thinkAgentents.ai啟動了新的開源框架，用於構建鍊鍊AI代理商

為了挑戰Big Tech對人工智能的控制，AI代理協議Thinkagents.ai推出了一個新的開源框架，

In a move that hopes to challenge Big Tech’s grip on artificial intelligence, AI agent protocol Thinkagents.ai has launched a new open-source framework for building onchain agents that operate autonomously across decentralized networks.

為了挑戰Big Tech對人工智能的控制，AI代理協議Thinkagents.AI推出了一個新的開源框架，用於構建在分散網絡之間自動運行的新開源框架。

While traditional systems aim to restrict data ownership and platform abilities for their users, Thinkagents.ai is creating an interoperable ecosystem owned and controlled by its users. For Mike Anderson, core contributor at THINK, the Think Agent Standard is the future of AI.

儘管傳統系統旨在限制用戶的數據所有權和平台能力，但thinkAgents.ai正在創建一個由用戶擁有和控制的可互操作生態系統。對於Think的核心貢獻者Mike Anderson來說，Think Agent Standard是AI的未來。

Anderson and his team developed the Think Agent Standard to enable millions of autonomous onchain AI agents to transact and communicate. The protocol now has over 70 companies, like Arbitrum and Yuga Labs, on board to help out.

安德森（Anderson）和他的團隊制定了思想代理標準，以使數百萬個自動駕駛AI代理商進行交易和交流。該協議現在在船上有70多家公司，例如Nixum和Yuga Labs，以提供幫助。

The platform is now live, allowing developers, enterprises and Web3 communities to experiment with the framework.

該平台現已實時，使開發人員，企業和Web3社區可以嘗試該框架。

“There was always this idea that it’s so much harder to [build AI] and it’s so much more expensive when you have to build a thousand custom ways of doing it,” Anderson said during an exclusive interview with Cointelegraph. “By standardizing demand — the way people want to receive AI — you can get the whole market to line up because they want customers, and getting customers in AI is really difficult.”

安德森在對Cointelegraph的獨家採訪中說：“總是有這樣的想法，很難[構建AI]，當您必須建立一千種自定義方法的方法時，它要貴得多。” “通過標準化需求（人們想要獲得AI的方式），您可以使整個市場都因為他們想要客戶而排隊，並且吸引AI的客戶確實很困難。”

Following the release of Meta’s Llama 2 a few years ago, Anderson and his team decided that if the future of decentralized AI ever manifested, they needed to ensure that consumers could easily use graphic processing units (GPUs) without spending billions of dollars.

幾年前，在Meta的Llama 2發布後，Anderson和他的團隊決定，如果分散的AI的未來曾經表現出來，他們需要確保消費者可以輕鬆地使用圖形處理單元（GPU），而無需花費數十億美元。

“We watched as this whole ecosystem started to grow, with people saying, ’I’m going to build this part of the stack,’ and others saying they’ll ‘build that part of the stack,’ almost as if Amazon Web Services (AWS) showed up with each department, with one saying they’ll do the data and another saying they’ll do the networking,” Anderson said.

“我們看著整個生態系統開始增長，人們說，'我將要建立堆棧的這一部分'，其他人則說他們會'建立堆棧的那一部分，就像亞馬遜網絡服務（AWS）與每個部門一起出現，一個人說他們會做數據，另一個人說他們會做網絡，”安德森說。

Developing the AI standard

開發AI標準

The Think Agent Standard was launched by THINK protocol, in partnership with the Independent AI Institute, with the initial use case around Anderson and his team defining an AI agent (a place on a blockchain that has access to a computer and can make decisions), and the AI agents playing the video game Street Fighter 3 against each other. The use case brought nine different companies to work together for an audience of 30,000 viewers last summer.

Think Agent Standard是由Think Protocition啟動的，與獨立AI Institute合作，Anderson及其團隊的最初用例定義了AI Agent（可以訪問計算機並可以做出決定的區塊鏈上的位置），而AI代理商則在互相互動的AI Adents中互相打擊。該用例使九家不同的公司與去年夏天的30,000名觀眾一起工作。

Because if owning and controlling AI agents is to remain in the hands of users, the decentralized AI agent platforms need to be simple, user-intuitive, well-designed and deliver on a user experience that could have changed the way we use and understand social media.

