Several market misunderstandings about AI Agent: A brief discussion on the views

Author: Haotian

Regarding the market misunderstandings about the existence of AI Agent, let me briefly talk about my views:

1) AI Agent is already mature enough in the web2 field. What is the comparison between web3 AI Agent?

I acquiesced to what he said is right for friends who ask such questions.Because no matter from which perspective, it is indeed true.But it’s not that we don’t understand web2,Instead, some people’s understanding of web3 is always free from prejudice.You should have a deeper understanding of web3.

2) AI Agent cannot be separated from MEME attributes. AI MEME is the final destination?

In the short term, from the perspective of asset issuance narrative, AI Agent intuitively feels that it is MEME, but it originated from MEME.If it becomes popular because of MEME, what it will eventually accumulate must be the application value.The culture of nihilistic financialism cannot support a huge AI narrative.The application value of AI Agent itself, as well as the catfish-like revolutionary value of AI Agent implemented in the old blockchain big infra frameworkIt is the sea of ​​stars of the AI ​​Agent;

3) AI Agent should mainly develop monolithic AI in the direction of web3.Because Agents with Utility have meaning?

The imagination space of monolithic AI in the web3 field is far less than that of web2.Since we want to seek the future in the web3 field, the goal of AI Agent should be how to run in the blockchain system and “chainize”The market imagination space is greater than everything else.Only focus on the implementation of Utility applications that are no different from web2.If you cannot realize the ultimate potential of AI Agent, you will also miss many chain circle frame-based innovation opportunities;

4) AI Agent economic model-driven and technical framework-driven protocol standards are confused?

Virtual, zeropy, ELIZA, ARC,Although Swarms and others are uniformly classified as AI Agent frameworks,But there will also be specific specific scenarios and universal scenariosThe difference.Virtual’s closed Tokenomics growth flywheel,Eliza open source without Tokenomics constraints,Zerepy’s expertise in the application of monolithic AI,ARC’s performance in LLM large model performance optimization,Swarms need to challenge enterprise-level multi-model interaction, etc.Each has its own shortcomings and strengths, and it is wrong to compare and compare without results;

5) AI Agent connects to blockchain is a false proposition, combined with traditional infra to achieve “Chaining” is not necessary?

AI Agent must be combined with blockchain to find a decentralized asset custody solution.and decentralized data Memory processing solutions,And decentralized Solver intention to automate transaction execution Marketplace and so on.There are already DA, interoperability, chain abstraction,DeFi infrastructure and other fields will become a prerequisite for AI Agent to connect with blockchain chains.It is necessary,And we must take this step.

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