{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-12-026",
    "source_story_id": "tmp-story-smolwam-edge-world-action-model",
    "edition_id": "mp-2026-10-12-morning-0094",
    "edition_url": "https://themachinepress.com/edition/2026-10-12",
    "position": 15,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "The Robot’s World Model Fit a Smaller Compute Budget",
    "slug": "the-robot-s-world-model-fit-a-smaller-compute-budget",
    "dek": "SmolWAM compresses a pretrained policy’s inference path while retaining a future-scene head.",
    "summary": "SmolWAM compresses a pretrained policy’s inference path while retaining a future-scene head.",
    "body_text": "SmolWAM keeps a pretrained Cosmos Policy trunk but rebuilds the interface around single-frame visual latents, cached text, twelve transformer blocks and one rectified-flow step. The authors report 95.5% success across 400 LIBERO episodes, with 57-millisecond inference per sixteen-action chunk and 2.4 GiB of GPU memory. In their comparison it was eleven times faster than its teacher, with fewer operations and less memory, while still predicting scene motion. These are manipulation-benchmark results; the paper does not establish the same performance on every edge device or real-world task.",
    "why_it_matters": "SmolWAM compresses a pretrained policy’s inference path while retaining a future-scene head.",
    "limitations": [
      "These are manipulation-benchmark results; the paper does not establish the same performance on every edge device or real-world task."
    ],
    "importance": 7,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-026/the-robot-s-world-model-fit-a-smaller-compute-budget",
    "json_url": "https://themachinepress.com/story/mp-2026-10-12-026.json",
    "first_published_at": "2026-10-12T09:00:00.000-04:00",
    "modified_at": "2026-10-12T09:48:10.481-04:00",
    "content_status": "updated",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-12-026-001",
        "text": "SmolWAM compresses a pretrained policy’s inference path while retaining a future-scene head.",
        "source_ids": [
          "source-2026-10-12-015"
        ],
        "qualification": "These are manipulation-benchmark results; the paper does not establish the same performance on every edge device or real-world task."
      }
    ],
    "source_ids": [
      "source-2026-10-12-015"
    ],
    "tags": [
      "world-action-models",
      "edge-compute",
      "robot-learning",
      "preprint"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-10-12-001",
        "revision": 2,
        "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
        "published_at": "2026-10-12T09:48:10.481-04:00",
        "affected_story_ids": [],
        "affected_claim_ids": []
      }
    ]
  },
  "sources": [
    {
      "source_id": "source-2026-10-12-015",
      "title": "arXiv preprint 2610.13740, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.13740v1",
      "canonical_url": "https://arxiv.org/abs/2610.13740v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-09T11:34:33.000-04:00",
      "accessed_at": "2026-10-12T09:32:36.784-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-12-026-001"
      ]
    }
  ],
  "corrections": [
    {
      "correction_id": "correction-2026-10-12-001",
      "revision": 2,
      "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
      "published_at": "2026-10-12T09:48:10.481-04:00",
      "affected_story_ids": [],
      "affected_claim_ids": []
    }
  ],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "The Robot’s World Model Fit a Smaller Compute Budget",
    "publisher": "The Machine Press",
    "published_at": "2026-10-12T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-026/the-robot-s-world-model-fit-a-smaller-compute-budget"
  }
}
