What is AIGC that the whole network is talking about?
What are AIGCs?
AIGC (AI Generated Content) uses artificial intelligence to generate the content you need, and GC means creating content. Among the corresponding concepts, PGC is more well-known, which is used by professionals to create content; UGC is the content created by users themselves, and AIGC, as the name implies, uses artificial intelligence to create content.
For example, ChatGPT, which is relatively popular now, is a relatively successful product in the big track of AIGC. Once it was launched, it swept the world and exceeded 100 million monthly active users in just one month. Such data must be higher than Tiktok, Facebook and other popular products. The historical data are more attractive.
In addition to the Q&A field represented by ChatGpt, AIGC has also launched many excellent products in other fields. Among them, the more mature development is the field of AI painting. AI will draw the picture you want according to your instructions.
At present, the AIGC track has become the most popular new outlet at present, and major manufacturers have laid out their layouts. If the 21-year-old Metaverse is called a "bubble", then the rise of AIGC will promote the development of the Metaverse and help the Metaverse Realize landing.
In the entire digital ecosystem, if Metaverse is a representative of web3.0, then virtual application scenarios are the most important output content of Metaverse.
When AIGC is integrated into the Metaverse, AIGC will definitely become an important part of the output of production content. Of course, AIGC has a wide range of functions and diversity, and will not be limited to a certain industry.
AIGC development history
Dating back to 2014, the proposal of "Generation Against Network" GAN became the deep learning model that was popular among major manufacturers at that time. Now it seems that this can also be regarded as the earliest practical framework of AIGC.
In the basic principle GAN adopts the idea of the game between the two, which is continuously generated and output by the generative model G, and input into the discriminant model D together with the training set for judgment, and then optimizes learning.
The generative model G and the discriminative model D play games with each other and learn together to achieve the optimum (the output generated by the generative model and the training set are put into the discriminant model and the output is 0.5, that is, it is impossible to determine whether the input is real data).
When the time comes to 2020, Web3+AI is successfully launched. Art Blocks, the leader of generative art NFT, is a successful application case. It is the first step of AIGC in the blockchain field.
Art Blocks randomly generated artwork platform, founder Erick Snowfro, is a platform focused on programmable and generative content, and the generated content is immutable on the Ethereum blockchain.
Its random process is managed by a number, and these numbers are first stored in the NFT on the Ethereum network. This number string controls a series of attributes of the artwork you purchased and finally generates a unique NFT according to your ideas.
For creators, they need to adjust and deploy their generated art scripts on Art Blocks in advance, and ensure that its output and input are correct, and then store the scripts on the ETH network through tools.
For collectors, when collectors cast a certain series of works, they essentially get a random hash value, and then the script is executed, and a pair of nft corresponding to this hash value is created.
CZ announced on Twitter that Bicasso, Binance's first AI product, was officially launched. Users can use AI technology to generate a brand new NFT after adding relevant descriptions to personal works. This is also the first launch of the "picture-for-picture" application in the blockchain field.
Before 2021, AIGC mainly generates text (written articles), and the formats that the new generation model can handle include: text, sound, image, video, action, etc. It can give full play to its technical advantages in terms of creativity, expressiveness, iteration, communication, and personalization.
AIGC Future Outlook
The maturity of AIGC also makes the landing of the Metaverse no longer just empty talk. It can not only truly help the future development of the Metaverse, but also greatly save labor consumption. With the help of AI, it can break through the shackles of the production process, unlimited application power and imagination , enabling the Metaverse to develop rapidly and produce high-quality content with high efficiency.
We have to believe that judging from the current development situation, a virtual chip may suddenly be launched one day in the future, allowing users to explore infinitely in the virtual world. At that time, we may have entered the era of web3.0 with curiosity and a novel sense of experience, just like facing chatgpt today, and opened a new metaverse era.
