Worried about losing your job? Learn about AIGC, the "big guys" behind the popular ChatGPT and AI painting in one article

Recently, a "press release" about Hangzhou canceling traffic restrictions on March 1st was widely circulated. After investigation, it was found that this was a false news created by ChatGPT.

This paragraph comes from ChatGPT, not an authoritative publication, but it has fooled many people, showing its writing level. Many people even began to worry about whether they would lose their jobs because of it. Before this, we have made some introductions to ChatGPT. Click to review: "ChatGPT is popular all over the world, which may affect you who earn 3,000 yuan a month. Do you know it?"

But did you know that behind ChatGPT and the popular AI painting, there is a "big boss" - AIGC.

Gartner predicts that generative AI will account for 10% of all generated data by 2025. According to the analysis of Generative AI: A Creative New World, AIGC has the potential to generate trillions of dollars in economic value.

This article will explain what AIGC is, what AIGC technology is, AIGC application scenarios and other related content. Let's take a look!

What is AIGC?

AIGC stands for AI Generated Content, which refers to the use of artificial intelligence technology to generate content. AIGC is also considered to be a new content production method after UGC and PGC. AI painting, AI writing, etc. are all branches of AIGC.

The development speed of AIGC in 2022 is quite amazing. The reason is that the deep learning model is constantly improving, the open source model is promoted, and the large model explores the possibility of commercialization, which has become the "accelerator" of AIGC development. AIGC can be expressed in Chinese as: artificial intelligence automatically generates content.

What is AIGC technology?

AIGC uses artificial intelligence technology to generate content, that is, it can use input data to generate the same or different types of content, such as input text, generate text, input text, generate images, etc.

Before 2021, the content generated by AIGC was mainly text-based, while the new generation of models can process formats including text, voice, code, images, videos, robot movements, etc. AIGC is considered to be a new way of content creation after professional-generated content (PGC) and user-generated content (UGC), which can give full play to its technical advantages in terms of creativity, expressiveness, iteration, dissemination, and personalization. Visual information, in particular, has always had a strong dissemination power on the Internet and is easily perceived by the public. It has the advantages of being cross-platform, cross-domain, and cross-population, and is naturally easy to remember and understand. At the same time, visual information has a wide range of application scenarios, so generating high-quality images has become a phenomenal function in the current AI field.

Early AIGC technology mainly implemented simple content output based on the templates or rules formulated, which was far from flexible and real content generation. In recent years, the rapid development of artificial intelligence deep learning has brought about continuous breakthroughs in deep neural network technology in large models and multimodality. The most obvious manifestation is that a few years ago, AIGC mainly generated text. Today, the new generation of models can process any content format, including text, voice, code, images, videos, 3D models, game console buttons, robot movements, and so on.

What are the application scenarios of AIGC?

AIGC can inspire designers’ creative inspiration and improve content production efficiency in scenarios such as industrial design, animation design, photography art, and game production. At present, AIGC application scenarios in a broad sense can be roughly divided into two areas: To B and To C:

The application on the B-side is mainly through "AI+" to empower various industries; on the C-side, it is mainly through interaction with people to produce content, mainly including AI chatbots, AI painting, AI driving, AI assistants, AI-assisted text generation, etc.

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What is the application value of AIGC?

1

AIGC is able to undertake basic mechanical labor such as information mining, material retrieval, and replica editing with manufacturing capabilities and knowledge levels superior to those of humans, and from a technical level, it can meet massive personalized needs in a low marginal cost and high efficiency manner.

2

AIGC can foster new business forms and models by supporting multi-dimensional interaction, integration and penetration between digital content and other industries.

3

Assist the development of the "metaverse". Through AIGC, AIGC can accelerate the replication of the physical world and create unlimited content, thus achieving spontaneous and organic growth.

How do you view the future trend of AIGC?

According to Baidu founder, chairman and CEO Robin Li, AIGC will go through three stages of development in the future: assistant stage, collaboration stage and original stage.

In the first phase, AIGC will assist humans in content production;

In the second stage, AIGC appears in the form of a virtual human that coexists with both the real and the virtual, forming a situation of human-machine symbiosis;

The third stage is the original stage, where AIGC will independently complete content creation. Gartner predicts that by 2025, generative AI will account for 10% of all generated data.

The driving forces behind this change are:

01

Core technology upgrades and continuous development

AIGC's three basic capabilities include content twinning, content editing, and content creation, which will be gradually upgraded with the development of the industry.

02

Product types are gradually enriched

The continuous development and advancement of artificial intelligence will also make AIGC modalities no longer limited to the three basic forms of text, audio, and vision. Multiple information perception and cognitive abilities such as smell, touch, taste, and emotion will be transmitted in a digital form and guide artificial intelligence to create content, and even create another taste besides sweet, sour, bitter, and spicy.

03

Scenario applications tend to be diversified

At present, AIGC has been widely used in many fields, such as finance, media, entertainment, e-commerce, etc., and its application scenarios will be further diversified in the future. In addition to the horizontal expansion of application scenarios, the integration and interaction of scenarios is also one of the future development trends.

04

Ecological construction is becoming increasingly perfect

Continuous innovation in technology research and development will strongly promote content creation, improve the quality of generated content, make the content closer to human intelligence and aesthetic standards, and apply it to various industries and scenarios. The prosperous development of AIGC will promote the rapid follow-up of asset services, and through compliance assessment of generated content, asset management, property rights protection, transaction services, etc., it will form a complete ecological chain of AIGC, reshape its value, and fully release its commercial potential.