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    "story_id": "mp-2026-08-25-006",
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    "section": "safety-security",
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    "headline": "Reasoning Training Moved Along the Safety Direction",
    "slug": "reasoning-training-moved-along-the-safety-direction",
    "dek": "A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.",
    "summary": "A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.",
    "body_text": "The authors stress that reasoning-induced misalignment does not appear across every architecture, scale or dataset. On Qwen2.5 3B and 7B experiments, a learned safety-direction penalty restored measured safety while preserving benchmark reasoning performance, with diagnostics guiding which layers to include.",
    "why_it_matters": "A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.",
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      "The authors stress that reasoning-induced misalignment does not appear across every architecture, scale or dataset."
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    "tags": [
      "reasoning models",
      "safety",
      "representation geometry"
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    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-08-25-006",
      "title": "arXiv preprint 2608.23497",
      "publisher": "arXiv",
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      "published_at": "2026-08-24T12:57:28.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Reasoning Training Moved Along the Safety Direction",
    "publisher": "The Machine Press",
    "published_at": "2026-08-25T09:00:00.000-04:00",
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