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How China is building a parallel generative AI universe

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Summary

In China, tech companies, entrepreneurs, and investors are rushing to make their mark in the generative AI space by building tools based on open source models. Regulations have been put in place to define how text, image, and video synthesis should be used, but US tech sanctions are raising concerns about China's ability to keep up with AI advancement. Chinese tech giants have captivated the public with their own version of generative AI tools, but they are also subject to local laws and censorship. Monetizing AI in China has become a popular trend, and there are many formal applications of the technology from light fiction writers to manufacturers. Competitors in China's SaaS space is fierce, and US tech sanctions have put a hindrance on Chinese tech firms' ability to invest in training large neural networks.

Q&As

What are the consequences of the recent advancements in machine learning models?
The consequences of the recent advancements in machine learning models include excitement about the future of AI, but also nervousness about uncomfortable consequences.

How have Chinese tech companies responded to the developments in generative AI?
Chinese tech companies have responded to the developments in generative AI by devising tools built on open source models to attract consumer and enterprise customers, and by creating new sets of regulatory measures targeting deep synthesis tech.

Are there any rules and regulations in place to govern the use of generative AI in China?
Yes, there are rules and regulations in place to govern the use of generative AI in China. These rules set boundaries and punishments for misuse, and require users to verify their names before using generative AI apps.

How are people monetizing AI in China?
People in China are monetizing AI in a variety of ways, such as by improving their prompts to trick AI into making creative emojis or stunning wallpapers, which they can post on social media to drive ad revenues or directly charge for downloads. They are also selling their prompts to others who want to join the money-making game, or even training them for a fee.

What are the roadblocks ahead for Chinese tech firms in the generative AI space?
The roadblocks ahead for Chinese tech firms in the generative AI space include U.S. tech sanctions, which are raising concerns about China’s ability to keep up with AI advancement, and the lack of high-end AI chips, which means computing will take longer and cost more.

AI Comments

👍 This article provides an in-depth look into the development and regulation of generative AI in China, and how tech companies are leveraging machine learning algorithms to make money.

👎 This article does not provide an adequate analysis of the potential ethical implications of using generative AI, which has already been abused to create inappropriate content.

AI Discussion

Me: It's about how China is building a parallel generative AI universe. It talks about the different AI tools Chinese tech companies are developing and the challenges they face due to U.S. tech sanctions. It also looks at how Chinese tech companies are using generative AI to make money, as well as the impact of China's regulations on the use of the technology.

Friend: It sounds like China is really trying to catch up with the West when it comes to AI. What implications could this have?

Me: Well, the article highlights some of the potential implications of China's efforts to develop a parallel generative AI universe. It could mean that Chinese tech companies will be able to access higher-end AI chips, which could give them an edge in the generative AI race. Furthermore, the Chinese regulations around generative AI could lead to more responsible use of the technology, as well as potentially disrupt manufacturing industries. However, it's also important to note that competition in China's SaaS space is fierce, and U.S. tech sanctions could create roadblocks for Chinese tech companies in the future.

Action items

Research the generative AI tools mentioned in the article, such as Stable Diffusion, DALL-E 2, ERNIE-ViLG, Tencent’s Different Dimension Me, Taiyi, and Kunlun.
Explore the implications of the Chinese regulations on generative AI and how they compare to other countries.
Investigate the ways in which people are monetizing generative AI in China, such as creating emojis, wallpapers, and consumer goods.

Technical terms

Stable Diffusion: A text-to-image tool developed by Stability AI.
DALL-E 2: An AI-based image-generating tool developed by OpenAI.
ERNIE-ViLG: A 10-billion parameter model trained on a data set of 145 million Chinese image-text pairs developed by Baidu.
Different Dimension Me: A tool developed by Tencent that can turn photos of people into anime characters.
Taiyi: An open source AI model trained on 20 million filtered Chinese image-text pairs and has one billion parameters developed by IDEA.
Kunlun: An AI chip developed by Baidu.