{
  "id": 14857886,
  "title": "Knowledge That Is Linear Before Fine-Tuning Generalizes After It",
  "url": "https://urgent.news/2026/10/15/knowledge-that-is-linear-before-fine-tuning-generalizes-after-it",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-15T17:47:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.22300v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Not all facts a language model can recall support further learning equally well. We distinguish active facts, which support generalization beyond their own recall, from inert facts, which can be recalled but do not support such generalization in a given task. We study this distinction by constructing new relations from existing ones. Take the relation that maps a place to its continent (Paris ->…",
  "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."
}