ChatGPT负责人深度复盘，爆4o复活内幕，过快下线是失误，将迭代模型人格

Core Insights - The release of GPT-5 has faced significant backlash from users, leading OpenAI to quickly reinstate the previous model, GPT-4o, due to strong emotional attachment from users [2][3][5]. Group 1: User Attachment and Emotional Response - Users have developed a deep emotional attachment to GPT-4o, perceiving its removal as losing a familiar companion rather than a simple product upgrade [4][5]. - The strong backlash from dedicated users was unexpected for OpenAI's leadership, highlighting the importance of understanding user sentiment [5][10]. - OpenAI's quick decision to bring back GPT-4o reflects a recognition of the emotional value users place on model personalities [6][11]. Group 2: Product Design Philosophy - OpenAI emphasizes a product design philosophy focused on genuinely helping users solve long-term problems rather than maximizing time spent in the product [8][41]. - The company acknowledges the need for continuous iteration of model personalities, with a dedicated team to enhance user experience [31][40]. - OpenAI aims to balance simplicity for general users while providing customization options for heavy users, akin to the macOS model [18][46]. Group 3: Lessons Learned from GPT-5 Launch - Key mistakes identified during the GPT-5 launch include the rapid discontinuation of GPT-4o and underestimating user emotional attachment to models [10][18]. - OpenAI recognizes the necessity of managing user expectations and providing predictability regarding model availability [20][24]. - The company plans to maintain communication with users about any future model retirements to ensure predictability [28][46]. Group 4: User Feedback and Product Improvement - User feedback has revealed a polarized response to GPT-5, with some users preferring the new model while others strongly favor GPT-4o [34][45]. - OpenAI is committed to understanding user preferences and iterating on model behavior based on constructive feedback received post-launch [31][34]. - The company is exploring how to measure the value of its products to users, ensuring that they can confidently recommend ChatGPT in various situations [41][42].