A game-changer for content creation
One of the AI-related technologies that has emerged in recent years is generative AI: deep learning algorithms that allow computers to generate original content such as text, images, video, audio, and code. And the demand for such content is likely to increase significantly in the coming years. Gartner predicts that generative AI will account for 10% of all data generated by 2025, compared to 1% in 2022.
Screenshot of Jason Allen’s work ‘Théâtre D’opéra Spatial’, Discord
“Théâtre D’opéra Spatial” is an example of AI Generated Content (AIGC) created with the text-to-art generator program Midjourney. In 2022, several other AI-powered art-generating programs have also appeared, capable of creating paintings from one-line text prompts. The diversity of technologies reflects a wide range of artistic styles and different user requirements. For example, DALL-E 2 and Stable Diffusion focus primarily on Western-style artwork, while Baidu’s ERNIE-ViLG and Wenxin Yige produce images influenced by Chinese aesthetics. During Baidu’s deep learning developer conference Wave Summit+ 2022, the company announced that Wenxin Yige has been updated with new features, including turning photos into AI-generated art, image editing and one-click video production.
Meanwhile, AIGC can also contain articles, videos and various other media offerings such as speech synthesis. A technology that generates audible speech that is indistinguishable from the original speaker’s voice. Speech synthesis can be applied in many scenarios, including voice navigation for digital maps. For example, Baidu Maps allows users to customize voice navigation to match their own voice by recording just nine sentences.
Recent advances in AI technologies have also led to generative language models that can fluently compose texts with just one click. They can be used for marketing copy generation, document processing, abstract extraction, and other text tasks, unlocking creativity that other technologies, such as speech synthesis, have not tapped into. One of the leading generative language models is Baidu’s ERNIE 3.0, which has been widely adopted in various industries such as healthcare, education, technology and entertainment.
“In the past year, artificial intelligence has taken a big leap and changed its technological direction,” said Robin Li, CEO of Baidu. “Artificial intelligence has grown from understanding images and text to generating content.” Baidu App, a popular search and newsfeed app with more than 600 million monthly users, including five million content creators, takes it a step further and recently released a video editing feature that can produce a short video accompanied by a voiceover created from data provided in an article. .
Improving efficiency and growth
As AIGC becomes more common, it could make content creation more efficient by getting rid of repetitive, time-consuming tasks for creators, such as sorting source material and voice recordings and rendering images. For example, aspiring filmmakers have long had to pay their dues by spending countless hours mastering the complex and tedious process of video editing. AIGC may soon make that unnecessary.
In addition to increasing efficiency, AIGC could also increase business growth in content creation amid the rising demand for personalized digital content that allows users to interact dynamically. InsightSLICE predicts that the global digital creation market will grow at an average annual rate of 12% between 2020 and 2030, reaching $38.2 billion. With content consumption rapidly outpacing production, traditional development methods are likely to struggle to meet increasing demand, creating a gap that AIGC could fill. “AI has the potential to meet this massive demand for content at a tenth the cost and a hundred times or thousands of times faster over the next decade,” says Li.
AIGC can also serve as an educational tool by helping children develop their creativity. For example, StoryDrawer is an AI-driven program designed to stimulate children’s creative thinking, which often declines as the focus in their education shifts to rote learning.