{
  "id": 3875511,
  "title": "LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics",
  "url": "https://urgent.news/2026/08/27/levjepa-efficient-scalable-video-pretraining-without-the-heuristics",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T17:26:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.27395v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Video carries the temporal structure of the physical world, yet learning representations from it has remained computationally expensive: prevailing self-supervised methods either prevent representation collapse through architectural asymmetries, coupling an exponential-moving-average target encoder, a stop-gradient, and a capacity-limited predictor, or circumvent it by reconstructing masked…",
  "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."
}