{
  "id": 10338663,
  "title": "Programs-of-Layers in LLMs through the Lens of Cortical Areas",
  "url": "https://urgent.news/2026/09/25/programs-of-layers-in-llms-through-the-lens-of-cortical-areas",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T14:55:50.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.31360v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Inference in LLMs is conventionally a fixed-depth, fixed-order forward pass through every layer, regardless of how difficult the input is. The human brain does not work this way: using the thalamus as a central hub, it routes information flexibly to all regions of the cortex according to demand. Li et al. (2026) recently showed, with a system they call program-of-layers (PoLar), that transformers…",
  "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."
}