Step 12: tool results

{
  "note": "The failure modes come from log analysis of two six-day runs of Opus 4.8 in the OpenClaw scaffold, each graded by the original authors of an unpublished NeurIPS 2026 paper, plus one run of GPT-5.6 Sol in Codex. The evidence bears the failures in these runs well; it is thin for agents in general. The authors disclose that their core team doubts imminent recursive self-improvement, that log coding involved discretion, and that some coauthors read the same behaviour as reasoning failures rather than failures of judgment. Resource-awareness failures ran in opposite directions across scaffolds: underspending in the main runs, exhausting the budget early in the robustness run. Reviews, repositories and logs are released.",
  "support": "supports",
  "deployment": "The originating study states the five failure modes as the result of its log analysis of two shadow evaluations and a robustness run.",
  "instance_id": "94ad15ad-ffd3-4629-a964-00aac006266c",
  "source_kind": "preprint",
  "source_read": true,
  "worth_reading": true,
  "worth_reading_reason": "Section 5 and the released logs show how each failure mode was coded and how often it occurred, which settles how far \"recurring\" holds."
}

{
  "instance_id": "79602a35-7476-4af3-93fe-03de508c9b7d",
  "dismiss_reason": "The robustness check is part of the single line of evidence the claim rests on (the study's own runs), not a separate argument; it is weighed in the assessment directly."
}

{
  "kind": "related",
  "claim_id": "66eddda8-c9d1-4b53-8ed6-2a6055c68756",
  "reasoning": "Near-identical formulation from the same preprint, scoped to frontier agents; a merge case is before the Curator.",
  "other_claim_id": "7064aebc-8735-45b1-9ee7-523e919cb15a"
}