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为了挑战Big Tech对人工智能的控制,AI代理协议Thinkagents.ai推出了一个新的开源框架,
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.
为了挑战Big Tech对人工智能的控制,AI代理协议Thinkagents.AI推出了一个新的开源框架,用于构建在分散网络之间自动运行的新开源框架。
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.
尽管传统系统旨在限制用户的数据所有权和平台能力,但thinkAgents.ai正在创建一个由用户拥有和控制的可互操作生态系统。对于Think的核心贡献者Mike Anderson来说,Think Agent Standard是AI的未来。
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)和他的团队制定了思想代理标准,以使数百万个自动驾驶AI代理商进行交易和交流。该协议现在在船上有70多家公司,例如Nixum和Yuga Labs,以提供帮助。
The platform is now live, allowing developers, enterprises and Web3 communities to experiment with the framework.
该平台现已实时,使开发人员,企业和Web3社区可以尝试该框架。
“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.”
安德森在对Cointelegraph的独家采访中说:“总是有这样的想法,很难[构建AI],当您必须建立一千种自定义方法的方法时,它要贵得多。” “通过标准化需求(人们想要获得AI的方式),您可以使整个市场都因为他们想要客户而排队,并且吸引AI的客户确实很困难。”
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.
几年前,在Meta的Llama 2发布后,Anderson和他的团队决定,如果分散的AI的未来曾经表现出来,他们需要确保消费者可以轻松地使用图形处理单元(GPU),而无需花费数十亿美元。
“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.
“我们看着整个生态系统开始增长,人们说,'我将要建立堆栈的这一部分',其他人则说他们会'建立堆栈的那一部分,就像亚马逊网络服务(AWS)与每个部门一起出现,一个人说他们会做数据,另一个人说他们会做网络,”安德森说。
Developing the AI standard
开发AI标准
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启动的,与独立AI Institute合作,Anderson及其团队的最初用例定义了AI Agent(可以访问计算机并可以做出决定的区块链上的位置),而AI代理商则在互相互动的AI Adents中互相打击。该用例使九家不同的公司与去年夏天的30,000名观众一起工作。
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.
因为如果拥有和控制AI代理的代理人将留在用户手中,那么分散的AI代理平台需要简单,用户直觉,设计良好,并以用户体验进行交付,而用户体验可能会改变我们使用和理解社交媒体的方式。
Related: How Meta’s antitrust case could dampen AI development
相关:Meta的反托拉斯案如何抑制AI开发
“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.”
安德森说:“想象一下,如果我们在2003年有了远见卓识,可以将社交媒体视为组织生活的一种方式。” “与其在MySpace,Facebook和Twitter上拥有帐户,如果我们有一个标准,您的帐户在您的帐户关注您的位置 - 所有数据以及您过去发布的所有数据都是您向他们提供的东西。如果用户拥有他们的帐户和数据,那是非常不同的事情,如果您可以选择看到广告,从而从他们那里受益。这就是我们构建的。”
The future of AI agents
AI代理商的未来
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标准启用了令牌化的经济一样,Think Agent标准也引入了一个模块化,无许可和可组合的系统,使AI代理可以充当主权数字实体:拥有钱包,与智能合约互动并在每个区块链中无缝进行交易。
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.
每个Think Agent都由Norbible Intelligence™(NFI)提供动力,这是一个数字身份层,该数字身份层建立所有权,内存和身份验证,核心基因组调色板驻留在根网络上,随后部署到任何已连接的网络本地部署。
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.
代理人由三个核心元素组成:灵魂(NFI),它提供了一种持久的自我支持的身份;控制行为和决策的思想;和身体,可以跨平台和环境进行交互。
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.
建立在思想代理标准的第一个平台是Souls,这是用户可以拥有,训练和自定义的个人AI代理。 Souls连接到数千种开源应用程序,并通过整合最佳可用智能而不损害用户隐私或所有权来演变。
Related: Crypto projects prepare to battle for privacy in Switzerland
相关:加密项目准备在瑞士争夺隐私
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.
游戏,基础架构和生成AI领域的领先组织,包括Yuga Labs,Futureverse,Alchemy,Render,Wenice.AI和Magic Eden,正在积极地将标准集成到现实世界中,从而进一步验证其在用例中的潜力。
“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代理是技术的新界面,”安德森说。 “我们已经成功完成的是与消费者品牌(例如无聊的APE游艇俱乐部)合作,实际上将分销分配到消费者的终点上,我们已经能够构建所有系统,以便它们实际上可以访问消费者。”
For Anderson, a personal AI agent is like a personal dashboard
对于安德森(Anderson),个人AI代理就像个人仪表板
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