{
  "id": 16554913,
  "title": "HarnessMM: Recursive Self-Improvement for Harness Token Efficiency",
  "url": "https://urgent.news/2026/10/23/harnessmm-recursive-self-improvement-for-harness-token-efficiency",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-23T15:47:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.32813v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agent harnesses repeatedly invoke reasoning after tool feedback, even when an earlier call has already fixed the next action. We introduce HarnessMM (Harness Minus Minus), a method for improving harness token efficiency through guarded decision reuse and recursive self-improvement (RSI). RSI iteratively refines companion harness configurations from training feedback, with validation selecting the…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}