Step 8: tool results

{
  "context": "In its 'Attribution to AI' section METR gives its subjective estimate: late-2025 acceleration likely influenced by non-AI factors (hiring, data, algorithmic discoveries, resolved bottlenecks were among those investigated; details redacted), while about 80% of the October 2026 acceleration is guessed to be due to AI. The executive summary says other causes 'likely played a large role in acceleration in late 2025.'",
  "speaker": "METR (Cunningham, Rush, Whitfill, Wijk)",
  "claim_id": "c175bbcd-10be-4d49-89a0-61fe742c0d29",
  "reasoning": "Read the report: the passage is verbatim in the Attribution section and directly asserts the claim; speaker and date added from the byline.",
  "confidence": 0.95,
  "instance_id": "f9948a60-8e81-4e29-b4cf-41e4e49219aa",
  "source_date": "2026-11-05"
}

{
  "note": "METR investigated hiring, data improvements, algorithmic discoveries and resolved bottlenecks as possible causes of the late-2025 acceleration, but Anthropic redacted the details of these factors and METR's cumulative attribution estimates. The statement rests on internal evidence METR saw and the public cannot; no other party has published an examination of it. Training-compute scaling was ruled out as a cause.",
  "support": "evidence_not_shown",
  "deployment": "Stated as part of METR's subjective attribution of Anthropic's measured AECI acceleration, to explain why AI's share was lower early in the period than in October 2026.",
  "instance_id": "f9948a60-8e81-4e29-b4cf-41e4e49219aa",
  "source_kind": "report",
  "source_read": true,
  "worth_reading": false
}