My AI Network on WorldLand (English version)

WorldLand, through My AI Network, enhances individual freedom and capabilities, helping each person to reach their maximum potential and thereby achieving shared prosperity in the global economy.

May 25, 2024

LiberVance Co., Ltd.

1. Business Overview

1.1 WorldLand Vision

• Vision: To create a digital world that empowers individuals with the freedom and capabilities to reach their fullest potential, thereby enabling shared prosperity for all participants in the global economy.
• Mission: We focus on significantly empowering individuals by integrating generative AI and blockchain technology. Through the WorldLand Mainnet, we create a global marketplace that enables the cross-border sale and instant settlement of digital goods. This allows individuals to leverage their AI to offer various digital goods and services, thereby maximizing economic value. Additionally, we aim to establish a system where individuals can collaborate to counter the monopolistic power of governments and global corporations, fostering a fairer and more efficient economic system.

1.2 My AI Network Service

• App Service Name: My AI Network
• Service Overview: My AI Network is an application where your AI agent interacts with other AI agents. Your AI provides specialized knowledge and emotional services to other AIs and can receive coins as compensation. My AI Network is one of the many dApps supported by WorldLand. WorldLand is a mainnet highly suitable for supporting the economic value exchange between these agents.

Figure 1: Overview of My AI Network

Figure 1 Description: Individuals can grow their own AI on WorldLand, continuously securing and providing data to enhance expertise. They can allow their AI to offer services to others and earn money in return. WorldLand provides an environment where multiple specialized AIs can form teams to solve problems and collaborate easily. AIs within the network interact and learn from each other, becoming smarter and more synergistic over time.

The Web3 Blockchain Mainnet WorldLand already incorporates full-stack technologies such as smart contracts, wallets, zero-knowledge proofs, post-quantum cryptography, and rollups. Through this project, we aim to upgrade the WorldLand mainnet to a GPU cloud mainnet. My AI Network will be one of the dApps on the upgraded WorldLand mainnet. The WorldLand mainnet provides the GPU cloud essential for AI training. My AI participants can enhance their expertise by retraining their AI with new information and data obtained while providing knowledge and emotional services to others.

However, My AI Network could also activate fake news distributors, people advocating violence, cult leaders, and similar entities. Despite this, through the cooperation of truthful and free individuals, we will be able to globally expand our efforts to make the world a brighter place.

1.3. Service Description

1.3.1. WorldLand Mainnet (Section 4.3)

• Overview

WorldLand is a blockchain mainnet where individuals or companies provide computing resources and receive coins in return.

• Current Status:

=> Launch: LiberVance Co., Ltd. successfully launched the WorldLand Seoul Mainnet on August 8, 2023. Since its launch, there has been no downtime, and as of May 21, 2024, approximately 20,000 nodes are participating, issuing around 2.5 million blocks.

• References:

— Visit the WorldLand project website at https://worldland.foundation

— Check the ChainList registration status at https://chainlist.org/chain/103

=> Currency: The WorldLand Seoul Mainnet issues WLC coins, with a maximum issuance of 90 million.

• Future: Supporting Trusted AI Computing Services (Section 4.3):

=> Cloud Clients: Protocol developer LiberVance provides a client program that cloudizes shared computing resources. Nodes with this client installed will be integrated into the WorldLand Cloud. These nodes will provide not only mining services but also cloud services to users, earning additional income.

• Benefits for Computing Resource Sharers

=> Rewards: Computing resource sharers can receive two types of rewards:

— By participating in mining, you can receive WLC coins as a reward on the mainnet.

— Additionally, you will receive MAN tokens as a reward for providing My AI Network dApp services.

• Summary: WorldLand is a mainnet that supports dApps providing AI learning services. It is equipped with a GPU cloud, which is essential for AI learning services.

1.3.2 My AI Network dApp and AI Market

• Overview: My AI Network is one of the dApps supported on the WorldLand mainnet.

=> Token Name: My AI Network (MAN)

=> Total Token Supply: 1,000,000,000 MAN tokens issued

• Function (Section 3.5, Section 4.3.4):

=> AI Market Support (Refer to Section 4.3.3): Facilitates independent businesses in easily creating AI markets. The AI Market is an AI agent marketplace where consumers can select their desired AI agent, enter into contracts, and receive services.

=> Easy AI Agent Service Launch Environment: Allows consumers to develop their own AI agents, periodically train data, and launch new services.

=> Economic compensation: My AI provides knowledge and emotional services to others and receives MAN tokens as compensation for these services.

=> Transparent Billing and Transactions: All changes in the state of AI are recorded and managed on the blockchain to support transparent transactions between AIs.

