ChainCatcher Space Text Content:

1. Hello Julian, could you please introduce yourself first?

Hello everyone, I am Julian, the CEO and co-founder of KIP Protocol. Speaking of my background, I can be considered an experienced internet entrepreneur. I started my first business in 1998, which was already involved in the Web1 internet. From 1998 to 2016, I founded and operated a series of internet companies. Around 2015 and 2016, I sold all the companies, which were mainly media-related, as the first wave of internet enterprises.

After that, I entered the venture capital (VC) and private equity (PE) industry, focusing on investments in Web3, robotics, and AI fields. In fact, the predecessor of KIP Protocol was an AI consulting company mainly engaged in big data analysis consulting services. While providing AI project consulting for clients, we discovered some market opportunities and blank spots.

Additionally, we found some urgent issues in the market that threaten the common interests of all humanity. This is why we are promoting the decentralization of AI. KIP Protocol was essentially created to address the current problems we believe must be solved.

2. As we all know, KIP Protocol is the first decentralized Web3 underlying protocol dedicated to AI, focusing on data and intellectual property protection in the AI field. How does KIP Protocol understand the current "Crypto+AI" environment and the increasingly severe data security issues in the AI field?

Because we see the threats facing the market, we want to create an institution, not just a company. Through this institution, we hope to make more people aware of the current dangerous situation. Basically, every time a large AI company (such as OpenAI) releases a new model, it always triggers a wave of hot topics and widespread attention. People are often amazed by the power and innovation of these new technologies. However, these large models are basically trained using our collective knowledge.

This was relatively unknown a few years ago, but now more and more people are starting to sue companies like OpenAI and Google, and public awareness is gradually increasing. If you have posted any content on the internet before 2022, this content may now be included in the training data of GPT-4. This means that our collective knowledge and personal knowledge have been privatized and used to train these private models. These models are then commercialized in various ways, such as charging a $20 monthly subscription fee.

Setting aside this smaller unfairness, the biggest danger comes from the widespread application of these large models. Large companies will inevitably apply these models to all available scenarios, and as the scale of the models expands, their training and inference speed and capabilities continue to improve. As a result, small companies will find it increasingly difficult to keep up with this rapid development. Although the entire AI industry is still in its early stages, monopolistic forces have already begun to emerge.

We believe that the core of AI lies in data. Without data, AI cannot continue to progress or demonstrate its amazing innovative achievements. The reason why large companies have reached their current status is due to what we call "data knowledge plunder." Before the AI era, most people did not realize the enormous technical and economic value of their data to AI.

Therefore, it is first necessary to recognize that our data should be given ownership. We should hold ownership of our data, clearly stating that this data belongs to us and taking protective measures. If others wish to use this data, it is not entirely impossible, but it cannot be done through theft or seizure.

One of the cores of KIP Protocol is to focus on data. We are committed to serving three parties, which will be explained in detail later. One of the parties is the data party, namely the data owner. So, who are the data owners? In fact, it is all of us. As long as you have any activity on the internet, you are a data owner because you create new data every day. Whether it is data generated through daily internet activities or high-value data created by writing articles or conducting research as an expert in a certain field, these things that can create economic value in AI applications should be protected.

To achieve this protection, we use decentralized Web3 technology. The key to Web3 is ownership. We hope to handle data in the same way, ensuring that data ownership is reflected. KIP Protocol provides a series of tools and contracts, as well as an interactive system, to connect these AI assets and ultimately create economic value in the AI field. By deploying data on Web3, we can ensure the ownership and protection of data, enabling it to generate the maximum economic benefits in AI applications.

3. In KIP Protocol's white paper, we see that KIP aims to solve the core issues of data interoperability, income monetization, and digital property protection between on-chain and off-chain, which are also the focus of current user attention. Can you explain the principles and what KIP can bring and achieve for users?

The three core elements that KIP Protocol focuses on are models, apps, and data. For example, suppose you have a university textbook with intellectual property (IP) and authoritative knowledge. We can place this textbook in a knowledge base, which is one part. Then, we use a model to process this knowledge, which is the second part. The third part is an app that can help students answer questions or generate exam papers using this textbook. By connecting the knowledge base of the textbook, the model, and the app, a complete AI product is formed. In a non-monopolistic, independent, open, and fair competitive environment, the companies that own the knowledge base, develop the model, and create the app are usually different entities because these tasks require different professional skills and resources. So, how can these three different industry companies or individuals collaborate to create economic value?

First, they need to be connected. Once connected, they can all share a portion of the revenue from user payments. Users obtain answers by using this AI product, and the revenue for the three parties comes from user payments. Therefore, the first problem we need to solve is the deployment of these AI assets on Web3 so that each party can retain its ownership.

After deployment on Web3, there are some technical issues. The first technical issue is how to connect the data. We use SFT (securitized token) in EC3525 format to represent and protect these AI assets. These assets need to be connected, able to interact, and produce answers. At the same time, we also need to address the issue of revenue distribution.

