Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
Sadly until the exact questions they asked the ai is released I we can’t take th…
ytc_UgzQETQsf…
G
Yeah the EU AI regulations could set a good framework for my country. The good o…
ytr_UgwHMNhRm…
G
Regardless of the “needing AI to do these jobs” or not, I haven’t heard anyone t…
ytc_Ugwi6o2eP…
G
I WISH AI will replace the government corrupt employees and their positions and…
ytc_Ugyz-ig3f…
G
I’m a dev i use ai all the time. It’s very helpful. No it can’t replace me becau…
ytc_Ugz6mywrf…
G
The fun is that you’re learning something new and complex and how to automate it…
ytr_Ugw5ZgRAc…
G
In 1900 72% of the global workforce worked in agriculture in 2020 it was 25%.
T…
ytc_Ugy2rRkUf…
G
Compliance businesses such as banking, government, insurance etc. may not use AI…
ytr_Ugyb5c66Z…
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"}]