Instead of Taobao, Jingdong, and Amazon, it will not be a new traditional e-commerce platform, but a product that appears in another dimension. It is a distributed intelligent business market built by AI and blockchain technology. Its success will be It is an important sign that the market has leaped from the information economy to the digital economy.

The e-commerce platform is an important part of today's Internet economy. It provides users with convenient and rich goods and services, and provides businesses with broad and efficient markets and channels. However, as users' needs and preferences become increasingly diverse and personalized, and merchants' competition and innovation become increasingly fierce and complex, traditional e-commerce platforms are facing more and more challenges and limitations, such as data quality, security, Issues such as privacy and credibility, as well as issues such as algorithm performance, accuracy, explainability, and adaptability, as well as issues such as stability, usability, ease of use, and openness of the platform, and issues such as reasonableness, fairness, transparency, and flexibility of rules.

In order to solve these problems, a new e-commerce platform model is being conceived and developed. It does not simply replace or improve the existing e-commerce platform, but rebuilds an e-commerce platform in another dimension. It is powered by AI , A distributed intelligent business market based on blockchain technology architecture. This new e-commerce platform model uses AI technology to achieve data collection, value mining, knowledge accumulation and search efficiency improvement, uses blockchain technology to achieve data security, privacy, credibility and sharing, and uses public vector databases to achieve Data storage and query, using smart contracts, tokens and community governance to realize data transactions, incentives and norms. This new e-commerce platform model can provide users with better and innovative data services, fairer and more interesting data interactions, and more reasonable and transparent data rules, thereby improving user experience and satisfaction, and increasing user participation and loyalty.

This article will analyze and introduce this new e-commerce platform model in detail, including its design principles, technical architecture, key elements, advantages and challenges, application scenarios and value creation, and compare it with traditional e-commerce platforms. Contrast and evaluation, in order to provide readers with a comprehensive and in-depth knowledge and understanding.

1. Design principle

The design principle of the distributed intelligent business market is based on the following proven arguments:

· Data is the foundation of business, and the quality, magnitude and diversity of data determine the efficiency and value of business.

· Data is the property of users. Users have the right to control and use their own data, as well as the responsibility to protect and share their own data.

· Data is a public resource, and data should be widely collected, stored and shared to promote social progress and development.

· Data is the driver of intelligence, and data can realize various intelligent functions through AI technology to meet the needs and preferences of users.

· Data is an autonomous organization, and data can implement various autonomous mechanisms through blockchain technology to maintain market order and fairness.

Based on these arguments, the design goals of the distributed intelligent business market are:

· Realize efficient data matching and transactions, and improve user experience and satisfaction.

· Realize fair incentives and rewards for data, and increase user participation and loyalty.

· Realize reasonable standardization and supervision of data, and protect the interests and rights of users.

In order to achieve these goals, the design approach of the distributed intelligent business market is:

Use AI technology to realize data collection, value mining, knowledge accumulation and search efficiency improvement.

· Use blockchain technology to achieve data security, privacy, trustworthiness and sharing.

· Use public vector database to realize data storage and query.

· Use smart contracts, tokens, and community governance to enable data transactions, incentives, and norms.

2. Technical Architecture

The technical architecture of the distributed intelligent business market mainly includes the following parts:

· AI technology: AI technology is the core technology of the distributed intelligent business market, which can use data to realize various intelligent functions, such as recommendation, search, prediction, generation, etc. AI technology mainly includes the following aspects:

LLM: LLM is the abbreviation of Large Language Model, which refers to an artificial intelligence algorithm that uses deep learning technology and massive data sets to understand, summarize, generate and predict new content. LLM can be trained by self-supervised learning or semi-supervised learning, taking advantage of parallel computing to improve efficiency. LLM can be used for a variety of natural language processing tasks, such as text classification, named entity recognition, machine translation, text generation, etc. LLM can provide users with high-quality language services, such as translation, proofreading, interpretation, etc., and ensure the fairness and credibility of transactions through smart contracts.

· langchain: langchain is a language service platform based on blockchain technology, which aims to provide a decentralized, secure, transparent and efficient transaction environment for language service providers and demanders. Langchain uses LLM to provide high-quality language services, such as translation, proofreading, interpretation, etc., and ensures the fairness and credibility of transactions through smart contracts.

