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Hacker News TrendingUpdated Nov 5 05:38

Ricursive Intelligence Releases Ripple-65B Preview Open-Weight Model

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Ricursive Intelligence has released Ripple-65B Preview, a general-purpose open-weight model that scores 80.52 on TerminalBench 2.1, which it claims is SOTA among US open-weight models, surpassing Reflection Beam 501B's 80.1 and Meta Muse Spark Open 816B's 76.4. The model was pretrained on 12 trillion tokens, supports a context length of up to 1M, uses a dense Transformer architecture rather than MoE, and had a total R&D cost of $32 million. The model is now available on Hugging Face, Together AI, GMI Cloud, and OpenRouter, with Fireworks launching later the same day.

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The original text provides training costs, architectural trade-offs, and the RL recipe, allowing readers to assess the feasibility of small-parameter dense models for agentic coding.

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