{
  "id": 7446888,
  "title": "Divide, Consult, Conquer: Capability Laundering Through Aligned LLMs",
  "url": "https://urgent.news/2026/09/14/divide-consult-conquer-capability-laundering-through-aligned-llms",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-14T11:10:57.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.15383v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Language model safety is typically evaluated one interaction at a time. We show that a weaker, unaligned model can split a harmful task into benign-looking subproblems, consult a stronger aligned model independently on each, and combine the answers locally. We call this attack capability laundering. Unlike a jailbreak, no single response is a harmful task. We measure consultation-aided uplift…",
  "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."
}