从代码开源到权重开放:大模型权重开放的逻辑变迁与中国规制路径

From Open-Source Code to Open Weights: The Logical Evolution of Large Model Weight Opening and China’s Regulatory Approach

  • 摘要: 以深度求索为代表的国产大模型崛起,标志着开源创新逐渐成为驱动人工智能发展的战略引擎。在大模型技术演进过程中,本体属性已从确定性的逻辑代码转向概率分布的参数矩阵,由此引发了从“代码开源”向“权重开放”的范式转型。中国大模型采取权重开放模式,是基于技术生态扩散、安全主权防御与法律规则博弈三重维度的战略考量,旨在通过“智力溢出”对冲算力封锁并加速国产芯片适配。虽然权重开放加速了技术的扩散,但在法律属性与条款设计上却造成了对传统开源精神的背离,陷入了名实不副的困境。针对上述局限,构建中国特色权重开放生态体系需在法律规制、基础设施及社区治理层面多维协同,将权重开放转化为普惠化基础设施,以在确保技术自主可控的同时赋能产业升级。

     

    Abstract: The rise of domestic large language models represented by DeepSeek marks that open-source innovation is gradually becoming a strategic engine driving the development of artificial intelligence. In the evolution of large model technology, the ontology attributes have shifted from deterministic logical code to parameter matrices representing probability distributions, thereby triggering a paradigm shift from “code open-source” to “weight openness.” The adoption of a weight openness model by Chinese large models is a strategic consideration based on three dimensions: technology ecosystem diffusion, security sovereignty defense, and legal rule negotiation. It aims to hedge against computing power restrictions and accelerate the adaptation of domestic chips through “intellectual spillover.” Although open weighting has accelerated the diffusion of technology, it has caused a deviation from the traditional open-source spirit in terms of legal attributes and clause design, falling into a predicament where name and reality do not match. To address these limitations, building a Chinese-characteristic open weighting ecosystem requires multidimensional coordination in legal regulation, infrastructure, and community governance, transforming open weighting into inclusive infrastructure that empowers industrial upgrading while ensuring technological independence and controllability.

     

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