{
  "id": 10615515,
  "title": "Reinforcing Agentic Creativity in Scientific Ideation with Night Science",
  "url": "https://urgent.news/2026/09/28/reinforcing-agentic-creativity-in-scientific-ideation-with-night",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-28T17:43:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.35706v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models (LLMs) excel at structured, verifiable tasks, but their low-entropy bias can produce homogeneous and predictable outputs, limiting their utility for open-ended scientific ideation. Effective discovery, however, spans a broader creative spectrum: from structured day science to loosely structured, serendipitous night science that reaches ideas beyond those typically…",
  "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."
}