Group 1 - The core viewpoint of the articles is that GPT-5 has been released but has received criticism for not meeting expectations compared to its predecessor, GPT-4, despite the advancements in AI capabilities over the years [1][3][5]. - A comparison of performance metrics between GPT-4 and GPT-5 shows that the Scaling Law has not hit a wall, indicating ongoing improvements in AI models [3][5]. - The evolution of the GPT family from GPT-1 to GPT-5 over seven years highlights significant advancements in AI capabilities, with various prompts demonstrating the models' growing sophistication [5][7][8]. Group 2 - The articles provide examples of how each version of GPT has improved in generating creative content, such as poetry, with GPT-5 producing more coherent and human-like responses compared to earlier versions [19][20][40]. - In terms of technical tasks, GPT-5 has shown a marked improvement in writing Python code, moving from nonsensical outputs in earlier versions to producing complex yet humorous code in GPT-5 [53][54]. - The ability of GPT-5 to explain complex concepts, such as integration by parts in mathematics, has also improved significantly, making it more effective as a teaching tool compared to its predecessors [57][64][69]. Group 3 - The articles discuss how GPT-5 can now provide structured and detailed plans for various tasks, such as building a running habit, showcasing its capability to act as a personal coach or advisor [125][126][127]. - The transition from GPT-1 to GPT-5 reflects a shift from generating random or irrelevant responses to providing logical, structured, and contextually relevant answers to user queries [70][75][90]. - GPT-5's responses are characterized by a more professional tone and comprehensive information, indicating its advancement in handling complex inquiries compared to earlier models [75][90].
GPT-5暴写“屎山代码”，14个Prompt，看穿GPT-1到GPT-5七年智商进化史
3 6 Ke·2025-08-19 08:56