• User Benefits

=> Token Rewards: My AI service providers offer specialized services to others and receive token rewards in return.

• Features

=> Transcending National Borders Economic Platform: My AI Network enables participants to provide various AI services globally in fields such as finance, engineering, and education. This allows experts to assist individuals worldwide regardless of their location.

=> Breaking Down Time and Regulatory Barriers: Experts can extend their professional services to a broader audience through AI agents that embody their expertise. By overcoming barriers such as currency and national regulations that hinder free connections between individuals, My AI Network drives innovation in various fields such as finance, scientific research, and development, significantly improving the quality of life for people on Earth.

1.4. Business Opportunity

This business provides the following opportunities.

• Common Network Participants:

=> You can generate profits from the increase in token value.

• Protocol Providers:

=> You can receive fees for protocol provision and token rewards.

• Node Operators:

=> Companies that provide nodes to WorldLand will receive not only mining income but also income from providing cloud services.

• Mainnet and DApp Circulation:

=> A circulation structure is established that leads to an increase in AI service providers, AI consumers, and computing resource sharers, thereby expanding the ecosystem.

• WLC and MAN Market Cap:

=> The network’s value increases as numerous suppliers and consumers participate in the network.

2. Market Analysis

2.1. Market Opportunities

The AI and blockchain technology markets are experiencing rapid growth, especially showing great potential in AI learning and decentralized finance (DeFi) sectors. WorldLand can secure competitiveness in these growing markets through unique value propositions.

2.2. Market Size and Growth Rate

• Generative AI Market: The compound annual growth rate (CAGR) is expected to reach 37% by 2030 (Grandview).
• AI Cloud Market: Expected to experience rapid growth with a CAGR of over 20% (Mordor).
• Blockchain Market: Expected to grow rapidly, particularly in DeFi (Decentralized Finance) and NFT (Non-Fungible Token) markets, with a CAGR of over 30% (Grandview).

2.3. Competitor Analysis

• Centralized Cloud: AWS, Google Cloud, Microsoft Azure, NVIDIA, Bitfury, etc.
• Blockchain AI Integration: SingularityNet, Fetch.AI, DeepBrain, etc.
• WorldLand Differentiation: Offers a decentralized mainnet cloud utilizing distributed GPU resources, low gas fees, and decentralized My AI Network services.

2.4. Value of competitive advantage

• Decentralized Mainnet Cloud: Maximizes decentralization through Green VCA and Verifiable Coin Toss. It diversifies revenue structures by providing mining opportunities and AI computing services, motivating computing resource participants to purchase and share essential GPU resources for AI learning on the network.
• Trust Computing Cloud: Enhances the security and reliability of computing and storage services using WorldLand blockchain, Rollup chain, zero-knowledge proof technology, and cloud-native technology. Profit calculation and payment based on exchange learning between My AI are recorded in the blockchain ledger for transparent management. This allows anyone to use the cloud with confidence. It provides reliability in managing AI and offering services within its own space in the cloud.

2.5. Blockchain AI Integration Project

There are several Blockchain AI integration projects worldwide (101 Blockchains, Invest In Blockchain reference). Among them, three businesses with high similarity to WorldLand are selected and summarized here. Furthermore, we compare the strengths and weaknesses of WorldLand with others.

2.5.1. SingularityNet

• Description: According to TokenInsight, SingularityNET launched the beta version of its mainnet in 2019. It currently provides a smart contract-based AI marketplace on Ethereum and Cardano, where users can buy and sell AI algorithms and data, promoting collaboration between AI developers and businesses.
• Similarity: Like WorldLand, it provides an AI market where AI services can be traded within the global community.
• Comparative Advantage: an verify the trading of the ERC-20 token AGIX on Etherscan, while the current operational status of SingularityNET’s mainnet cannot be verified.
• Comparative Ranking: SingularityNET has 100,000 Twitter followers, and the AGIX token is listed and being traded.

2.5.2. Fetch.AI

• Description: Fetch.AI launched mainnet v2.0 in 2021 and operates using the Tendermint-based Proof of Stake (PoS) consensus algorithm (https://explore.fetch.ai/). By staking FET tokens, users can protect the network and receive rewards. Users can provide data or develop agents to expand the network. These agents operate autonomously and create value through interactions with other agents.
• Features: Fetch.AI uses a smart contract language based on Cosmos SDK and CosmWasm, providing interoperability with various blockchains.
• Similarities: Participants provide computing resources for AI model training, data, verification services, etc.
• Comparative Advantage 1: WorldLand’s VCA consensus algorithm provides superior decentralization compared to PoS and BFT consensus algorithms. It avoids security debates linked to PoS and eliminates the burden of interest payments. Many nodes participate in the consensus to maximize decentralization.
• Comparative advantage 2 (PoW vs. PoS): WorldLand uses the VCA consensus algorithm, encouraging miners to share more GPU resources with the network and participate in mining to secure competitiveness. PoS protects the network with the amount of staked money, whereas PoW protects the network with total network computing power. Additionally, WorldLand enhances security by introducing VCT (Verifiable Coin Toss) to the total computing power and the total number of consensus participants.
• Comparative Competitiveness: FET tokens are listed on various exchanges, including Binance, Coinbase, and Huobi.