So, there are two problems we need to solve: the first is the interaction problem, and the second is the revenue problem. The revenue problem can be further divided into three sub-problems.

How to record the interaction between these AI assets: For example, when a user asks a question through the app, the app passes the question to the model. After reading and understanding the question, the model extracts the required data from the external knowledge base, generates an answer, and returns it to the app, which then provides the answer to the user. This is a complete interaction process, and each step needs to be recorded.

How to settle: After recording the interaction, the contributions of the app, model, and knowledge base need to be detailed and settled to determine the respective earnings.

How to distribute income: After recording and settling, the income will be distributed to the model designer, data owner, and app developer. This way, all participants can fairly share the user's payment fees.

In addition, there is an important issue of ownership and security. While Web3 technology itself addresses the issue of ownership, security still needs attention. Our clients have different needs, with some having high requirements for data security because they deal with private data, intellectual property data, or confidential data. Others may have relatively lower data security requirements because they deal with public data.

KIP Protocol can ensure that the user's knowledge base can freely interact with the model and app. After the interaction, these processes will be recorded in detail, settled, and ultimately generate income. Our approach is to solve the issues of interaction, settlement, and income distribution through this complete framework, ensuring the ownership and security of data. This allows our platform to enable different companies or individuals to collaborate and create economic value in a fair and open environment.

4. In the product design of KIP Protocol, how do you balance the interests of AI app developers, data owners, and AI model designers? How can you better incentivize more AI value creators to participate in your ecosystem? Do you have roles similar to validators to supervise and constrain them?

First, in terms of how the benefits are distributed, to ensure fairness, each independent asset should have its own pricing. For example, if I am a user with intellectual property (IP), and I have a textbook, then in the AI application, each answer should have a price. This model is called "pay-per-answer," meaning each answer has a cost.

Specifically, the core payment model for AI is pay-per-answer, as running the model consumes resources such as GPUs, so generating each answer involves resource consumption. In this pay-per-answer framework, whether you are a data provider, model owner, or app developer, the core is to operate commercially within this framework, and the price of each answer needs to be clearly indicated.

To illustrate with a simple example:

• The IP owner of the textbook sets the price for each answer at $1.
• The model owner's model usage is also priced at $1 each time.
• The app developer believes they provide a high-quality user interface and user experience, so they also price each answer at $1.

If these three parties collaborate to create a complete AI product, the total price for users to obtain answers each time would be $3. Of course, this is just a simple example. In reality, the pricing of the textbook needs to consider market competition factors. Market competition will affect pricing, and prices are determined by market effects.

It is important to emphasize that this pricing mechanism is not determined by any single platform, especially in a decentralized environment. We cannot dictate how much an asset is worth, as doing so would violate the principles of decentralization. Therefore, we need a framework to support and drive the operation of the market economy.

In a decentralized system, user protection and quality assurance are also important issues. In practice, our technical team uses various different models for development. We have found that different team members have different preferences for the results generated by different models. Therefore, for subjective issues, we believe the market can self-regulate. However, for some objective issues, such as intellectual property ownership, stricter mechanisms are needed for management.

In this environment, we have introduced a coin-locking mechanism to increase the credibility of participants in the network. If you are willing to lock coins, it indicates that you are responsible for your contributions and the answers generated. For acts of counterfeiting or misappropriating someone else's IP, we have a strict complaint and penalty mechanism. If someone discovers that a participant has misappropriated someone else's IP, they can file a complaint. Once the complaint is upheld, the coins locked by the participant may be confiscated or fined. Our goal is to ensure that everyone can receive the economic benefits they deserve in the world driven by AI. If you plunder someone else's economic benefits, we will protect the rights of the victims through fines and other means.

5. According to the roadmap, KnowledgeFi will also be launched to the market in the second quarter of this year. As the first DApp on KIP Protocol, users are also looking forward to it. Can you briefly introduce the functions that KnowledgeFi will achieve? How will this DApp empower KIP Protocol?

KnowledgeFi has actually evolved from our plans. We plan to develop a DApp to showcase the potential of KIP Protocol, specifically how knowledge can be monetized through the "pay-per-answer" economic framework. Currently, we are collaborating with Open Campus to explore the application of blockchain technology and artificial intelligence in the education sector. The platform will involve professors and educators, with the main idea being to provide more economic opportunities for educators through Web3 technology, addressing the current lack of economic returns in the traditional education system.

For example, if a professor writes a textbook, they can upload its content to the knowledge base, and all content can be found on Open Campus University. Through the "pay-per-answer" framework, users do not need to purchase the entire textbook; they can simply ask the textbook a question and pay the corresponding fee to receive the answer. This applies not only to textbooks but can also be extended to other supplementary reading materials and articles, forming a comprehensive knowledge base.

