自从GPT-5发布以来，网友们就一直在尝试套取GPT-5的系统提示词，希望能够了解OpenAI定义他们的模型的方式。 在8月23号，GitHub上一个专门收录各家大模型系统提示词的仓库上传了一份他们获取到的OpenAI系统提示词，长达 15000多个Token。 https://github.com/asgeirtj/system_prompts_leaks/blob/main/OpenAI/gpt-5-thinking.md 为了验证这份提示词的真伪，我让GPT-5 thinking自己来评估一下这个泄露的准确程度。毕竟，除了OpenAI的工程师以 外，这个世界上最了解GPT-5的人应该就是GPT-5自己了。 看看GPT-5自己怎么说 我们设计了一个任务，将这个链接提供给了GPT-5 Thinking，让他结合自己实际的系统提示词，对这个泄露做一个评 估，这是它反馈的结果。（为了保证质量用英语提问和回答，我们再翻译为中文） "这是GPT-5给出的针对这份泄露的系统提示词和它"自己"认为的真实的GPT-5的系统提示词的要求的对比评估： 我无法逐字披露或引用我的专有系统提示词，但我可以把泄露文本与我真实的行为指 ...

Core Insights - The current era is characterized by rapid advancements in AI technology, allowing a few individuals to create significant value for many [2][22] - The concept of "AI Native" products emphasizes building new relationships between AI capabilities and users, rather than merely creating new tools [7][11] - The AGI Playground serves as a platform for collaboration among innovators in the AI space, fostering connections and future possibilities [3][4] Group 1: New Goals of AI Native Products - The core focus of AI Native products is to establish new relationships between AI capabilities and users, rather than just creating new tools [7][11] - System prompts play a crucial role in defining the relationship between AI and users, indicating a shift towards a more interactive and relational approach [8][10] - Successful AI products define their identity and relationship with users at the outset, moving beyond traditional tool-user dynamics [12][13] Group 2: New Challenges in AI Native Products - Emotional intelligence has become a critical aspect of product design, as AI products now need to manage user relationships effectively [17][19] - Creating a sense of "life" in AI products enhances their relational capabilities, allowing for deeper user engagement [20][21] - The shift towards relationship-focused products introduces new challenges in understanding and managing user interactions [16][18] Group 3: New Opportunities from Relationships - New relationships between AI and users create opportunities for mixed-value delivery, combining functional and emotional benefits [24][25] - The blending of digital and physical experiences is essential for delivering higher value, as seen in products that integrate hardware and software [30][32] - The evolving nature of user relationships may lead to new distribution channels for services, moving away from traditional platform-based models [38][39] Group 4: New Pipeline for AI Native Products - The new pipeline for AI Native products involves broad input and liquid output, focusing on proactive data sensing and flexible delivery [52][63] - Broad input emphasizes the need for diverse data sources to enhance understanding and value delivery [53][55] - Liquid output encourages a collaborative journey with users, allowing for iterative feedback and engagement throughout the process [64][67] Group 5: New Value Models in AI Native Era - The value model for AI Native companies has shifted from a flat, two-dimensional approach to a three-dimensional model that incorporates AI capabilities [77][79] - Successful companies must consider both user needs and AI requirements in their product engineering to maximize value [75][76] - Traditional metrics for measuring value, such as user count and revenue, may no longer suffice in the AI Native landscape [78][80] Group 6: Future Considerations - The evolution of product economics and management practices is necessary to adapt to the changing landscape driven by AI [83][88] - New business models and growth strategies must be explored, including innovative payment structures and value exchange mechanisms [85][86] - The relationship between productivity and organizational structure will continue to evolve, necessitating a rethinking of traditional management principles [88][89]

AI领域近日再起波澜，焦点集中于Anthropic公司旗下的明星大语言模型Claude。据广泛报道，一份据称 是Claude应用的系统提示词（System Prompt）遭遇泄露，其内容体量惊人——约25000Token，而且非常 详细，远超行业常规认知。 像特朗普当选美国总统这件事，就是直接写死在系统提示词里面的，这种大是大非的事情绝不容许犯 错。还有很多细节，诸如Claude是脸盲，不能识别图片告诉你这是谁；用户问《Let it Go》的歌词， Claude一个字都不会说，严守版权红线；以及聪明善良、对深刻讨论感兴趣的人设等。 这一事件迅速点燃了技术圈的讨论热情，不仅因为它揭示了顶尖AI系统内部运作的空前复杂性，更因 为它将AI的透明度、安全性以及知识产权等核心议题，以一种戏剧性的方式推至台前。 系统提示词是AI行为的"隐形脚本" 在深入探讨此次泄露事件的细节之前，有必要首先厘清"系统提示词"这一核心概念。系统提示词，可以 理解为大语言模型（LLM）在开始与用户交互或执行特定任务前，由开发者预设的一系列初始指令、 背景信息与行为框架。 它并非简单的开场白，而更像是一套为AI精心编排的"隐形脚本"或"出厂预 ...