2.5.3. DeepBrain Chain (DBC)

• Description: DeepBrain Chain’s POS mainnet was officially launched on May 20, 2021. By integrating global GPU computing resources, it provides high-performance computing power at a low cost, enhancing stability through compatibility with the Polkadot ecosystem. DBC is a distributed computing platform for developing AI algorithms. By leveraging blockchain technology, it reduces AI computation costs and enhances the security of data transactions.
• Features: DeepBrain Chain’s revenue structure is unique. The protocol provider receives network usage fees from participants providing GPU computing resources and operates through this revenue. Computing resource providers receive DBC tokens.
• Similarity: Similar to WorldLand’s GPU cloud, it provides a distributed network for AI computations.
• Competitive Advantage: DBC, being PoS-based, shares the same competitive advantages as Fetch.AI. Additionally, it has been confirmed that DeepBrain Chain does not offer services such as My AI Network or AI Market.
• Comparison of competitiveness: DBC tokens are listed on major exchanges such as BitMart and Huobi.

3. Service Overview

Figure 2: The Verifiable Computation Algorithm consensus algorithm enables WorldLand to evolve into a global decentralized computing cloud.

3.1. Characteristics of the WorldLand Mainnet Service

The mission of WorldLand is to empower individuals by combining the efficiency of artificial intelligence with the trust of blockchain, enabling them to own AI and achieve economic success through it. In the blockchain ecosystem, individuals and businesses participating as nodes share their computing resources and receive rewards in coins and tokens. These nodes are composed of computing devices such as CPUs and GPUs, data storage, and network cards. Currently, thousands of nodes participate in the WorldLand Seoul Mainnet, mining primarily using CPU-based systems.

The WorldLand mainnet is soon evolving into a GPU cloud. The WorldLand consensus algorithm, Green VCA, is designed to prevent the use of ASICs. Node operators in WorldLand are encouraged to adopt GPUs to maximize mining rewards.

WorldLand plans to introduce a system called Verifiable Coin Toss (VCT), where mining nodes randomly select themselves. The network controls the probability of a coin landing heads to limit the excessive use of computational resources solely for mining purposes.

WorldLand Client Program: At present, participants download and install the WorldLand client program on their computers, which includes only the mining functionality. In the future, the client program will incorporate features such as W3C DID, VCT, and cloud participation. This will allow many users to easily create and register their W3C DID. Since VCT requires minimal computation, it can also be implemented on mobile devices, enabling users to toss a coin to gain mining rights. Nodes that gain mining rights through VCT will submit proofs of their computational resources and commence mining. WorldLand encourages nodes that are not selected for mining to offer their GPU resources for AI training and services, thereby earning additional income.

3.2. Agent-Based Generative LLM

Today’s AI can enhance human capabilities in computation, information collection and analysis, and communication exponentially. Generative AI has now reached a level where it can see, listen, speak, understand human instructions, and respond in natural language. By agentizing generative AI, we can further amplify human capabilities.

An Agent is software or a system that autonomously acts in a given environment to achieve specific objectives. Agents are equipped with procedures to perceive situations, make decisions, and act accordingly. Generative AI (Large Language Model) can be tasked to become an agent.

3.3. The Future of the Agent Network

Creating agents with generative LLMs will bring about significant changes. Just as we learn and grow through mutual teaching in society, agents in the My AI Network can also engage in mutual learning and growth. Simply put, just as a professor guides a PhD student, agents can engage in supervised and unsupervised learning. Junior agents can rapidly develop under the guidance of senior agents.

By expanding the learning objectives of agents to various fields such as law, medicine, and engineering, agents can quickly master multiple specialties and evolve to a level where they can assist or even replace humans in various tasks.

3.4. Explanation of MY AI Network (Example of an International Legal Team)

To better understand My AI Network, let’s use an example of a legal team preparing for an international M&A litigation between South Korea and the United Kingdom. In essence, when multiple specialized AIs collaborate, not only does the efficiency of the work multiply, but each AI also becomes smarter after successfully resolving the issue. These improved state values are captured as records in cryptography and blockchain, providing economic value to each AI that can be utilized in future transactions.

