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外媒再议中国 AI:开源破局硅谷,成全球开发者新选择
Huan Qiu Wang Zi Xun·2025-11-14 06:44

Core Insights - Artificial Intelligence (AI) is recognized as a core area of competition between China and the U.S., with China rapidly catching up in both AI hardware and large model development, traditionally dominated by the U.S. [1] - Chinese AI models, particularly open-source ones, are gaining popularity in Silicon Valley, with companies like Airbnb opting for Chinese products due to their cost-effectiveness and performance [1][2] - The latest evaluation by Artificial Analysis shows that Chinese startup MiniMax's open-source model MiniMax M2 ranks first globally, outperforming Google's model in speed while being significantly cheaper [1][2] Industry Trends - A majority of the top-ranking AI models in the global evaluation are from Chinese companies, with eight models making it to the top ten, while only two from OpenAI are included [2] - Chinese companies are adopting an open-source strategy, allowing widespread access to their AI products, contrasting with the closed models of U.S. tech giants [2] - Experts warn that the closed development model of U.S. companies may lead to their decline, similar to the fate of closed-source web browsers in the past [2] Company Developments - MiniMax is emerging as a disruptive platform, providing easy access to advanced language models without registration or payment, appealing to both developers and general users [3] - The platform's core technology includes leading models with a million-token context window, enabling seamless handling of large documents and complex datasets [3] - MiniMax's user-friendly design allows for easy integration into existing workflows, making it accessible for individual developers, startups, and large enterprises [3] Expert Opinions - Experts believe that China's advancements in AI are underestimated, with the country leading in patent applications and the emergence of open-source models facilitating global acceptance [4] - The performance and cost-effectiveness of Chinese AI models pose significant challenges to the U.S. AI industry, prompting a reevaluation of strategies among Silicon Valley giants [4]