Tell us about your recent feelings about AI-consumed entertainment content: The first point: making AI products and communities without understanding self-media is a dead end. AI tool creators of the future = AI content creators, and content demand-driven tool optimization will become mainstream. Now I have swiped at least 10 "AI image → video → dubbing" workflow combinations on Douyin, each of which is a new track with tens of millions of traffic. The first step of AI tools is "daily efficiency", and the second step is "entertainment consumption". Tools are "kidnapped by content needs" to be entertained, and a good tool is not a one-click generation of a complete function, but one-click entertainment and one-click consumption. And I understand very well that consumer entertainment is a track that large manufacturers can't look at, and everyone is willing to lay the foundation (such as coding), which gives many small and medium-sized companies/individuals opportunities and time. The second point: the individuals who can make money with AI must first use closed-source models to practice. Most closed-source products are much faster than open source, and some products (or workflows) can become billions of dollars in a few months. The later you enter, the more you get a return that is not a linear decline, but an exponential decline, or even zero. The second place can't even drink the soup. Waiting for open source is idealism, and it can also be a marketing gimmick of the company, and there is no need for individuals to be hard-working. When it is necessary to quickly explode and build content scenarios, the "delivery speed + controllability" of the closed-source model is obviously better. At the company level, if it is unable to serve such strong individuals who pursue commercialization, they should instead seek to serve "weak" individuals (especially users for the purpose of leisure and socialization, referring to entertainment applications such as Roblox and Minecraft that atomize/combine).