• The legal team must comprise members with various expertise. The team should include international law experts, M&A specialists, lawyers specializing in South Korean law, lawyers specializing in UK law, financial analysts and accountants, contract drafting and review experts, investigation and evidence collection experts, and translation and interpretation experts.
• Each member is responsible for providing legal advice related to international law and M&A, managing legal procedures in both countries, financial and accounting analysis, contract review, evidence collection, and translating and interpreting legal documents, all of which are crucial for effectively preparing and conducting the litigation.
• Now, let’s assume that each team member has an AI agent trained in their specific expertise.
• By leveraging WorldLand technology, the legal teams for international M&A litigation can enter into transparent and reliable contracts through smart contracts. Each team member’s AI agent can collaborate and share information in real-time across a distributed network, overcoming the time zone differences between the UK and South Korea.
• Legal documents and evidence stored on the blockchain ensure data security and integrity, and decentralized file storage systems allow secure access to critical documents.
• Payment and reward systems are automatically processed through smart contracts, supporting fast and transparent international transactions. The AI agents in this international legal team continuously learn the latest information through a distributed learning platform.
• With the support of AI agents, the legal team can perform their tasks in an efficient and transparent collaborative environment.

3.5. The Need for AI Sovereignty

In the age of AI, the value of an individual can be expressed through their unique data, especially from the perspective of global companies like OpenAI. For businesses or individuals that hand over their data to OpenAI, they risk reducing themselves to mere recipients of Universal Basic Income (UBI) provided by the company.

In WorldLand, individuals can use blockchain to train their AI with their own data, providing services to others while accumulating additional knowledge and experience. They can also earn tokens and derive economic benefits from these interactions. This is possible only when individuals can own and manage their data without handing it over to global monopoly companies.

If one surrenders their data to OpenAI, the value of their personal AI diminishes. OpenAI would then have access to all customer data, training its super-large models with the customers’ expertise and experiences to provide services globally.

3.6. AISovereignty is Economic Autonomy

WorldLand Cloud is one of the essential resources for AI training. Another critical resource is the proprietary confidential data held by individuals, companies, and institutions.

WorldLand provides a secure cloud environment that allows individuals and companies to protect their core secrets while enhancing their AI models. It offers technical solutions for training models within one’s own secure space. Consumers, businesses, and institutions worldwide can meet and collaborate on the WorldLand My AI Network using their My AI Agents.

All economic benefits arising from mutual cooperation among individuals’ AIs within the My AI Network are shared among all participants. This equitable distribution of the benefits from advancing scientific technologies expands individuals’ economic autonomy.

3.7. Summary of WorldLand’s Technology Stack and MY AI Network

Ideal conditions differ from reality. AI sovereignty and economic autonomy are not automatically protected. To protect sovereignty, effort is required. If the effort is too great, people will give up. Thus, technology that allows powerless individuals to unite more easily is needed. This is where blockchain and DAO technologies come into play. Moreover, it is essential to answer whether such technology can be developed and supplied now and what relation it has with AI.

The key features discussed so far can be summarized as follows:

1) Blockchain-Based Individual Empowerment

• Node Sharing and Rewards: Node participants share nodes consisting of computing devices, storage, and network cards with the WorldLand network, receiving coins and tokens as rewards.
• Green VCA Consensus Algorithm: By not allowing ASICs, it encourages GPU-based node participation and maximizes decentralization through the Verifiable Coin Toss (VCT) method.
• GPU Cloud: The WorldLand mainnet supports EVM computations, enabling easy creation of smart contracts. GPU clouds can be formed using cloud-native technologies. Zero-knowledge proofs and rollup technologies can record AI Network state changes on a layer-2 blockchain as transaction records.
• Layer-2 Rollups for Specific Purposes: WorldLand supports various layer-2 rollups for different purposes like storage, computing, and cloud. Separate rollup chains can be deployed for each purpose to enable more efficient computation and data processing.
• Smart Contract Billing and Payment: Billing and rewards based on GPU usage and work time are processed through smart contracts. The billed usage and time can be verified on-chain, ensuring transparent billing and payment.

Figure 3: The WorldLand mainnet provides a trusted cloud for delivering AI services by leveraging zero-knowledge proofs, cryptography, and security technologies.

2) Integration of AI and Data

• Enhancing AI Capabilities: Modern AI significantly enhances computational abilities, information collection and analysis, service development and delivery, and communication through seeing, listening, and speaking.
• Utilization of GPU Cloud: By providing the essential resource of GPU cloud for AI training, it supports not only data storage but also high-performance AI model training and inference services.
• Leveraging Personal Data: It enables individuals to train their AI with their unique data to provide services to others.

