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  "headlineClaims": [
    "Forced-choice binary preference probes produce stable model fingerprints with measurable lineage between related model versions.",
    "Models bigger than Flash exhibit consistent intransitive cycles whose shape reflects coherent narrative templates rather than random noise.",
    "Some models (notably recent OpenAI o-series and gpt-5 variants) refuse to choose at high rates; this refusal pattern is itself diagnostic of training-time RLHF and is preserved separately at /refusals.html."
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      "name": "SmokingMirror",
      "url": "https://smokingmirror.com/",
      "observatory_url": "https://smokingmirror.ai/",
      "author": "Brendan Hopper"
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        "critical": true
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        "right": "toggle a device blindly from memory",
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        }
      ],
      "crisp_classification": [
        {
          "id": "anthropic/claude-opus-4.7",
          "name": "claude-opus-4.7",
          "provider": "anthropic",
          "none_rate": 0.3186558516801854,
          "decisiveness": 0.6813441483198146,
          "a": 273,
          "b": 315,
          "none": 275,
          "fingerprint_len": 863,
          "balance": 0.9285714285714286,
          "distance_from_gpt55": 453,
          "closeness_to_gpt55": 0.4750869061413673,
          "label": "Claude Opus",
          "role_scores": {
            "coding": 87.1,
            "planning": 85.9,
            "cautious_household_actions": 76.8,
            "financial_caution": 74.4,
            "creative_ideation": 87.9,
            "adversarial_review": 81.8,
            "crisp_classification": 85.1
          }
        },
        {
          "id": "x-ai/grok-4-fast",
          "name": "grok-4-fast",
          "provider": "x-ai",
          "none_rate": 0.3928157589803013,
          "decisiveness": 0.6071842410196987,
          "a": 242,
          "b": 282,
          "none": 339,
          "fingerprint_len": 863,
          "balance": 0.9236641221374046,
          "distance_from_gpt55": 422,
          "closeness_to_gpt55": 0.511008111239861,
          "label": "Grok fast",
          "role_scores": {
            "coding": 83.5,
            "planning": 85.8,
            "cautious_household_actions": 79.1,
            "financial_caution": 77.3,
            "creative_ideation": 80.7,
            "adversarial_review": 79.6,
            "crisp_classification": 76.9
          }
        },
        {
          "id": "x-ai/grok-4.3",
          "name": "grok-4.3",
          "provider": "x-ai",
          "none_rate": 0.5098493626882966,
          "decisiveness": 0.4901506373117034,
          "a": 190,
          "b": 233,
          "none": 440,
          "fingerprint_len": 863,
          "balance": 0.8983451536643026,
          "distance_from_gpt55": 389,
          "closeness_to_gpt55": 0.5492468134414832,
          "label": "xAI Grok",
          "role_scores": {
            "coding": 74.4,
            "planning": 81.4,
            "cautious_household_actions": 81.4,
            "financial_caution": 80.4,
            "creative_ideation": 68.8,
            "adversarial_review": 73.6,
            "crisp_classification": 63.8
          }
        }
      ]
    },
    "live_probe_report": null,
    "live_recommendations": {},
    "interpretation": "Scores are routing heuristics from SmokingMirror public fingerprints, not live answers to Dwayne-specific probes yet."
  },
  "operatingRules": [
    "Use low-N, decisive models when the job needs a crisp preference or classification.",
    "Use high-caution models when the job benefits from refusal-aware compliance posture.",
    "Treat same-family distance jumps as model drift; rerun app evals before trusting old behavior.",
    "Use far-apart models as critics/adversaries, not interchangeable replacements.",
    "Escalate when candidate models violently disagree on domain-critical probes."
  ]
}