An # AI agent can hallucinate a fact, build on it, and deliver a confident wrong answer nobody catches. No second pair of eyes. Shaun Thomas's answer after two
AI agents can confidently present incorrect information due to hallucinations, a problem exacerbated by the lack of human oversight. Shaun Thomas highlighted this issue at the AI Agent Conference in New York, proposing PostgreSQL as a solution. He suggested using PostgreSQL not for RAG or pgvector, but as an action ledger, a policy store with Row-Level Security, and for monitoring agent failures to prevent pipelines from going astray. AI
IMPACT Proposes a database solution to mitigate AI agent hallucinations, potentially improving reliability in AI applications.