{
  "id": 16828126,
  "title": "When the Critic Falls Behind: Co-Evolving Rubrics and Harnesses for Continual Agent Self-Improvement",
  "url": "https://urgent.news/2026/10/27/when-the-critic-falls-behind-co-evolving-rubrics-and-harnesses-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-27T08:24:44.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.36826v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Autonomous agents increasingly depend on harnesses that govern interaction, memory, tools, and execution around large language models (LLMs). While recent work has begun to evolve these harnesses from execution experience, the supervision used to guide evolution often remains relatively static, making it difficult to track changing behavioral weaknesses across rounds and potentially limiting…",
  "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."
}