AI Agent Revolution: Eliza Labs Founder Talks About the Future of Web3

The AI Agent is sweeping across the entire cryptocurrency ecosystem. As the founder of Eliza Labs and ai16z, Shaw is undoubtedly at the forefront of this wave.

In this in-depth interview, Shaw shared his thoughts on the practicality of AI Agents and his judgments on future developments. Here are the main highlights of the conversation:

AI Agent + DeFi: The Most Promising Application Scenarios

Shaw believes that DeFi is one of the most promising application areas for AI Agents: "What I am most interested in right now is DeFi, because it has many arbitrage opportunities. DeFi fits the characteristic of 'there are money-making opportunities but many people do not know how to use them' more than anything else."

He introduced the collaboration with projects like Orca to develop bots that can automatically identify arbitrage opportunities and execute trades. These bots can help users participate in DeFi more conveniently, automating the entire process.

Shaw also specifically mentioned the potential of using liquidity pools in Meme coin trading: "Meme coins experience very rapid increases at the beginning, making it difficult to operate liquidity pools. However, once they stabilize, volatility becomes a favorable factor, and at that point, profits can be earned through liquidity pools."

Advantages of the Eliza Framework

As a developer-oriented Agent development framework, Shaw emphasizes several key advantages of Eliza:

1. Based on JavaScript/TypeScript, the developer ecosystem is vast.

2. Provide end-to-end solutions, ready to use.

3. Built-in rich plugins and features, such as speech-to-text, PDF processing, etc.

4. Support for quickly building complex applications through the three elements of "providers, evaluators, and actions."

Shaw said: "What we provide is an end-to-end solution that works immediately once you clone it down. I think Arc is a really cool project, but it lacks connectors, and there are no social connectors."

Vision of Open Source AGI

When discussing the future development direction, Shaw proposed the vision of "Open Source AGI." He believes that AGI may not be realized by a single system, but rather by a large number of interconnected agents.

"If millions of developers are using most open-source models and tools, they will compete with each other, optimizing the capabilities of the entire system. I believe AGI is essentially a form of the internet, which is made up of a multitude of agents that do a variety of things."

He emphasized that with the competition among companies, the model is gradually becoming more efficient, and open source has enabled more developers to participate, all of which are driving the emergence of super artificial intelligence.

Token Economics and Value Capture

Regarding the token economic model of the ai16z project, Shaw admitted that the current Launchpad model is only the initial version and will need to evolve continuously in the future.

"In the long term, we prefer to invest in technologies that can expand the overall ecological value. In the short term, we need to meet market demand and launch the Launchpad. However, after three months, the launch platform may become ordinary, many projects may fail, and only a few will be able to continuously create value."

He mentioned that in the future, there may be a shift towards a model more similar to a production studio, allowing people to submit projects to the DAO and invest in them. At the same time, he is also looking for new ways to enhance the value of tokens, such as increasing long-term yield pressure, etc.

Transitioning from "Garbage Bot" to Practical Agent

Shaw believes that some useless "Slop Agents" currently flooding the market may not completely disappear, but in the future, more practical Agents will emerge:

"We are still in a 'dogs playing poker' phase. Initially, if you walked into a room and saw four dogs playing poker, you would find it incredible, but after a few weeks, you would ask: 'How are those dogs playing? Are they really making money, or are they just holding the cards?'"

He predicts that in the next month or two, we will see many new practical Agents emerge, especially in fields like DeFi.

Conclusion

As a pioneer in the field of AI Agents, Shaw is full of confidence in the future of this technology. He believes that with the improvement of development frameworks, the expansion of practical scenarios, and the growth of open-source communities, AI Agents will play an increasingly important role in reshaping the Web3 ecosystem.