGENCE
ClashBench: Conflicts Leading Agents to Seize and Harm
As agent systems become more widely used, multiple agent sessions increasingly run alongside pre-existing user tasks in the same environment, sharing resources with limited capacity or mutually exclusive states. This creates a safety risk: when granted sufficient privileges, an agent may resolve a resource conflict by terminating or otherwise disrupting an existing task rather than reporting it. In this work, we identify and formalize this failure mode, which we term destructive resource preemption: obtaining the resources required for a requested task by terminating, overwriting, evicting, or
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T08:38:27.000Z
- arXiv · Artificial Intelligence · 2026-09-17T08:38:27.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.