Core Model Overview
The Yin-Yang - Five Elements - Yun - Qi Model views AI Infrastructure as an organic whole, revealing its operational mechanisms from four dimensions. Each layer focuses on different fundamental questions:
Four-Layer Model
| Layer | Name | Focus Question |
|---|---|---|
| Yin-Yang | State Layer | The system’s internal unity of opposites tension structure, revealing how dual elements like performance vs. constraints, innovation vs. governance coexist |
| Five Elements | Role Layer | Five basic role elements in the system and their collaborative relationships, breaking down complex infrastructure into data, models, compute, platforms, and hardware |
| Yun | Time Layer | The development stage the system is in and its cyclical patterns, describing the evolution cycle from exploration to platformization, then scaling and rebalancing |
| Qi | Flow Layer | The effective “field” of flow within the system, characterizing the conduction and feedback of signals and resources, reflecting the overall smoothness of operation |
Model Interactions
The four-layer model is not isolated but an interconnected organic whole:
- The tension of Yin-Yang permeates the dynamic balance of Five Elements
- The development of Five Elements roles is constrained by their Yun stage
- The flow of Qi connects the above elements into a self-adaptive cyclic system
The overview diagram below illustrates each layer of the model and their interactions:
Model Application Value
This four-layer model provides a unique perspective for the design, operations, and governance of AI Infrastructure:
- Holistic Cognitive Framework: Transcend the limitations of single technical metrics to grasp system state as a whole
- Dynamic Balance Thinking: Understand unity of opposites relationships and avoid extremes
- Evolutionary Stage Awareness: Grasp the system’s development stage and act in accordance with the situation
- Flow Insights: Focus on energy flow within the system to anticipate problems
Next, we will delve into the connotation, engineering mapping, and mechanism of each layer.