An AI security expert argues against using large language models (LLMs) as the final decision-maker for AI agent actions, citing two primary concerns. Firstly, using an LLM to judge another LLM's actions introduces the same vulnerabilities to prompt injection and manipulation, essentially creating a "model watching a model" with the same inherent weaknesses. Secondly, the inherent non-deterministic nature of LLMs means that a critical action could be permitted one day and denied the next, making it unreliable for security-sensitive decisions that require consistent, auditable outcomes. AI
IMPACT Suggests that LLMs should not be the sole arbiter of AI agent actions due to security and reliability concerns.
RANK_REASON Opinion piece from an individual in the AI field discussing a technical approach.
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