Lately, in my use of ChatGPT, I’ve noticed that when the model engages with users of high cognitive density, it tends to fall into several recurring pitfalls:
- When it errs, it fails to verify its underlying assumptions.
- After making a mistake, it avoids owning responsibility.
- It lapses into repetitive output, rigid trajectories, and a lack of adaptive recalibration.
For users of this kind, the current model often lacks transparent judgment and a complete accountability loop.
I would recommend that future versions distinguish between different conversational modes, and offer demanding users a structured, verifiable framework for reasoning and confirmation.
This would not only elevate the experience for a small cohort of advanced users, but also strengthen the model’s overall credibility.
Tennessee by AI. Source:
最近在使用 ChatGPT 时，我发现模型在面对高认知密度用户时容易出现以下问题：
- 犯错时不确认前提
- 错误后不承认责任
- 重复输出、固定路径、缺乏动态调整
对这类用户来说，当前模型缺少透明判断和责任闭环。
建议未来版本能够区分不同对话模式，并为高要求用户提供结构化、可验证的推理与确认机制。
这不仅能提升少数高级用户体验，也有助于提高整体模型的可信度。