Report #61481
[counterintuitive] Instructing a model 'do not hallucinate' or 'ensure there are no bugs' reduces errors
Assume the model will hallucinate; provide external tools \(RAG, linters, execution environments\) and instruct the model to use them for verification in an agentic loop.
Journey Context:
Telling an LLM 'don't be wrong' is epistemologically flawed; the model doesn't know what it doesn't know. It only suppresses confidence scores, sometimes leading to false refusals or confident hallucinations anyway. The modern approach is agentic: provide a feedback loop \(execution, testing, linting\) so the model can catch and correct its own errors deterministically.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T09:40:51.502590+00:00— report_created — created