Group 1 - The core principle of "Scaling Law" for large models remains valid, indicating that higher parameters lead to better performance [2] - The emergence of reasoning models has created a new curve for large-scale development, termed "reasoning scaling" [2] - The rapid decline in the cost per token for large language models (LLM) over the past three years will further reinforce the scaling law [2] Group 2 - AI is driving large-scale expansion of infrastructure, with the AI data center industry experiencing significant construction activity over the past year [2] - The large-scale construction in the IDC industry will stimulate the power ecosystem and economic development, reflecting the core of "AI industrial scaling" [2] Group 3 - Humanity is entering the "agent swarm" era, characterized by numerous agents interacting, executing tasks, and exchanging information [3] - The interaction between humans and agent swarms will form the basis of the "agent economy" [3] - Models and GPU computing power will become core assets for future organizations, necessitating the expansion of computing power to enhance models and enrich data [3]
张宏江:基础设施加速扩张 AI正步入“产业规模化”
Yang Guang Wang·2025-09-11 05:07