Dfinine的首席執行官兼首席科學家多米尼克·威廉姆斯（Dominic Williams）擁有20多年的經驗，一直處於區塊鏈創新的最前沿

作為Internet計算機協議（ICP）的創始建築師，他領導了區塊鏈中最先進的團隊之一

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的首席執行官兼首席科學家Dominic Williams分享了他對Internet計算機協議（ICP）如何改變區塊鏈技術的敘述的見解。

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的採訪中，威廉姆斯（Williams）擁有20多年的計算機科學經驗，強調了ICP獨特的技術功能，其中包括在鏈上運行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.

``有很多人在談論鍊鍊AIS，但他們的意思是在Amazon Web服務上運行的AI，在鏈上有一個令牌。那不是我們在做的。我們正在運行實際的AI模型作為智能合約，”威廉姆斯說。

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.

這種功能需要重新思考區塊鏈的工作方式。儘管大多數鏈條優先考慮令牌轉移或智能合約執行，但必須構建ICP，以處理在分散環境中AI模型的連續實時操作，而不依賴AWS等集中數據中心。

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

這使它們可驗證，耐心，最重要的是，毫無信任。

"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.

威廉姆斯解釋說：“如果您在AWS或任何集中式的雲提供商上運行AI，則可以創建一個可以審查或關閉應用程序的守門人。但是在Internet計算機上，沒有一個單一的實體在控制中。”

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.

該設計還為新的互聯網體系結構奠定了基礎，雲提供商不守門。在AWS或任何集中式雲提供商上運行AI，通過允許對基礎架構進行第三方控制，從而引入了看門風險，理想情況下應該分散並耐心地進行審查。

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

威廉姆斯斷言：“我們從根本上轉移了互聯網運作方式的模型。”

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，這種技術創新只是難題的一部分。根據威廉姆斯的說法，人工智能（AI）的引入是一個更加緊迫的因素，它將決定加密的命運。

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

威廉姆斯說：“加密必須用武力改變。我認為AI是改變加密貨幣的力量。”

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.

作為Internet計算機協議的創始建築師，該團隊正在由一個在任何網絡上工作的PHD數量最多的團隊開發，因此威廉姆斯分享了他對區塊鏈技術未來的願景。

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）擁有20多年的計算機科學經驗，還是Dfinity的首席執行官，Dfinity是一個非營利基金會，旨在構建Internet計算機，這是一種分散的雲體系結構，旨在託管開放和模塊化應用程序。

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.

在採訪中，威廉姆斯探索了一系列主題，包括“自寫”互聯網，任何人都可以通過與AI聊天來構建全棧應用程序。

"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.

威廉姆斯解釋說：“今天，如果您想構建一個社交媒體應用程序，則需要籌集數百萬美元的風險投資，僱用一支在Node.js中代碼的10個開發人員的團隊，以每秒500,000個請求部署到AWS Lambda，並每年支付100萬美元以保持該應用程序以足夠的能力運行。”

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，根據威廉姆斯的說法，將來，用戶將簡單地描述他們想要的AI，而Internet計算機將構建和託管該應用程序，並提供一個簡單的URL，例如“ mySocial.iota”，供用戶訪問它。

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

該願景已經通過咖啡因（Caffeine）證明，咖啡因是一個內部dfinity項目，使用戶能夠通過對話實時構建應用程序。

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.

無論是私人家庭照片共享應用程序還是企業級客戶關係管理（CRM）軟件，Williams解釋說，大約一年後，用戶將能夠與AI交談，AI將構建應用程序。

"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.

威廉姆斯說：“如今，零售用戶沒有機會創建自己的社交媒體。但這將是巨大的。自我寫作使得這是可能的。”

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

他補充說，企業家將不再需要雇用顧問，談判軟件作為服務（SaaS）許可證，甚至提高風險投資。

"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."

“如果您是企業家，現在您不需要資金。您只需與AI交談。您可能會說，'我想製作一個應用程序，以幫助人們在過去20年中可視化他們的家庭照片，從家庭電子郵件別名和Apple Photos帳戶的輸入開始。” AI將構建它，為您提供與家人分享的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系統通常用於以混合方式幫助開發人員。他們可以生成代碼段，回答編程問題，甚至可以調試現有代碼。

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，這種幫助仍然在中央系統的框架內提供，例如Openai的Chatgpt或DeepMind的Palm 2，它們在AWS或Google Cloud等集中式雲提供商上運行。

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.

該模型保留了應用程序的核心邏輯，該應用程序通常用Node.js或Python（例如Node.js或Python）編寫，並且應用程序的狀態（例如用戶數據或遊戲資產）分開。

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

雖然對特定任務有用，但這種方法有局限性，尤其是在大規模的，分散的應用程序中，具有數十億用戶和持久狀態