Step 4: tool results

get_claim_instances

{
  "claim_id": "6be5b967-9784-4985-8413-928665429119"
}

{
  "claim_id": "6be5b967-9784-4985-8413-928665429119",
  "total": 1,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "03dfedab-84ab-45a8-b7f3-9ddb9a5e3cf6",
      "source_id": "68dfaad8-7ec0-419b-b8a1-091b9568277d",
      "verbatim_text": "The evidence we’ve laid out here suggests that we’re likely heading into this scenario.",
      "context": "Scenario: AI development becomes substantially automated, but humans continue to set research directions and judge results; labs see compounding efficiency gains.",
      "stance": "affirms",
      "confidence": 0.75,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "When AI builds itself",
      "source_type": "report",
      "source_url": "https://www.anthropic.com/institute/recursive-self-improvement",
      "source_published_date": null,
      "source_authors": [],
      "source_publisher": null,
      "source_doi": null,
      "source_interest": {
        "party": "Anthropic",
        "stake": "Anthropic develops and sells the Claude models the report describes, and the report is published by its own institute. It gains commercially and reputationally from its models being seen as highly capable, and its account of their limits shapes how regulators and the public judge the pace of AI development.",
        "claim_id": null,
        "recorded_at": "2026-11-13T21:36:33.847Z"
      },
      "recorded_by": "extractor",
      "display_rank": null,
      "reading": null,
      "draws_on": [],
      "story": {
        "standing": "untraced",
        "basis": "none",
        "depth": 0,
        "diverges": false,
        "downstream_total": 0
      }
    }
  ]
}

search_similar_claims

{
  "limit": 6,
  "query": "automation of AI research with humans setting direction"
}

{
  "query": "automation of AI research with humans setting direction",
  "results": [
    {
      "id": "6be5b967-9784-4985-8413-928665429119",
      "kind": "claim",
      "text": "AI development is moving toward substantial automation while humans continue setting research directions and judging results.",
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      "state": "active",
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    },
    {
      "id": "3699eb33-020b-43bd-8da6-469f19575f06",
      "kind": "claim",
      "text": "Partial automation of AI R&D tasks will substantially speed AI software progress before full automation.",
      "claim_type": "causal",
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      "similarity_score": 0.658225118616737,
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    },
    {
      "id": "e03e6ac0-7bf3-44df-bae8-e8822164f268",
      "kind": "claim",
      "text": "Automated AI researchers could substantially increase research progress per unit of compute through better experiment selection.",
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    },
    {
      "id": "a6037281-5051-4d1f-bd95-5546955a242d",
      "kind": "quantity",
      "text": "Date when a frontier AI company first has an AI matching top researchers' research taste and fully automating coding",
      "claim_type": "empirical_derived",
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    },
    {
      "id": "142793f4-48e0-427e-9662-866a34fa2dcb",
      "kind": "claim",
      "text": "Much of frontier AI progress comes from automatable experimentation whose pace depends on tools and resources.",
      "claim_type": "empirical_derived",
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    },
    {
      "id": "e6e8a4fa-eee4-4fc3-b564-ea04a6313546",
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      "text": "Progress toward automating AI research and development is likely to stall in the next few years.",
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}