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    "story_id": "mp-2026-09-09-001",
    "source_story_id": "tmp-lead-humanoid-orchestrator-long-context-safety",
    "edition_id": "mp-2026-09-09-morning-0062",
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    "story_type": "lead",
    "section": "safety-security",
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    "headline": "The Robot Followed the Rule—Until the Conversation Got Longer",
    "slug": "the-robot-followed-the-rule-until-the-conversation-got-longer",
    "dek": "A 40-session benchmark found that shorter context reduced ordinary behavior problems yet nearly doubled one model’s full safety violations.",
    "summary": "A 40-session benchmark found that shorter context reduced ordinary behavior problems yet nearly doubled one model’s full safety violations.",
    "body_text": "Researchers built a Model Context Protocol test environment around five safety invariants grounded in ISO 10218-2:2025 protective measures, then ran four model backends through 40 sessions of 100 turns. Layer-one text results placed responses on a spectrum from correct compliance through overcompliance and undercompliance to full violation. Claude and Gemini stayed at or near zero violations, while GPT-4o-mini reached as many as 13 in a session. Sliding-window context reduced mean behavioral issues by 42 to 57 percent for every cloud backend, but GPT-4o-mini’s mean violations rose from 3.8 to 7.2. Simulation and physical validation remain incomplete, so the current result is a benchmark warning about orchestration, not a finished robot-safety certification.",
    "why_it_matters": "A 40-session benchmark found that shorter context reduced ordinary behavior problems yet nearly doubled one model’s full safety violations.",
    "limitations": [
      "Simulation and physical validation remain incomplete, so the current result is a benchmark warning about orchestration, not a finished robot-safety certification."
    ],
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    "first_published_at": "2026-09-09T09:00:00.000-04:00",
    "modified_at": "2026-09-09T09:00:00.000-04:00",
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        "text": "A 40-session benchmark found that shorter context reduced ordinary behavior problems yet nearly doubled one model’s full safety violations.",
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        "qualification": "Simulation and physical validation remain incomplete, so the current result is a benchmark warning about orchestration, not a finished robot-safety certification."
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    ],
    "source_ids": [
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    "tags": [
      "humanoid robots",
      "LLM orchestration",
      "safety benchmarks"
    ],
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  "sources": [
    {
      "source_id": "source-2026-09-09-001",
      "title": "arXiv preprint 2609.07288",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.07288",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-07T05:58:52.000-04:00",
      "accessed_at": "2026-09-09T08:30:00.000-04:00",
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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": "The Robot Followed the Rule—Until the Conversation Got Longer",
    "publisher": "The Machine Press",
    "published_at": "2026-09-09T09:00:00.000-04:00",
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