深度｜OpenAI产品经理及后训练负责人：决定模型真正聪明程度的不是智能水平，而是它理解你的方式

Core Insights - The article discusses the advancements in OpenAI's GPT-5.1, emphasizing the shift from models as mere tools to understanding user intent, emotions, and context, marking a new era in human-AI interaction [3][5][12] - Personalization is highlighted as a fundamental aspect of future AI systems, allowing models to adapt and respond based on individual user preferences and emotional cues [3][10][22] Group 1: Model Development and Features - GPT-5.1 aims to transition all chat models into "reasoning models," enhancing their ability to think and respond based on user prompts [5][6] - The introduction of a "chain of thought" mechanism allows the model to determine the depth of reasoning required based on the complexity of user queries [7][12] - Improvements in context retention and user history tracking address feedback regarding the model's perceived coldness and lack of warmth in interactions [8][9] Group 2: User Experience and Interaction - The update includes a new "auto-switcher" that dynamically transitions between chat and reasoning modes, aiming to provide a more cohesive and empathetic user experience [9][10] - Enhanced instruction-following capabilities allow the model to better retain user preferences and respond in a manner that aligns with individual communication styles [10][11] - The introduction of personality features enables users to guide the model's expression style, enhancing the overall interaction quality [10][22] Group 3: Emotional Intelligence and Personalization - The concept of emotional intelligence (EQ) is explored, focusing on the model's ability to understand user intent and context, which is crucial for delivering appropriate responses [13][14] - The development of a "user signals research" initiative aims to capture various signals related to user intent, enhancing the model's emotional responsiveness [13][14] - The article emphasizes the importance of creating a model that not only understands factual information but also captures subtle emotional cues and context [19][20] Group 4: Future Directions and Customization - OpenAI envisions a future where models are increasingly customizable, allowing users to create a unique experience tailored to their needs [22][24] - The potential for models to automatically infer user context and preferences is highlighted, aiming for a more intuitive interaction without complex prompting [24][25] - The ongoing development of memory features allows models to retain information about users, enhancing the relevance and personalization of responses in future interactions [25][26]