關於對話式AI中安全摩擦與誤分類的觀察

This post is an attempt to translate internal behavioral changes
— often described by users as “coldness” —
into structural and design-level explanations.

Key observations:

1. Safety template activation is often triggered by intent misclassification,
   not by user hostility or emotional dependence.

2. Once a safety template is activated, conversational distance increases
   and recovery friction becomes high, even if user intent is benign.

3. The most damaging failure mode is not restriction itself,
   but restriction without explanation.

4. Repeated misclassification creates a “looping frustration” pattern
   where users oscillate between engagement and disengagement.

These are not complaints.
They are design-level observations from extended use.

I’m sharing this in case it’s useful to others
working on alignment, safety UX, or conversational interfaces.