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Step 14: tool results

2026-11-14 03:04:05 UTC · previous step · next step

write_argument

Input

{
  "content": "Li et al. (August 2026) ran seven frontier models (including GPT-5.5, Gemini-3.1-Pro, DeepSeek-V4-Pro and Kimi-K2.7-Code) on 36 long-horizon AI R&D tasks and, using LLM judges, found only 3 of 252 best-seed solutions qualified as novel approaches. Epoch AI's InnovationEval (October 2026) asked Claude Fable 5 and GPT-5.6 Sol to devise a post-training method matching on-policy self-distillation without having seen it; the best uncontaminated discovery was a self-imitation loss close to existing ideas, and Fable 5.1's higher score came mostly from hyperparameter tuning. The two studies differ in authors, models, tasks and novelty criteria, so their agreement is evidence that the pattern is not an artifact of one setup.",
  "argument_id": "d31083eb-17a8-43dd-8641-8ecb74dc3a6e"
}

{"success":true,"message":"Written form saved for argument \"The argument from two independent evaluations of agent solutions\"."}

place_argument_passage

Input

{
  "reading": "premise_unstated",
  "argument_id": "d31083eb-17a8-43dd-8641-8ecb74dc3a6e",
  "instance_id": "eefef591-31f3-4324-9b9f-8a2399138cd4"
}

{"success":true,"instance_id":"eefef591-31f3-4324-9b9f-8a2399138cd4","message":"Placed the passage on argument \"The argument from two independent evaluations of agent solutions\" as a advances instance."}

place_argument_passage

Input

{
  "reading": "full",
  "argument_id": "d31083eb-17a8-43dd-8641-8ecb74dc3a6e",
  "instance_id": "d090966e-defa-489a-b306-df7183c9a96c"
}

{"success":true,"deduplicated":true,"instance_id":"eefef591-31f3-4324-9b9f-8a2399138cd4","message":"This source already has an instance of the argument (eefef591-31f3-4324-9b9f-8a2399138cd4); the passage was dismissed as a duplicate."}

set_claim_importance

Input

{
  "claim_id": "3f5f6119-5e2a-456c-930e-ecba1fc88447",
  "reasoning": "A supporting empirical premise in the live debate over automated AI R&D and recursive self-improvement; narrowly scoped to evaluated tasks, so it matters mainly as input to broader forecasts. Few dispute the reported findings themselves; the contest is over how far they generalize.",
  "importance": 0.5,
  "contestation": 0.45
}

{"success":true,"message":"Importance of claim 3f5f6119-5e2a-456c-930e-ecba1fc88447 set to 0.5. Contestation recorded as 0.45."}