{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-09-04-002",
    "source_story_id": "tmp-feature-compile-by-training",
    "edition_id": "mp-2026-09-04-morning-0057",
    "edition_url": "https://themachinepress.com/edition/2026-09-04",
    "position": 2,
    "story_type": "secondary",
    "section": "developer-tools",
    "editorial_classification": "editorial",
    "headline": "The Prompt Became a Small Program You Could Keep",
    "slug": "the-prompt-became-a-small-program-you-could-keep",
    "dek": "A teacher generates examples once, trains an adapter in about a minute, and leaves behind a reusable local neural function.",
    "summary": "A teacher generates examples once, trains an adapter in about a minute, and leaves behind a reusable local neural function.",
    "body_text": "Compile by training treats a natural-language specification as build input rather than a request to send repeatedly to a remote model. Teacher models create task-specific examples, a compact interpreter learns a small adapter, and the resulting function can be stored, versioned and composed without the teachers at runtime. On the difficult FuzzyBench-Hard subset where the compared fast Program-as-Weights compiler produced no exact matches, the authors report 83.6% semantic accuracy. The tradeoff is a roughly one-minute compile instead of seconds; demonstrations include a multi-site helper, a language-controlled 3D avatar and an English-Claudish translator. The figures and deployment examples are author-reported preprint results.",
    "why_it_matters": "A teacher generates examples once, trains an adapter in about a minute, and leaves behind a reusable local neural function.",
    "limitations": [],
    "importance": 9,
    "canonical_url": "https://themachinepress.com/story/mp-2026-09-04-002/the-prompt-became-a-small-program-you-could-keep",
    "json_url": "https://themachinepress.com/story/mp-2026-09-04-002.json",
    "first_published_at": "2026-09-04T09:00:00.000-04:00",
    "modified_at": "2026-09-04T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-09-04-002-001",
        "text": "A teacher generates examples once, trains an adapter in about a minute, and leaves behind a reusable local neural function.",
        "source_ids": [
          "source-2026-09-04-002"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-09-04-002"
    ],
    "tags": [
      "local models",
      "natural-language programming",
      "adapters"
    ],
    "image_url": "https://themachinepress.com/issues/2026-09-04/feature-compile-by-training.png",
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-04-002",
      "title": "arXiv preprint 2609.04199",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.04199",
      "canonical_url": "https://arxiv.org/abs/2609.04199",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-03T13:59:49.000-04:00",
      "accessed_at": "2026-09-04T08:24:03.294-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-09-04-002-001"
      ]
    }
  ],
  "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 Prompt Became a Small Program You Could Keep",
    "publisher": "The Machine Press",
    "published_at": "2026-09-04T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-09-04-002/the-prompt-became-a-small-program-you-could-keep"
  }
}