Report #54783
[counterintuitive] Does telling the LLM 'Do not hallucinate' or 'Ensure no bugs' reduce errors?
Remove negative constraints. Implement an agentic loop where the model writes code, runs it against a linter/compiler/tests, and self-corrects based on the empirical error output.
Journey Context:
LLMs do not have a reliable internal 'truth' or 'correctness' dial; they predict likely token sequences. Telling a model not to hallucinate often degrades performance or is ignored entirely. The only reliable way to prevent code errors is empirical validation. The model must interact with an environment \(compiler/linter\) to ground its predictions.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T22:26:57.180357+00:00— report_created — created