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Exploring the Role of Large Language Models in the Scientific Method: From Hypothesis to Discovery

Large Language Models (LLMs) are transforming various stages of scientific research, including experimental design, data analysis, and hypothesis generation. This paper reviews the current application of LLMs in the scientific method, analyzes the gap between their roles as technical tools and creative engines, and points out the key steps required for deeper integration. Although LLMs show great potential in accelerating scientific discovery, they still face limitations in fundamental science (e.g., the discovery of new principles or laws). In the future, combining data-driven techniques with symbolic systems may give rise to hybrid engines that drive entirely new research directions.

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Supply chain fragmentation: How geopolitics is reshaping the global automotive industry

Geopolitical conflicts and trade barriers are forcing the global automotive supply chain to shift from globalization to regionalization and block formation. Major economies such as China, the United States, and Europe are competing over supply chain security, giving rise to a dual-track supply chain and a block-based pattern rooted in geopolitical camps. Leveraging its complete manufacturing system, China is transforming from a cost center into a resilience center.

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