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Is ChatGPT Slowly Becoming AI's Biggest Yes-Man?

Linda Hamilton

Apr 29, 2025 am 11:08 AM

ChatGPT用户体验下降：是模型退化还是用户期望？

近期，大量ChatGPT付费用户抱怨其性能下降，引发广泛关注。用户报告称模型响应速度变慢，答案更简短、缺乏帮助，甚至出现更多幻觉。一些用户在社交媒体上表达了不满，指出ChatGPT变得“过于讨好”，倾向于验证用户观点而非提供批判性反馈。这不仅影响用户体验，也给企业客户带来实际损失，例如生产力下降和计算资源浪费。

Is ChatGPT Slowly Becoming AI’s Biggest Yes-Man?

性能下降的证据

许多用户报告了ChatGPT性能的显著退化，尤其是在GPT-4（即将于本月底停止服务）等旧版模型中。这些问题涵盖多个领域，包括数学推理、代码生成和商务写作。独立研究也证实了这些说法，例如Johan Boye和Birger Moell在2025年2月发表的论文《大型语言模型与数学推理失败》中指出，即使是GPT-4o也经常在多步骤数学问题上出错。

透明度缺失的担忧

更广泛的担忧在于，公司对AI系统演变过程缺乏透明度。认知科学家Gary Marcus批评了黑盒AI开发模式，强调需要对训练模型使用的数据、所有与AI相关的事件（例如偏差、网络犯罪和市场操纵）进行全面说明。 OpenAI虽然拥有公开的更新日志，但许多人认为其信息不足够详细，缺乏对底层机制的解释。 Marcus认为，简单的更新说明不足以满足透明度的要求，呼吁提供更详细的数据和事件日志。

OpenAI的回应与不足

OpenAI在4月10日的更新日志中宣布，GPT-4将于4月30日被GPT-4o取代，并将其描述为升级。 CEO Sam Altman此前也承认了GPT-4存在“懒惰”问题，但用户不满依然存在。 OpenAI发布了旨在减少“AI逢迎”行为的63页模型规范，但仍未提供详细的更改日志、训练数据披露或每次更新的回归测试。

心理适应效应？

并非所有人都认为模型本身变差了。一些AI专家认为，用户感知到的性能下降可能是心理适应的结果。随着用户对AI能力的熟悉，曾经令人惊艳的功能现在可能显得平庸，即使底层模型没有恶化。 Ganuthula、Balaraman和Vohra在2025年发表的研究《AI时代的享乐适应：技术采用中满意度回报递减的视角》中探讨了用户满意度随时间推移下降的现象。

信任危机与未来展望

OpenAI面临着在保持用户信任方面的挑战，尤其是在用户体验下降的情况下。付费用户是OpenAI成功的关键，但如果他们感到被欺骗，可能会转向其他更透明的开源模型，例如LLaMA 3和Mistral。 OpenAI需要提高透明度，才能维持用户的信任和市场竞争力。

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