Google DeepMind is worried about what happens when millions of agents start to interact

Google DeepMind and partner organizations are funding $10 million in research to understand the risks of multi-agent systems (multiple AI agents working together), because deploying millions of these agents could create new security threats like scams and prompt injection attacks (where an AI agent is manipulated by hidden malicious instructions). The researchers plan to study these risks by running realistic simulations where AI agents interact in controlled environments called sandboxes, since predicting behavior from studying single agents alone is insufficient.