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PostgreSQL proposed to prevent AI agent hallucinations

By PulseAugur Editorial · [1 sources] ·

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.

RANK_REASON The item discusses a potential solution to a known AI problem (hallucination) but does not present a new model release, research finding, or product launch.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

PostgreSQL proposed to prevent AI agent hallucinations

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The item discusses a potential solution to a known AI problem (hallucination) but does not present a new model release, research finding, or product launch.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    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

    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 days at the AI Agent Conference in New York: # Postgres . Not for RAG or pgvector - for the action ledger, RLS-backed po…

    LINKS pgedge.com/…/going-rogue-autonomous-ai-ag…

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