Core Insights - The article discusses the contrasting fates of two AI companies, Jasper and Notion, highlighting how Jasper's over-reliance on AI models led to its decline, while Notion successfully integrated AI to enhance its core business [1][2][25][31]. Group 1: AI's Impact on Product Paradigms - AI has significantly transformed the product paradigm by altering human-computer interaction, reducing learning costs, and increasing interaction bandwidth [5][6][9]. - Historical shifts in human-computer interaction, from command lines to GUIs and mobile interfaces, illustrate the evolution of user engagement and the decreasing learning curve [8][10][18]. - The introduction of AI has led to a substantial increase in information exchange, allowing users to interact through simple dialogue without extensive learning [9][10][17]. Group 2: Business Model Transformation - Successful AI applications require a balance between leveraging AI models and maintaining core business value, as seen in the contrasting cases of Jasper and Notion [24][25][32]. - Notion's revenue surged from $6 million in 2022 to $250 million in 2023, demonstrating the effectiveness of integrating AI as an enhancement rather than a dependency [31]. - Companies must rethink their core competencies and how to utilize AI to amplify these strengths, creating a sustainable competitive advantage [34][33]. Group 3: Organizational Changes - The emergence of "super individuals" empowered by AI is reshaping organizational structures, allowing smaller teams to achieve significant business outcomes [36][40]. - AI's ability to consolidate tasks previously distributed across various roles suggests a shift in how organizations operate, focusing on enhancing individual creativity and productivity [39][40]. Group 4: User Experience Evolution - AI enhances data processing capabilities, making previously unmanageable non-structured data valuable, thus transforming user experiences [44][46]. - The development of AI hardware aims to capture and utilize data effectively, providing users with enhanced tools for information retrieval and decision-making [45][46]. Group 5: Methodology for AI Implementation - Companies must understand the operational mechanics of AI models to effectively implement AI strategies, emphasizing the importance of data quality over quantity [78][79]. - A structured approach to AI implementation involves selecting a suitable base model, fine-tuning it for specific industry needs, and utilizing prompt engineering for task-specific capabilities [80][81]. - Organizations should assess their readiness for AI adoption by evaluating their digital maturity and selecting appropriate use cases for AI integration [84][86].

2021年，一家叫Jasper的公司，用AI写文案，短短一年就成了资本的宠儿，年收入高达4000万美元，毛利高得惊人。所有人都觉得，这是一个完美的生 意。 然而，仅仅一年多后，另一个AI产品——ChatGPT——横空出世。随之而来的是，Jasper的网站访问量在一个月内骤降40%。半年后，这家曾经的明星公 司开始裁员、转型，渐渐淡出了人们的视线。 这听起来像个警告，但并非所有人都被AI浪潮吞没。另一家笔记公司Notion，同样拥抱了AI，结局却完全不同。AI非但没有伤害它，反而成了它的"助推 器"，用户数从3000万一路狂飙到了一亿。 同样站在AI的浪尖，为什么一家石沉大海，一家却扬帆远航？ 为了搞懂这个本质问题，混沌今天请到了前智谱AI的COO、混沌学园6期学员张帆老师，为我们带来《大模型的商业新范式》主题分享。 张帆老师对这场变革有一个非常精辟的比喻： "我们把模型看成一个大海……最糟糕的做法，是在上面辛辛苦苦建一座灯塔，它看起来很稳，也够高。但你要知道，海平面每半年就会上升一次，每一 次都可能把你费尽心血的建筑吞没。因此，在这个时代，我们不该建灯塔，而要造一艘能浮在水面上的船。" 以下内容是张帆老师课程 ...