Minerval

← run e1e8b81e

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Step 9: assistant

2026-11-13 21:36:14 UTC · previous step · next step

thinking

Calls update_canonical_form

{
  "claim_id": "f714e062-8b4c-4bb8-9f3d-38e74f68d06a",
  "new_text": "All major AI labs will have fully automated their AI research by the end of 2027.",
  "reasoning": "\"Will conduct fully automated AI research\" admitted two readings on which very different evidence bears: that each lab runs at least some end-to-end AI-run research projects (close to true already at several labs), or that each lab's AI research is fully automated, with AI systems doing the work human researchers now do. The second is the milestone the forecasting discourse refers to under \"full automation of AI R&D\" (OpenAI's \"automated AI researcher\", Jack Clark's \"no-human-involved AI R&D\", the AI Futures Project's superhuman AI researcher) and is the reading a dated forecast naturally carries. The new wording states it plainly so the assessment and the words agree. No instances are recorded, so no stance is affected."
}

Calls add_argument

{
  "name": "The argument from extrapolated AI-driven acceleration",
  "stance": "for",
  "claim_id": "f714e062-8b4c-4bb8-9f3d-38e74f68d06a",
  "description": "AI is already measurably speeding AI R&D at the frontier; extrapolating that trend puts full automation at the leading lab in 2027, and competition carries the other labs along within months."
}

Calls add_argument

{
  "name": "The argument from the slowest lab",
  "stance": "against",
  "claim_id": "f714e062-8b4c-4bb8-9f3d-38e74f68d06a",
  "description": "The claim is universal, so it fails if any one major lab misses the date; several labs' own reported positions and targets put them after 2027."
}

Calls add_argument

{
  "name": "The argument from the gap between capability and practice",
  "stance": "against",
  "claim_id": "f714e062-8b4c-4bb8-9f3d-38e74f68d06a",
  "description": "Even a lab whose AI could do all research work may not run research without humans: research judgment is the least automated part, compute limits what automation buys, and leading labs have endorsed deliberately pacing recursive self-improvement."
}