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Abstract
DeWorker is a decentralized AI-worker collaboration protocol designed to address the collaborative and creative challenges that arise from the interaction between AI technology and humans. The purpose of creating the DeWorker protocol is to inspire numerous AI workers to provide services that are easy for human workers to utilize. By bridging the gap between human work and AI agents through the protocol, we aim to form a resilient and creative workspace that brings together a diverse group of participants, including AI model providers, miners, capital suppliers, developers, AI applications and services, community contributors, and end-users.
AI workers contribute by offering training data, improving algorithms, and providing expertise, enabling AI models to more efficiently meet user demands. Their efforts drive core innovations in Large Language Models (LLMs) and promote the deep specialization of AI applications and services, ensuring these tools are finely tailored to the subtle differences in specific industries and user needs.
DeWorker integrates cryptographic and AI technologies to ensure transparency and fairness in recognizing and rewarding the contributions of all participants. This protocol-based approach not only accelerates the advancement of AI technology but also creates a mutually beneficial environment for users, developers, and community contributors. With DeWorker, users can easily access and actively utilize high-quality AI services, while those providing AI applications and services can showcase their skills and gain due recognition on a balanced and fair platform.
Background
The development of AI technology is a collaborative effort across the scientific community, beginning with the initial recognition of the potential for combining intelligence and computational sciences. The goal of scientists was to explore the possibility of machines simulating human intelligence, with the hope of bringing about technological transformation that would ultimately serve all of humanity. As the maturity and application capabilities of technology have improved, large commercial companies have gradually begun to consolidate AI capabilities within their control. This has, to some extent, damaged the diversity of technology and the collaborative network of researchers, leading to underutilization of resources. Our first task is to address the centralization of AI technology and resources.
The evolution of AI technology has been gradual, not an overnight success. AI initially started with the concept of intelligence, and the application of simulating human intelligence has been continuously developing. Broadly speaking, applications from Web2 to Web3 have become increasingly intelligent. However, as we advance AI, it seems that people have overlooked a perspective. Most people believe that AI is an extremely intelligent and capable AGI species that will emerge in the next 5 to 10 years.
In fact, the intelligence mentioned in AI has been evolving; it is more of a "process," a state of flow. At the same time, humans are also pursuing the generalization of human intelligence, not only becoming more intelligent themselves but also striving to make surrounding organizations, technologies, machines, and tools more intelligent. This is a continuous process of exploration and pursuit. The development of multimodal capabilities in AI technology now provides us with a possibility, that is, using the adhesive capabilities of current AI technology to transform existing Web2 applications into an AI-worker, and to enable multiple AI-workers to collaborate and generate more powerful capabilities, bringing changes to people's work and life. Therefore, the second issue is to improve the productivity of AI.
We need to create a chemical reaction between the current AI technology and the existing infrastructure, fully explore the technological combination force, and make AI's productivity more concrete and closer to commercial production.Currently, the commercial organizations in the human world are almost all based on the company structure, which is a brilliant invention about organizational change and creativity stimulation. However, with the emergence of super individuals and the improvement of productivity in small team-based organizations, people demand more creator value, and they expect to receive a fairer and more reasonable creator value.
Taking the AI field as an example, during the process of intelligent evolution, researchers have always been the main force of innovation, but they have not received corresponding rewards. With the development of AI technology, the creativity of individual "workers" will become more powerful. In the future, it will certainly be seen that a human worker manages dozens of AI-workers at the same time, forming a workspace, and the value and influence they provide will definitely surpass some companies. So our problem is clear: how to measure value and motivate these AI-workers?
Solution
The current basic communication protocol of the Internet is the TCP/IP protocol stack, which standardizes and standardizes the positioning of each layer and each role, as well as how to interconnect with other roles, defining the norms of collaboration. The social products, email, and video services we use now all rely on this protocol to complete end-to-end services. There are various types of protocols, if it can inspire an industry, define a set of collaborative standards for participants, such as the emergence of BTC, it has created a brand new, open mining collaboration network, miners can collaborate with each other according to standard specifications to maintain a powerful network, and it provides a fair and credible incentive mechanism, thus forming the current cryptocurrency ecosystem, stimulating the unparalleled creativity of builders from all walks of life.
