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·13 hr ago·Dev community · RSS

How bad do you think models like Qwen3.8-27B or GLM-5.3-Flash would be with H-Neurons disabled?

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A discussion explores the impact of disabling "H-Neurons" in models like Qwen3.8-27B or GLM-5.3-Flash, based on a paper proposing this method to reduce or eliminate hallucinations. The core interest lies in how such a modification would affect the models' ability to produce functional and high-quality code, specifically wondering about their performance on benchmarks like DeepSWE if these hallucination-contributing neurons were identified and deactivated.

TL;DR: this paper proposes a method to fix hallucination rates to very low levels or zero by disabling neurons which contribute to hallucination.

This discovery has been out for a while now, but it hasn't been that popular, since it kind of lobotomises parts of the LLM.

I honestly don't care too much about talking to AI, but instead care about it producing working and good code. I wonder what percentage models would get on e.g. DeepSWE if we found their H-Neurons and disabled them?

How bad do you think models like Qwen3.8-27B or GLM-5.3-Flash would be with H-Neurons disabled? · BuzzRadr