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  "story": {
    "story_id": "mp-2026-08-30-003",
    "source_story_id": "tmp-story-agentfold-search",
    "edition_id": "mp-2026-08-30-morning-0052",
    "edition_url": "https://themachinepress.com/edition/2026-08-30",
    "position": 3,
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    "section": "research",
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    "headline": "Five Thousand GPU-Hours Searched the Folding Model",
    "slug": "five-thousand-gpu-hours-searched-the-folding-model",
    "dek": "AgentFold changed, ran and remembered executable protein-folding model variants inside a closed search loop.",
    "summary": "AgentFold changed, ran and remembered executable protein-folding model variants inside a closed search loop.",
    "body_text": "Starting from ESMFold, the system proposed and debugged code changes, evaluated variants and stored both successful and failed interventions. The authors report roughly 80 variants, 170 million language-model tokens and about 5,000 GPU-hours. Under their matched budget, the best lDDT improved 7.5 percent over independent Codex proposals and beat random search; the result is a costly benchmarked search, not a claim of a universally better folding model.",
    "why_it_matters": "AgentFold changed, ran and remembered executable protein-folding model variants inside a closed search loop.",
    "limitations": [
      "Under their matched budget, the best lDDT improved 7.5 percent over independent Codex proposals and beat random search; the result is a costly benchmarked search, not a claim of a universally better folding model."
    ],
    "importance": 8,
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    "json_url": "https://themachinepress.com/story/mp-2026-08-30-003.json",
    "first_published_at": "2026-08-30T09:00:00.000-04:00",
    "modified_at": "2026-08-30T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
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        "text": "AgentFold changed, ran and remembered executable protein-folding model variants inside a closed search loop.",
        "source_ids": [
          "source-2026-08-30-003"
        ],
        "qualification": "Under their matched budget, the best lDDT improved 7.5 percent over independent Codex proposals and beat random search; the result is a costly benchmarked search, not a claim of a universally better folding model."
      }
    ],
    "source_ids": [
      "source-2026-08-30-003"
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    "tags": [
      "protein folding",
      "scientific agents",
      "model search"
    ],
    "image_url": "https://themachinepress.com/issues/2026-08-30/agentfold-laboratory-file.webp",
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-08-30-003",
      "title": "arXiv preprint 2608.26747",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.26747",
      "canonical_url": "https://arxiv.org/abs/2608.26747",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-08-27T03:38:16.000-04:00",
      "accessed_at": "2026-08-30T08:23:14.000-04:00",
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  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "Five Thousand GPU-Hours Searched the Folding Model",
    "publisher": "The Machine Press",
    "published_at": "2026-08-30T09:00:00.000-04:00",
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