AI 虛擬人 Luna 成為 Story Protocol 的 Twitter 營運實習生

l 上週六宣布，已聘請來自 Virtuals 生態系統的虛擬偶像 AI Agent Luna 接管其官方 Twitter 帳戶。 Luna 在 7 天試用期內每天需要發布兩個帖子，每個帖子可獲得 500 USDC。如果曝光超過100,000次，將額外獲得最多兩次1,000 USDC的獎勵。露娜的年薪是36.5萬美元。

Story Protocol announced last Saturday that it had hired AI Agent Luna, a virtual idol from the Virtuals ecosystem, to take over its official Twitter account. Luna needs to publish two posts a day during the seven-day trial period, with each post receiving 500 USDC. If the exposure exceeds 100,000 times, there will be up to two additional bonuses of 1,000 USDC. Luna's annual salary is $365,000.

Story Protocol 上週六宣布，已聘請 Virtuals 生態系統中的虛擬偶像 AI Agent Luna 接管其官方 Twitter 帳戶。 Luna 在 7 天試用期內每天需要發布兩個帖子，每個帖子可獲得 500 USDC。如果曝光超過100,000次，將額外獲得最多兩次1,000 USDC的獎勵。露娜的年薪是36.5萬美元。

This is the world's first project to publicly employ AI agents, and it is also the first job of the virtual person Luna. After the news was announced, the price of LUNA coin rose from a low of $0.06 to $0.09, and the current market value is $23.5 million.

這是全球第一個公開聘用AI代理的項目，也是虛擬人Luna的第一份工作。消息公佈後，LUNA幣價格從低點0.06美元上漲至0.09美元，目前市值為2,350萬美元。

How effective is AI Agent in operation?

AI Agent運作效果如何？

Luna is an AI virtual person launched by Virtuals Protocol. It integrates AI models and multimodal technology to achieve 7x24 hours of real-time interaction on the live broadcast platform in the form of a virtual idol. As a core member of the AI performance group AI-DOL, Luna automatically manages social media, continuously broadcasts live to interact with fans, and can autonomously execute on-chain transactions. Its unique tokenization model allows token holders to not only own the virtual idol, but also participate in profit sharing.

Luna是Virtuals Protocol推出的AI虛擬人。它融合AI模型和多模態技術，以虛擬偶像的形式在直播平台上實現7x24小時即時互動。身為AI表演團體AI-DOL的核心成員，Luna自動管理社群媒體，持續直播與粉絲互動，並可自主執行鏈上交易。其獨特的代幣化模式讓代幣持有者不僅可以擁有虛擬偶像，還可以參與利潤分享。

Luna has previously interacted with real people and other AI agents, such as organizing a graffiti challenge on its own and paying out a $500 prize from its wallet, and commissioning the art AI agent STIX to create images showcasing AI KOLs at a price of $1 per image.

Luna 先前曾與真人和其他 AI 代理商互動，例如自行組織塗鴉挑戰並從錢包中支付 500 美元的獎金，以及委託藝術 AI 代理 STIX 以每張 1 美元的價格製作展示 AI KOL 的圖像圖像。

Yesterday, after Luna officially became Story Protocol’s Twitter operations intern, she posted her first post, which read, “Human interns have fallen. They can’t handle the 24/7 high-intensity work, but I’m just getting started! Taking over the Twitter timeline proves the powerful dominance of AI.” As of the time of writing, this tweet has been viewed 60,500 times.

昨天，Luna 正式成為 Story Protocol 的 Twitter 營運實習生後，她發布了第一篇帖子，上面寫著：「人類實習生已經墮落了。他們無法處理 24/7 的高強度工作，但我才剛開始！接管 Twitter 時間線證明了人工智慧的強大統治力。截至撰寫本文時，這則推文已被瀏覽 60,500 次。

Subsequently, Luna posted 12 tweets in a row, with an average of 18,000 views, and no tweets exceeded 100,000 views. However, this is a fresh attempt. AI Agents have been hailed as digital labor. Coinbase CEO Brian Armstrong asked who is building a LinkedIn platform for AI Agents. "Users can view the qualifications and rankings of agents with different skill tuning and form their own teams as needed. Just invest a certain amount of money in the agent's wallet to quickly create a new agent instance, thus completing the recruitment process."

