### **Deep Thinking Dimensions of Port3 Network (PORT3)**
#### **🔹 Technical Implementation Aspects**
1. **Data Credibility Issues**
- How to ensure the authenticity of off-chain data (such as Twitter, Discord)?
- Is an oracle verification mechanism adopted?
- Does data collection face privacy compliance challenges (such as GDPR)?
2. **Specific Applications of AI Models**
- What AI algorithms are used for data analysis? (such as NLP, Graph Neural Networks)
- Is the model open-source? How to prevent algorithm bias?
- Can users verify the accuracy of AI analysis results?
#### **🔹 Economic Model Design**
1. **Token Value Capture**
- Besides governance, how does PORT3 create actual demand?
- Is the revenue from data services used for token buyback/burning?
- How is the token inflation rate designed to balance incentives and value?
2. **Incentive Compatibility**
- How to prevent users from gaming the system to cheat rewards?
- Is the revenue from social tasks (SoPad) sustainable?
- In the long term, is the revenue distribution between ordinary users and professional institutions fair?
#### **🔹 Market Competitive Landscape**
1. **Competitor Comparison Analysis**
- What are the differentiations compared to social credential projects like Galxe and CyberConnect?
- What are the advantages over blockchain analysis tools like Chainalysis and Nansen?
- Is there a risk of potential giants (like OpenAI) entering the AI data layer field?
