Claude Opus 5.5 edits Qwen2.5-0.5B-Instruct weights to reduce hallucinations

·2026.11.11 12:24

Key point

The experiment modified 10,752 weights (0.002% of the model) to force the base model to admit uncertainty instead of inventing answers.

Claude Opus 5.5 directly edited neural network weights to improve AI honesty and reduce hallucinations.
The target model was Qwen2.5-0.5B-Instruct, which was modified to admit uncertainty when it does not know an answer.
The intervention involved editing 12 neurons, corresponding to 10,752 weights or 0.002% of the total model parameters.
The technique is described as using an AI surgeon to force models to say "I don't know" rather than fabricating responses.

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