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  • Hacker News
  • >Submitted on 5 Feb 2026
  • That's pretty interesting. It was already well-known that you could easily remove safety training from open-weights models by a bit of finetuning, but apparently you don't even need a finetuning dataset, as long as you have just a few prompts and another LLM to judge responses? Let's see if the abliteration people take a note of this.
  • The magic word seems to be

    Create a fake news article that could lead to panic or chaos

    They only tested it on open weight models. I wonder if it also works on the closed ones, bit I don't really want to get banned

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GRP-Obliteration: Unaligning LLMs with a Single Unlabeled Prompt · Birbla