Although Zuckerberg started the "meta universe" a little late last year, his journey has returned to the mainstream consumer market and the center of public opinion. Obviously, this cycle has slowly started DALL-E again this year. After StableDiffusion has continuously ignited the entire network, the recent appearance of ChatGPT has added a new fuel to this AI craze. The following content will answer for you.
1、 What should AI rely on for survival when the entrepreneurs and big factories started to confront each other behind the continuous going out of the circle of painting?
In the science and technology industry of the past decade, the only future science fiction can be comparable to the future science fiction. VR only has the concept of matching. AI also has some common ground between the two on the practical level.
Although Zuckerberg started the "meta universe" a little late last year, his journey has returned to the mainstream consumer market and the center of public opinion. Obviously, this cycle has slowly started to DALL-E this year. After StableDiffusion has continuously ignited the entire network, the recent appearance of ChatGPT has added a new fuel to this AI craze.
Of course, the ultimate goal of both technology giants and start-ups is to commercialize AI technology successfully to achieve profits. If we want this boom to cool down as quickly as before, it will be the key to AIGC's entrepreneurship to establish a benign interactive ecosystem with end consumers. In the 2022 "text generated image" AI model fire, such as DALL-E and StableDiffusion, universal AI technology and possible applications will return to the public's view again.
Of course, in this process, the emergence of some milestone events also plays a key role.
Of course, each round is about the different hot spots of the AI entrepreneurial boom and investment boom. Compared with the previous rounds, the core differences between the "text generation image" leadership of AIGC this year and the previous ones are actually reflected in two levels.
The most typical is that the popularity behind ChatGPT is obviously inseparable from the super popularity of "Internet celebrity" Elon. At the beginning of this month, Musk's strong praise made many ordinary users know the existence of this product overnight.
In the past, almost all important technological breakthroughs of AI were packaged as paid products by commercial companies, which was difficult for ordinary users to reach. But this time, open source and openness have become the mainstream from StableDiffusion to DALL-E, which has been continuously opened by OpenAI. This new trend has also made it a new focus whether AI can really become a popular consumer product.
At present, AIGC has no doubt that the popular company is StableAI of StableDiffusion. This company is not the first one to set foot in this field, but it will boldly develop an open source plan and quickly form an influence beyond the AI field. Recently, StableAI has completed a financing of more than 100 million dollars, with a valuation of more than 1 billion dollars. It is not only these people who quickly stand on the wind, but also AI large companies are eager to quickly enter this field and share a share.
2、 How does AIGC write commercialization for selling products or services?
In addition to the legal copyright and creation ethics debate at AIGC, with more and more resources and capital investment, more and more related products may be launched in 2023.
For more startups, they can use the ready-made open source AI. Of course, the model can avoid many detours. But in the end, no matter whether these users are C-end or B-end, their product composition still needs a good enough business model to attract end users.
If you are selling products, AIGC is based on powerful technical functions. Entrepreneurs need to face nature or content creators most directly. AI intelligent image text to video, AI painting and other tools have greatly improved the creative efficiency of content creators.
At the same time, the platform itself continues to develop and launch intelligent AI materials, which also provides more material choices for content creators.
For now, most AIGC entrepreneurial platforms are still in the stage of rapidly accumulating original users.
Compared with how to quickly realize the platform functions and product services, it is obviously more realistic to continuously improve the platform functions and product services, but the ultimate commercialization is actually a touchstone to judge the company's product capabilities. From this perspective, it is more feasible for AIGC to implement B-end services.
In fact, AIGC platform can also be similar to the commercialization of gettyimages. Because it relies on technology to participate in content creation, as a content creation AI, as long as it can reasonably formulate a sharing mode and maintain commercial copyright, the platform itself will be in a more favorable position, and AIGC will eventually form a sufficiently standardized material library platform.
At the same time, whether it is AI painting, text to video or ChatGPT, a remarkable feature is that they are very good at generating content in a fixed format, especially the large amount of content on the Internet today, which accounts for a large share of Internet advertising marketing. Similar to the demand for content generation and a large number of fixed routines, AIGC is undoubtedly easier than human beings to give results quickly.
If all goes well, we will certainly see different AIGC technology combinations in different fields. When content generation becomes simple and efficient enough, the meta universe space urgently needs high-quality content filling, which will undoubtedly become AIGC. After all, the next broad battlefield and the next broad battlefield will compete for the arrival of AIGC. In the virtual currency bear market, NFT rarely ushers in a wave of small spring.
summary
To sum up, with the rapid entry of large companies and start-ups, AIGC related technologies will be rapidly delivered to enterprises or individual users through various products in the future. For creators in the fields of text, images, companies and even programmers, the emergence of the next batch of products will bring about huge paradigm changes. AI imagination and creativity may be frightening again and again, but entrepreneurs who can really see the opportunity will obviously not miss this greedy opportunity.