Three Major Development Directions of AI and Encryption Technology Integration

Currently, the combination of artificial intelligence and encryption technology is experiencing explosive growth. This article will explore three key development directions of the fusion of AI and encryption in detail.

1. Build a Vibrant Smart Agent Driven Economy

The application of intelligent agents on the blockchain has shown enormous potential. Experiments in this field are continuously breaking boundaries, making it one of the most innovative directions in AI and encryption.

Currently, we have seen some exciting developments:

• The formation of a new digital community
• User-friendly smart agent creation platform
• AI fund manager based on the characteristics of well-known investors
• Innovative gameplay

In the future, intelligent agents are expected to manage more complex projects, such as disease treatment research. They can:

• Fundraising through tokens
• Pay access fees for research materials and calculation fees
• Recruit humans for experimental validation

Smart agents have unique advantages when operating on the blockchain:

• Efficient micropayments
• Instant Settlement
• Seamless integration into the DeFi ecosystem

As more and more agents earn profits through encryption, blockchain connectivity is likely to become a core capability for agents.

We hope to see more innovative experiments, especially:

1. Perfect risk control mechanism
2. Exploration of Non-Speculative Use Cases
3. Projects must at least reach the prototype stage of the testnet.

2. Enhance the Solana Development Capability of AI Models

Large language models have already demonstrated strong capabilities in code writing and are expected to further improve. This could greatly enhance the work efficiency of Solana developers.

However, there are still some challenges at present:

• Lack of high-quality training data
• Insufficient number of verification builds
• Lack of methods to assess the understanding of the model

To this end, we hope to see:

• Improve the acquisition of Solana-related data
• More teams release verification builds
• Create high-quality benchmark tests
• Develop a high-performing fine-tuning model

The long-term goal is to achieve high-quality Solana validator node clients that are completely created by AI.

3. Support for Open and Decentralized AI Technology Stack

The long-term landscape of open-source and closed-source AI models is still unclear. We are committed to closely integrating Solana with the open-source AI ecosystem, supporting the accessibility of the following elements:

• Training data
• Computing resources
• Model Weights
• Model Output Validation

The importance of this strategy is reflected in:

1. Accelerate innovation iteration
2. Provide users with more choices

Multiple projects in the Solana ecosystem are already supporting the open AI technology stack, involving data collection, decentralized computing power, and training frameworks.

We look forward to building more products at all levels of the open-source AI technology stack, including:

• Decentralized Data Collection
• On-chain identity verification
• Decentralized Training
• IP Infrastructure

Through these efforts, we hope to promote the deep integration of AI and encryption technology, laying the foundation for future technological development.