“直播教父”的新“赌注”：等我看不懂年轻人，我就退出

Core Insights - The article discusses Liu Yan's perspective on the evolving landscape of AI and his entrepreneurial journey, emphasizing the importance of "AI native" organizations that leverage AI as a core component of their existence rather than as an add-on [2][21][56] Group 1: Liu Yan's Background and Experience - Liu Yan is recognized as a pivotal figure in China's tech evolution, having facilitated the IPOs of early internet companies like Sina and NetEase [2][19] - He has a history of entrepreneurship, including founding China's first broadband company and a profitable video-sharing platform, which showcases his adaptability and foresight in the tech industry [2][17] - Liu Yan's ventures have often been characterized by a willingness to pivot, as seen in his transition from video sharing to live streaming and virtual idols [17][52] Group 2: AI Native Concept - Liu Yan defines "AI native" as organizations that cannot exist without AI, contrasting it with the "Internet+" model, which merely integrates AI into existing frameworks [21][56] - He believes that the future of AI will heavily rely on "prompt engineering," which involves crafting effective prompts to maximize the potential of AI models [11][14] - The article highlights Liu Yan's new venture, the "Forty-Three Group," which focuses on developing products centered around prompt engineering, indicating a shift in how AI capabilities are harnessed [11][29] Group 3: The Importance of Prompt Engineering - Liu Yan argues that prompt engineering could become a more significant field than algorithm engineering, predicting a demand for 50 million prompt engineers compared to 1 million algorithm engineers [14][28] - He emphasizes that effective prompt engineering can significantly enhance the output quality of AI models, addressing the gap between user needs and AI responses [14][28] - The article outlines the four engines of the Forty-Three Group: self-research and incubation, training prompt engineers, consulting services, and investment in young talent [13][30] Group 4: Current Projects and Future Directions - The "Mountain Top Biography" application is highlighted as a key project, designed to autonomously generate comprehensive biographies through user interaction [15][31] - Liu Yan expresses a commitment to continuous improvement of AI applications, aiming to enhance user experience and output quality [34][35] - The article concludes with Liu Yan's vision for the future of AI and entrepreneurship, emphasizing the need for organizations to remain agile and responsive to technological advancements [56][60]