Author: Haotian

About some market misunderstandings of AI Agent, let me briefly talk about my views:

1) AI Agent is mature enough in the web2 field. How is web3 AI Agent comparable?

Any friend who raises such questions, I tacitly agree that what he said is right, because no matter which angle you look at it, it is indeed a fact ,But the reason behind this problem is not that we don’t understand web2,but that some people’s understanding of web3 is always biased, and we should learn more about web3.

2) AI Agent cannot escape the MEME attribute. Is AI MEME its final destination?

In the short term, from the perspective of asset issuance narrative, AI Agent intuitively feels like MEME, but it originated from MEME and became popular because of MEME. What accumulates must be the value of application implementation.The culture of nihilistic financialism cannot support the huge AI narrative. The application value of AI Agent itself, as well as the catfish-style revolutionary value of AI Agent being implemented into the old blockchain infra frameworkare the starry sea of ​​AI Agent;

3) AI Agent should mainly develop standalone AI in the direction of web3, because only an Agent with Utility is meaningful to build?

The imagination space of single AI in the field of web3 is far less than that of web2.Since we want to seek a future in the field of web3, what should be the goal of AI Agent? Running in the blockchain system, the market imagination of "chainization"is greater than anything else. Only focusing on the implementation of Utility applications that are the same as web2,cannot give full play to AI The ultimate potential of Agent will also miss many chain-frame-style innovation opportunities;

4) Multiple protocol standards driven by AI Agent economic models and technical frameworks have been Confused?

Virtual, zerepy, ELIZA, ARC, Swarms, etc. are all classified as AI Agent framework,but there will also be differences between Specific scenarios and universal scenariosVirtual’s closed Tokenomics growth flywheel, Eliza is open source and has no Tokenomics constraints, Zerepy's expertise in the practical application of single AI,ARC's performance in LLM large model performance optimization,Swarms' challenge in enterprise-level multi-model interaction, etc.,Each has its own merits It is wrong and fruitless to compare the shortcomings and strengths of the two together;

5) It is a false proposition for AI Agent to integrate with the blockchain. Is it necessary to combine it with traditional infra to achieve "chainization"

AI Agent must be combined with the blockchain to find a decentralized asset custody solution,a decentralized data memory processing solution,and a decentralized Solver intent transaction automated execution Marketpl ace, etc. The DA, interoperability, chain abstraction, and DeFi infrastructure of the existing public chain will become necessary and necessary for AI Agent to integrate with the blockchain chain. Take this step.