{
  "id": 6702082,
  "title": "Artificial Id: Drive and Persistent Alignment in Agentic AI",
  "url": "https://urgent.news/2026/09/10/artificial-id-drive-and-persistent-alignment-in-agentic-ai",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T17:56:41.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.11911v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control problem that current harnesses largely solve by hand: objectives, retries, verification, stopping rules and other behavioral transitions are specified externally. We propose an artificial id, an adaptive internal drive…",
  "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."
}