Workflow
中兴通讯屠嘉顺:通用人工智能要超越人类,还比较遥远
2 1 Shi Ji Jing Ji Bao Dao·2025-11-03 11:09

Core Insights - The rapid evolution of artificial intelligence (AI) is transforming human civilization, with a focus on "carbon-silicon integration" where human and AI collaborate deeply [2][20] - The telecommunications industry is at the forefront of technological innovation, transitioning from traditional connectivity to intelligent connectivity, driven by AI [3][4] AI in Telecommunications - AI is essential for enhancing network efficiency and resource utilization, marking a strategic shift for companies like ZTE towards AI integration [3][4] - The upcoming 6G era will see AI as a core component, transforming networks into intelligent infrastructures capable of decision-making [3][14] - ZTE's "AI Reshape (Air)" series aims to reconstruct existing 5G networks to facilitate a smooth transition to 6G, significantly improving resource efficiency [3][4] AI Applications and Innovations - Two main directions for AI in telecommunications are identified: "AI for Network" focusing on network intelligence and "Network for AI" which supports AI training and inference through high-performance networks [4][17] - ZTE's NTele-R1-32B-V1 model demonstrates the effectiveness of "small sample efficient training," achieving high performance with only 800 selected samples [8] - The Co-Sight super intelligent agent can save 80%-90% of labor costs by automating repetitive tasks in network maintenance [9][12] Future of AI Models - Future AI models are expected to be multimodal, integrating various forms of data beyond language to enhance understanding and application [5][18] - ZTE is developing models that can operate across different platforms, from mobile devices to large data centers, ensuring adaptability to various use cases [5][18] Strategic Vision and Market Position - ZTE aims to become a leader in digital infrastructure by leveraging its 40 years of experience in network connectivity and AI capabilities [7][20] - The company emphasizes an open AI ecosystem to meet diverse customer needs, allowing for tailored solutions across different industries [15][16]