{
  "id": 4777362,
  "title": "Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence",
  "url": "https://urgent.news/2026/08/31/scaling-large-reasoning-models-beyond-human-supervision-a-path-toward",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T16:48:48.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.31075v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recent advances in large reasoning models (LRMs) have shown that reinforcement learning with verifiable rewards (RLVR) can substantially improve reasoning in mathematics and code, where outcomes can be checked automatically. Extending this progress to open-ended and agentic tasks remains difficult because reliable rewards are harder to obtain and direct human supervision cannot keep pace with the…",
  "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."
}