

Group 1 - The core viewpoint is that the current wave of artificial intelligence (AI) is not a fleeting trend or a bubble, but requires a clear technological path for widespread adoption and the development of hybrid AI applications [1][2] - Wang Huiwen emphasizes the limitations of public large models due to factors like network speed, cloud efficiency, cost considerations, and energy consumption, highlighting the need for a hybrid approach that combines public and private intelligence [1] - Hybrid personal intelligence involves deploying models on personal devices or edge devices, creating personal intelligent agents that work across various devices, while hybrid enterprise intelligence focuses on deploying models in private clouds or local data centers to meet specific business needs [1] Group 2 - AI is increasingly integrated into daily life but has not yet achieved true universality; future development should prioritize human-centered and benevolent values to ensure benefits for all [2] - Encouraging technology companies to expand globally and develop collaborative innovation networks is essential for enhancing China's global competitiveness in the digital economy [2]