{
  "id": 12466,
  "url": "https://thenextweb.com/news/poolside-laguna-s-2-1-open-weight-coding-model",
  "title": "Poolside releases Laguna S 2.1, the open-weight coding model pitched as the West’s answer to DeepSeek and Qwen",
  "summary": "Poolside has released Laguna S 2.1, a 118-billion-parameter open-weight model built for agentic coding that the San Francisco startup says matches or exceeds models several times its size. The model uses a mixture-of-experts architecture with eight billion active parameters per token, is compact enough to run on a single Nvidia DGX Spark desktop system, and […] This story continues at The Next Web",
  "authors": "Ana Maria Constantin",
  "category": "news",
  "topics": "agents-autonomy",
  "orgs": "nvidia,deepseek",
  "regions": null,
  "published_at": "2026-07-21T19:49:20.000Z",
  "fetched_at": "2026-07-22T05:10:49.469Z",
  "source_slug": "x-the-next-web-ai",
  "source_name": "The Next Web AI",
  "source_homepage": "https://thenextweb.com/topic/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/12466",
  "original_url": "https://thenextweb.com/news/poolside-laguna-s-2-1-open-weight-coding-model",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}