Anthropic声称被Deepseek蒸馏！马斯克为啥怼？

Core Viewpoint - Anthropic has accused three Chinese AI companies—DeepSeek, Moonshot AI, and MiniMax—of large-scale "distillation" of its model Claude, claiming that these companies used over 24,000 fake accounts to interact with Claude approximately 16 million times to extract model capabilities for their own models [1][3][16]. Group 1: Distillation Process - Distillation is a common AI training method where a stronger "teacher model" generates output data to train a "student model," allowing for the replication of some capabilities at a lower cost and parameter scale [2][14]. - The controversy centers on the scale and method of distillation, with Anthropic alleging that the three companies systematically extracted Claude's capabilities through shared payment methods, proxy services, and bulk request structures [3][16]. Group 2: Specific Interactions - DeepSeek is accused of over 150,000 interactions focusing on reasoning and thought chain data; Moonshot AI is reported to have around 3.4 million interactions targeting agent capabilities and tool invocation; MiniMax had the highest number, approximately 13 million interactions, concentrating on agent orchestration and tool usage [3][16]. Group 3: Industry Reactions - Elon Musk criticized Anthropic on social media, suggesting that the company has previously faced controversies regarding training data and implying hypocrisy in their accusations [3][19]. - There are differing opinions within the industry regarding the focus of the controversy, with some arguing that the issue lies not in the distillation technology itself but in the specific implementation methods that may violate service terms or regional restrictions [21][22]. Group 4: Legal and Ethical Considerations - The lack of clear legal standards regarding the ownership of model outputs raises questions about whether the actions of the accused companies constitute normal competition or unfair extraction [23][24]. - The ongoing debate highlights the need for clearer definitions of what constitutes reasonable use versus systematic capability extraction in the context of AI model training [24].