With the continuous evolution of blockchain technology and the development of smart contracts, Web3 is emerging, and its extensive ecosystem will bring about more innovation in business models and investment opportunities. In this field brimming with potential, INTO stands as a trailblazing initiative, charting new territory in the construction of the Web3 big data framework. Leveraging innovative technology and mechanisms, INTO focuses on ‘data on-chain, intelligent distribution, privacy protection, and value feedback’ to redefine how data interacts within the blockchain ecosystem.
Analysis of Web3 Technology Stack — System Architecture
In Web2, the backend consists of data servers, which are presented to users through the frontend. In the technical architecture system of Web3, the backend is replaced by the blockchain network, composed of smart contracts, the Ethereum Virtual Machine (EVM), and blocks. Layer2 mainly refers to the development of smart contracts. Smart contracts serve as carriers of program code and run on the EVM.. In contrast to Web2, where data is stored on centralized servers, service providers can decide whether to delete or retain data. In Web3, data is stored on decentralized blockchains, making it immutable, collectively maintained, and transparent in its rules.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI is playing a crucial role in the development of Web3, contributing to a more decentralized, secure, and user-centric internet. By integrating AI capabilities into various domains of Web3, we can expect increasingly intelligent, efficient, and personalized digital experiences.
AI and big data are closely intertwined. AI is built upon specialized hardware and software, used to develop and train machine learning algorithms. AI systems typically operate by ingesting large volumes of labeled data, including expert systems, natural language processing (NLP), speech recognition, and computer vision. They then analyze patterns and correlations within the data, using these insights to predict future states.
How does AI in Web3 create the intelligent layer of Web3?
Machine Learning (ML) is an indispensable part of AI. ML added to Web3 will extend to different layers of the Web3 stack. Three key Web3 layers can provide ML-driven insights.
1.Intelligent Blockchain
Current blockchain platforms focus on developing critical distributed computing components to achieve decentralized processing of financial transactions. These key building blocks include consensus mechanisms, mempool structures, and oracles. Next-generation Layer 1 and Layer 2 blockchains will incorporate machine learning-driven functionalities, much like core components of traditional software infrastructure such as storage and networking become more intelligent. For example, blockchain systems can utilize machine learning predictions to enhance transaction processing and develop scalable consensus protocols. AI itself can enhance the security of blockchains, while AI applications can quickly mine data and predict behaviors, detect fraudulent activities, and prevent attacks.
2. Intelligent Protocols
By integrating AI into smart contracts, they can be enhanced to handle more complex decision-making processes that require data analysis, pattern recognition, or prediction. For example, AI can analyze large amounts of data from various sources such as market trends, user behavior, or environmental factors to make informed decisions within smart contracts. These decisions can be based on predefined rules, learned patterns, or even real-time adjustments, enabling smart contracts to adapt to changing conditions and execute transactions more intelligently. Additionally, AI-driven smart contracts can automate complex workflows and processes involving multiple parties and conditions.
3.Web3 Applications
Natural Language Processing (NLP) is a subfield of AI focused on enabling computers to understand, interpret, and generate human language. In the context of Web3, NLP can significantly impact and improve the way users interact with decentralized applications, resulting in more intuitive user interfaces and bridging the gap between human language and digital services.
NLP can influence Web3 by facilitating seamless communication between users and Web3 applications. By adopting NLP technologies, these applications can interpret and respond to user queries or commands in natural language, rather than relying on traditional, more cumbersome input methods. This can lead to more user-friendly and accessible interfaces, making Web3 applications more appealing to a wider audience.
Leveraging Artificial Intelligence: INTO’s Web3 Big Data Vision
As we’ve previously analyzed, AI can play a crucial role in the analysis and utilization of data within the Web3 ecosystem because it can handle and analyze the vast amount of data generated by decentralized platforms, applications, and services. INTO, as a social protocol within the Web3 space, employs an approach that combines the power of AI with decentralized technologies such as blockchain and distributed computing.
Firstly, INTO utilizes blockchain technology to achieve data on-chain. In traditional internet environments, user data is often stored centrally on centralized servers, posing risks of tampering and misuse. However, INTO encrypts each user’s data and stores it on the blockchain, creating a distributed database. This decentralizes data storage, granting users more control over their data.
Data on-chain lays a solid technical foundation for the Web3 big data ecosystem. Building upon this foundation, INTO further enhances the circulation efficiency and utilization value of data through intelligent distribution mechanisms. Intelligent distribution refers to the use of smart contracts and token incentives to achieve intelligent matching and automatic transactions of data among different entities. At the same time, token incentives also stimulate active participation in data circulation, unlocking greater value in social collaboration.
However, the premise of data sharing and trading is privacy security. INTO fully utilizes various privacy computing technologies to construct a solid privacy protection barrier. For example, INTO employs techniques such as differential privacy and multi-party secure computation to achieve data fusion and analysis across organizations while protecting the original data from leakage. Even during the process of sharing data, user privacy remains uncompromised. By leveraging advanced AI technologies to discover valuable insights, detect patterns, and identify opportunities for optimization or innovation, INTO ultimately promotes the integration of Web3 and AI.
Lastly, through a carefully designed value feedback mechanism, INTO tilts the value of data towards users, democratizing the distribution of data dividends. In the INTO ecosystem, users not only have complete ownership of their personal data but can also obtain economic returns through data authorization, data staking, and other means in the future. This value feedback mechanism not only incentivizes users to actively participate in data sharing and trading but also fosters the healthy development of the entire Web3 big data ecosystem.
In summary, AI plays a crucial role in the development of Web3, contributing to a more decentralized, secure, and user-centric internet. By integrating AI into various domains of Web3, we can expect increasingly intelligent, efficient, and personalized digital experiences. INTO, with its unique technology and mechanisms, has paved an innovative path for building the Web3 big data ecosystem. Through the tight integration of data on-chain, intelligent distribution, privacy protection, and value feedback, INTO has constructed a secure, efficient, and value-oriented Web3 big data ecosystem, injecting new vitality and momentum into the development of the digital world.
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About INTOverse
INTO is a pioneering Web3 social protocol, leveraging blockchain and AI technology. It offers features such as crypto wallets, SocialFi, the SoulBound Token (SBT), AI tools, and more. INTO’s mission is to create a globalized Web3 social network, fostering an open, free, engaging, compatible, and secure communication environment for users worldwide.
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