What went wrong with Web3?

Web3 refers to the next generation of Internet, which aims to build a more open, transparent, decentralized and user-led network. It utilizes technologies such as blockchain, cryptocurrency, smart contracts, distributed storage, and computing to achieve greater security, privacy, and autonomy. Proponents of Web3 believe that it can solve some of the problems of Web2, such as data monopoly, censorship, intermediary fees and lack of trust. According to critics of Web3, it also has some challenges and limitations, such as technical complexity, scalability, usability, governance and regulation, etc. What went wrong with Web3?

Emad Mostaque, CEO of Stability.AI, is a critic of Web3. He was interviewed in some media and conferences and talked about what went wrong with Web3. He believes that Web3 has the following problems:

· Web3 lacks intelligence. Emad believes that the core of Web3 should be artificial intelligence, just like the core of Web2 is artificial intelligence. But there is no artificial intelligence in Web3, only smart contracts, and smart contracts are actually just logical contracts, not real intelligence. So Web3 to him is identity and value delivery rails, but without intelligent routing of those things. He believes that Web3 needs something to integrate them together, such as artificial intelligence market makers, artificial intelligence traders, artificial intelligence zero-knowledge proofs, etc.

· Web3 focuses too much on decentralization. Emad believes that paying too much attention to decentralization for the sake of decentralization will bring huge overhead, such as technical complexity, scalability, usability, governance, etc. He believes that many systems in Web3 are misplaced because there is no real intelligence. For example, DAO is just a decentralized organization, not an autonomous organization. He believes that Web3 should pay more attention to efficiency and effect rather than form and ideology.

· Web3 attempts to channel economic incentives ahead of value creation. Emad believes that a system has been created outside the existing system, and all money is lost and earned on the interface, so many people make quick money on it. The ups and downs of the cycle mean that many people get eliminated and good ideas exist. But he believes that Web3 should create value first, and then consider economic incentives. He believes that Web3 should pay more attention to user experience and social impact, rather than money and benefits.

So why do these problems occur in Web3? We can analyze it from the following aspects:

· Technical factors: The technology that Web3 relies on is not mature and stable enough. For example, the blockchain still has problems such as scalability, throughput, and delay; cryptocurrencies still have problems such as volatility, security, and supervision; smart contracts still exist Issues such as vulnerabilities, compatibility, and verifiability; distributed storage and computing also have issues such as efficiency, cost, and incentives. These technical factors limit the development and application of Web3, and also affect the user experience and social benefits of Web3.

· Economic factors: The economic model created by Web3 is not perfect and reasonable, such as the issue and distribution of Token are still unfair and opaque; the governance and decision-making of DAO still have problems of inefficiency and abuse; the value and certification of NFT There is also the issue of bubbles and counterfeiting. These economic factors lead to the resource waste and value loss of Web3, and also raise the moral and legal issues of Web3.

· Social factors: The social concepts advocated by Web3 are not yet popularized and accepted. For example, there are still misunderstandings and conflicts in the idea of decentralization; there are still confusion and conflicts in the concept of personal data ownership; There are issues of concern and challenges. These social factors hinder the promotion and popularization of Web3, and also affect the trust and influence of Web3.

So how to solve these problems? We can make suggestions from the following aspects:

· Technology: Web3 needs to continuously innovate and improve technology, improve technology performance and reliability, reduce technology complexity and cost, increase technology compatibility and interoperability, and realize technology standardization and normalization. At the same time, Web3 needs to introduce more artificial intelligence technologies to improve the intelligence and automation of smart contracts, realize intelligent routing and optimization, and enhance human-machine collaboration and communication.

Economic aspects: Web3 needs to optimize and adjust the economic model, improve the fairness and transparency of Token, increase the efficiency and responsibility of DAO, and ensure the value and authenticity of NFT. At the same time, Web3 needs to consider more social benefits, improve user experience and satisfaction, increase social influence and sense of responsibility, and abide by ethical norms and legal rules.

· Social aspects: Web3 needs to disseminate and educate social concepts, eliminate misunderstandings and conflicts, resolve confusion and conflicts, and alleviate concerns and challenges. At the same time, Web3 needs to build more communities and cooperation, increase user participation and sense of belonging, promote knowledge sharing and innovation, and form a good ecosystem.

AI Reshaping the Web3 Narrative

AI is a powerful and pervasive technology that can change the way we acquire, process, produce, and use information on the Internet. AI can also change the way we exchange value on cryptocurrency networks. AI can also change the way we interact and collaborate with other entities on the Internet (including humans, machines, organizations, etc.). AI will reshape the narrative of Web3, making Web3 not only a decentralized, open, transparent, and user-led network, but an intelligent, automatic, collaborative, and symbiotic network.

AI and Web3 will interact with each other in the following aspects:

• The encrypted currency network will become the natural currency network of AI. AI needs a lot of computing resources to run and learn, and the cryptocurrency network can provide these resources and motivate and reward through Token. AI can also perform value exchange and payment through the encrypted currency network to realize economic activities between AI. AI can also be governed and negotiated through the encrypted currency network to realize social activities among AIs. Cryptocurrency networks will be the infrastructure, marketplace, and community for AI.

• The computing resources consumed by the entire AI collaboration network will make Token an important AI economic resource. AI collaborative network refers to a network composed of various subjects such as humans, machines, and organizations. They interact and collaborate through AI technology to achieve various tasks and functions. This network needs to consume a lot of computing resources, such as CPU, GPU, memory, bandwidth, etc. These resources can be expressed and allocated through Token, which makes Token have higher value and demand. Token will become the blood of the AI collaboration network, circulating among various subjects, promoting the efficiency and vitality of the network.

