" AI 其实不是真的在创造，而是把人的创造能力更低成本地复制。" "谁能成功地让人类和工具（特别是 AI ）实现高效协作，谁就能拥有源源不断的商业机会。" "内容的真正控制者，并非创作者，而是平台，它们决定了内容的生产、传播以及是否上架。" 今天上午，特赞科技创始人范凌博士在混沌的直播课上这样讲到。 范凌博士的课程实际上也回答了大模型爆火之后的几大争议： AI 会不会取代人的工作？ AI 生成的低质内容会不会有损高端品牌形象？ 来自 AI 的信息和数据是否可靠？ 品牌增长应不应该用 AI 做矩阵号？ …… 以下内容根据部分课程内容整理： 授课老师 | 范凌 特赞科技创始人 &CEO 我们在最卷的行业里 AIGC 我是全职创业者，也是全职教师。我的父母都是艺术家，而我自己则是理工科出身。所以我有一颗艺术的 心，有一个工程的脑。如何将心与脑的距离拉近？早在经营公司之前，我就每天都在思考这件事儿，它像 是我的一个人生使命。 创业前，我在美国伯克利大学教授人机交互。那时，人机交互与人工智能似乎是对立的两种思想。人工智 能的目标是创造一台可以取代人类的机器，而人机交互则认为人 + 机器可以完成人类和机器都做不了的事 ...

Core Insights - The article emphasizes that AI is not genuinely creating but rather replicating human creativity at a lower cost [1][26] - The successful integration of humans and AI tools will lead to continuous business opportunities [1][87] - Content control lies with platforms rather than creators, influencing production, dissemination, and availability [1][10] Group 1: AI and Content Creation - AI's role is to enhance the efficiency of producing large volumes of content, allowing humans to focus on high-quality, brand-centric content [28][22] - The evolution of content platforms has shifted from traditional media to mobile devices, leading to fragmented and personalized content consumption [14][15] - AI's generative capabilities are expected to improve significantly, with projections indicating the ability to create complete television programs by 2029 and AI-generated films by 2031 [18] Group 2: Market Dynamics and Content Strategy - The most competitive industries, such as fast-moving consumer goods and healthcare, are increasingly adopting AI for content generation and management [6][8] - Brands are shifting from high-quality content to quantity-driven, conversion-focused content due to the diverse media landscape [23][29] - The concept of "content matrices" is emerging, where brands create multiple social media accounts to enhance visibility and engagement [34][35] Group 3: AI's Impact on Business Operations - Companies are leveraging AI to streamline product innovation processes, significantly reducing the time and cost associated with new product development [32] - The integration of AI in content production allows for automated content scheduling and quality monitoring, enhancing operational efficiency [45][61] - Businesses are increasingly viewing AI as a collaborative tool rather than a replacement for human workers, aiming to enhance productivity and creativity [80][81] Group 4: Future Trends and Considerations - The article suggests that the future of business will be shaped by how effectively companies can harness AI to improve collaboration and operational efficiency [87][88] - There is a growing recognition that the traditional knowledge economy is shifting towards a distribution economy, where the ability to manage AI tools becomes crucial [84][86] - Companies are encouraged to adapt their expectations regarding AI investments based on industry characteristics and the maturity of their AI infrastructure [80][81]