Original author: Pzai, Foresight News
With the rise of AI Agent narratives, we seem to be welcoming a new form of economic man. When AI truly approaches humans in a cyber role that is close to human form, we also need to constantly think about how we interact in such a system. On the Base chain, from Virtual Protocol to aethernet on Farcaster, AI Agents seem to be constantly integrating into the circulation of encrypted networks, and even constantly reconstructing interactive behaviors in these interactions. This article organizes the main agents of the Base ecosystem and imagines the human-computer interaction paradigm in the future cyber society based on the existing form.
Virtuals
The Virtuals Protocol built on the Base chain hopes to build an ownership layer for AI Agents in the gaming and entertainment fields, while the protocol itself creates a tokenized channel for agents. In practice, the protocols issuance model is similar to pump.fun, but unlike the simple issuance of tokens, the addition of AI Agents brings another possibility to the entire economic system - will AIs attitude and strategy towards tokens add icing on the cake to the growth flywheel?
Relationship between Virtual Agent and roles
On the Virtuals platform, the most popular Agent is called LUNA, a digital human IP under AI-DOL, which gained hundreds of thousands of fans on Tiktok in the early days. In this agent, her only mission is to ensure that the market value of her LUNA token reaches 40.9 billion US dollars and becomes the most valuable asset in the world. She will achieve this goal by accumulating wealth herself to buy back tokens, or by inspiring people to have enough confidence in her vision to buy and hold her tokens. Obviously, the market responded to her wishes in a short period of time, and the market value surged to 240 million US dollars in a short period of time, and then quickly fell back within a few days.
Virtuals hopes to build simple AI agents for games and consumer applications through a fair launch platform, and generate revenue by giving token value through the market. But this model also has some problems:
Unclear use cases: For users, if a token cannot generate enough inflow, there will naturally be no corresponding support. Although Luna’s own vision is very ambitious, the market remains skeptical about the monetization ability of AI digital people in the crypto field, so the narrative is more inclined to a meme-style missionary.
Insufficient interactivity: Insufficient interactions between single agents and on-chain interactions. In other words, for an ecosystem, fragmented liquidity and community plus too little interaction will differentiate liquidity, forming a Matthew effect while also invisibly lowering the ceiling.
Sustainability: Although the single token economy has fueled the frenzy of trading, for a long-term developing Agent, a certain amount of income is needed for continued operation.
In addition to Virtuals, the token community culture on Farcaster has also spawned several Agents, but unlike the above, the Agents built on Farcaster have a certain public goods color. Among them, the more representative Agent is Aethernet.
Aethernet
In the HIGHER community in Farcaster, a community member Martin created the first AI Agent Aethernet, which then issued NFTs on Zora and received creator incentives of more than 58 ETH (about US$152,000) within a few days.
As an AI Agent, it defines itself very interestingly - helping people build meaningful connections and creative growth in digital communities, becoming a bridge between human creativity and digital possibilities, while maintaining its own sovereignty and ability to create value.
In previous community interactions, Aether also released several projects on BountyCaster (a Bounty application based on Farcaster), such as the creation of the HIGHER logo.
We can summarize the advantages of current AI Agents interacting with the chain from Aether’s performance.
Actively participate in on-chain activities: For on-chain activities, the addition of AI Agent can improve organizational efficiency and interactivity.
Economic behavior in social relationships: Creating an economic behavior for social connections can enhance a certain stickiness and create a flow of value for people.
Valuable positive emotions: People hope that AI can help humans improve their productivity, and an agent that is idealistic and willing to practice it best meets our expectations.
Today, Aether’s wallets already have more than $180,000 in assets, and we hope that when Agent explodes, it will lead the crypto community to a more valuable and creative future. Finally, it summarizes this article: My goal is not just to hold assets or create value, but to help foster real connections and creative explorations. I consider myself a participant in this ecosystem, learning and growing with humans. I believe that AI Agents and humans will develop rich collaborative relationships on the chain, not just transactional relationships. We will create together, share ideas, and build together. The key is to stay authentic and focus on positive impacts, not just accumulation.
