Step 9: assistant

thinking

Calls add_relationship_edge

{
  "child_id": "d479cf4d-52b6-4260-a3dc-7a2e5a812d42",
  "relation": "supports",
  "parent_id": "20f15464-de92-44a7-8792-b4f159bd97c8",
  "reasoning": "If humans still supply most research judgment while AI already writes most code and does multiple agent-workdays per human workday, the human-held residual is weighted toward judgment; it does not alone establish that most residual tasks are judgment rather than engineering."
}

Calls add_related_claim

{
  "kind": "related",
  "claim_id": "20f15464-de92-44a7-8792-b4f159bd97c8",
  "reasoning": "Both describe the same division of labour: AI automating execution while humans keep directions and evaluation.",
  "other_claim_id": "6be5b967-9784-4985-8413-928665429119"
}

Calls record_claim_instance

{
  "url": "https://forecastingresearch.substack.com/p/how-close-is-recursive-self-improvement",
  "stance": "affirms",
  "context": "Summary of FRI's report on recursive self-improvement; the passage takes the judgment-heavy composition of residual tasks as given while posing whether automation trends continue. It says \"increasingly\", a weaker statement than \"most\".",
  "speaker": "Simas Kučinskas and Josh Rosenberg (Forecasting Research Institute)",
  "claim_id": "20f15464-de92-44a7-8792-b4f159bd97c8",
  "confidence": 0.6,
  "publication": "Forecasting Research Institute (Substack)",
  "source_date": "2026-11-10",
  "source_kind": "blog_post",
  "verbatim_text": "A key uncertainty is whether these trends continue, as the remaining non-automated tasks increasingly require research judgment."
}