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From the moment of AI's birth, there will be a lot of statistics and predictions every year to analyze which jobs will be replaced by AI in the future. From assembly line workers to telephone customer service, from manuscript proofreading to financial accounting, in the early years of AI, human job anxiety still remained in these basic and trivial types of work. At that time, there seemed to be a bottom line in everyone's mind - as long as they were engaged in creative work, they would not be replaced by machines. However, with the development of technology, from analytical AI to creative AI, machines also began to generate new things that did not exist - poetry writing, painting, and game development.
For computers, content=information (data)+carriers (audio, video, text, etc.). As long as information is input and carriers are selected, AIGC can automatically generate corresponding content.
What is AIGC?
AIGC (AI Generated Content) is to use AI to generate the content you need. GC means to create content. The corresponding concept is PGC, which is used by professionals to create content; UGC means that users create their own content. As the name implies, AIGC uses AI to create content.
For example, ChatGPT, which is now popular, is a relatively successful product in the AIGC competition. Once launched, it has swept the world, breaking through 100 million active users in just one month
In addition to the question and answer field represented by ChatGpt, AIGC has launched many excellent products in other fields. One of the more mature areas is AI painting. AI will draw the pictures you want according to your instructions.
At present, the AIGC track has become the most popular new air outlet at present, and the major factories have laid out one after another.
AIGC History
Back in 2014, the proposal of the "confrontation generation network" GAN became a popular in-depth learning model for major manufacturers. Now it seems that this can also be regarded as the earliest practical framework of AIGC.
Before 2021, AIGC will mainly generate text (proxy articles), while the new generation model can process format content including text, sound, image, video, action, etc. It can give full play to technical advantages in creativity, expressiveness, iteration, communication, personalization, etc.
In 2022, AIGC will develop at an amazing speed. At the beginning of the year, it is still in the stage of unfamiliar skills. A few months later, it will reach the professional level, and the product achievements will be enough to fake.
The combination and future prospect of game industry and AIGC technology
The shock brought to us by the last round of AI may be traced back to 2016, when Google AlphaGo defeated the world Go champion Li Shishi. However, after being amazed, we found that AlphaGo's breakthrough in the field of Go may be just a "technological show", which did not create much industrial value.
Su Jianfeng realized that the core technology behind AIGC is generative AI, which is no longer just analysis, but began to try to create new things. This time, the emergence of AIGC, represented by AI painting, is not only "technology dazzle", but also represents the future advanced productivity. It is predicted that the content created by AI will change from the R&D stage to a part of the core business.
As early as 2021, Su Jianfeng, the chairman of IFUN GAMES, led the team to devote themselves to the research field of AIGC, advocating that the R&D team use AI to paint. The producers can generate corresponding images through short text descriptions, and the generated images become more and more accurate as the granularity of text descriptions continues to refine. AIGC can create content with unique value and independent perspective at a cost of one tenth or even lower and a production speed of thousands of times, which will definitely bring great changes to the content production field. In the era of AIGC, everyone can quickly create high-quality content, and both content creators and content consumers will benefit significantly. The game industry where IFUN GAMES is located is just a bridge connecting content creators and content consumers.
Therefore, Su Jianfeng firmly believes that the maturity of AIGC will greatly save labor consumption. With the help of AI, the shackles of game production will be broken, and the unlimited application and imagination will enable the game industry to develop rapidly and produce high-quality content efficiently.
AI grabs jobs?
Since last year, AIGC has always been one of the hot topics. DALL-E 2, Stable Diffusion and ChatGPT have constantly refreshed the public's understanding of AI.
In particular, the CharGPT of this year's fire made a series of posts really feel the direct impact of AI. This position includes but is not limited to customer support, thesis author, court lawyer, illustrator, lecture writing, etc.
With the emergence and improvement of more AI, it can be predicted that more and more positions will be affected. These changes will not happen in a leap, but as Bill Gates, the founder of Microsoft, said, we always overestimate the changes in the next two years and underestimate the changes in the next 10 years.
The fact has happened. Whether we like it or not, we can't escape the direct impact of AI.
The chairman of IFUN GAMES suggested that when the trend of AI is like the tide, it is better to embrace the times and find a new foundation than to resist the tide.
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