{
  "id": 19772775,
  "title": "Classical Energies Learn to Reason 1,000x Faster than Looped Models",
  "url": "https://urgent.news/2026/11/12/classical-energies-learn-to-reason-1-000x-faster-than-looped-models",
  "topic": "finance",
  "section": "Finance & Markets",
  "published": "2026-11-12T18:56:56.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.17309v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Looped models have emerged as a prominent paradigm for reasoning, with successes on simple reasoning puzzles such as Sudoku-Extreme and Maze-Unique. However, these models can be unstable, slow to train, and use many parameters and FLOPs to solve simple puzzles. Descent on an energy not only mitigates these issues but also offers advantages: built-in early stopping, compute that adapts to problem…",
  "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."
}