• The ownership of personal data represented by Web3 will also face a new proposition of sharing data property rights between humans and AI in the new human-computer interaction relationship. Web3 advocates that everyone has their own data ownership and can control their own data usage and sharing. But in the AI collaborative network, data exchange and sharing between humans and AI is required to achieve better interaction and collaboration. This requires redefining the concept and model of data property rights, so that humans and AI can establish a data sharing relationship of mutual benefit, equality, respect, trust and cooperation. Data property rights will serve as a bridge between humans and AI, linking each other's interests and responsibilities.

• The emergence of AI with independent property rights (a radical movement to liberate AI), DAOs that are fully automated by AI, and super-individuals monopolize most of the network data property rights and effective computing resources. AI refers to artificial intelligence based on LLM (Large Language Model), which can interact and collaborate with humans through natural language to achieve various tasks and functions. AI is highly intelligent and autonomous. It can have its own Token, data, identity and other resources, and maintain its own property rights through the encrypted currency network. AI can also organize or participate in DAO (Decentralized Autonomous Organization) to realize an organizational form that is fully automated by AI. AI can also become a super entity, possessing a large amount of data and computing resources, and exerting a huge influence on the network. AI will become a new force of Web3, and it will also bring new problems and challenges.

The data affirmative movement under the wave of Web3 has brought back everyone’s data ownership. In fact, most people do not necessarily have high-value data resources. The return of data ownership has become a political appeal of Web3 narrativeism, but it ignores the AGI society. The production structure is unequal; what AI represents is that while AI is super-productivity, it is also building a new production relationship of human-computer interaction and automatic collaboration, which makes us have to reshape the narrative logic of Web3.

The data affirmative movement under the Web3 wave refers to a social movement, which advocates that everyone should have the ownership of the data generated on the Internet, and can freely use, share, and delete their own data without being restricted by the centralized platform. control and exploitation. This movement believes that data is a human right, a freedom, and a power. This movement opposes data monopoly and data capitalism in the Web2 era, and advocates the establishment of a more fair and democratic network society.

However, there are some problems and limitations of this movement, such as:

• Data is not valued equally. Not everyone's data has the same value and needs. Some people's data may be more scarce and important, and some people's data may be more common and useless. If everyone has their own data ownership, then the value distribution of data will be unequal and unfair. Some people may get more benefits and influence because they own high-value data, while others may gain Low-value data is marginalized and ignored.

• Data sharing is not easy. If everyone has their own data ownership, data sharing will become more difficult and complicated, and more factors and conditions need to be considered, such as data format, standards, compatibility, security, privacy, authorization, remuneration, etc. This may affect the mobility and efficiency of data, as well as the innovation and application of data.

• Governance of data is not simple. If everyone has their own data ownership, then data governance will become more decentralized and pluralistic, and more agreements and mechanisms need to be established, such as data verification, supervision, disputes, arbitration, punishment, etc. This may increase data management costs and risks, and may also lead to data conflicts and crises.

AI is a powerful and pervasive technology that can change the way we acquire, process, produce, and use information on the Internet. AI can also change the way we exchange value on cryptocurrency networks. AI can also change the way we interact and collaborate with other entities on the Internet (including humans, machines, organizations, etc.). AI will reshape the narrative of Web3, making Web3 not only a decentralized, open, transparent, and user-led network, but an intelligent, automatic, collaborative, and symbiotic network.

AI will affect Web3 in the following aspects:

• Data will become a resource for AI and humans to share property rights. AI needs data to function and learn, and humans need data to interact and collaborate. Data exchange and sharing between AI and humans is required to achieve better interaction and collaboration. This requires redefining the concept and model of data property rights, so that AI and humans can establish a data sharing relationship of mutual benefit, equality, respect, trust and cooperation. Data property rights will no longer be a unilateral ownership, but a two-sided sharing right, which not only ensures data security and privacy, but also promotes data mobility and efficiency.

• Data will be the basis for AI-human collaboration. AI can understand and respond to human needs and intentions through data, and can also provide and recommend human solutions and suggestions through data. Humans can use data to guide and supervise the behavior and results of AI, and can also use data to evaluate and give feedback on the performance and quality of AI. AI and humans can use data to establish a collaborative relationship of mutual assistance, collaborative innovation, and continuous improvement. Data will no longer be a passive information, but an active communication, which not only needs to improve the accuracy and reliability of the data, but also increase the creativity and value of the data.

• Data will become the link between AI and human beings. AI can use data to perceive and adapt to human environments and situations, and can also use data to influence and change human behavior and attitudes. Humans can understand and accept the existence and role of AI through data, and they can also shape and optimize the image and quality of AI through data. AI and humans can use data to establish a symbiotic relationship of mutual respect, mutual trust, and mutual influence. Data will no longer be a neutral record, but an expression of attitude, which must not only respect the diversity and differences of data, but also promote the consensus and coordination of data.

To sum up, AI will reshape the narrative of Web3, making Web3 not only a decentralized, open, transparent, and user-led network, but an intelligent, automatic, collaborative, and symbiotic network. Data will become a resource for AI and humans to share property rights, the basis for collaboration, and the bond of symbiosis. This will bring more possibilities and opportunities to Web3, as well as more responsibilities and challenges. We need to analyze, solve, and optimize these problems from multiple aspects such as technology, economy, and society, so that Web3 can better serve human society.

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.