The integration of Web3 and AI is becoming an inevitable trend. The two fields are no longer parallel lines of independent development, but are increasingly intertwined.
Written by: Cynic, Shigeru
*This article is the pilot article of the Web3 x AI series of research reports. *
Introduction
In today’s era of rapid technological development, the integration of Web3 and artificial intelligence (AI) is becoming an inevitable trend. These two fields are no longer parallel lines of independent development, but are increasingly intertwined to shape our digital future.
Web3, as a decentralized and distributed network concept, provides a fairer and more transparent digital space. Its core concept is that users have power, giving users control over their own data through blockchain and encryption technology. AI is one of the main driving forces driving the development of this era. It improves the speed and quality of decision-making, optimizes user experience, and plays a huge role in data processing and analysis by learning and imitating human intelligence.
When these two are combined, we can foresee a new internet experience. In this world driven by AI and supported by Web3, we can not only see more personalized and intelligent services, but also experience unprecedented data security and transparency. AI can exert its analysis and prediction capabilities within the Web3 framework, and Web3 provides AI with a decentralized data platform that is not easily tampered with.
This convergence heralds a smarter, more decentralized digital future. In this future, technology not only serves humans, but is closely connected with human lifestyles, values, and goals. The combination of Web3 and AI is not only a technical integration, but also a prediction and shaping of future social forms and culture.
The CGV Research team will launch a series of research reports focusing on “the integration of Web3 and artificial intelligence (AI)” to explore the combination of AI technology and Web3’s Defi, NFT, computing power, data management and other application scenarios, and explore the innovation of Web3 and AI technology Boundaries, discover more practical and cutting-edge Web3×AI solutions.
Web3: The next generation Internet that safeguards personal sovereignty
Web3 is the next generation Internet with decentralization and blockchain technology as its core, aiming to build a new value system in which users have digital sovereignty. The development goal of Web3 is to break the monopoly of data by Internet giants and enable users to control the content and data assets they create.
The purpose of the Internet is openness, freedom, and sharing. If the Internet giants of Web2 use centralized servers to extract user data, which is contrary to the spirit of the Internet, then the open, transparent, and decentralized Web3 returns the control and ownership of data to individual users, which is a renaissance in the new era.
In the early days, Web3 mainly focused on financial scenarios, with cryptocurrency and decentralized finance Defi being the main application scenarios. Nowadays, the application fields of Web3 have been greatly expanded. Games, social networking, and governance have become new growth points of Web3. Many traditional business formats are moving to Web3.
AI: A new round of industrial revolution driven by data and computing power
AI simulates human intelligence through computer systems, allowing computers to possess cognitive capabilities. The core lies in reasoning, learning and self-correction.
Early AI used data sets in a single field to train specialized models to handle specific tasks. The main application areas include computer vision (CV), natural language processing (NLP), etc., which can be called AI 1.0. The emergence of large language models (LLM) represented by ChatGPT represents the development of artificial intelligence technology entering the 2.0 era. AI 2.0 uses massive cross-domain data and is supported by super computing power to train general models with high generalization capabilities that can perform a variety of tasks. Large models for specific application scenarios only need fine-tuning to be implemented, with low marginal costs and more conducive to large-scale commercial use.
General artificial intelligence in the AI 2.0 era has excellent capabilities in seven dimensions, including text generation, language understanding, knowledge question and answer, logical reasoning, mathematics, code, and multi-modality. Its productivity has been greatly expanded, and it has become a new aspect of human society since the Internet revolution. Growth engine.
Web3 x AI: an inevitable trend in the development of digital economy
From a macro perspective, Web3 and AI may have two opposite cores. Web3 emphasizes decentralization, while AI is often centralized due to the huge computing power requirements for model training. But the two are not antagonistic, but complementary. Web3 represents the most advanced production relations, where individuals truly own their own data, content, and property, and sovereignty is returned to individuals; AI represents the most advanced productivity, liberating humans from tedious and repetitive work. The combination of the two is an inevitable trend in the development of digital economy.
On the one hand, Web3 brings decentralized production relations to AI, and combines the open, transparent, and verifiable characteristics of blockchain to solve user incentive problems. Generative AI has greatly lowered the threshold for creating high-quality content, and Web3 allows users to reap the benefits of their high-quality content. With the help of blockchain, all users’ contributions can be recorded openly, transparently, and cannot be tampered with, and they can benefit from it, stimulating individual creative enthusiasm.
On the other hand, AI makes Web3 intelligent, improves production efficiency, broadens application scenarios, and improves user experience. Generative AI helps speed up the creative process, improves content quality and diversity, gives individuals greater productivity, broadens the boundaries of innovation, and allows Web3 innovation to be born at a lower cost. “A person is a team.” With the help of AI, Web3 products can provide more intelligent services, lower the threshold for user participation, and promote large-scale adoption.
Rebirth of all industries: Implementation scenarios of Web3 x AI
After years of research and development, the Web3 and AI industries have become capable of large-scale implementation. The singularity of the digital economy is approaching, and many fields will be baptized by Web3 x AI and burst with new vitality.
At the physical layer, PoW mining machines can be combined with AI model training to fully release computing power. With the rise of large models headed by ChatGPT, computing power has become a key factor restricting the development of AI. However, only a few giants can obtain massive computing power, hindering further innovation in the AI field. In this context, a decentralized network called DePIN emerged. By integrating cutting-edge technologies such as blockchain, DePIN can effectively integrate globally dispersed computing resources and data, creating an open and shared computing infrastructure framework. This network provides a continuous and reliable resource ecological environment for AI models, making training and running AI models more feasible and sustainable.
At the data layer, Web3 can encourage users to generate better data and further improve the quality of AI models. The bottom layer of AI is actually three components, algorithm, computing power and data. Data is the most critical factor that determines the quality of AI models. Currently, most AI models are trained using public data, which is low-cost and difficult to guarantee quality. Higher quality data is the basis for efficient AI models. Users in traditional markets cannot obtain value from the data they generate, but Web3 allows users to regain data sovereignty, benefit from it, and have positive incentives to produce higher quality content.
At the application layer, AI can make past Web3 applications more intelligent and optimize user experience. The security of DeFi has always been the Sword of Damocles hanging over everyone’s heads. AI-powered contract auditing will greatly reduce the possibility of contract security vulnerabilities. In the field of NFT and games, AIGC can reduce the difficulty of material creation and accelerate innovation. In terms of DAO governance, AI can not only provide advice to managers as an auxiliary, but can also directly participate in governance as a member of governance, increasing the dimension of governance.
Imagine the integration of Web3 and AI: creating a new era of digital economy
2023 is the year when miracles are born. Web3 will usher in large-scale adoption, and high-quality projects in the social and gaming fields will have a circle-breaking effect; AI has officially entered the 2.0 era, and large language models empower all industries, which will soon lead to innovation singularities.
The CGV Research team believes that the integration of AI and Web3 not only creates a new realm of technology, but also heralds profound changes in society, economy and even culture. This integration gives individuals greater digital sovereignty and creativity, while bringing more efficient and smarter productivity and services to the entire society. With the continuous advancement of technology, we will usher in a more decentralized and intelligent digital future, in which the value and contribution of individuals are fully respected and rewarded.
CGV firmly believes that Web3 x AI is an inevitable trend in the digital economy, and more and more unicorn projects may be born. CGV and builders stand together to create the AIFocus accelerator to provide all-round support for builders on the Web3 x AI track and jointly build the future of Web3 x AI. Standing at the intersection of Web3 and AI technologies, AIFocus Accelerator eagerly invites innovators and developers from around the world to join this historic journey.
