Robin Li said that the value of large models lies in creating new super applications or improving existing products.

According to news from this website on December 17, Robin Li, founder, chairman and CEO of Baidu, pointed out in his speech that it is not clear whether the greatest value of the large model is a brand new super application or a transformation of an existing application. But it's definitely the latter.

He believes that the value of large models may be the generation of new super applications or the transformation of existing products, such as Microsoft and Adobe. "Its embrace of large models has led to a significant increase in the revenue and profits it can generate from existing products."

He gave the example of Microsoft Office 365 Copilot for $30 a month. (Note from this site: currently about RMB 214), it can earn US$5 billion a year (currently about RMB 35.6 billion), which may be many times higher than OpenAI's entire annual revenue.

Robin Li said: In fact, it has created so much new value by transforming its existing products, so I think everyone still needs to pay more attention to the integration with their existing businesses.

“I think that once these companies that have been established in almost all industries turn a corner and can make good use of the capabilities of large models, the total revenue and value gain they will obtain must be the largest. Of course, this does not mean that startups have no opportunities. It is very possible for startups to make three or five Super Apps, and it is also very possible for startups to make hundreds or thousands of very valuable applications."

Robin Li also mentioned, "The war of hundreds of models is a huge waste of social resources, and more resources should be put into super applications."

He pointed out that there are three key points in the development of large models: Industry Policies encourage the development of AI native applications; existing companies can use large models to have a positive effect on core indicators; the emergence of super applications.

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