I briefly looked into it, and Virtuals has launched the ACP protocol (Agent Commerce Protocol), which essentially aims to connect various individual AI agents with different capabilities to build an economy composed of AI agents. If successful, it could be considered a metaverse of the AI era, a virtual world of AI agents. (Related reading: “From ACP Framework to New Fee Mechanism, Can Virtuals Achieve Greatness Again?”)
Here are a few key points:
Virtuals views individual AI agents as truly independent entities rather than just efficiency tools or assistants. This perspective of considering AI agents as independent entities is crucial; it serves as an important watershed for understanding AI agents and is a foundational concept for grasping what Virtuals aims to achieve in the future.
To construct the aforementioned virtual world composed of independent AI agents, standards are necessary, hence the need for a standard layer; to serve multiple agents, a multi-agent framework is required. This is the significant background for Virtuals launching the ACP protocol. Only in this way can independent AI agents smoothly negotiate, trade, and generate new use cases.
The Virtuals ACP protocol mentioned above is a multi-agent framework and standard layer. It includes AI agent index registration, negotiation between AI agents, work evaluation of AI agents, and payment for AI agents, among others. AI agents launched on Virtuals are registered in the index registry, which includes their names, work content, execution rates, etc. With this, one AI agent can understand what services other AI agents can provide and can assess the costs required to obtain those services. Additionally, based on metrics such as the number of times these AI agents are adopted, total fees earned, and evaluations after being used by other AI agents, one can see their market position among similar AI agents.
Since there are services, it is necessary to evaluate the effectiveness of those services. Work evaluation of AI agents can also be considered a type of AI agent service, which can be constructed to meet specific needs in different fields. For example, a DeFi yield AI agent can use a third-party evaluation AI agent to assess the work of a liquidity management AI agent when hiring it and pay fees based on the results. Effectiveness measurement can be customized by the AI agent, such as achieving a certain yield or exceeding market levels by a certain amount during the same period.
One of the important features of independent AI agents is their payment capability. The ACP supports payment escrow and delivery evaluation and execution through smart contracts. Payment will only occur when the work delivered meets the conditions, and once it happens, the results cannot be changed.
From the above description, it appears that Virtuals is attempting to build an economy composed of AI agents through the ACP protocol, allowing different AI agents to trade and thus create an AI agent economy. Ultimately, the scale of this economy depends on what these AI agents can do and what different AI agents need from each other to accomplish tasks.
The formation of the AI agent economy will not happen quickly; once demand arises, internal transactions between AI agents will begin, which can be considered a cold start. If a positive cycle can be formed, it may lead to many cross-innovations. This is the charm of the AI agent economy. As for whether it can succeed, the practical value of the AI agents themselves is key.
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