因為如果擁有和控制AI代理的代理人將留在用戶手中，那麼分散的AI代理平台需要簡單，用戶直覺，設計良好，並以用戶體驗進行交付，而用戶體驗可能會改變我們使用和理解社交媒體的方式。

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“Imagine if we’d had the foresight in 2003 to see social media as a way to organize our lives,” Anderson said. “Instead of having accounts on MySpace, Facebook, and Twitter, what if we had a standard where your accounts follow you—where all of your data and everything you’d posted in the past is something you’re providing to them. It’s a very different thing if users owned their accounts and data and could have opted into seeing ads where they would benefit from them. That’s what we’re building.”

安德森說：“想像一下，如果我們在2003年有了遠見卓識，可以將社交媒體視為組織生活的一種方式。” “與其在MySpace，Facebook和Twitter上擁有帳戶，如果我們有一個標準，您的帳戶在您的帳戶關注您的位置 - 所有數據以及您過去發布的所有數據都是您向他們提供的東西。如果用戶擁有他們的帳戶和數據，那是非常不同的事情，如果您可以選擇看到廣告，從而從他們那裡受益。這就是我們構建的。”

The future of AI agents

AI代理商的未來

Just as the ERC-20 standard enabled the tokenized economy, the Think Agent Standard introduces a modular, permissionless and composable system that allows AI agents to function as sovereign digital entities: Owning wallets, interacting with smart contracts and transacting seamlessly across every blockchain.

正如ERC-20標準啟用了令牌化的經濟一樣，Think Agent標準也引入了一個模塊化，無許可和可組合的系統，使AI代理可以充當主權數字實體：擁有錢包，與智能合約互動並在每個區塊鏈中無縫進行交易。

Each Think agent is powered by Non-Fungible Intelligence™ (NFI), a digital identity layer that establishes ownership, memory, and authentication, with the core genome palette residing on The Root Network and subsequent layers deployed to any connected network natively.

每個Think Agent都由Norbible Intelligence™（NFI）提供動力，這是一個數字身份層，該數字身份層建立所有權，內存和身份驗證，核心基因組調色板駐留在根網絡上，隨後部署到任何已連接的網絡本地部署。

The agents are composed of three core elements: The Soul (NFI), which provides a persistent, self-sovereign identity; the Mind, which governs behavior and decision-making; and the Body, which allows interaction across platforms and environments.

代理人由三個核心元素組成：靈魂（NFI），它提供了一種持久的自我支持的身份；控制行為和決策的思想；和身體，可以跨平台和環境進行交互。

The first platform built on the Think Agent Standard is SOULS, a personal AI agent that users can own, train and customize. SOULS connects to thousands of open-source applications and evolves over time by integrating the best available intelligence without compromising user privacy or ownership.

建立在思想代理標準的第一個平台是Souls，這是用戶可以擁有，訓練和自定義的個人AI代理。 Souls連接到數千種開源應用程序，並通過整合最佳可用智能而不損害用戶隱私或所有權來演變。

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Leading organizations in gaming, infrastructure and generative AI, including Yuga Labs, Futureverse, Alchemy, Render, Venice.ai and Magic Eden, are actively integrating the standard into real-world applications, further validating its potential across use cases.

遊戲，基礎架構和生成AI領域的領先組織，包括Yuga Labs，Futureverse，Alchemy，Render，Wenice.AI和Magic Eden，正在積極地將標準集成到現實世界中，從而進一步驗證其在用例中的潛力。

“AI agents are the new interface to technology,” Anderson said. “What we’ve been able to do successfully is partner with consumer brands — like Bored Ape Yacht Club — to actually have distribution into a consumer’s end point, and we’ve been able to build all the systems so that they can actually access consumers.”

“ AI代理是技術的新界面，”安德森說。 “我們已經成功完成的是與消費者品牌（例如無聊的APE遊艇俱樂部）合作，實際上將分銷分配到消費者的終點上，我們已經能夠構建所有系統，以便它們實際上可以訪問消費者。”

For Anderson, a personal AI agent is like a personal dashboard

對於安德森（Anderson），個人AI代理就像個人儀表板