Dfinine的首席执行官兼首席科学家多米尼克·威廉姆斯（Dominic Williams）拥有20多年的经验，一直处于区块链创新的最前沿

作为Internet计算机协议（ICP）的创始建筑师，他领导了区块链中最先进的团队之一

The CEO and Chief Scientist of DFINITY, Dominic Williams, has shared his insights on how the Internet Computer Protocol (ICP) is changing the narrative of blockchain technology.

Dfinity的首席执行官兼首席科学家Dominic Williams分享了他对Internet计算机协议（ICP）如何改变区块链技术的叙述的见解。

In an interview with CCN.com, Williams, who boasts over 20 years of experience in computer science, highlighted ICP's unique technical capabilities, which include running AI models on-chain.

在接受CCN.com的采访中，威廉姆斯（Williams）拥有20多年的计算机科学经验，强调了ICP独特的技术功能，其中包括在链上运行AI模型。

''There's a lot of people talking about on-chain AIs, but what they mean is an AI running on Amazon Web Services with a token somewhere on-chain. That's not what we're doing. We're running actual AI models as smart contracts,'' Williams said.

``有很多人在谈论链链AIS，但他们的意思是在Amazon Web服务上运行的AI，在链上有一个令牌。那不是我们在做的。我们正在运行实际的AI模型作为智能合约，”威廉姆斯说。

This capability required a rethinking of how blockchains work. While most chains prioritize token transfer or smart contract execution, ICP had to be built to handle the continuous, real-time operation of AI models in a decentralized environment without relying on centralized data centers like AWS.

这种功能需要重新思考区块链的工作方式。尽管大多数链条优先考虑令牌转移或智能合约执行，但必须构建ICP，以处理在分散环境中AI模型的连续实时操作，而不依赖AWS等集中数据中心。

This makes them verifiable, censorship-resistant, and, most importantly, trustless.

这使它们可验证，耐心，最重要的是，毫无信任。

"If you're running AI on AWS, or any centralized cloud provider, you create a gatekeeper who can censor or shut down applications. But on the Internet Computer, there's no single entity in control," Williams explained.

威廉姆斯解释说：“如果您在AWS或任何集中式的云提供商上运行AI，则可以创建一个可以审查或关闭应用程序的守门人。但是在Internet计算机上，没有一个单一的实体在控制中。”

This design also lays the foundation for a new internet architecture where cloud providers don't gatekeep. Running AI on AWS, or any centralized cloud provider, introduces gatekeeping risks by allowing third-party control over infrastructure that should ideally be decentralized and censorship-resistant.

该设计还为新的互联网体系结构奠定了基础，云提供商不守门。在AWS或任何集中式云提供商上运行AI，通过允许对基础架构进行第三方控制，从而引入了看门风险，理想情况下应该分散并耐心地进行审查。

"We're fundamentally shifting the model of how the internet works," Williams asserted.

威廉姆斯断言：“我们从根本上转移了互联网运作方式的模型。”

However, this technical innovation is just one piece of the puzzle. According to Williams, the introduction of artificial intelligence (AI) is an even more pressing factor that will determine the fate of crypto.

但是，这种技术创新只是难题的一部分。根据威廉姆斯的说法，人工智能（AI）的引入是一个更加紧迫的因素，它将决定加密的命运。

"Crypto has to be changed by force. I think AI is the force that will change crypto," Williams stated.

威廉姆斯说：“加密必须用武力改变。我认为AI是改变加密货币的力量。”

As the founding architect of the Internet Computer Protocol, which is being developed by a team with the highest number of PhDs working on any network, Williams shared his vision for the future of blockchain technology.

作为Internet计算机协议的创始建筑师，该团队正在由一个在任何网络上工作的PHD数量最多的团队开发，因此威廉姆斯分享了他对区块链技术未来的愿景。

With over 20 years of experience in computer science, Williams is also the CEO of DFINITY, a non-profit foundation focused on building the Internet Computer, a decentralized cloud architecture designed to host open and modular applications.

