Tang Daosheng, senior executive vice president of Tencent Group and CEO of the Cloud and Smart Industry Business Group, published an article in Tencent's internal publication “Knowledge Point”. Tang Daosheng said that this article was completed by him in collaboration with AI, and AI has gone from being a simple execution tool to a collaborative partner that assists in thinking. In the article, Tang Daosheng confronted external comments that “Tencent is slow to make AI.” He admits that the pace of the global big model competition is fast, and friends and merchants are prominent in the ToB market. Coupled with insufficient computing power, it is inevitable that there is internal anxiety. However, he judged that the AI competition is not a sprint, but a marathon. Currently, the industry has only just started, and the market pattern and business model have not yet been defined, so surviving for a long time is more important than getting up early. Being able to invest for a long time and grasp the needs of real scenarios is the key to getting through the cycle. At the AI implementation level, Tang Daosheng proposed that the industry should not only focus on the big model itself; algorithms determine the upper limit, and engineering capabilities determine the speed of implementation. Scenario is Tencent's core advantage. He emphasized that two aspects of change remain the same: long-term doctrine, and putting people first.

Tang Daosheng, senior executive vice president of Tencent Group and CEO of the Cloud and Smart Industry Business Group, published an article in Tencent's internal publication “Knowledge Point”. Tang Daosheng said that this article was completed by him in collaboration with AI, and AI has gone from being a simple execution tool to a collaborative partner that assists in thinking. In the article, Tang Daosheng confronted external comments that “Tencent is slow to make AI.” He admits that the pace of the global big model competition is fast, and friends and merchants are prominent in the ToB market. Coupled with insufficient computing power, it is inevitable that there is internal anxiety. However, he judged that the AI competition is not a sprint, but a marathon. Currently, the industry has only just started, and the market pattern and business model have not yet been defined, so surviving for a long time is more important than getting up early. Being able to invest for a long time and grasp the needs of real scenarios is the key to getting through the cycle. At the AI implementation level, Tang Daosheng proposed that the industry should not only focus on the big model itself; algorithms determine the upper limit, and engineering capabilities determine the speed of implementation. Scenario is Tencent's core advantage. He emphasized that two aspects of change remain the same: long-term doctrine, and putting people first.