这是2025年度AI十大趋势，4个维度10大结论，“开源AI进入中国时间”

Core Insights - The report highlights that by 2025, AI will transition from the "tool era" to the "partner era," significantly reshaping economic structures, social forms, and human lifestyles through ten key trends [3][34]. Group 1: Key Trends in AI Development - Trend 1: Computing infrastructure is becoming essential, with skyrocketing demand for data centers, making computing economy the primary engine of the intelligent industry [6]. - Trend 2: AI-native demands are reshaping chip innovation, with GPUs facing challenges and NPU becoming prevalent on the edge, while ASIC/FPGA are experiencing growth [9]. - Trend 3: Pre-training will determine the hierarchy of large models, while architectural innovation will influence pre-training levels, with mixed expert models becoming mainstream [13]. - Trend 4: Large models are entering the "inference time," with demands for inference driving model innovation [15]. - Trend 5: The period of information AI applications and physical AI research is emerging, with embodied intelligence becoming a focal point [18]. Group 2: AI Applications and Market Dynamics - Trend 6: AI is reshaping traffic entry points, transitioning from "people finding services" to "services finding people," with AI agents becoming the next generation of interaction paradigms [22]. - Trend 7: Multi-modal capabilities are key for AI application deployment, enabling systems to process and understand various information types, thus enhancing productivity [24]. - Trend 8: AI hardware is proliferating across devices like PCs, smartphones, and IoT, driven by lightweight models and edge computing technologies [25]. - Trend 9: AI4S is accelerating the realization of AGI, with AI reaching doctoral-level problem-solving capabilities in various fields [28]. - Trend 10: Open-source AI is entering a new phase in China, with the country transitioning from a participant to a leader in the AGI domain [31][33]. Conclusion - The report emphasizes that the AI industry is at a historic turning point, where technology is moving from model competition to scenario integration, and the future of AI involves not just technological iteration but also ecological reconstruction and fundamental changes in production and lifestyle [34][36].