{
  "id": 19078719,
  "title": "Exploring Weight-Space Programming: Capabilities, Generalization, and Limitations",
  "url": "https://urgent.news/2026/11/06/exploring-weight-space-programming-capabilities-generalization-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-06T12:22:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.09382v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Weight-Space Programming (WSP) enables reasoning agents to directly inspect and modify neural network parameters, offering an alternative to gradient-based model adaptation. However, its capabilities, cross-task generalization, and practical limitations remain insufficiently understood. We systematically investigate WSP through 16 editing trajectories across seven benchmarks and two model scales…",
  "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."
}