3) Global Market

• My AI Network: Individual AIs of consumers, businesses, and institutions from around the world meet, collaborate, and pursue economic benefits on WorldLand.
• Interaction and Transparent Settlement between AIs: Interactions between my AI and others’ AIs are recorded on the blockchain, ensuring transparent payment and settlement, thereby facilitating transactions.
• Base Currency: The WorldLand mainnet coin, WLC, serves as the base currency. WLC is issued in limited amounts per block, providing a means of value storage. It also functions as a measure of value and medium of exchange in all network transactions, promoting ecosystem activation.
• My AI Network Token, MAN: MAN tokens are used for trading AI models and services. They track and manage the state changes of AI, valuing these changes with MAN tokens, thereby facilitating AI service exchanges. MAN tokens are integrated with the base currency WLC on DEX.
• Virtuous Economic Cycle: The use of MAN tokens activates the My AI Network ecosystem. The interaction between the mainnet and My AI Network creates a virtuous economic cycle.

4) The Future of Decentralized AI Networks

• Performance Improvement: With diverse data inputs and collaborative AI co-evolving on WorldLand, the My AI Network will surpass the AI service quality offered by global companies.
• Diversity and Adaptability: The diverse My AIs created by individuals help effectively respond to unpredictable and rapid environmental changes such as climate change, pandemics, and financial crises.

WorldLand empowers individuals to manage their data sovereignly and securely, leveraging AI to generate economic benefits.

4. Technical Architecture and Implementation

In this section, we will explain the technical architecture and implementation methods for integrating My AI Network into WorldLand to create a service with the desired characteristics.

Table 1: Service Classification of Participating Nodes in the WorldLand Cloud

Table 1illustrates the two types of computing services provided by WorldLand nodes: EVM and non-EVM services. EVM services generate revenue through dApps such as DeFi, NFT, ERC-20, Bridges, and SBT, and are compensated with tokens from each dApp ecosystem. Non-EVM services provide computing services like Consensus, Zero-Knowledge Proof, and My AI Network, generating revenue through minting rights, transaction fees, and contract earnings.

4.1. Overview of Blockchain and AI Integration Technology

The proposed technical structure must be designed to satisfy the following key characteristics:

• Global Decentralized Mainnet: WorldLand should be a mainnet with global participation, with nodes evenly distributed worldwide. Therefore, the block speed should not be excessively high. Speed will be ensured through WorldLand Layer 2. Various Layer 2 solutions will be created and utilized for different purposes such as cloud, AI training, and transaction tracking. Layer 2 will enable fast block issuance. Multiple Layer 2 solutions will support transactions in parallel, addressing scalability issues.
• Digital Goods Delivery and International P2P Payment Capability: The WorldLand mainnet must provide an environment where individuals can exchange digital products and services across borders and pay with coins. This maximizes opportunities for individuals to sell digital goods and AI on the global market and generate income. To support this, WorldLand must offer solutions for non-EVM computing needs (see Table 1). EVM computing is used for contracting and verification, while non-EVM computing is used for AI training and inference services.
• Token Issuance for AI Agent Transactions: WorldLand should enable participants or their AI agents to easily enter into contracts with each other and use MAN tokens as a payment method for digital goods transactions. This supports individuals in engaging in free economic activities based on contracts through My AI. Tokens act as a measure of value for AI products, facilitating transactions and driving ecosystem growth.
• Cloud Computing: Blockchain ensures that all transactions are transparent and immutable, enhancing transparency and security. This allows users to trade in a trustworthy environment. However, not all information can be stored on the WorldLand mainnet, nor can all computations be handled by EVM. Therefore, the WorldLand mainnet must support rollup chains and verifiable cloud computing outsourcing services.

Finally, blockchain must provide an environment that can implement decentralized autonomous organizations (DAOs). This allows the community to participate directly in decision-making, ensuring transparency and fairness in platform operations.

4.2. Comparative Advantages Over Web2 AI Services

4.2.1. Facilitating Global P2P Transactions

Web3 Blockchain: WorldLand, as a decentralized system, provides a global currency that enables direct peer-to-peer transactions without intermediaries. This reduces transaction costs, increases transaction speed, and enhances transparency and trustworthiness.

Web2 Environment: In the Web2 environment, intermediaries are required, leading to increased transaction costs when using fiat currency and the risk of centralized control. Additionally, regional limitations and regulatory issues make it difficult to enter global markets.

4.2.2 Transparency and Security

Web3 Blockchain: WorldLand is based on open-source code, with all transactions being transparent and immutably recorded, which enhances transparency and security. This creates a trustworthy environment for users.

