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    "headline": "One Untuned Prompt Designed the Algorithm",
    "slug": "one-untuned-prompt-designed-the-algorithm",
    "dek": "A frontier model produced fixed algorithms for inventory, queueing and assortment problems before seeing the evaluation instances.",
    "summary": "A frontier model produced fixed algorithms for inventory, queueing and assortment problems before seeing the evaluation instances.",
    "body_text": "Given a problem-class description, parameter ranges and a bounded Python sandbox, the strongest tested model matched or exceeded the best existing method on almost all evaluated instances. The paper argues that frontier models should now be treated as empirical baselines for well-specified operations-research design, while its narrow problem set does not establish general optimality.",
    "why_it_matters": "A frontier model produced fixed algorithms for inventory, queueing and assortment problems before seeing the evaluation instances.",
    "limitations": [
      "The paper argues that frontier models should now be treated as empirical baselines for well-specified operations-research design, while its narrow problem set does not establish general optimality."
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    "first_published_at": "2026-08-28T09:00:00.000-04:00",
    "modified_at": "2026-08-28T09:00:00.000-04:00",
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    "tags": [
      "operations research",
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      "LLMs"
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    {
      "source_id": "source-2026-08-28-009",
      "title": "arXiv preprint 2608.27296",
      "publisher": "arXiv",
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      "published_at": "2026-08-27T12:01:11.000-04:00",
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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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    "title": "One Untuned Prompt Designed the Algorithm",
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    "published_at": "2026-08-28T09:00:00.000-04:00",
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