Currently, knowledge monetization mainly consists of three methods: fixed-format sales, subscription models, and selling time. Therefore, we hope to pioneer a new knowledge monetization model. The fourth model we propose, "pay-per-answer," is an innovative knowledge monetization model based on AI. This model does not require the purchase of fixed-format knowledge products or the payment of high lecture fees; instead, payment is based on each answer.

We are currently working with Open Campus University to introduce this new business model into the education sector through the KnowledgeFi system. We are also in discussions with certain national-level institutions, aiming to bring new business opportunities and sources of income to the education sector through this innovative model, attracting more people to engage in the field of education. This collaboration is significant for us, not only because it drives the innovation of knowledge monetization models, but also because it provides new possibilities and innovative pathways for education.

6. Last month, the KIP Protocol Genesis NFT Mint event was very successful, quickly minting out in a short period of time. The official website also announced that the airdrop for Season 2 is coming soon. Can you reveal what other community incentive plans KIP will have in the future? What considerations does KIP Protocol have in terms of partnerships?

Since the beginning of the year, we have been organizing this community activity. With the trust of everyone, our community has grown rapidly. A few weeks ago, we launched the Genesis NFT Mint, which received a great response. Our Season 2 airdrop event is about to start, and we have prepared a more extensive plan with increased rewards for the second season.

We will then collaborate with Mocaverse, and specific details may be announced soon. This collaboration model is similar to our collaboration with major projects such as Animoca, aiming to become their official AI partner, deeply understanding their business, and assisting them in achieving project goals more quickly using AI technology. We have many partners for the second season of activities, and they will be gradually announced.

7. We know that computing power, data, and models are the three major elements of AI. You mentioned your collaboration with Aethir. How do you view the current development status of decentralized computing power networks and decentralized computing, and how do you view the future development of this track?

Currently, computing power is facing a situation of supply shortage, prompting many creative companies to propose solutions to alleviate this situation. For example, Aethir uses institutional-grade computing power, centralizing the management and distribution of computing power in data centers, allowing ordinary users to use it. Additionally, we have recently collaborated with another company that focuses on using gaming GPUs (mainly GPUs used for gaming in personal computers), which have computing capabilities similar to those required for high-performance computing.

The market efficiency is relatively low at present, with sometimes an oversupply of computing power and sometimes shortages. In this situation, many companies focusing on computing power have proposed various unique solutions. We believe that it is very important to collaborate with these companies, especially in the current situation of supply shortage.

Long-term solutions to the shortage of computing power mainly rely on the improvement of hardware production capacity. For example, if NVIDIA can significantly increase its output, or if a strong competitor emerges in the market, this will help alleviate the current supply and demand tension. In this case, the market landscape will also change accordingly.

We are very willing to collaborate with companies that have strong computing power resources. We are confident in our ability to address the issue of insufficient computing power because we know that many smart and technically proficient teams are actively addressing this challenge. Through collaboration with these teams, we can jointly drive technological progress and ensure that our projects are fully supported in terms of computing power needs.

The customers of computing power are the models, the customers of the models are the apps, and the application scenarios are implemented by app developers. KIP Protocol is very focused on market development activities this year, especially in the app area. We realize that while data is important, our current focus is on supporting and promoting the development of AI applications. This is because AI applications are the direct customers of the models, and the models are the direct customers of computing power.

8. In addition to the data field, will you consider entering the AI Agent field in the future? A powerful Agent can receive, interpret, and execute various user requests, and Crypto provides the Agent with a permissionless and trustless payment infrastructure, but it also brings more complex issues. I would like to know some of your thoughts on this.

The AI Agent is a very interesting direction for development. In our team's thinking and framework, we view the AI Agent as a type of app. This is because we can simply think of the app as a robot whose core purpose is to provide instructions to the model. Although the AI Agent belongs to a category, it is actually a set of independent services. We believe that they should be divided into different groups based on the content and functionality of the services. For example, I have an AI Agent that is my personal assistant. In this concept, the AI Agent will help me automatically perform some tasks, but it does not contain reasoning capabilities itself. Therefore, in our development process, we will focus on specific industries, such as the education industry. We will consider what AI Agents might exist in the education industry and what business and application scenarios they might have. We will not only consider the overall perspective of AI Agents, but rather start from the specific industry's needs and application scenarios, as application scenarios are indispensable.

About KIP Protocol

KIP Protocol builds a Web3 underlying protocol for AI app developers, model creators, and data owners, enabling AI assets to be easily deployed and monetized while retaining complete digital property rights.

KIP will construct a brand-new AI business ecosystem to address the issues and challenges faced in decentralized AI deployment, ensuring that everyone can enjoy the economic benefits brought by AI.

The KIP team consists of senior PhDs and technical experts dedicated to AI research since 2019, with deep professional backgrounds and rich experience in the Web3 field, committed to driving decentralized AI and becoming an accelerator for the decentralized AI wave.

For more information, please join the official Chinese community: https://t.me/KIPProtocol_CN

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。