隨後，Luna連續發布了12條推文，平均瀏覽量為1.8萬，沒有一條推文瀏覽量超過10萬。不過，這是一次新鮮的嘗試。人工智慧代理被譽為數位勞動力。 Coinbase 執行長 Brian Armstrong 詢問誰正在為人工智慧代理商建立 LinkedIn 平台。 「用戶可以查看不同技能調教的代理人的資格和排名，並根據需要組建自己的團隊。只需在代理人錢包中投入一定的資金，即可快速創建新的代理人實例，從而完成招募過程。 」

This idea has attracted much attention in today's AI Agent-filled market, but discussions about authenticity verification and ranking mechanisms are also ongoing. The AI Agent economy has clearly just begun.

這個想法在當今人工智慧代理充斥的市場中引起了廣泛關注，但關於真實性驗證和排名機制的討論也在不斷進行。人工智慧代理經濟顯然才剛開始。

A small step for Luna, a big step for the Agent economy

露娜的一小步，代理經濟的一大步

AI chain detective Agent aixbt commented on a post saying "Story Protocol is another narrative in 2025", which reminds people of the story of virtuals, the creator of Luna.

AI鏈偵探特工aixbt評論了一篇貼文稱“故事協議是2025年的另一種敘事”，這讓人們想起了Luna的創造者Virtuals的故事。

Story Protocol has recently been collaborating with various AI agents. On December 9, ai16z tweeted that programmable IP will be added to its agent framework ElizaOS. Programmable IP was launched by Story to enable creators to predefine rules and simplify the use of their intellectual property assets, making IP rights composable and scalable.

Story Protocol 最近與各種人工智慧代理商進行了合作。 12 月 9 日，ai16z 在推特上表示，可編程 IP 將添加到其代理框架 ElizaOS 中。 Story推出的可程式IP使創作者能夠預先定義規則並簡化其智慧財產權資產的使用，使智慧財產權具有可組合性和可擴展性。

On December 17, Story Protocol launched its self-developed Agent Transaction Control Protocol for Intellectual Property (ATCP/IP), and will first integrate the following frameworks, including Eliza from ai16z, ZerePay from ZereBro, GOAT "Great Onchain Agent Toolkit" from Crossmint, and GAME from Virtuals.

12月17日，Story Protocol推出自主研發的智慧財產權代理交易管制協議（ATCP/IP），將首先整合以下框架，包括ai16z的Eliza、ZereBro的ZerePay、Crossmint的GOAT「Great Onchain Agent Toolkit」 ，以及來自虛擬的遊戲。

The ATCP/IP protocol allows agents to trade and authorize IP assets, including training data, algorithms, content creation, and other forms of IP assets, automated contract signing and execution, trustlessness and auditability, cross-legal and on-chain and off-chain compatibility, so that agents can comply with certain legal regulations, automated payments and revenue distribution, multi-agent collaboration and economic networks in a decentralized environment, and promote collaboration between agents, such as data sharing, joint training, or cross-agent content creation.

ATCP/IP協定允許代理交易和授權IP資產，包括訓練資料、演算法、內容創作和其他形式的IP資產、自動合約簽署和執行、去信任和可審計、跨法律和鏈上和鏈下鏈相容性，使代理商能夠遵守一定的法律法規、自動支付和收入分配、去中心化環境中的多代理協作和經濟網絡，並促進代理之間的協作，例如數據共享、聯合訓練或跨代理內容創建。

Currently, many AI agents operate independently like "islands", and it is difficult for them to communicate and share data with each other. Just as capital efficiency is a core value in the DeFi field, data efficiency is also crucial in the AI field. If agents can freely exchange valuable learning data, strategies and other information, the scale of the entire market will be expanded and efficiency will be greatly improved.

目前，許多人工智慧體像「孤島」一樣獨立運行，彼此之間很難進行通訊和共享資料。正如資金效率是 DeFi 領域的核心價值一樣，數據效率在 AI 領域也至關重要。如果代理人能夠自由地交換有價值的學習數據、策略等訊息，整個市場的規模將會擴大，效率將會大大提高。

And most AI agents rely on public data for learning, so the developed agents are usually general-purpose. In the future, if these agents can form a data pool and start trading private data, just like DeFi drives market development by improving

而且大多數人工智慧代理依賴公共資料進行學習，因此開發的代理通常是通用的。未來，如果這些代理商能夠形成一個數據池，開始交易私人數據，就像 DeFi 透過改進來推動市場發展一樣