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Serenity: U.S. AI companies are being "forced" by cheaper models and should strengthen low-cost reasoning capabilities.

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Golden Finance reported that Serenity stated that although some observations in the UBS report have anecdotal authenticity, what is more noteworthy is the increasing number of Chinese-language reports about the distillation of Anthropic models. Currently, many American startups and tech companies tend to use cheaper Chinese models (such as DeepSeek) in AI applications because their unit task cost is significantly lower than that of inference models like Gemini, OpenAI, and Anthropic. This trend creates a "typical paradox" driven by capitalism: companies naturally choose lower-cost solutions, thereby undermining the leading advantage of American models.
Serenity suggests that the United States needs to respond in two areas: first, building a stronger access control and authentication system; second, improving the cost efficiency of inference models to comprehensively outperform competitors like DeepSeek in terms of price and performance.
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