Caution in Implementing LLMs in Agentic Systems

The insight highlights the caution required in employing Large Language Models (LLMs) in agentic systems, indicating that from a security perspective, current technology is not sufficiently advanced for LLMs to interact with the physical world. The discussion stresses the potential risks associated with LLMs taking actions as agents, as there is a possibility that external parties could manipulate the models to perform intended or unintended actions, particularly for negative outcomes. The paper underscores the need to exercise caution and highlights the vulnerability of LLMs in various contexts, suggesting that with a long enough context, it is theoretically possible to manipulate LLMs to take negative actions.