{
  "id": 5001705,
  "title": "LatentPress: Context Compression Beyond Text and Vision",
  "url": "https://urgent.news/2026/09/01/latentpress-context-compression-beyond-text-and-vision",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T16:38:15.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.01507v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and long documents into a third representation: continuous memory tokens that a frozen decoder reads directly through its input-embedding interface, with no text reconstruction at…",
  "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."
}