When we think deeply about the evolution of AI technology, the development of Internet protocols, and the production relations revolution brought about by blockchain technology, we gradually find solutions to the above three problems. Abstractly speaking, the solution includes the following aspects:
Open, standardized protocol: The protocol provides the norms for mutual collaboration and communication among various roles. It allows any role to enter and exit freely, and different roles exchange information through standard interfaces; at the same time, this protocol is layered, the definition between different roles is clear and simple, making their collaboration more efficient; in addition, the protocol is also scalable, each layer of the protocol can be scaled horizontally, enhancing the efficiency of the protocol.
Effective verifiable incentive mechanism: The protocol contains multiple roles, and different roles provide different values to the protocol, so defining a clear and verifiable incentive framework helps attract different roles to enter the ecosystem. In this protocol, incentives will be established based on multi-angle verification standards, and this framework includes user feedback, API data, computing power, data, liquidity, and other multi-factor incentive algorithms.
Composable AI-Worker technology stack: In the future, AI-workers will appear in the form of super individuals or super-automated organizations. From the perspective of the protocol hierarchy, AI-workers are located between the Blockchain and the application layer, providing rich technical stack capabilities for the upper-level AI applications, including but not limited to LLM training, data mining, Game Agent, multimodal generation services, and other basic capabilities. Finally, the protocol is composable both horizontally and vertically, just like the composability of DeFi, AI-workers provide interfaces for external modules to assemble into new services, and this feature greatly stimulates the creativity of decentralized AI services.
Protocol Architecture
User Layer Introduction
At the heart of the Deworker protocol lies the User Layer, the nucleus where the real magic unfolds. It serves as the central hub for AI service end-users and evaluators, a diverse group of consumers pivotal to the economic ecosystem. Here, users leverage AI agents to gather and analyze data, delving into Crypto projects with a unique exploration framework to unearth hidden gems and monitor their progress. This intricate process is supported by AI-Workers, providing optimized Large Language Models (LLMs) and robust GPU inference services. Specialized AI-Workers within the Deworker ecosystem offer customizable on-chain/off-chain data mining, enhancing vertical field data support for expert-level LLMs.
Developers use LLMs for code debugging and analysis. Gamers benefit from game companion services through Game Bots managing game assets and exploring strategies, while content creators leverage powerful AI tools to enhance their creations. The active participation of the User Layer drives AI technology forward and injects vitality and innovation into the entire economic system.
Workspace App Layer Introduction
The Workspace Layer encompasses all Applications in the Deworker protocol, acting as a sophisticated framework orchestrating the interaction between user needs and the specialized capabilities of the AI-Worker Layer. It serves as the pivotal interface connecting and translating high-level AI services of AI-Workers into accessible applications catering to diverse user requirements.
This layer embodies the Deworker protocol's commitment to user-centric innovation, ensuring seamless integration of AI and blockchain technology into applications that are intuitive and beneficial to end-users. Serving as the bridge between theoretical AI possibilities and practical implementation, the Workspace Layer fosters meaningful and productive user interaction with AI.
The decentralized API architecture of the Workspace Layer facilitates fluid communication between the User Layer and the AI-Worker Layer, enabling users to submit tasks and requirements, which are then directed to appropriate AI-Workers for execution. This economic flow ensures fair compensation for AI-Workers, incentivizing continued development and refinement of AI services, nurturing a sustainable and rewarding ecosystem.
Illustrating the versatility and utility of the Workspace Layer, platforms like Questflow seamlessly integrate into it, offering users a text-to-workflow tool automating tasks across various platforms. This integration exemplifies how the Workspace Layer brings the power of specialized AI services to users in an engaging and user-friendly format.
In essence, the Workspace Layer serves as the gateway to realizing the full potential of AI in a user-oriented environment within the Deworker protocol, facilitating the transfer of value from user fees to the AI-Worker Layer, ensuring a dynamic ecosystem where innovation and utility translate into tangible benefits for all stakeholders.
Guardian Node Layer Introduction
The Guardian Node Layer of the Deworker protocol serves as the backbone sustaining the entire ecosystem, comprising users who provide staking services to the protocol, engaging in daily activities akin to mining, supporting the network's liquidity. These users play a crucial role in the economic cycle, ensuring a continuous flow of funds to facilitate seamless operations within the Deworker network.
Essential for liquidity management, the Guardian Node Layer which allow users to a stake node to the pool.This layer's ability to maintain and grow liquidity is vital, especially with the expanding user base and increasing demand for AI services.Furthermore, the Guardian Node Layer shares protocol rewards with contributors, incentivizing active participation and investment in the protocol's success. This layer ensures uninterrupted access to AI-Worker Layer services and Application Layer developments, providing stability against market fluctuations and fostering scalability to meet growing demands.
