{
  "id": 15702435,
  "title": "Agent World Model in the Wild: Computer-Use Agent Environment Synthesis",
  "url": "https://urgent.news/2026/10/19/agent-world-model-in-the-wild-computer-use-agent-environment-synthesis",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-19T17:55:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.26828v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such learning directly in real-world computer systems is challenging and can introduce substantial security risks. We therefore propose Agent World Model in the Wild (WildAWM), a scalable pipeline for synthesizing controllable environments and tasks for training general…",
  "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."
}