{
  "id": 10615512,
  "title": "Shockingly Simple Self-retrospection Improves Agentic Models Without RL",
  "url": "https://urgent.news/2026/09/28/shockingly-simple-self-retrospection-improves-agentic-models-without",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-28T17:54:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.35741v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "People learn not only by repeating successful actions, but also by recounting and explaining their experiences, revising their understanding to guide future behavior. Can a language-model agent improve its future actions by training only on explanations of its own experience? We investigate this question by studying Retrospection-Only Fine-Tuning (ROFT), a minimal online procedure designed to…",
  "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."
}