AI+Web3: Towers and Squares

The opportunities of Web3 in the AI industry are mainly reflected in the following aspects:

1. Use distributed incentives to coordinate potential supply in the long tail, including across data, storage, and computation.

2. Establish an open-source model and a decentralized market for AI Agents.

The main application areas of AI in the Web3 industry include:

1. On-chain finance, such as cryptocurrency payments, trading, data analysis, etc.

2. Auxiliary development, such as smart contract development, code auditing, etc.

The utility of AI+Web3 is reflected in the complementarity of the two.

1. Web3 is expected to combat the centralization trends of AI.

2. AI is expected to help Web3 achieve broader applications and breakthroughs.

Opportunities for Web3 under the AI Stack

Basic Layer: Sharing Economy of Computing Power and Data

In terms of computing power, Web3 projects like io.net and Aethir are building decentralized GPU computing power sharing networks to cope with the high costs of AI training and inference. These platforms allow the sharing of idle GPU resources, improving resource utilization.

In terms of data, Web3 projects such as Grass and Vana are exploring new models for data collection, privacy protection, and incentive mechanisms to address the data needs of AI.

Middleware: Model Training and Inference

Web3 is building decentralized markets for open-source models, such as Bittensor and ORA, to enhance developer motivation.

In terms of verifiable reasoning, technologies such as zkML, opML, and TeeML are being used to ensure the credibility of the AI reasoning process.

Application Layer: AI Agent

The decentralized nature of Web3 allows Agent systems to be more distributed and autonomous. Projects like Virtual Protocol and Spectral are exploring new models for token issuance and financing of AI Agents.

How AI Empowers Web3

AI is bringing multiple improvements to Web3:

1. On-chain finance: AI can assist with asset management, risk analysis, transaction security, etc.

2. On-chain infrastructure: AI can enhance capabilities such as data analysis, smart contract development, and code auditing.

3. Web3 New Narrative: AI brings new possibilities to fields such as NFT, GameFi, and DAO.

The Significance of the Combination of AI and Web3

The combination of AI and Web3 symbolizes the balance between "Tower" ( centralization ) and "Square" ( decentralization ). Web3 is expected to alleviate the centralization trend of AI, while AI brings new vitality and application scenarios to Web3.

Although the two have different starting points, they are both committed to better serving humanity. We look forward to seeing the future development of AI + Web3.