On October 9, it was reported that the so-called "generative AI", which has emerged in recent years, is attracting the interest of Silicon Valley technology giants and venture capital institutions. This AI can generate images matching with a small number of words in a few seconds. Analysts predict that this technology will be widely used in all walks of life and generate trillions of dollars in economic value. Although the images generated by these computer programs are not perfect, such as redundant fingers on the hands, unnatural bending of limbs, etc. At the same time, image generators also encounter problems when processing text, such as generating meaningless symbols. However, these image generation programs may be the beginning of a technological boom. David, investor of NextView Ventures, a venture capital firm in Silicon Valley? David Beisel said: "In the past three months, the word 'generative AI' has become a buzzword." Since 2021, the generative AI technology has made great progress, and even inspired many people to quit their jobs to start new companies, dreaming that AI can provide power for a new generation of technology giants in the future. In the past five years or so, the AI field has always been in a booming stage, but most of these advances are related to understanding the existing data. The AI model has become efficient enough to identify whether there is a cat in the picture that people just took with their mobile phones. In addition, these models are reliable enough to provide billions of search results for Google's search engine every day. However, the generative AI model can generate something completely new that was not previously available. In other words, they are creating, not just analyzing, data. Boris, founder of AI and machine learning platform Craiyon Productive AI? Boris Dayma said: "The most impressive thing is that generative AI can also create new things. They can not only create similar old images, but also create new things completely different from the past." Sequoia Capital, a well-known venture capital company in Silicon Valley, said in an article on its website: "From games to advertising to law, generative AI may change all fields that require human creativity to play a role. This technology may generate trillions of dollars in economic value." More interestingly, Sequoia Capital also pointed out in the post that part of its above articles were written by GPT-3, which itself is a generative AI capable of generating text. Working principle of generative AI The technology used for image generation comes from a subset of machine learning, called deep learning. Since a landmark paper on image classification rekindled people's interest in this technology in 2012, deep learning has promoted most of the progress in the AI field. Deep learning uses models trained on large data sets until the program understands the relationships in these data. Then, the model can be used for applications, such as identifying whether there is a dog or a translator in the picture