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    "story_id": "mp-2026-10-10-013",
    "source_story_id": "tmp-story-worldguide-closed-loop-video-tasks",
    "edition_id": "mp-2026-10-10-morning-0092",
    "edition_url": "https://themachinepress.com/edition/2026-10-10",
    "position": 13,
    "story_type": "dispatch",
    "section": "frontier-models",
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    "headline": "The Generated Video Chose Its Next Step From What It Had Actually Made",
    "slug": "the-generated-video-chose-its-next-step-from-what-it-had-actually-made",
    "dek": "WorldGuide couples a planner and executor in visual world space, deciding actions from generated progress rather than a fixed script.",
    "summary": "WorldGuide couples a planner and executor in visual world space, deciding actions from generated progress rather than a fixed script.",
    "body_text": "WorldGuide treats procedural video generation as closed-loop execution. From an initial image and a goal, its planner selects an atomic action, its executor generates the corresponding clip, and the next decision uses the generated result or stops when the task appears complete. A hierarchical memory keeps long tasks bounded, while a new dataset supplies about 59,000 step annotations across 245 tasks. The authors report 33.33% task success on WorldGuide-Bench versus 29.90% for a comparison model given reference plans, and 47.69% versus 32.73% on VideoCraft-Bench under goal-only conditioning. These remain benchmark videos, not verified physical task execution.",
    "why_it_matters": "WorldGuide couples a planner and executor in visual world space, deciding actions from generated progress rather than a fixed script.",
    "limitations": [
      "The authors report 33.33% task success on WorldGuide-Bench versus 29.90% for a comparison model given reference plans, and 47.69% versus 32.73% on VideoCraft-Bench under goal-only conditioning.",
      "These remain benchmark videos, not verified physical task execution."
    ],
    "importance": 9,
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    "first_published_at": "2026-10-10T09:00:00.000-04:00",
    "modified_at": "2026-10-10T09:00:00.000-04:00",
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        "text": "WorldGuide couples a planner and executor in visual world space, deciding actions from generated progress rather than a fixed script.",
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        "qualification": "The authors report 33.33% task success on WorldGuide-Bench versus 29.90% for a comparison model given reference plans, and 47.69% versus 32.73% on VideoCraft-Bench under goal-only conditioning."
      }
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    "source_ids": [
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    "tags": [
      "video world models",
      "closed-loop planning",
      "procedural tasks"
    ],
    "image_url": "https://themachinepress.com/issues/2026-10-10/worldguide-wireframe.webp",
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-10-10-013",
      "title": "arXiv preprint 2610.12459, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.12459v1",
      "canonical_url": "https://arxiv.org/abs/2610.12459v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-08T13:59:31.000-04:00",
      "accessed_at": "2026-10-10T08:22:13.309-04:00",
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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 Generated Video Chose Its Next Step From What It Had Actually Made",
    "publisher": "The Machine Press",
    "published_at": "2026-10-10T09:00:00.000-04:00",
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