任正非：AI要真正产生出价值，需要全社会的协作

Core Insights - The importance of advanced networks for AI development is emphasized, as data transmission over long distances is crucial for AI to generate real value [1] - Collaboration across society is necessary for AI to avoid becoming isolated and ineffective [1] Group 1: AI and Network Importance - AI's perception and control require advanced networks to transmit data over thousands of kilometers [1] - Without networks, computational power becomes an information island, leading to ineffective AI [1] Group 2: AI Applications in Industries - AI research should focus on practical applications in industries such as manufacturing and healthcare over the next three to five years [3] - Examples like blast furnace ironmaking and autonomous coal mining illustrate how large models and computing power can enhance production efficiency by approximately 0.1% to 1% [3] Group 3: AI in Healthcare - AI is being utilized for remote diagnostics, improving healthcare access in remote areas, as seen in models from Ruijin Hospital and Sun Yat-sen Medical University [3] - The penetration of AI technology into consumer scenarios like autonomous driving and smart voice applications is expected to deepen in the next three to five years [3] Group 4: Education and Talent Development - The principle of separating education from business is highlighted, with a focus on high-quality tutoring despite the advantages of online education breaking geographical barriers [3] - A shift from a physically centralized to a logically decentralized education model is encouraged, promoting collaboration among youth for cultural and technological advancement [3] Group 5: ICPC Overview - The ICPC is recognized as the largest and most prestigious international university programming competition, involving over 50,000 students from more than 2,000 universities across 100 countries and regions [4]