Core Insights - GPT-5 has received mixed reviews since its launch on August 8, with users expressing dissatisfaction despite its technical advancements [1][5][7] - The official stance from OpenAI is that the issues stem from users not adapting to the new interaction model required by GPT-5, which has evolved into a more autonomous "digital mind" [9][78] - The release of a prompt guide by OpenAI aims to help users better engage with GPT-5, emphasizing the importance of updated communication methods [8][9] Group 1: Performance and Capabilities - GPT-5 demonstrates significant improvements in areas such as mathematics, coding, and multi-modal understanding, showcasing its capabilities as a "full-stack engineer" [4][13] - Despite its higher IQ, GPT-5 exhibits instability, sometimes making errors on simple tasks and lacking emotional intelligence, which has led to concerns about its practical usability [5][6][10] - OpenAI has reported a performance increase in the Tau-Bench test, with scores rising from 73.9% to 78.2%, indicating better efficiency and lower costs [23][24] Group 2: User Interaction and Guidelines - The prompt guide outlines four key areas of evolution for GPT-5: agentic task performance, coding ability, raw intelligence, and steerability, which are crucial for effective user interaction [10][15][17] - Users are encouraged to adjust parameters like reasoning effort and verbosity to optimize GPT-5's performance based on task complexity [53][70] - The guide suggests methods for users to either constrain or empower GPT-5's capabilities, depending on the task requirements, highlighting the need for a more nuanced approach to AI interaction [29][32][36] Group 3: Challenges and Solutions - The dual-edged nature of GPT-5's capabilities means that improper use can lead to inefficiencies, necessitating users to become adept "trainers" of the AI [26][27] - OpenAI emphasizes the importance of clear and structured prompts to avoid conflicts that could lead to performance degradation [54][56] - The guide provides practical solutions for common user challenges, such as managing verbosity and reasoning depth, to enhance the overall interaction experience [50][52][68]