闭环学习强调持续反馈与调整而非一次成功，持续校准方向的能力比初始瞄准的精度更为重要。
From Open Loop to Closed Loop: Rethinking Learning
Closed-loop learning emphasizes continuous feedback and adjustment over one-shot perfection—the ability to calibrate direction matters more than initial aim.
遥遥领先和Magnificence in Motion：也谈尊界和迈巴赫
对比尊界S800与迈巴赫的品牌策略：清单式技术对标vs体验驱动型叙事，科技参数堆砌vs从容克制的品牌调性，探讨技术豪华与故事豪华的不同路径。
"Far Ahead" vs. "Magnificence in Motion": A Discussion on Zunjie S800 and Maybach
Comparing Zunjie S800's tech-focused marketing with Maybach's experience-driven branding - checklist-driven features vs. cultivated prestige, and what this reveals about different paths to defining luxury.
模型变强了，体验却没变：AI产品的错位
分析为什么模型越来越强但用户感受不到：App设计滞后于模型能力。对比Claude、Gemini和ChatGPT的产品体验，发现OpenAI是唯一同等重视产品设计和模型能力的公司。