{
  "id": 11006657,
  "title": "Evo 2 as a classification machine: evidence from in-context learning and mechanistic interpretability",
  "url": "https://urgent.news/2026/09/30/evo-2-as-a-classification-machine-evidence-from-in-context-learning",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.30.755330v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In-context learning (iCL) is an emergent capability of Large Language Models (LLMs), allowing them to perform new tasks at inference time using prompt-injected examples. While extensively studied in LLMs, the boundaries of its capabilities and underlying mechanisms remain poorly characterised in genomic Language Models (gLMs). Here, we map the operating regime of Evo 2, a nucleotide-level…",
  "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."
}