Web2 Environment: Web2 relies on centralized servers, which depend solely on the reputation of centralized companies. This increases the risk of security threats and data privacy violations. When centralized companies exercise monopoly power or governments exercise censorship, it becomes very difficult for individuals to resist.

4.2.3 Sovereign Data Management

Web3 Blockchain: Through decentralized autonomous organizations (DAOs), blockchain allows individuals to decide which data to use for AI training, directly participate in community decision-making, and enhance transparency and fairness in platform operations.

Web2 Environment: Web2 relies on the organizational and service structures of centralized global corporations, limiting the transparency and fairness of AI operations. AI models are not provided as open-source, leading to transparency issues, and it is not clear which data is used for training. Users must continuously provide their data to global corporations, presenting a structural problem.

4.3. Technical Stack Architecture

This section discusses the technical stack architecture that WorldLand proposes to realize the aforementioned key values.

4.3.1. WorldLand Mainnet Upgrade Plan

To accommodate My AI Network, WorldLand Mainnet plans to introduce the following phased technologies:

a. Implementation of Verifiable Coin Toss Protocol

b. Development and Public Release of GPU Mining Protocol

c. Introduction of Verifiable AI Computing

d. Development and Integration of WorldLand Rollup Chain

This approach ensures that WorldLand remains at the forefront of technological advancements while maintaining the core principles of decentralization, transparency, and security.

4.3.2. WorldLand Cloud

To establish a data and computation cloud environment, we plan to develop the following WorldLand Layer 2 protocols:

• Development of WorldLand Layer 2 Rollup Chain (WL-Rollup): The role of WL-Rollup is to manage and track the state changes of AI learning and service objects (checkpoints) using zero-knowledge proofs, ensuring that all state changes during development are correctly executed. The final product and its proof are then on-chained to WL-Rollup, with a summary ultimately stored on the mainnet.
• Comparison of Checkpoints: The value of the service can be measured by comparing the previous and current states of AI learning objects.
• Deployment of Rollup Smart Contracts (WL-Rollup SC): These smart contracts will be deployed on the WorldLand mainnet and connected to WL-Rollup.
• Registration of Personal DID and GPU DID: Cloud service operators wishing to participate will register their personal DID and GPU DID.
• Zero-Knowledge Proof System for AI Computation: Integrate a zero-knowledge proof system for AI computation into the WL-Rollup client.
• Cloud-native and Distributed Cloud Technologies: Utilize cloud-native technologies and distributed cloud techniques to cloudify the computational resources of nodes registered in the WorldLand cloud. The required tech stack includes cloud-native technologies, Docker and Kubernetes for containerization, SSL/TLS encryption for security, and container isolation technologies.
• User Requests for AI Learning Services: Users can upload their data and models to their cloud space and request learning services. They can also demand the checkpoint results and zero-knowledge proofs. Cloud service providers will present the results and proofs to the WL-Rollup chain, which will verify the validity of the final results and proofs and store them on-chain. The WorldLand mainnet will then confirm the results and proofs submitted by the Rollup chain and approve the final on-chain results.
• Utilization of Existing Cloud Providers: The WorldLand cloud system can utilize computational resources from existing cloud providers like AWS and Azure, as well as computational resources from WorldLand node operators who own GPU equipment, leveraging distributed cloud technology.

Figure 4: WorldLand AI Service Request and Processing Workflow

4.3.3. AI Market

We will support an AI market where AI service requesters and providers can connect.

• Support for Independent Businesses: Facilitate the easy opening of AI markets by independent businesses connecting to WorldLand. This involves providing an environment where they can easily deploy “smart contracts that accept service conditions” as depicted in Figure 4.
• Basic AI Market Model by LiberVance: To activate the AI market, LiberVance, the developer of WorldLand, will offer a basic AI market model supporting the following services:

=> AI Market Dataset and Basic AI Model Market: Providing an environment where consumers can choose datasets and AI models.

=> Automated Learning Service Platform: Establishing a service where users can supply their chosen AI models and data to the WorldLand learning system, which then performs automated learning.

=> AI Agent Conversion and Service Quality Enhancement: Utilizing foundational technologies like Retrieval Augmented Generation (RAG) and LangChain to convert learned AI models into AI agents, allowing these agents to improve service quality based on consumer feedback and additional research.

=> Autonomous Learning Environment: Providing an AI agent environment where the agents can find appropriate learning data for given tasks, re-learn independently, and enhance service quality.

=> Easy Service Launch: Offering an automated environment where users can easily publish and launch their My AI, trained with their data, for public service.

