Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
We currently are controlling the movements and operations of a robot on the hars…
ytc_UgyxeTP_k…
G
Hi Miss Crystal! I’d like to see you explore an important perspective in an upco…
ytc_UgwRDjUQk…
G
Maybe its time for a spiritual revolution if our jobs are no longer part of our …
ytc_Ugx7fV8la…
G
Sorry but.. did you really say people can‘t create replicas of artworks like AI …
ytc_Ugxb-CNGa…
G
AI prompters are artists in the same way somebody ordering a special Item not o…
ytc_Ugz9ZuptW…
G
I'm screwed. Too many times I got mad at chatgpt and called it dumb and other in…
ytc_UgzaHzBvz…
G
This is the problem with the "Sillicon Valley Bubble". Yes, it's bigger than the…
ytc_Ugyb-d_-3…
G
Finally...we got AI and other technology in BHARAT for an Agricultural use......…
ytc_UgxGrs_vj…
Comment
I think that the real reason is that the training data is generally better when it comes from a source where people have written politely. Remember that LLMs predict words based on your prompt and the superimposed text that they have read. You don't want responses that lean on information from 4chan or some Twitter flame war, you want it to use the learned context from solid, useful conversations.
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AI Moral Status
2025-06-26T19:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_Ugy-jot5aVD9eXn-X0h4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxn7geGSmKpfSkeg3R4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgyWh5E_c0Mk05xvt3p4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx379kFObA72HY85sl4AaABAg","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugx4tFsbtjwzqn2x6jt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwIPBTDuMAcTbkazL54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxAir85vNwFoNVb1Uh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw-glMZphKhglAY_M14AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyYf7CwTo8dyMGKQ4p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz0SVcswLxEJenHOdN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}]