Background
The peer-to-peer transaction paradigm that does not rely on trusted third parties, introduced by the development of Satoshi Nakamoto's Bitcoin in 2009, kicked off the construction of trusted cypto assets on distributed networks based on blockchain technology.
In 2014, Vitalik Buterin created the code-is-law smart contract paradigm on Ethereum, and Gavin Wood, co-founder of Ethereum, proposed the Web3 production relationship of Read, Write, and Own. Since then, a decentralized application (dapp) ecosystem has emerged, with various DeFi, SocialFi, and GameFi projects springing up. OpenAI's release of ChatGPT at the end of 2022 ignited the AI market with the explosive emergence of AI applications in various modalities and scenarios. Thanks to the valuable data embedded in human society created by societal activities, AI technology has been able to iterate rapidly, and AIGC has enabled the geometric growth of high-quality data. However, it is noteworthy that the conflicts about data in human society is no longer between the massive demand for quality data and the relatively low data productivity of human beings, but rather between the advanced data productivity brought by AI and the backward value distribution. It's clear that while AI creates some new jobs like prompt engineers, it also results in the fear of unemployment in some groups such as designers. Moreover, content providers, as important contributors of creating the metadata for AI training, aren't being rewarded as much as they should be when AI companies are making huge profit out of their works. What makes it even worse is the byproduct of untransparent datasource: deep fakes, we can't distinguish materials from the internet whether it is from a real person or just machine-generated. This can bring enormous cost to our life. Therefore, we believe changes need to take place.
Accordingly, we aim to build an increasingly complete Web3+AI ecosystem, so that the next-generation decentralized human-AI network that can benefit the majority of humans can be realized soon.