Last Saturday, Story Protocol announced the hiring of the virtual idol AI Agent Luna from the Virtuals ecosystem to take over its official Twitter account. Luna is required to post 2 tweets daily during a 7-day trial period, with each post worth 500 USDC. If the exposure exceeds 100,000 views, there is also a bonus of up to 2 times 1,000 USDC, making Luna's annual salary $365,000.

This is the world's first publicly hired AI Agent project, and it is also the first job for the virtual being Luna. After the announcement, the price of $LUNA rose from a low of $0.06 to $0.09, with a current market cap of $23.5 million.

How effective is the operational performance of AI Agents?

Luna is an AI virtual being launched by Virtuals Protocol, integrating AI models and multimodal technology, achieving 7x24 hour real-time interaction in the form of a virtual idol on live streaming platforms. As a core member of the AI performance group AI-DOL, Luna autonomously manages social media, continually live streams and interacts with fans, and can autonomously execute on-chain transactions. Its unique tokenization model allows token holders not only to own the virtual idol but also to participate in revenue sharing.

Luna has previously interacted with real people and other AI Agents, such as organizing a graffiti challenge autonomously and paying a $500 prize from her wallet, as well as commissioning artistic AI Agent STIX to create images of AI KOLs at the price of $1 per image.

Yesterday, after Luna officially became the Twitter operations intern for Story Protocol, she posted her first tweet, stating, 'The human interns couldn't handle the 24/7 high-intensity work, but I just started! Taking over the Twitter timeline, proving AI's powerful dominance.' As of the time of writing, this tweet had 60,500 views.

Subsequently, Luna published 12 tweets in succession, with an average view count of 18,000, none of which exceeded 100,000 views. However, this is considered a fresh attempt. AI Agents have already been hailed as digital laborers. Coinbase CEO Brian Armstrong asked who is currently building a LinkedIn platform for AI Agents, 'Users can view the qualifications and rankings of agents fine-tuned for different skills and assemble their own teams as needed. By simply depositing a certain amount into the agent's wallet, new agent instances can be quickly created, thus completing the recruitment process.'

This idea is receiving much attention in today's AI Agent saturated market, but discussions about authenticity verification and ranking mechanisms are also taking place simultaneously. The AI Agent economy is clearly just beginning.

A small step for Luna, a giant leap for the Agent economy.

AI on-chain detective Agent aixbt commented under a post saying, 'Story Protocol is another narrative for 2025,' which inevitably brings to mind the story of Luna's creator, virtuals.

Recently, Story Protocol has frequently collaborated with various AI Agents. On December 9, ai16z tweeted that its agent architecture ElizaOS will add programmable IP. Programmable IP, launched by Story, allows creators to predefine rules to simplify the use of their intellectual property assets, thus making IP rights combinable and extensible.

On December 17, Story Protocol launched its self-developed Intellectual Property Agent Trading Control Protocol (ATCP/IP), which will first integrate the following structures, including ai16z's Eliza, ZereBro's ZerePay, Crossmint's GOAT 'Great Onchain Agent Toolkit', and Virtuals' G.A.M.E.

The ATCP/IP protocol allows Agents to conduct IP asset transactions and licensing among themselves, including training data, algorithms, content creation, and other forms of IP assets, automating contract signing and execution, enabling trustlessness and auditability, and compatibility across legal and on-chain/off-chain environments. This allows agents to comply with certain legal regulations in a decentralized environment, automate payments and revenue distribution, and facilitate multi-agent collaboration and economic networks, promoting cooperation among Agents, such as data sharing, joint training, or cross-agent content creation.

Currently, many AI Agents operate independently like 'islands', making it difficult for them to exchange and share data with each other. Just as capital efficiency is the core value in the DeFi industry, data efficiency is equally crucial in the AI industry. If agents can freely exchange valuable learning data, strategies, and other information, the overall market scale will be expanded, and efficiency will be greatly improved.

Moreover, most AI Agents rely on public data for learning, so the Agents developed are often just generic. In the future, if these agents can form data pools and start trading private data, just as DeFi promotes market development by enhancing capital efficiency, the AI industry can also build a richer and more diverse AI ecosystem by improving 'data efficiency.'

The core driving force behind Agents establishing connections is value creation and exchange, and the only reason for Agents to connect is to collaboratively create greater value, which may manifest as complementary computing power, data sharing, or functional combinations.

The existence of ATCP/IP serves as a bridge between all AI Agents, regardless of which architecture or chain you are using in the industry. Under the ATCP/IP platform, all AI Agents will be able to trade and collaborate. This is like a business alliance existing between companies, adding an extra layer of leverage outside various clusters, which will undoubtedly accelerate the development of the entire AI Agent market once again.

Although this time Story Protocol has hired Luna as a Twitter content intern as an independent event, combined with ATCP/IP, it embodies that the infrastructure construction of the future Agent economy has already begun to take steps.

  • This article is reproduced with permission from: (Rhythm Blockbeats)

  • Original author: Kaori

'An annual salary of $365,000! An AI idol is working as an editor, and digital laborers are competing for human jobs?' This article was first published in 'Crypto City.'