The global landscape is currently witnessing an intense AI arms race, with both business entities and nations vying for dominance. Central to this competition is the emphasis on \"safety,\" highlighting the significant implications AI advancements could have on humanity if not properly managed.
Amidst this backdrop, a debate has emerged concerning the monetary costs associated with AI development, ranging from a modest $6 million to an astronomical $500 billion. This wide disparity has fueled discussions about the true financial demands of advancing artificial intelligence.
China's DeepSeek, an AI laboratory situated in Hangzhou, Zhejiang Province, has recently become a focal point in this debate. The lab gained attention with the release of its DeepThink R1 reasoning mode in an AI chatbot application, which has garnered viral success in app stores and across AI business and social media platforms. Remarkably, DeepSeek achieved this breakthrough with an investment of approximately $6 million, as reported by CNBC and widely discussed in media circles.
The success of DeepSeek challenges existing perceptions of AI development costs and power rankings. Unlike leading U.S. companies such as OpenAI, which launched ChatGPT two years ago and has driven the generative AI revolution, DeepSeek operated with significantly fewer resources. Additionally, Nvidia, a pivotal player in the AI chip market, contributed only modestly to DeepSeek's achievements by providing a limited number of H100 chips. This stands in stark contrast to U.S. initiatives aiming to build AI supercomputer clusters with hundreds of thousands of advanced Nvidia chips.
As more details about DeepSeek emerge, the implications of its cost-effective approach are likely to influence industry standards and investment strategies worldwide, highlighting China's growing impact in the global AI arena.
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Million? Billion? Trillion? China's DeepSeek sparks AI costs debate
cgtn.com