{
  "id": 9243493,
  "title": "TimeInteract: Towards Real-Time Interactive Intelligence for Streaming Time Series",
  "url": "https://urgent.news/2026/09/22/timeinteract-towards-real-time-interactive-intelligence-for-streaming",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T13:29:03.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26389v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Real-world time series evolve continuously, with meaningful changes potentially emerging at any moment. However, existing time-series language models (TSLMs) remain inherently static. They either receive complete sequences for offline processing or alternate between streaming input and response generation, which prevents processing of new observations during interaction. We introduce a new…",
  "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."
}