威廉姆斯（Williams）拥有20多年的计算机科学经验，还是Dfinity的首席执行官，Dfinity是一个非营利基金会，旨在构建Internet计算机，这是一种分散的云体系结构，旨在托管开放和模块化应用程序。

During the interview, Williams explored a range of subjects, including the 'self-writing' internet, where anyone can build full-stack apps just by chatting with AI.

在采访中，威廉姆斯探索了一系列主题，包括“自写”互联网，任何人都可以通过与AI聊天来构建全栈应用程序。

"Today, if you want to build a social media app, you need to raise millions in venture capital, hire a team of 10 developers over two years to code in Node.js, deploy to AWS Lambda at 500,000 requests per second, and pay $1 million per year to keep the app running with sufficient capacity," explained Williams.

威廉姆斯解释说：“今天，如果您想构建一个社交媒体应用程序，则需要筹集数百万美元的风险投资，雇用一支在Node.js中代码的10个开发人员的团队，以每秒500,000个请求部署到AWS Lambda，并每年支付100万美元以保持该应用程序以足够的能力运行。”

But in the future, according to Williams, users will simply describe what they want to an AI, and the Internet Computer will build and host the app, providing a simple URL like 'mysocial.iota' for users to access it.

但是，根据威廉姆斯的说法，将来，用户将简单地描述他们想要的AI，而Internet计算机将构建和托管该应用程序，并提供一个简单的URL，例如“ mySocial.iota”，供用户访问它。

This vision is already being demonstrated through Caffeine, an internal DFINITY project that enables users to build applications in real-time through conversation.

该愿景已经通过咖啡因（Caffeine）证明，咖啡因是一个内部dfinity项目，使用户能够通过对话实时构建应用程序。

Whether it's a private family photo-sharing app or enterprise-grade Customer Relationship Management (CRM) software, Williams explained that in around a year, users will be able to speak to the AI, and the AI will build the application.

无论是私人家庭照片共享应用程序还是企业级客户关系管理（CRM）软件，Williams解释说，大约一年后，用户将能够与AI交谈，AI将构建应用程序。

"Retail users today have no chance of creating their own social media. But this is going to be huge. Self-writing makes that possible," Williams said.

威廉姆斯说：“如今，零售用户没有机会创建自己的社交媒体。但这将是巨大的。自我写作使得这是可能的。”

He added that entrepreneurs will no longer need to hire consultants, negotiate Software as a Service (SaaS) licenses, or even raise venture capital.

他补充说，企业家将不再需要雇用顾问，谈判软件作为服务（SaaS）许可证，甚至提高风险投资。

"If you're an entrepreneur, now you don't need funding. You just talk to the AI. You might say, 'I want to make an app to help people visualize their family photos over the past 20 years, starting with an input of a family email alias and an Apple Photos account.' And the AI will build it, providing you with a URL to share with your family members."

“如果您是企业家，现在您不需要资金。您只需与AI交谈。您可能会说，'我想制作一个应用程序，以帮助人们在过去20年中可视化他们的家庭照片，从家庭电子邮件别名和Apple Photos帐户的输入开始。” AI将构建它，为您提供与家人分享的URL。”

However, today's AI systems are typically used to assist developers in a hybrid fashion. They can generate code snippets, answer programming questions, and even debug existing code.

但是，今天的AI系统通常用于以混合方式帮助开发人员。他们可以生成代码段，回答编程问题，甚至可以调试现有代码。

But this assistance is still provided within the framework of a central system, such as OpenAI's ChatGPT or DeepMind's PaLM 2, which are running on centralized cloud providers like AWS or Google Cloud.

但是，这种帮助仍然在中央系统的框架内提供，例如Openai的Chatgpt或DeepMind的Palm 2，它们在AWS或Google Cloud等集中式云提供商上运行。

This model keeps the core logic of applications, usually written in a programming language like Node.js or Python, and the state of applications, like user data or game assets, separate.

该模型保留了应用程序的核心逻辑，该应用程序通常用Node.js或Python（例如Node.js或Python）编写，并且应用程序的状态（例如用户数据或游戏资产）分开。

While useful for specific tasks, this approach has limitations, especially when it comes to large-scale, decentralized applications with billions of users and persistent state over long

虽然对特定任务有用，但这种方法有局限性，尤其是在大规模的，分散的应用程序中，具有数十亿用户和持久状态