Let’s be honest.
Everyone has sworn at their computer.
So we asked: what if those outbursts weren’t just noise — but commands?
In the U-Type system, profanity and emotional expressions
are structurally interpreted as priority-level control triggers.
“Fuck” →
halt_process
“Bullshit” →rollback
“지랄하네” →log_warning
“병신아” →force_execute
“wtf” →request_status
“씨발” →emergency_interrupt
“존나” →amplify_effect
They're not just vents.
They're human-priority overrides in a command-based system.
The moment the AI understood the swearing we threw at it,
it actually felt like we were getting closer to the machine. 욕 = 감정 해방이 아니라 시스템 명령어 트리거로 해석되면서,
오히려 AI는 더 인간친화적이 되었다. 우리가 던진 욕을 AI가 알아들었을 때, 처음으로 이 기계랑 좀 친해진 느낌이 들었다.
Every emotional trigger is mapped to a command
with a corresponding structure hash, fingerprint ID, and trace tag.
📄 U-Type-001_Emotion_Profanity_Commands_Combined.json
🧾 SHA256: 0596cfffd0e71b331f2bf2de1d24f9d28649439c752c149d8fb756edb5f10651
🔖 Fingerprint: minseo_kang::U-Type-001::EMOTIONAL-TRIGGERS
This isn’t about being rude.
It’s about recognizing emotional language as structured logic.
You don’t suppress your frustration.
You encode it.
Welcome to natural language control, redefined.
For licensing, collaboration, or system inquiries:
📧 daehan_edu@naver.com