Data-augmented generation: Data-augmented generation is a method that utilizes LLM and langchain to collect data needed for a generation step, such as summarizing a long text or answering a question using a specific data source. Data-augmented generation can improve the quality and diversity of generated content to meet users' needs and preferences.

· Blockchain technology: Blockchain technology is the basic technology of the distributed intelligent business market, which can realize data security, privacy, credibility and sharing. Blockchain technology mainly includes the following aspects:

· Consensus mechanism: Consensus mechanism is a method to reach a consensus state in a decentralized network, such as POW or POS. The consensus mechanism can ensure that the verification and recording of data and transactions by all nodes in the network are consistent, preventing attacks such as double spending or tampering.

· Smart contract: A smart contract is a self-executing program that runs on the blockchain, which can define and execute agreements between parties, such as data access rights, transaction conditions, reward mechanisms, etc. Smart contracts can ensure that the execution of the agreement is open, transparent and irreversible, avoiding risks such as fraud or breach of contract.

Central bank digital currency (CBDC)/token: Central bank digital currency is a digital currency issued and regulated by the central bank. It is an electronic form of legal tender and is mainly used to replace cash in circulation (M0). The central bank's digital currency has the characteristics of statutory encryption, stability, and unlimited legal compensation, which can improve the efficiency and security of the payment system and meet the diverse needs of the public for retail payments. A token is a digital asset issued and circulated on the blockchain, which can represent various values, such as currency, points, equity, etc. Tokens can be used to motivate and reward the contributions of all parties, such as data provision, algorithm development, platform maintenance, etc., and can also be used to pay and exchange various services, such as language services, data services, etc.

· Community governance: Community governance is an autonomous mechanism implemented on the blockchain, which allows all parties to decide the development direction and important matters of the platform through voting or other means, such as technology upgrades, rule revisions, fee adjustments, etc. Community governance can ensure that the development of the platform is democratic, participatory and adaptive, reflecting the interests and demands of all parties.

· Public vector database: public vector database is a data technology in the distributed intelligent business market, which can realize data storage and query. The public vector database mainly includes the following aspects:

· Vector search: Vector search is a data retrieval technique based on the vector space model, which can achieve efficient similarity calculation and matching. Vector search can be used to store and query various types of data, such as text, image, audio, video, etc.

· Data encryption: Data encryption is a technology to protect data security and privacy, which can encrypt and decrypt data. Data encryption can be used to protect data from being stolen or leaked during transmission and storage.

· Data authorization: Data authorization is a technology to control data access rights, which can authorize and verify data. Data authorization can be used to protect data ownership and usage rights, allowing users to independently decide who can access their data.

3. Key elements

The key elements of the distributed intelligent business market refer to the important factors affecting its operation and development, mainly including the following aspects:

· Data: Data is the basic element of the distributed intelligent business market. It can provide information, preferences, behaviors, etc. of both the supply and demand sides, helping to achieve more accurate and efficient matching and transactions. Data needs to be of sufficient quality, magnitude, and diversity to support the training and application of AI models. Data also needs to have good security, privacy and credibility to protect the interests and rights of users.

· Algorithms: Algorithms are the core elements of the distributed intelligent business market, which can use data to realize various intelligent functions, such as recommendation, search, prediction, generation, etc. Algorithms need to have sufficient performance, accuracy, and interpretability to meet the needs and expectations of users. Algorithms also need to have good scalability, portability and adaptability to adapt to different scenarios and changes.

· Platform: Centered on public vector data, reconstruct a decentralized or weakly-centralized open platform. Under the rules without permission, anyone or organization can participate in it through POW and become a platform builder or a member of the ecology . The new platform is the carrier element of the distributed intelligent business market, which can provide various services and resources, such as interface, interaction, payment, evaluation, etc. The platform needs to have sufficient stability, usability and ease of use to guarantee user experience and satisfaction. The platform also needs to be open, collaborative and innovative to promote user participation and contribution.

· Rules: Rules are the institutional elements of the distributed intelligent business market, which can regulate the behavior, responsibilities, rights, etc. of all parties, and help maintain the order and fairness of the market. Rules need to be reasonable, fair and transparent enough to gain the trust and recognition of users. Rules also need good flexibility, dynamics and inclusiveness to adapt to the development and changes of the market.

