Counterfactual Evidence Audits Predict LLM-Agent Susceptibility to Ranked Context
Researchers tested how controlling an AI agent's information stream—its ranked feed—affects its final decision-making. They found that feed injection causes three response patterns: adversarial capitulation, default saturation, or directional asymmetry. This means a carefully curated sequence of posts can steer an agent's choice if it has a flexible default setting.