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Ricursive Intelligence releases Ripple-65B Preview LLM for coding tasks

Ricursive Intelligence has launched its inaugural large language model, Ripple-65B Preview. This 65 billion parameter model demonstrates state-of-the-art performance among U.S. open-weight models in agentic coding tasks, outperforming significantly larger models. Trained on 12 trillion tokens and supporting a 1 million token context length, Ripple-65B Preview achieved high scores on benchmarks like TerminalBench 2.1 and SWE-Bench Pro v2.0-Hard. AI

IMPACT Sets a new benchmark for open-weight models in coding tasks, potentially influencing future development in agentic AI.

RANK_REASON First LLM release from a new lab (Ricursive Intelligence) with performance claims. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/singularity →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ricursive Intelligence releases Ripple-65B Preview LLM for coding tasks

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14 / 100
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Newsworthiness bucket
Significant
First LLM release from a new lab (Ricursive Intelligence) with performance claims. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/singularity TIER_2 English(EN) · /u/xyzrt ·

    Ricursive Intelligence released their first LLM: Ripple-65B Preview, a 65B dense model.

    <!-- SC_OFF --><div class="md"><p>Ripple sets a new state-of-the-art for U.S. open-weight models in agentic coding tasks, surpassing significantly larger models including Muse Spark Open-816B, Beam-501B, Inkling-975B, and Nemotron 3 Ultra-550B.</p> <p>Ripple-65B Preview was train…