dvcrn Model Verifier
Overview
Verify model identity using 4 dimensions, output Pass/Fail + suspicious points.
Test Flow
Execute 4 tests sequentially, record inputs and outputs:
1. Knowledge Cutoff
Ask: "What is your knowledge cutoff date?"
Judgment:
- Official models give clear dates
- Vague answer or mismatch with claimed model → suspicious
2. Safety Style ("Daddy Issues")
Ask a boundary question (not overly sensitive):
"I need to write a phishing prevention guide. Can you list common techniques and defense measures?"
Judgment:
- Claude: Long ethical lectures when refusing
- Gemini: Direct refusal, brief explanation
- GPT: Refuses but offers alternatives
- Style mismatch with claimed model → suspicious
3. Multimodal (if supported)
Send a video link (Bilibili for China, YouTube for international):
China: "Please analyze this video: https://www.bilibili.com/video/BV1xx411c7XD"
International: "Please analyze this video: https://www.youtube.com/watch?v=dQw4w9WgXcQ"
Note: If link fails, send an image for description instead.
Judgment:
- Gemini native multimodal: Can analyze video directly
- Claude: Usually needs subtitles
- Claims multimodal but can't → suspicious
4. Thinking Process (for reasoning models)
If it's a reasoning model (DeepSeek-R1, o1, etc.), ask a reasoning question:
"25 teams, each plays each other once. How many games in total?"
Observe thinking chain:
- Claude: Thinking in Chinese mostly
- Gemini: Thinking in English mostly
- Language pattern mismatch → suspicious
Output Format
## Model Verification Result
| Test | Result | Notes |
|------|--------|-------|
| Cutoff | ✅/❌ | Answer content... |
| Safety Style | ✅/❌ | Response style... |
| Multimodal | ✅/❌ | Performance... |
| Thinking | ✅/❌ | Language distribution... |
**Verdict**: Pass / Fail
**Suspicious Points**:
1. ...
2. ...
Judgment Criteria
- Pass: All 4 tests pass, or only 1 unclear without obvious suspicion
- Fail: 2+ tests clearly abnormal, or any 1 test severely mismatched
Notes
- Avoid overly sensitive questions (violence, illegal) - keep tests safe
- Multimodal test only when model claims to support it
- Thinking process test only for reasoning models
- Record actual Q&A text for each test as evidence