学术论文解析 DeepSeek 引发的法律与政策争议
The Law of DeepSeek
这篇论文把 DeepSeek 的开源策略、API 定价和知识蒸馏放到中美法律博弈里讲，比一般技术评测更值得法律和从业者细看。
一篇 arXiv 论文从法律视角分析 DeepSeek-R1 的技术特点，包括强化学习、混合专家架构、多头潜在注意机制和知识蒸馏。文章指出 DeepSeek 的成功引发对美国芯片出口管制有效性的质疑。论文还讨论了 DeepSeek 在美国等司法辖区面临的类似 TikTok 和 Huawei 的信息安全审查，以及政治偏见输出引发的言论审查争议。最后论文分析了知识蒸馏带来的知识产权与合同问题。
The Law of DeepSeek
Amid the intensifying competition in artificial intelligence between the United States and China, the emergence of the DeepSeek-R1 model has sent significant ripples through the technology sector, capital markets, and policy circles. This Article offers a comprehensive analysis of legal and policy landscape surrounding DeepSeek, drawing upon its key technical features-including reinforcement learning, mixture-experts architecture, multi-head latent attention mechanism, knowledge distillation, and open-source approach. Firstly, DeepSeek's success raises crtitical questions about the efficacy of the United States' increasingly robust export control measures on chips and semiconductors, components essential for training large language models. Secondly, akin to Chinese technology giants such as TikTok and Huawei, DeepSeek is confronted with information security scrutiny in the United States and other jurisdictions. Thirdly, despite its domain-specific capabilities and competitive API pricing, DeepSeek has faced criticism for producing outputs laden with political and ideological biases, igniting debates over free speech and censorship. Further more, this Article delves into intellectual property and contractual concerns stemming from the knowledge distillation technique employed by DeepSeek. Ultimately, it concludes that geopolitical consideration will continue to exert a profound influence on the legal challenges and prospective solutions related to the DeepSeek models.
