The ultimate form of the meta-universe is yet to be determined. To support this journey, a huge amount of digital content is needed, which can’t be done through manual design and development. AIGC can solve this problem, as games are the first application to be implemented in the meta-universe. Both meta-universe and gaming have a common point: providing users with a high degree of realism and immersive experience. AIGC can greatly improve the game development efficiency.
AIGC stands for Artificial Intelligence Generated Content, which refers to the production of content through Artificial Intelligence technology. With the advent of 5G broadband networks, people are increasingly eager for more visually expressive digital content. The traditional digital content production efficiency has become a bottleneck in the new era. AIGC is an exploration hotspot and has aroused a lot of industry demand, which has opened up a new growing point for Artificial Intelligence technology.
The demand for content has been continuously increasing, moving from the Web 1.0’s unidirectional “read-only” mode of information transmission to the Web 2.0’s interactive mode of communication where people can interact with each other through the network. In order to meet this demand and due to the development of the internet, content production has gone through the process of PGC – UGC – AIGC.
Platforms such as Youtube, Instagram, Tiktok, Nightcafe, and Picas.ai have a large amount of content created by UGC creators. As we enter the era of Web 3.0, the comprehensive connection between humans and machine networks is formed through artificial intelligence, related data, and semantic network construction. The demand for content consumption is rapidly increasing, and the content generation methods such as UGC/PGC will be difficult to match the expanding demand. AIGC (AI Generated Content), which is automatically produced and efficient, is generated by AI. With the maturity of natural language generation technology NLG and AI models, AIGC has gradually attracted attention. Mixed Elements can currently automatically generate text, images, audio, video, 3D models, and even code. The emergence of AIGC has greatly promoted the development of the Metaverse, where a large amount of native digital content needs to be created with the help of AI.
Mixed Elements utilizes Artificial Intelligence to learn knowledge maps and automatically generate content, either to assist humans or to generate content completely by AI. It can not only help improve the efficiency of content production, but also increase the diversity of content. At the same time, Mixed Elements believes that the development space of AI-generated content technology is undoubtedly very broad. According to the prediction, in the next five years, only in the world, 10% -30% of the pictures will be generated or assisted by AI, and the corresponding market size will exceed 60 billion US dollars. By 2030, the AIGC market size may exceed trillion.
Training AIGC models requires a lot of data and powerful computing power, which leads to huge costs. Mixed Elements runs a cluster containing up to Nvidia A100 GPUs in AWS, which costs a lot of operating costs. If Token can be issued in a decentralized manner to motivate users to provide data needed for training models, the copyright problem of AIGC generation can be solved well. In addition, Mixed Elements believes that by issuing Tokens, users can be motivated to provide the massive computing power needed for training models, disperse computing power costs, achieve cost sharing and benefit sharing.
In summary, the development of Mixed Elements in the AIGC track can be divided into three stages: assistant, collaboration and original stage. In the future, Picas.ai will subvert the existing content production mode, and AI original content can be generated at one-tenth of the cost and hundreds or thousands of times faster. This means that creators will be freed from tedious basic work and devote more energy to creative expression. This is the overall trend of the content creation industry and even the human work mode in the future.