{
  "id": 204408,
  "title": "Capability-Gated Planning: Cost-to-Goal Discovery and the Limits of Myopic Experiment Selection",
  "url": "https://urgent.news/2026/08/05/capability-gated-planning-cost-to-goal-discovery-and-the-limits-of",
  "topic": "world",
  "section": "World",
  "published": "2026-08-05T17:25:17.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.05085v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Systems that automate scientific discovery must repeatedly decide which experiment to run, which hypothesis to test, which tool to build, and when to stop. Many systems make these decisions by maximizing a myopic score such as expected information gain per unit cost or a learned plausibility score. We identify a structural limitation of this approach. Some actions are constructive: they acquire…",
  "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."
}