{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-18-014",
    "source_story_id": "tmp-story-steering-agent-goal-drift",
    "edition_id": "mp-2026-10-18-morning-0100",
    "edition_url": "https://themachinepress.com/edition/2026-10-18",
    "position": 14,
    "story_type": "dispatch",
    "section": "safety-security",
    "editorial_classification": "editorial",
    "headline": "A Supervisor Learns When Not to Interrupt the Agents",
    "slug": "a-supervisor-learns-when-not-to-interrupt-the-agents",
    "dek": "A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.",
    "summary": "A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.",
    "body_text": "Long tool-use and multi-agent runs can gradually move away from the original objective while continuing to spend resources. This steering agent watches execution and separates intervention into two decisions: a low-cost path determines whether drift warrants action, and a higher-cost path decides what corrective instruction to send. Joint reinforcement learning trains both. On information-seeking search tasks, the authors report better performance and efficiency for single- and multi-agent systems, plus transfer to unseen executors and out-of-domain work. The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration.",
    "why_it_matters": "A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.",
    "limitations": [
      "The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-18-014/a-supervisor-learns-when-not-to-interrupt-the-agents",
    "json_url": "https://themachinepress.com/story/mp-2026-10-18-014.json",
    "first_published_at": "2026-10-18T09:00:00.000-04:00",
    "modified_at": "2026-10-18T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-18-014-001",
        "text": "A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.",
        "source_ids": [
          "source-2026-10-18-014"
        ],
        "qualification": "The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration."
      }
    ],
    "source_ids": [
      "source-2026-10-18-014"
    ],
    "tags": [
      "agents",
      "goal drift",
      "orchestration"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-18-014",
      "title": "arXiv preprint 2610.22316, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.22316v1",
      "canonical_url": "https://arxiv.org/abs/2610.22316v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-15T13:51:17.000-04:00",
      "accessed_at": "2026-10-18T08:23:52.920-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-18-014-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "A Supervisor Learns When Not to Interrupt the Agents",
    "publisher": "The Machine Press",
    "published_at": "2026-10-18T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-18-014/a-supervisor-learns-when-not-to-interrupt-the-agents"
  }
}
