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English(EN) Ripple 65B Puts Open Coding Models to a More Practical Test

Ricursive Intelligence 发布 Ripple 65B 开源编码模型

作者 PulseAugur 编辑部 · [1 个来源] ·

Ricursive Intelligence 发布了 Ripple 65B Preview，这是一个开放权重编码模型，声称在 Terminal-Bench 2.1 和 SWE-Bench Pro v2.0 Hard 等基准测试中表现优异。此次发布意义重大，因为它侧重于实际应用，旨在使开发人员能够进行可靠的代码库更改。该模型允许广泛访问和修改，其宽松的 Apache 2.0 许可证是一个关键的差异化因素，这在来自中国（如 Moonshot 的 Kimi K3.1 Pro）的日益强大的开源模型竞争格局中至关重要。 AI

影响 为开源权重编码模型树立了新标杆，有望加速实际开发工具的采用。

排序理由 Frontier-lab 模型发布，附带系统卡和宽松许可证。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Ricursive Intelligence 发布 Ripple 65B 开源编码模型

本文如何被排名

Signal score
32 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab 模型发布，附带系统卡和宽松许可证。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
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.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Jaromir Tesar ·

    Ripple 65B 对开放编码模型进行更实际的测试

    <p><strong>The significance of Ripple 65B Preview is not simply that it claims a benchmark lead. Its real test is whether developers can turn that lead into reliable repository changes at an acceptable cost, and whether a permissive license can help the United States keep pace wi…

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