AI Agent: The Next Development Stage of Artificial Intelligence

AI technology is developing at an astonishing speed, and the future will undoubtedly be a world where AI and cryptocurrency are combined. Currently, AI has entered a new stage: AI Agent. This technology is highly promising both in terms of imaginative possibilities and practical applications.

In order to help everyone better understand the AI Agent track, this article will share some introductory knowledge to establish a comprehensive cognitive framework. This is the first article of the AI Agent track introductory guide, and we will continue to delve deeper into this field in the future.

The Essence of AI Agent

The main difference between AI Agent and existing large language models like ChatGPT( is its ability to act autonomously. Existing models are more like powerful "natural language search engines" that can answer questions and provide suggestions, but cannot truly make decisions and execute actions on their own.

The AI Agent goes beyond simple data processing and can complete a full loop from "perception" to "action". For example, in the field of cryptocurrency investment, ChatGPT can only provide suggestions, while the AI Agent can track global market information in real-time and dynamically adjust the investment portfolio to maximize returns.

AI Agent is a software entity based on artificial intelligence technology that can autonomously or semi-autonomously perform tasks, make decisions, and interact with humans or other systems. Its core feature is the ability to act independently.

The AI Agent achieves autonomous action through intent analysis and assisted judgment. It analyzes user prompts and context to understand needs, transforming complex issues into simple true/false judgments or fixed options, thereby enhancing decision-making efficiency.

According to the level of autonomy, AI Agents can be divided into two categories: one type serves as a personal assistant to help users handle tasks; the other type operates as an independent entity, possessing its own identity or brand, providing services to multiple users.

The Combination of AI Agents and Cryptocurrencies

AI and cryptocurrency technology can be deeply integrated. In a Web3 environment, AI Agents are more advanced and complete compared to traditional Web2 environments, and can be referred to as "Crypto AI Agents". With the integration of cryptocurrency technology, AI Agents acquire some new features:

1. Decentralization: Operations, data storage, and decision-making processes are more transparent and not controlled by a single entity.

2. Incentive Mechanism: Provide incentives for developers and users to participate and contribute directly through the token economic model.

3. Permanence: With the help of smart contracts, the AI Agent can theoretically run indefinitely as long as its code and decision-making mechanism are deployed on the blockchain.

Overall, AI Agents require the support of cryptocurrency technology more than the other way around.

The Evolution of AI and Cryptocurrency Integration

The combination of AI and cryptocurrency can be divided into two stages:

) Large Model Stage: Infrastructure

At this stage, Web3 mainly provides an incentive system for AI, tokenizing computing power, algorithms, and data. This is specifically reflected in:

1. Computing Power: Utilizing a distributed network to provide more powerful parallel computing capabilities, incentivizing participants to contribute computing resources through tokens.

2. Algorithm: Use smart contracts to execute AI algorithms, achieving decentralized algorithm execution.

3. Data: Manage data permissions through blockchain technology to ensure data privacy and authenticity while promoting the development of the data market.

During this stage, some well-known projects emerged, such as Render Network, Cortex, and Vana.

AI Agent Stage: Application Implementation

With the emergence of AI Agents, AI has entered the application layer implementation stage. This stage can be subdivided into three developmental phases:

1. AI Agent Meme Coin: Attracts funds and users using the wealth effect, injecting momentum into the industry. Representative projects include $GOAT, $Fartcoin, etc.

2. Standalone AI Applications: AI Agents are integrated with various segments of the cryptocurrency market, resulting in a diverse range of applications, such as ai16z, ARC, $NEUR, and others.

3. AI Agent Framework Standards: Provide a unified specification and tools to simplify the development and deployment process of AI Agents. Main frameworks include Eliza, GAME, swarms, and ZerePy.

Conclusion

The narrative of AI agents is exploding and may become the AI Summer of 2025. Every year, the industry experiences a main narrative explosion, around which many star projects and opportunities emerge. We should closely monitor the developments in this field and seize the opportunities brought by the AI wave.