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English(EN) Dark Horse Muka Robotics Charges WorldArena With Only 32 Zhenwu 810E GPUs: LJM World Model Achieves Global Second Place Defining the Breakthrough From Video Quality to Physical Logic

Muka Robotics的LJM模型以有限的GPU数量在WorldArena中获得第二名

作者 PulseAugur 编辑部 · [1 个来源] ·

Muka Robotics的LJM世界模型在全球WorldArena竞赛中获得了第二名，仅使用了32块振武810E GPU的适度配置。这一成就突显了一种新颖的双专家架构，该架构强调物理逻辑理解而非原始视频生成质量，为在有限资源下实现高性能设定了新标杆。 AI

影响 证明了用更少的资源可以实现先进的AI性能，这可能降低复杂AI开发的入门门槛。

排序理由 该集群报告了一个特定模型在竞赛中的表现，属于研究里程碑。 [lever_c_demoted from research: ic=1 ai=1.0]

在 Pandaily 阅读 →

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

Muka Robotics的LJM模型以有限的GPU数量在WorldArena中获得第二名

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该集群报告了一个特定模型在竞赛中的表现，属于研究里程碑。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    黑马Muka Robotics仅用32块振武810E GPU出战WorldArena：LJM大模型实现全球第二，定义视频质量到物理逻辑的突破

    Muka Robotics LJM Latent Joint-conditional Model achieves WorldArena global #2 at 89.17 Motion Quality with only 32 GPUs, establishing a dual-expert architecture that prioritizes physical understanding over video generation quality.

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