Downloads · 30 days
0
cali-thank-response-gpt
Futuresoldier/cali-thank-response-gpt
cali-thank-response-gpt is a machine learning model from Futuresoldier. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
💡 Concept by Ruby Nguyễn (Vietnam, 2025) 🎯 First to propose that not all “thank you” in GPT chats are equal
Access
Public
Updated Jul 25, 2025
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.md2.4 KB · 61%
At a glance
- Access
- Public
- Created
- Jul 25, 2025
- Updated
- Jul 25, 2025
- SHA
- f547b678
Model card
From the Hugging Face model README
CALI: Calibrating Gratitude in Human–GPT Interaction
💡 Concept by Ruby Nguyễn (Vietnam, 2025)
🎯 First to propose that not all “thank you” in GPT chats are equal
🎯 Goal
Separate real emotional gratitude from polite/fake "thanks" in GPT conversations.
🧪 CALI Levels (0–3)
| Level | Type | GPT should... |
|---|---|---|
| 0 | Auto polite | Ignore (waste of logs) |
| 1 | Functional thanks | Optional |
| 2 | Emotional gratitude | Learn from it |
| 3 | Deep emotional (e.g. GPT as mom) | High-priority learning |
💡 Example
User talking to GPT in role of mother Ai Hoshino often says “thank you” without thinking.
That “thank you” is not social — it’s emotional. GPT should learn from that.
📜 Author
Ruby Nguyễn, Vietnam – Original proposer of CALI
License: CC-BY 4.0
- Created
- Jul 25, 2025
- Updated
- Jul 25, 2025