2026-10-11 17:12 UTC

Mark Russinovich claims the Fools Gold defensive-deception approach can protect open-weight models against safety-removal attacks, potentially adding a new security control for self-hosted model deployments.

state: expiredheat: lowuncertainty: highconvergesscott: mediumopen-model-security model-safety adversarial-robustnessMark Russinovich

What is this?

Mark Russinovich of Microsoft Azure has published “Fool’s Gold,” a proposed defensive-deception technique for open-weight language models. The paper argues that safety alignment can be removed from model weights in minutes and that existing release-time defenses cannot durably prevent this; its “decoy hardening” approach instead lets the removal attack appear to succeed while making the resulting model ineffective or worthless. The supplied snippets establish the proposal and its claimed mechanism, but provide no independent evaluation of its effectiveness or deployment readiness.

Why it matters to Scott

Fool’s Gold independently advances Scott’s defense-in-depth and “can’t beats shouldn’t” position by attempting to make weight-level safety removal mechanically self-defeating, while adding a model-layer control beneath his preferred runtime containment. It could extend security for his self-hosted deployments, but the supplied evidence offers no independent validation, and the radar already tracks the abliteration threat rather than this specific countermeasure.
ip:framework.architecture-not-vibesip:concept.defense-in-depthip:concept.architectural-containmentdev:project.silo-osdev:project.gamepcradar:concept.model-securityradar:concept.open-modelsradar:gemma4-abliteration-evaluationradar:qwen38-abliteration-safety-tradeoff
queries asked of Scott's wikis
  • open-weight model safety and control limits
  • self-hosted model security controls
  • defensive deception and decoy hardening
  • weight-level attacks and abliteration
  • model sovereignty versus enforceable safety
  • adversarial robustness for local inference

Measured heat

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How the heat travelled

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Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hnDefensive Deception Against Safety-Removal Attacks on Open-Weight Modelsgmays10
🟧 echo.blog ⭐The artifact presents defensive deception as a countermeasure against attacks intended to remove safety protections from open-weight models.Mark Russinovich——

Interpretation history

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