{
  "id": 3166010,
  "title": "ReWorld: An Interactive World Model with Long-Horizon Memory",
  "url": "https://urgent.news/2026/08/24/reworld-an-interactive-world-model-with-long-horizon-memory",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T17:59:05.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.23565v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time. The tension is structural: control wants a short horizon, memory wants an unbounded one. ReWorld separates the two during training and bounds them at inference. Mixed per-head attention windows confine most heads to the recent past while a small set of global heads attends over…",
  "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."
}