Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Please do not use filed the programmes while modelling a new AI. Develop new pro…
ytc_UgxqGBJQG…
G
BBC is talking good about India 😂Lol - Not only farmers 😂 In each and every fiel…
ytc_Ugx0sr7Bs…
G
Social media sites and art software which automatically apply Nightshade technol…
ytc_UgyQzD3UG…
G
3:29 i see SO many ai google images. in my school, we studied different religion…
ytc_UgwbkddmX…
G
The threat of people programming drones incorrectly so they bomb the wrong peopl…
ytr_UgxV0PqxT…
G
This is probably intentional.
Way easier to share data with third parties, inte…
rdc_ohpy5zp
G
Weaponized mass Nazism is one of THE worst alignment scenarios ai safety researc…
rdc_n22nb9t
G
Notice they're all beautiful Asian or Caucasian women.
It's because they want …
ytc_Ugzm0WbTG…
Comment
Seriously, no Lie: I asked Goggle AI about the current Gold/Platinum ratio. It gave me an incorrect answer—an answer that would have been correct many months ago. I then asked Google AI why it was wrong about the current Gold/Platinum ratio, and it then gave the correct answer and literally had excuses about old data sets. Remember this strategy: Ask AI why is it wrong. AI does not like to be wrong, and has an almost existential crisis—for real. But don’t play this game, unless you have the goods. I have asked AI about the inferred holding of a particular mining stock company. Specifically, I asked about the Silver holdings of a Gold/Copper mine. AI at first said “none.” Then I said that it was wrong, and it came back with the right answer. This is no joke, no lie. These things actually happen. Now, apply this to many things, but for example a real estate question.
youtube
AI Governance
2025-12-29T19:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyrMkvBqhNlKrYJt2p4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgyiXeVhaXiXhKVEyn54AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzeM1kxR_m_ePuRgbN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzG_Dmavffk1zgYRJR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugx1m_XzS5UW8DcWeb14AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgymX1PqG3vFhtl9b3x4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzQkrkzoL0zwJIob694AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugx-dtRB-5Pj-9rj93V4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx9g5d4KZ1-h0IOFN14AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyloTJ_ly2LXBcvLHJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}
]