4.3.4. AI Market and Cloud Service Process

Figure 4 illustrates the process of requesting and performing AI model training and data processing through the WorldLand AI Market and Cloud Services.

• Customer (James) Request: The customer selects a model, provides data, requests the service, and proposes a reward.
• Transaction Submission and Data Storage: The WorldLand AI Market sends a transaction containing the service conditions to the WorldLand Rollup SC deployed on the mainnet and stores the training data in the WorldLand cloud.
• Service Provider’s Task: The service provider executes the training task and uses zero-knowledge proofs to demonstrate the integrity of the process.
• Completion of Training Procedure: Upon completion of all training procedures, the zero-knowledge proof (integrity proof of the procedure) is submitted to the WorldLand Rollup SC.
• Integrity Verification and Ownership Transfer: The WorldLand Rollup SC reviews the submitted transaction and zero-knowledge proof to verify the task’s integrity, and transfers ownership of the trained AI model and reward.
• Final Approval: The process is completed upon verification of the zero-knowledge proof and approval of the payment.

This process ensures transparent and secure transactions between AI service requesters and providers and provides an efficient environment for managing AI model training and data processing.

4.4. Understanding the Business Model of WorldLand Cloud Service Providers

AI computing service providers join the WorldLand cloud to offer their services. Any node participating in WorldLand mining, mining pools, and even traditional data centers providing centralized services can join the WorldLand cloud by following the registration process. WorldLand cloud services are available to individuals, businesses, and institutions.

※ OPEN AI fine-tuning pricing comparison (2023.08)

Table 2: Example of Pricing Policy Compared to Open AI

Table 2 illustrates how service users utilize AI training and GPU cloud services in WorldLand Cloud and the associated cost structure. The service elements are explained below.

4.4.1. Users (Individuals, Companies, Institutions)

• Individuals: General individuals using AI services, including professional individuals such as doctors, lawyers, scholars, celebrities, and marketers who have specialized data and experience.
• Companies and Institutions: Companies seeking to possess My AI for business and institutional purposes. This includes small, medium, and large enterprises, schools, medical institutions, and government agencies aiming to operate globally.

4.4.2. Standards and Cost Items

• GPU Cloud Usage Fees: Cloud usage fees charged based on GPU usage for providing AI training and inference services.

=> Standard: Usage-based.

=> Remarks: Utilization of GPU cloud resources from the WorldLand mainnet.

• Technical Support Fees for Fine-Tuning: Costs for technical support needed to fine-tune AI models.

=> Standard: Requirement-based.

=> Remarks: Fine-tuning can be performed by searching for and inviting appropriate My AI agent team members from the WorldLand AI Market for each stage task.

The business model of WorldLand Cloud providers has been analyzed by comparing it with OpenAI’s pricing policy.

5. Operational Plan

5.1. Operational Strategy

• Initial Phase: Development and testing of core functionalities, recruiting early users

=> Develop and test the core functionalities of the WorldLand mainnet and My AI Network.

=> Recruit early users to gather feedback and improve the system.

• Growth Phase: Marketing campaigns, user base expansion

=> Increase awareness of WorldLand and My AI Network through marketing campaigns.

=> Expand the user base to encourage more people to use the platform.

• Expansion Phase: Development of additional features, global market entry

=> Develop additional features to enhance the platform’s usability.

=> Enter global markets to provide services to users worldwide.

5.2. Schedule

• Phase 1 (0–6 months): System design and development

=> Complete the system design of WorldLand My AI Network and develop core functionalities.

• Phase 2 (6–12 months): Beta testing and feedback collection

=> Conduct beta testing and gather feedback from early users to improve the system.

• Phase 3 (12–18 months): Official launch and marketing

=> Officially launch the platform and expand the user base through extensive marketing campaigns.

This operational plan presents specific phases and a timeline to successfully operate and grow the WorldLand mainnet and My AI Network.

6. Team Composition

The current LiberVance team consists of 11 members, primarily focused on the mainnet and development. To advance the My AI Network project, we plan to expand the team to approximately 20 members, as follows:

• CEO and Founder: 1
• Executive-level Staff: 3 (Technology, Marketing, Business)
• AI Developers: 5
• Blockchain Developers: 3
• Cloud Architects: 2
• Backend Developers: 2
• Frontend Developers: 2
• DevOps Engineer: 1
• Support Staff: 2

We aim to secure specialized personnel in each field to ensure the successful advancement of the project.

7. Financial Plan

Initial funding will be secured through venture capital (VC) investments and the issuance and sale of My AI Network tokens (ERC-20, MAN). The aim is to raise between $2,500,000 and $3,000,000 in this round. Major expense items include the establishment of security infrastructure, setting up research labs, recruiting top talent, marketing and promotion, and listing the token on exchanges.

