上天天基金APP搜索777注册即可领500元券包，优选基金10元起投！限量发放！先到先得！ 当地时间1月5日，英伟达创始人兼CEO黄仁勋在拉斯维加斯CES 2026展会现场发表主题演讲，分 享了下一代加速计算与人工智能将如何变革每一个行业，并介绍了英伟达在芯片、人工智能模型、 开源开放等领域的最新进展。 "基于AI训练和推理的计算需求正在激增。"黄仁勋表示，Rubin已进入全面量产阶段，预计将在 2026年下半年上市，相比上一代的Blackwell，Rubin可以将Token成本降低至多10倍。 此外，黄仁勋还称："物理AI迎来ChatGPT时刻。"相比以往，今年的英伟达更注重解决"AI如何走 进物理世界"的问题，在自动驾驶、机器人等领域，推出了一系列开源模型。 Rubin架构已进入全面量产阶段 演讲现场，英伟达完整披露了下一代计算架构——NVIDIA Rubin平台的技术细节。 "Rubin的到来恰逢其时，因为训练和推理的AI计算需求正在激增。"黄仁勋表示，英伟达以每年一 代AI超级计算机的节奏持续前进，而Rubin通过六款全新芯片的极致协同设计，向AI的下一个前沿 迈出了关键一步。 这六款芯片包括：NVI ...

专题：未竟之约：张小珺访谈录 【朱啸虎看好中国的开源AI生态】在《未竟之约》栏目中，谈及中美AI差距，朱啸虎称：我觉得还是 有点差距，但差不多，还是稳定在三到六个月左右的时间，至少不再扩大，我觉得未来几年是有机会能 够缩小的，只要差距在缩小，中国的开源生态肯定会领先的，所以我特别看好三到五年以后中国的开源 AI生态。 责任编辑：李思阳 专题：未竟之约：张小珺访谈录 【朱啸虎看好中国的开源AI生态】在《未竟之约》栏目中，谈及中美AI差距，朱啸虎称：我觉得还是 有点差距，但差不多，还是稳定在三到六个月左右的时间，至少不再扩大，我觉得未来几年是有机会能 够缩小的，只要差距在缩小，中国的开源生态肯定会领先的，所以我特别看好三到五年以后中国的开源 AI生态。 责任编辑：李思阳 ...

Core Viewpoint - The release of the open-source model Kimi-Dev-72B by Moonlight Dark Side has set a new record in software engineering task benchmarks, achieving a score of 60.4% on SWE-bench Verified, surpassing several competitors including DeepSeek [1][3]. Model Development - Kimi-Dev-72B is based on the Qwen/Qwen2.5-72B model, indicating it is not a completely original model but rather a fine-tuned version utilizing a large dataset of GitHub issues and PR submissions for training [2][3]. - The innovative aspect of Kimi-Dev lies in its training methodology, which employs large-scale reinforcement learning to autonomously fix real code repository issues within a Docker environment [3]. Licensing and Compliance - Kimi-Dev-72B is released under the MIT license, but it must comply with the original licensing restrictions of Qwen-2.5-72B, which is governed by the Qwen LICENSE AGREEMENT [4][5]. - The licensing controversy stems from questions about whether Moonlight Dark Side obtained special permission to use Qwen-2.5-72B, as the licensing agreement stipulates commercial licensing requirements when monthly active users exceed 100 million [6][7]. Community Response - The Qwen team clarified that they did not grant permission for the use of Qwen-2.5-72B, but later described the issue as a "legacy problem" related to their evolving licensing strategy [8][10]. - The Qwen team has transitioned to a more open licensing model with the upcoming Qwen3 series, adopting the Apache 2.0 protocol for all models, which aims to foster a more open and active AI ecosystem [12][13]. Industry Implications - The case illustrates a shift in the AI industry towards open-source collaboration, moving from restrictive licensing to more open models to encourage developer engagement and innovation [16][18]. - The rising trend of "second innovation" based on strong foundational models highlights the importance of differentiation in value creation within the open-source ecosystem [16].