The Future Integration of AI and Crypto Assets: A Beginner's Guide to the AI Agent Track

The development speed of AI is astonishing, and the future will undoubtedly be a world of AI. If we add one core element, it is the combination of AI and Crypto Assets.

Currently, AI has entered a new stage: AI Agent. Whether from the perspective of imagination or practical scenarios, AI Agent has great potential.

The tide of the era is sweeping in, and we need to seize this opportunity. Recently, I have been studying AI Agent, and this article will share my learning journey, hoping to help everyone better enter this field.

This is the first article in the AI Agent track introductory guide, aimed at helping everyone establish a comprehensive understanding and framework-based comprehension. In the future, we will continue to delve into this field, continuously learning to seize the opportunities brought by the AI wave.

The Essence of AI Agent

Let's set aside the complex concepts and directly compare the differences between AI Agent and existing large language models (such as ChatGPT).

Current large language models are more like powerful "natural language search engines" that can answer questions and provide suggestions, but cannot truly make proactive decisions and execute.

The capabilities of the AI Agent go beyond the scope of existing large models, no longer limited to "data processing", but able to complete a full loop from "perception" to "action".

For example: if you ask ChatGPT how to invest in Crypto Assets, it will give you a bunch of suggestions. The AI Agent can help you track global market information in real-time and dynamically adjust your portfolio to maximize returns.

Thus, we can define an AI Agent: it is a software entity based on artificial intelligence technology, capable of autonomously or semi-autonomously executing tasks, making decisions, and interacting with humans or other systems.

The core difference is: autonomous action.

AI Agent achieves autonomous action and seamlessly integrates into business scenarios by transforming complex logic into precise conditions (returning True or False based on context).

First is intent analysis: AI understands user needs by analyzing the user's prompts and context, considering the user's previous usage records and specific situations, and converting these needs into specific program instructions.

Secondly, it assists in judgment: AI can simplify complex problems into yes/no answers or several fixed options, improving decision-making efficiency and integrating well with existing business systems.

AI Agents can be divided into two categories based on the degree of autonomous action.

1. Personal Assistant Type: Assist users in handling business.
2. Independent Individual Type: Owns their identity or brand, providing services to multiple users.

In short, AI Agent represents the next stage of development for large language models and a new form of product, with enormous imaginative potential.

The Relationship between AI Agent and Crypto Assets

AI and Crypto Assets are not entirely distinct; the two can be integrated. More importantly, there are essential differences between Web2 AI Agents and Web3 AI Agents.

The AI Agent of Web3 is a more advanced and complete form, referred to as Crypto AI Agent. With the help of Crypto Assets technology, the AI Agent possesses more features:

1. Decentralization:

   • Operations, data storage, and decision-making processes are more transparent and not controlled by a single entity.
   • A runtime or verification environment provided by the blockchain is needed to address trust issues.
   • Achieve barrier-free use, with data being publicly transparent and interconnected.

2. Incentive Mechanism:

   • Directly incentivize developers and users to contribute through the token economic model.
   • Projects can obtain cash flow through issuing coins to support development, such as AI Agent requiring payment in Crypto Assets.
   • The free market economy fosters more innovation.

3. True Eternal Life:

   • Achieve "eternity" through smart contracts.
   • As long as the smart contract is deployed on the blockchain, the AI Agent can run indefinitely.
   • Ensure that the code and decision-making mechanisms exist permanently on the blockchain.

Overall, compared to the need for Crypto Assets in AI Agent, the AI Agent relies more on the support of encryption technology.

The Evolution of Narratives in AI and Crypto Assets

AI has two stages from large language models to AI agents, and the integration of AI with Crypto Assets can also be divided into two stages:

1. Large Language Model Phase: Infrastructure

AI projects have three main evaluation dimensions: computing power, algorithms, and data. Web3 adds an incentive system for AI, tokenizing all three dimensions.

The intersection of AI and Web3 can be explored from these three dimensions:

1. Hash Rate:

   • Distributed Computing Network: Utilize the Web3 distributed network to acquire more computing resources.
   • Incentive Mechanism: Encouraging participants to contribute computing resources through token economics.

2. Algorithm:

   • Smart Contracts: AI algorithms can run on the blockchain in the form of smart contracts.
   • Decentralized algorithm execution: Improve resistance to interference and security through multi-node joint verification and execution.

3. Data:

   • Data privacy and ownership: Utilize blockchain technology to manage data permissions and ensure privacy.
   • Data Verification and Quality: Using blockchain to verify the authenticity and integrity of data.
   • Data Market: Promote the development of the data market, where users can directly sell or share data.

Several well-known projects have emerged in the market.

• Computing Power: Render Network, Akash Network, Aethir, ionet
• Algorithmic: Cortex, Fetchai, iExec RLC
• Data types: Vana, RSS3
• Comprehensive Project: Myshell

During the large language model phase, the combination of Crypto Assets and AI mainly focuses on the infrastructure layer, laying the foundation for the long-term development of AI.

2. AI Agent Phase: Application Landing

The emergence of AI Agents marks the phase of AI entering the application layer. This phase can be subdivided into three development stages:

1. AI Agent Meme coin phase:

   • Provide ordinary people with the opportunity to participate in the AI revolution.
   • Utilize the wealth effect to accelerate the market education and dissemination of AI.
   • Top projects include: $GOAT, $Fartcoin, $ACT, $WORM

2. Monolithic AI Application Stage:

   • The AI Agent integrates with various segments of Crypto Assets, presenting a flourishing situation.
   • Tokens are no longer just pure Meme coins; they have actual use case support.
   • Areas involved include: Genesis projects, Agent Gaming, Agent DeFi, code auditing, data analysis, autonomous AI Agent, etc.

3. AI Agent Framework Standard Phase:

   • Provide unified standards and tools to simplify AI Agent development and deployment.
   • Allows the creation of AI Agents that can interact with multiple clients and extend functionalities through plugins.
   • The main framework includes: ai16z (Eliza), Virtual (GAME), swarms, ZEREBRO (ZerePy)

Conclusion

The narrative of the AI Agent has begun to explode. Every year in our industry, there is a main narrative explosion, around which many star projects and opportunities will emerge.

For example, the DeFi Summer of 2020, the Inscription Summer of 2023, the Meme Summer of 2024, and the AI Summer that is emerging in 2025.

Don't miss these rare wealth creation opportunities. Gain a deep understanding of the AI Agent track and seize the opportunities brought by the AI wave.