(The English version follows)

最近 Forbes 采访了李开复，请他回答了一些关于 AI ，关于中国科技业，以及关于创新工场投资逻辑的问题。这篇访谈还是挺有见解的。

China Has Caught Up To U.S. In AI, Says AI Expert Kai-Fu Lee

China has—thanks to data, AI, and the entrepreneur ecosystem—rapidly evolved from a copycat into a true innovator.

Contrast that with the more recent natural language breakthroughs. Google published an academic paper on the subject, and in just two years just about every commercial company has it in their products.

Arguably, there are no breakthrough AI technologies in TikTok. It is excellent execution, lots of data, iteration and aggressive growth. I think that is the formula that led to the Chinese consumer AI success.

Instead of seeking rocket science AI companies, we seek companies that have data. Data that is well structured, large in quantity, connects to a business metric and ideally is proprietary.

An engineer who is unaware or does not care about other people could make some very dangerous products.

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Forbes interviewed Kaifu Li, with questions about AI, about technology development in China, and about the investment logic behind Sinovation. This is an insightful interview.

China Has Caught Up To U.S. In AI, Says AI Expert Kai-Fu Lee

China has—thanks to data, AI, and the entrepreneur ecosystem—rapidly evolved from a copycat into a true innovator.

Contrast that with the more recent natural language breakthroughs. Google published an academic paper on the subject, and in just two years just about every commercial company has it in their products.

Arguably, there are no breakthrough AI technologies in TikTok. It is excellent execution, lots of data, iteration and aggressive growth. I think that is the formula that led to the Chinese consumer AI success.

Instead of seeking rocket science AI companies, we seek companies that have data. Data that is well structured, large in quantity, connects to a business metric and ideally is proprietary.

An engineer who is unaware or does not care about other people could make some very dangerous products.

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