China’s journey towards establishing itself as a global leader in artificial intelligence (AI) is met with complexities influenced by a reliance on American technology. Researchers have indicated that the nation’s ambitious quest for AI dominance faces hurdles due to heavy dependencies on foreign technologies for training AI models. The Beijing Academy of Artificial Intelligence has raised alarms about China’s pronounced ”lack of self-sufficiency” in developing its generative AI capabilities.
A significant obstacle encountered by Chinese AI enterprises is their pronounced reliance on Meta’s Llama system. This open-source family of large language models (LLMs) plays a crucial role in training AI services like ChatGPT. Nonetheless, this heavy reliance on foreign technology poses challenges for China’s indigenous LLM development and training capabilities.
The export limitations imposed by the United States on semiconductor technology to China have further amplified the predicament. These constraints have restricted Chinese companies’ access to advanced chips necessary for supporting locally cultivated LLMs. Consequently, China confronts a notable setback in bridging the AI leadership gap with the United States.
China’s active competition with Silicon Valley to carve a space as a global AI frontrunner underscores the strategic emphasis on technological self-reliance. However, the reliance on foreign AI technology alongside the constraints of export regulations has sparked concerns within China’s tech ecosystem. Industry leaders apprehend that this reliance could accentuate the disparities between China and the United States in the AI domain.
Useful link: China lags the US in dependance on AI by developing generative models
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The source of the article is from the blog portaldoriograndense.com