{
  "id": 18266640,
  "title": "Ripple-65B Preview: U.S. Open-Weight SOTA on Agentic Coding",
  "url": "https://urgent.news/2026/11/04/ripple-65b-preview-u-s-open-weight-sota-on-agentic-coding-18266640",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T18:53:29.000Z",
  "source": {
    "name": "Hacker News Best",
    "slug": "hacker-news-best",
    "url": "https://www.ricursive.com/ripple"
  },
  "original_language": "en",
  "account": "Ricursive Intelligence unveiled Ripple-65B Preview, a cutting-edge language model achieving U.S. open-weight state-of-the-art (SOTA) on agentic coding. This full-stack AI lab, specializing in self-improving systems through hardware, software, and model co-optimization, trained Ripple-65B Preview for a mere $32 million, one-tenth the estimated cost of the previous open-weight SOTA. The model was trained on 12 trillion tokens with a capacity for up to 1 million context length, delivering impressive results on agentic coding benchmarks. With an 80.52 score on TerminalBench 2.1, Ripple-65B Preview outperforms larger models such as Reflection Beam 501B, Meta Muse Spark Open 816B, Thinking Machines Inkling 975B, and NVIDIA Nemotron 3 Ultra 550B. Its dense architecture provides strong reasoning performance with low-latency token generation, enabling efficient execution on local devices like NVIDIA DGX Spark. Ripple-65B Preview is accessible on Hugging Face, Together AI, GMI Cloud, and OpenRouter, while Fireworks, its pretraining pipeline, goes live later.",
  "summary": "Article URL: https://www.ricursive.com/ripple Comments URL: https://news.ycombinator.com/item?id=50369925 Points: 272 # Comments: 99",
  "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."
}