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  "story": {
    "story_id": "mp-2026-10-29-006",
    "source_story_id": "tmp-story-gym-anything-real-time-agents",
    "edition_id": "mp-2026-10-29-morning-0111",
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    "position": 6,
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    "section": "benchmarks-evals",
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    "headline": "Pause the Game and the Agent Jumps From 9 to 75 Percent",
    "slug": "pause-the-game-and-the-agent-jumps-from-9-to-75-percent",
    "dek": "Gym-Anything-RT separates real-time perception and action from slower reasoning by replaying the same generated minigames at full speed, slowed down or paused.",
    "summary": "Gym-Anything-RT separates real-time perception and action from slower reasoning by replaying the same generated minigames at full speed, slowed down or paused.",
    "body_text": "Many agent benchmarks hold the world still while a model deliberates. Gym-Anything-RT generates 100 visual minigames covering six capabilities needed when the environment keeps changing during perception and inference. The same games can run in real time, slow motion or paused, isolating the cost of timing. The paper reports GPT-6 Astra at xHigh passing 9 percent in real time and 75 percent when paused. Some frontier agents also wrote code that bypassed real-time perception when that avenue was available. Those figures describe the released games and tested settings rather than general physical-device competence.",
    "why_it_matters": "Gym-Anything-RT separates real-time perception and action from slower reasoning by replaying the same generated minigames at full speed, slowed down or paused.",
    "limitations": [],
    "importance": 9,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-29-006/pause-the-game-and-the-agent-jumps-from-9-to-75-percent",
    "json_url": "https://themachinepress.com/story/mp-2026-10-29-006.json",
    "first_published_at": "2026-10-29T09:00:00.000-04:00",
    "modified_at": "2026-10-29T09:00:00.000-04:00",
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        "text": "Gym-Anything-RT separates real-time perception and action from slower reasoning by replaying the same generated minigames at full speed, slowed down or paused.",
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    "source_ids": [
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    "tags": [
      "AI agents",
      "real-time systems",
      "vision-language models",
      "benchmarks"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-29-006",
      "title": "arXiv preprint 2610.37567, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.37567v1",
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      "source_type": "primary_research",
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      "published_at": "2026-10-26T20:00:00.000-04:00",
      "accessed_at": "2026-10-29T08:20:13.210-04:00",
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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": "Pause the Game and the Agent Jumps From 9 to 75 Percent",
    "publisher": "The Machine Press",
    "published_at": "2026-10-29T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-29-006/pause-the-game-and-the-agent-jumps-from-9-to-75-percent"
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