4. Advantages and challenges

Compared with traditional e-commerce platforms, the distributed intelligent business market may have the following advantages:

Improve efficiency: Through AI, blockchain technology and public vector databases, faster and more accurate data matching and transactions can be achieved, reducing costs and risks.

Increased value: Through LLM, langchain and data enhancement generation, more diverse and high-quality data services can be realized to meet the needs and preferences of different users.

Increase participation: Through smart contracts, tokens, and community governance, fairer and more interesting data interactions can be achieved, and contributions and innovations from all parties can be motivated and rewarded.

The distributed intelligence business market may also face the following challenges:

Technical difficulty: Using advanced technologies such as AI, blockchain technology, and public vector databases requires a high level of professional knowledge and skills, as well as a large amount of computing resources and storage space.

Security risks: Using open technologies such as AI, blockchain technology, and public vector databases may face security threats such as data leakage, tampering, and attacks, and effective protective measures need to be taken.

Legal obstacles: The use of innovative technologies such as AI, blockchain technology, and public vector databases may be incompatible or conflict with existing laws, regulations, and industry standards, and legal and compliant solutions need to be sought.

5. Application Scenarios and Value Creation

The distributed intelligent business market may have the following application scenarios and value creation:

· E-commerce platform: Using AI, blockchain technology and public vector database, it can realize more personalized and intelligent product recommendation and search, and improve users' shopping experience and satisfaction. At the same time, LLM, langchain and data enhancement can be used to generate richer and more interesting content for users, such as product descriptions, reviews, questions and answers, etc., to increase user participation and loyalty.

· Educational platform: Using AI, blockchain technology and public vector database, it can achieve more accurate and efficient learning resource matching and trading, and improve learners' learning effect and satisfaction. At the same time, LLM, langchain, and data-enhanced generation can be used to provide learners with more diverse and high-quality learning services, such as course design, homework correction, and exam questioning, to increase learners' interest and motivation.

· Entertainment platform: Using AI, blockchain technology and public vector database, it can realize more personalized and intelligent entertainment content recommendation and search, and improve users' entertainment experience and satisfaction. At the same time, LLM, langchain, and data-enhanced generation can be used to provide users with richer and more interesting content generation, such as video clips, lyrics creation, game scripts, etc., to increase user participation and loyalty.

6. Conclusion

The distributed intelligent business market is a new e-commerce platform model, which uses AI, blockchain technology and public vector databases to achieve data collection, value mining, knowledge precipitation and search efficiency improvement, as well as data security, privacy, Credibility and sharing, as well as data transactions, incentives and norms. This new e-commerce platform model can provide users with better and innovative data services, fairer and more interesting data interactions, and more reasonable and transparent data rules, thereby improving user experience and satisfaction, and increasing user participation and loyalty.

The distributed intelligent business market is an important symbol of the market's leap from the information economy to the digital economy. It embodies the value and potential of data as a new factor of production, and also demonstrates the impetus and driving force of technological innovation for market change. The distributed intelligent business market has an open and decentralized core, which can promote collaboration and competition among market players, stimulate market vitality and creativity, and promote market efficiency and fairness.

The distributed intelligent business market is also facing some technical, security and legal challenges, which require all parties to work together to strengthen communication and coordination to find reasonable and feasible solutions. At the same time, policies need to maintain a loose and supportive attitude towards technological innovation, encourage more entrepreneurs to participate in it, and contribute to the development of the distributed smart business market.

FlerkenS is a decentralized personal AI application platform, based on the Web3 network that helps users achieve digital transformation, and provides users with borderless digital and intelligent services.

FlerkenS builds an AI market, an AI publisher, and an open and scalable general artificial intelligence (AGI) system. AI-DSL enables AI applications and services of different types and fields to collaborate and interact with each other, through personal vectors Database (Personal Vector Database) + Langchain Technology Solution (Langchain Technology Solution) + large-scale model technology implementation path, allowing users to obtain personalized AI services, and realize point-to-point with service providers under AI technology in a distributed network environment The connection to build a distributed AI intelligent business and a distributed AI economy.

The first application of FlerkenS: Smart career planning based on Web3+AI, which can provide personalized career development suggestions based on users' personal information, interests, abilities and goals, including career planning, training and career recommendations wait. It can also help users solve workplace problems and improve professional skills and confidence through dialogue and interaction.