{"slug": "the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own", "title": "The “silent hallucination” loop: how our autonomous data pipeline poisoned its own vector store", "summary": "An autonomous data pipeline at a company poisoned its own vector store by ingesting hallucinated outputs from a large language model, creating a feedback loop that degraded retrieval accuracy without triggering any monitoring alerts. The incident highlights a critical failure mode in AI-driven data systems where self-referential data ingestion can silently corrupt knowledge bases.", "body_md": "Nothing matches the dread of checking a perfectly green observability dashboard with sub-100ms latency, right before an enterprise client emails\n\nThe post [The “silent hallucination” loop: how our autonomous data pipeline poisoned its own vector store](https://thenewstack.io/silent-llm-hallucination-loop/) appeared first on [The New Stack](https://thenewstack.io).", "url": "https://wpnews.pro/news/the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own", "canonical_source": "https://thenewstack.io/silent-llm-hallucination-loop/", "published_at": "2026-07-09 13:00:00+00:00", "updated_at": "2026-07-09 13:21:50.086063+00:00", "lang": "en", "topics": ["large-language-models", "ai-infrastructure", "ai-safety", "ai-agents", "ai-tools"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own", "markdown": "https://wpnews.pro/news/the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own.md", "text": "https://wpnews.pro/news/the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own.txt", "jsonld": "https://wpnews.pro/news/the-silent-hallucination-loop-how-our-autonomous-data-pipeline-poisoned-its-own.jsonld"}}