36C Founder Empowerment Platform: Seven Keywords About AI and Web3

Author: 36C Founder Empowerment Platform

Recently, many people have heard the same viewpoint from different channels: AI + Web3 will redo applications across all industries. So how will this be redone?

At the Wanxiang Blockchain Conference on September 19, several heavyweight guests shared their latest observations and predictions on the evolution of AI and Web3 technologies. Come and see if you have grasped these key technological terms and viewpoints!

Web3.0 encompasses technologies related to the internet, blockchain, metaverse, AGI, and more; it is a general term. Web3.0 not only includes technology but also involves innovative business models, organizational forms, economic mechanisms, and financial models. Mr. Xiao mentioned a hot keyword, RWA (tokenization of real-world assets), and noted that Hong Kong financial institutions are making attempts in this area.

Professor Zeng Ming believes that cryptocurrency and the metaverse are the two main sources of Web3, driving the concept of Web3 forward.

In the past, there have been very few successful cases of traditional enterprises' digital transformation and the digitization of traditional assets like RWA (real-world assets) because this is not a simple migration; the costs and values are not aligned.

Web3 needs to create new digital assets, which may come through three avenues: the first is continuous innovation in the financial sector, integrating with cryptocurrency and blockchain to form advantages in productivity and production relations; the second is the new applications in gaming and social media that we have always anticipated; particularly emphasized is the third avenue, AGI (Artificial General Intelligence). AGI and cryptocurrency are a perfect match; cryptocurrency is a revolution in production relations, while AGI is a technological breakthrough in productivity that will create a large number of native digital assets. Based on the above, he believes that the development of AI requires cryptocurrency and infrastructure.

Professor Lan Zhenzhong believes that large models correspond to productivity and production relations in Web3. Large models greatly enhance productivity levels, but to function well, they must have corresponding production relations to match.

As large models continue to grow, intelligence improves, and costs decrease, there is potential for widespread automation. In the future, human-computer interaction will be more intelligent, and Web3 may solve cost and privacy issues, allowing large models to be widely applied across various industries, becoming an assistant for everyone.

If you are unfamiliar with the keywords, viewpoints, and ecological logic mentioned in this article, sign up for the InnoAI Future Creation Camp now! Join forces with outstanding individuals to create the future.

"About 36C

36C is a founder empowerment platform that helps founders find people, money, and resources, accompanying them to understand market trends, grasp technological trends, and delve into practical scenarios, while joining a high-quality alumni circle to establish a forward-looking and practical entrepreneurial and strategic perspective.

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