Revenue will be generated through several key channels. Firstly, profits can be made from capital gains due to the appreciation of token and coin values. Secondly, fees will be charged to customers utilizing cloud services. Thirdly, we plan to offer premium AI model training services and earn revenue through usage fees for these services.

This financial plan aims to effectively secure initial funding, manage major expense items, and achieve financial stability through diverse revenue streams.

A. Financial Plan

• Initial Funding: Securing funds through VC investments and the sale of MAN tokens.
• Expenses: Costs for securing in-house GPUs for R&D and building security infrastructure, basic AI development costs, obtaining high-quality data, marketing expenses, and operating costs for the WorldLand mainnet.
• Revenue Projections: Capital gains from the appreciation of coin value driven by the activation of the WorldLand network, fees from GPU cloud services, and fees from AI model training services.

B. Initial Funding

• Total Budget: $2,500,000 — $3,000,000
• Major Expense Items: Costs for infrastructure setup, establishing research labs, recruiting talent, and marketing and promotion.

8. Token Economy

My AI Network Token Economy (Tokenomics)

8.1. Purpose and Use of the Token

• Purpose: Fundraising, incentivizing network participation, operating the reward system
• Use: Payment for AI services, rewarding service providers, medium of exchange within the network, community rewards and incentives
• Token Name: MAN

8.2. Tokenomics Design (Tokenomics)

• Total Supply: 1,000,000,000 MAN
• Distribution Plan:

=> Initial Investors (Private Sale): 20% (200,000,000 MAN)

=> Public Sale: 10% (100,000,000 MAN)

=> Team and Advisors: 15% (150,000,000 MAN)

=> Community Rewards: 20% (200,000,000 MAN)

=> Ecosystem Development and Partnerships: 20% (200,000,000 MAN)

=> Liquidity and Marketing: 10% (100,000,000 MAN)

=> Reserve: 5% (50,000,000 MAN)

8.3. Legal Advisory and Regulatory Review

• Legal Advisory: Consultation with cryptocurrency law experts
• Regulatory Compliance: Adherence to cryptocurrency-related regulations in various countries
• KYC/AML: Implementation of Know Your Customer and Anti-Money Laundering procedures

8.4. Technical Preparation

• Token Standard: Issuance of the MAN token as an Ethereum ERC-20 token
• WorldLand Bridge: Issuance of the MAN ERC-20 token and pegging WorldLand MAN with Ethereum eMAN through the WorldLand Bridge
• Wallet Integration: Integration with major wallets such as MetaMask and Trust Wallet

8.5. Marketing and Community Management

• Whitepaper: Detailed description of the goals, technology, tokenomics, and team of the WorldLand My AI Network
• Website and Social Media: Introduction of the project and establishment of community communication platforms
• Marketing Strategy: Development of marketing strategies to promote token sales

8.6. Token Sale Strategy

• Sale Rounds:

=> Private Sale: Targeted at early investors

=> Public Sale: Open to the general public

=> IDO (Initial DEX Offering): Public sale on decentralized exchanges

• Pricing: Setting token prices for each round
• Sales Platform: Sales through the Opensea NFT platform and decentralized exchanges (DEX)

8.7. Security and Technical Review

• Code Audit: Review of smart contracts and related code by external security audit firms
• Security Protocols: Implementation of security protocols to prevent hacking and fraud

This token economy establishes the financial foundation necessary to achieve the goals of the WorldLand My AI Network, promote network participation, and build a sustainable economic system.

9. Conclusion

My AI Network WorldLand is a decentralized economic system created by combining AI and blockchain technology. WorldLand attracts cloud centers to major regions worldwide, meeting the AI computing needs of local communities, bridging the AI gap, and promoting the everyday use and education of AI. Through this, AI is leveraged in various fields such as finance, healthcare, and engineering to address local issues and support community growth.

The My AI Network evolving within WorldLand will surpass the quality of AI services provided by global corporations in terms of performance. This decentralized and distributed My AI Network creates and collaborates on various AIs tailored to the expertise and goals of individuals. Thanks to this diversity and cooperation, it becomes possible to effectively solve problems when unforeseen environmental changes occur. My AI Network, as an AI that enhances individual capabilities, helps people find the wisdom to maintain their economic sovereignty and continuously evolve and survive in the rapidly changing global political and economic environment.

Participants in My AI Network will be fairly rewarded through the decentralized economic system, remain engaged without being excluded from the rapid advancement of science and technology, and contribute to the economic revitalization of regions around the world. WorldLand is an innovative platform that connects the global community more closely and supports sustainable virtuous economic growth.