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English(EN) I literally built the Jev architecture one year back and completely open-sourced it with model, dataset and paper

研究人员声称Jev架构早于前沿实验室的“突破”

作者 PulseAugur 编辑部 · [2 个来源] ·

一位Reddit用户声称，在一年前就开发了Jev架构，该架构可以预测概率并使用JSON模式，但直到最近才被一家前沿实验室推广。该用户表示，他们于2025年3月在arXiv上开源了自己的模型、数据集和一篇论文，但并未获得多少关注。他们对一个类似的概念现在被一家大型实验室当作突破性进展而没有开源贡献表示沮丧，并强调了独立研究人员在开源AI社区面临的挑战。 AI

影响 凸显了与专有开发相比，开源AI研究面临的挑战和潜在的认可不足。

排序理由 用户评论，认为与前沿实验室的公告相比，开源贡献未获得应有的认可。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

研究人员声称Jev架构早于前沿实验室的“突破”

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用户评论，认为与前沿实验室的公告相比，开源贡献未获得应有的认可。
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报道来源 [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Nandakishor_ml ·

    我一年前就构建了Jev架构，并完全开源了模型、数据集和论文

    <!-- SC_OFF --><div class="md"><p>Everyone now talks about the architecture that's not auto regressive and does lightning fast probability prediction with a json schema. I worked on this literally one year back in March 2025, published an arxiv paper, pushed the model to huggingf…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/Nandakishor_ml ·

    我一年前就构建了Jev架构，并完全开源了模型、数据集和论文

    <!-- SC_OFF --><div class="md"><p>Everyone now talks about the architecture that's not auto regressive and does lightning fast probability prediction with a json schema. I worked on this literally one year back in March 2025, published an arxiv paper, pushed the model to huggingf…

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