{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-08-016",
    "source_story_id": "tmp-sidebar-roboquest-premature-commitment",
    "edition_id": "mp-2026-10-08-morning-0090",
    "edition_url": "https://themachinepress.com/edition/2026-10-08",
    "position": 18,
    "story_type": "ticker",
    "section": "benchmarks-evals",
    "editorial_classification": "editorial",
    "headline": "The Best Robot Explored Too Little",
    "slug": "the-best-robot-explored-too-little",
    "dek": "RoboQuest's strongest multimodal agent completed only 23% of tasks requiring search, inspection or interactive testing.",
    "summary": "RoboQuest's strongest multimodal agent completed only 23% of tasks requiring search, inspection or interactive testing.",
    "body_text": "The benchmark separates hidden-information discovery from basic execution. Agents could often perform the component actions when the missing fact was supplied, yet commonly committed before gathering required evidence and rarely repaired disturbances caused during exploration. A policy fine-tuned on full episodes almost never succeeded.",
    "why_it_matters": "RoboQuest's strongest multimodal agent completed only 23% of tasks requiring search, inspection or interactive testing.",
    "limitations": [],
    "importance": 6,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-08-016/the-best-robot-explored-too-little",
    "json_url": "https://themachinepress.com/story/mp-2026-10-08-016.json",
    "first_published_at": "2026-10-08T09:00:00.000-04:00",
    "modified_at": "2026-10-08T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-08-016-001",
        "text": "RoboQuest's strongest multimodal agent completed only 23% of tasks requiring search, inspection or interactive testing.",
        "source_ids": [
          "source-2026-10-08-018"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-10-08-018"
    ],
    "tags": [
      "embodied exploration",
      "robot benchmarks",
      "uncertainty"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-08-018",
      "title": "arXiv preprint 2610.10388",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.10388",
      "canonical_url": "https://arxiv.org/abs/2610.10388",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-07T12:46:45.000-04:00",
      "accessed_at": "2026-10-08T08:26:48.909-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-08-016-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "The Best Robot Explored Too Little",
    "publisher": "The Machine Press",
    "published_at": "2026-10-08T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-08-016/the-best-robot-explored-too-little"
  }
}