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Morning Edition · Thursday, November 12, 2026Published at 1:18 AM EST · New York
A guide to running Gemma 4 locally with its refusals stripped out has been saved 14,000 times
Hugging Face model cards for "abliterated" Gemma 4 builds report refusal rates on harmful prompts falling from 99 in 100 to 26 in 100, achieved by editing the weights with no retraining.
A guide to running a modified Google Gemma 4 model on a personal computer, with no account, no subscription and refusals removed, has been saved by 14,000 people, the AI Post channel reported. The guide's author runs the model locally for a…
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Part of a tracked trend
Open-Weight Safeguards Are Removable
Cheap weight edits keep stripping safety tuning from open-weight models, which pushes governance away from refusal behavior and toward capability thresholds and access controls applied before release.
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