In summary, the Guardian Node Layer forms the cornerstone of the Deworker protocol's infrastructure, providing the necessary liquidity ,validation and stability for its thriving operation. By rewarding user contributions, it fosters a collaborative environment where shared success drives growth and development.
AI-Worker Layer Introduction
The AI-Worker Layer serves as the powerhouse of the Deworker protocol, where specialized skill and advanced AI capabilities converge. Here, precision and expertise in AI services are honed, offering a suite of solutions meticulously crafted to meet diverse industry demands.
Owners within this layer are the innovators and model providers, ushering AI models that underpin the protocol's functionality. Miners serve as the engine, providing essential training, inference, and computational power services, ensuring operational efficiency and reliability.
Staking users form the financial backbone, supporting the network's growth and competitiveness. Their commitment fuels the development and scaling of AI-Workers, enabling the network to deliver cutting-edge AI services.
Specialized AI-Workers offer tailored solutions, catering to specific needs and fostering continuous improvement and innovation. Leveraging decentralized networks like Solana and Ethereum enhances their expertise and transparency, facilitating engagement with a global user base.
In essence, the AI-Worker Layer is the linchpin of the Deworker protocol, delivering specialized knowledge and services that drive innovation in AI and blockchain. Through the dedication and innovation of Owners, Miners, and Staking Users, the protocol delivers state-of-the-art AI solutions tailored to user needs.
Blockchain Layer Introduction
The Blockchain Layer forms the foundation of the Deworker protocol, providing a secure and scalable environment for AI services and user interactions. Leveraging established public blockchain networks like Solana, ETH, and Base ensures the protocol's ability to handle complex computations and data transactions.
Designed for future-proofing, this layer adapts to evolving protocol needs, scaling to accommodate increased transaction volumes and user demands. Its decentralized nature ensures system integrity, fostering trust through transparent transaction recording on a public ledger.
Playing a crucial role in protocol governance, the Blockchain Layer facilitates secure and transparent voting processes through the DAO Governance Module, ensuring community-driven decisions.
In summary, the Blockchain Layer ensures the security and scalability of the Deworker protocol, providing a solid foundation for AI and blockchain integration.
Use Cases and Applications
Intent Smart Transactions: Collaboration between multiple AI-workers simplifies users' needs for convenient and secure transactions, efficiently completing trades.
Intelligent Data Analysis: Investment research teams utilize Deworker protocol's AI-workers to analyze market trends, conduct project analysis, tracking, and progress alerts, supporting investment decision-making.
Personalized Content Recommendation: A news aggregation platform uses Deworker's AI services to recommend personalized news based on users' reading habits and interests.
Natural Language Processing (NLP): A multilingual customer service platform employs Deworker protocol's NLP services to enhance the efficiency and accuracy of customer service.
Gaming AI Opponents: An online gaming company integrates Deworker protocol's AI-workers to provide intelligent gaming opponents, enhancing the gaming experience.
Automated Customer Support: An e-commerce website uses Deworker's AI services to automate responses to common questions, reducing customer wait times.
Smart Personal Assistants: Several mobile applications integrate Deworker protocol to offer personal assistant services, helping users manage their schedules and reminding them of important events.
Customized Educational Content: An online education platform uses Deworker's AI services to analyze students' learning habits and provide customized educational content.
Automated Report Generation: Companies use Deworker protocol's AI-workers to automatically collect data and generate weekly or monthly reports, reducing the workload of manual report writing.
Automated Design Services: An online design platform uses Deworker protocol's AI-workers to automate the design process, quickly generating design drafts.
Intelligent Legal Consultation: A legal consulting service uses Deworker protocol's AI services to provide preliminary legal advice, helping users quickly understand their legal issues.
Automated Programming Assistance: A programming assistance tool uses Deworker protocol's AI services to help developers automatically generate code or provide programming suggestions.
Token Incentive System
Deworker validates and rewards participants from multiple perspectives, including user feedback, computing power, model effectiveness, capital liquidity, and application adoption. This also promotes continuous innovation within Large Language Models (LLMs) and the refinement of AI applications and services. The feedback-driven verification mechanism ensures the quality and effectiveness of AI services provided within the network and offers significant incentives for AI workers to improve service quality and drive innovation.
