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].
Kimi超过DeepSeek的新模型被指“套壳”Qwen？到底怎么回事儿