AI+Web3: Towers and Squares

Introduction

In the past two years, the development of AI has shown an accelerating trend, with the wave of generative artificial intelligence triggered by Chatgpt also impacting the Web3 field. The concept of AI has brought a financing boom to related Web3 projects, and the secondary market is thriving. Research and discussions on AI+Web3 continue to heat up, from AI+Depin to AI Memecoin to AI Agent and AI DAO, with new narratives emerging one after another.

This article will explore how Web3 plays a role in the AI technology stack and what new opportunities AI can bring to Web3.

Opportunities of 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 gather idle GPU resources through decentralization to provide low-cost and efficient computing resources for AI.

In terms of data, Web3 projects like Grass and Vana acquire user data and realize value distribution through distributed networks and incentive mechanisms at a low cost.

In terms of data privacy and security, projects like Super Protocol and BasedAI use technologies such as TEE, FHE, and ZK to protect sensitive data.

In terms of data storage, projects like 0g.AI design storage solutions to meet the high-performance requirements of AI.

Middleware: Training and Inference of the Model

Web3 proposes the concept of a decentralized open-source model market, with projects like Bittensor and ORA tokenizing models to provide incentives for developers.

In terms of verifiable reasoning, projects like Modulus Labs use technologies such as zkML to verify the correctness of AI computations.

Application Layer: AI Agent

The decentralized nature of Web3 allows Agent systems to be more distributed and autonomous. Projects like Virtual Protocol and Spectral provide early funding and cold start support for AI Agents.

How AI Empowers Web3

AI and On-chain Finance

AI Agents are expected to provide users with intelligent services in asset management, trade execution, and more. Projects like Bitte and Wayfinder are exploring this direction.

AI can also be used to enhance the security of on-chain transactions, such as platforms like SeQure that use AI to detect abnormal transactions.

AI and On-chain Infrastructure

AI can be used for on-chain data analysis, such as Web3 Analytics, MinMax AI, etc.

AI can also be used to assist in smart contract development and auditing, such as on platforms like Spectral and Fuzzland.

New Narratives of AI and Web3

AI brings new possibilities to fields such as NFT, GameFi, and DAO, with projects like Bicasso, AI Hero, ai16z, and others.

Conclusion

The combination of AI and Web3 resembles the relationship between "towers and squares." The centralization trend of AI contrasts with the decentralized philosophy of Web3, yet both complement each other. AI brings new vitality to Web3, while Web3 is expected to counteract the excessive centralization of AI. In the future, AI + Web3 is expected to provide users with more innovative services.