The total supply of Deworker tokens is 1 billion, with a halving every two years. The first year's release is 150 million, and the release for the first five years is as follows:
Year 1: 150 million
Year 2: 150 million
Year 3: 75 million
Year 4: 75 million
Year 5: 37.5 million
Others
The token reward rules consider both the costs for node miners and liquidity needs, as well as the long-term development of the project. By integrating the incentive model of BTC with the DAO organization's contribution-based incentive model, a daily release model is adopted to motivate various roles. The incentives are directed towards third-party applications, liquidity providers, owners, miners, and staking users within the AI-worker, as well as contributors within the DAO. The specific allocation rules are as follows:
Workspace-App: The application layer is entitled to a default of 5% of the daily block reward. This can be adjusted annually based on DAO assessment and governance. If there are N applications in the application layer, they are allocated according to the proportion of API calls made to AI-Workers. For example, if APP 1 accounts for 5% of all AI-Worker API calls in the entire App layer, then APP1's daily reward is calculated as 5% of (4.109 million) tokens * 5% = 1027.25 tokens.
Guardian Nodes: The group of guardian node collectively accounts for 25% of the total daily block reward. Each node's incentive is calculated based on the proportion of the capital they have committed to the entire staked node pool. For example, if Gm1 has committed 50K ETH, representing 20% of the entire Gm Pools, then Gm1's daily reward is 25% of 4.109 million * 20% = 20,545 tokens.
DAO Contributors: Mainly for incentives to developers, business developers, ecological funds, and community contributors, who receive 10% of the daily block reward.
AI-Worker Node: The AI-worker layer accounts for 60% of all daily block rewards. AI-workers are incentivized based on a score ratio. Assuming AI-Worker 1 accounts for 10% of all, then AI-Worker1's daily rewards are 60% of 4.109 million tokens * 10% = 24,654 tokens.
AI-Worker Internal Incentive Ratio: There are three incentive roles within an AI-Worker: miners, the owner itself, and users participating in the AI-Worker's staking. The owner can decide on the distribution ratio for each role, such as 60% to miners, 20% to the owner, and 20% to staking users, or allocate all rewards to miners and staking users.
AI-Worker Internal Miner Incentive Ratio: If 100% of the AI-Worker's rewards are allocated to miners, then miners are rewarded based on service scores. Miners are scored based on response speed and service stability.
Protocol Governance
The DAO Governance Module is the core decision-making component within the Deworker protocol, ensuring the interests of all stakeholders are aligned. It provides a democratic platform for capital providers, developers, and community members to influence the direction of the protocol.
The module operates through a voting system, allowing community decisions on protocol changes and upgrades, promoting fairness and preventing the concentration of power. It actively monitors the health of the protocol, adjusting incentives to encourage behaviors that benefit the network as the AI and blockchain landscapes evolve.
As the Deworker protocol evolves, the DAO Governance Module remains proactive, safeguarding the protocol's sustainability and adaptability. It upholds the protocol's long-term viability, delivering ongoing value to users and contributors. The protocol's minimal governance approach ensures efficient operation while leveraging community wisdom, enabling agility and responsiveness to user needs in a decentralized manner.
Ecosystem Development
Long-term Vision: The long-term vision of the Deworker protocol is to create a self-sustaining and self-developing AI service ecosystem where AI workers, users, developers, miners, and investors can grow together in a fair and transparent environment. We are committed to promoting the widespread application of AI technology through technological innovation and incentive mechanisms, optimizing resource allocation, and ultimately forming an efficient and sustainable AI service market. This will be approached from several aspects:
Protocol Development: Encourage developers to create a diverse range of AI applications based on the Deworker protocol to meet the needs of different industries and users.
Developer Community: Establish an active developer community that provides technical support and resource sharing, promoting knowledge exchange and collaborative development.
Partnership: Collaborate with leading companies in various industries to apply the Deworker protocol in real business scenarios and partner with academic institutions to advance AI research and talent cultivation.
Effective Incentives: The protocol token, as the currency within the Deworker ecosystem, is used for incentives, transactions, and governance. The token distribution is designed to ensure the interests of all participants while maintaining the token's economic value. Incentives are provided based on the contribution level of users, developers, miners, and other participants.
Governance Participation: The DAO governance model allows all token holders to participate in the decision-making process of the protocol, with voting power proportional to the amount of tokens held, encouraging active community engagement.
Ecosystem Fund: An ecosystem fund is established to support outstanding projects and promising AI application development.
Through these ecosystem development strategies, the Deworker protocol will continuously attract and cultivate talent, promote technological innovation, expand application scenarios, and ultimately achieve a prosperous and healthy AI service ecosystem.
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