Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
genAI might revolutionize productivity but only IF we get actual AI and not the …
ytc_UgxqMZV_G…
G
People always talk about how AI will cause machines to rise up against humanity.…
ytc_UgzKFR2Nv…
G
One thing is really wrong. Efficiency may be off the charts with AI. But even in…
ytc_UgyrgBMLQ…
G
@SamuDemon_Animations you need a person to submit it to the AI, I think they cou…
ytr_Ugw9PiagX…
G
I have worked on my art literally since grade school, and it was the only thing …
ytc_UgyFNTTKj…
G
I love drawing and I can't use AI, because it is betrayal to my skillset. Is it …
ytc_UgxeA_BiC…
G
Idiots all around. The two clowns on the corner facing the pedestrian crosswalk…
ytc_UgzIfUL1c…
G
@fedethegreat88 What a truck driver does in a day is worth more than 100 Pintere…
ytr_UgzH78Z-T…
Comment
Just to be clear here, you can't take away from that paper that "models store copies." Only very specific books were tested, because they are over represented on the internet already, books like Harry Potter and 1984. You would not be able to generalize the paper's jailbreaking process to extract other books because most books will not be overrepresented in the training data.
This is overfitting, and is undesirable even for a purely self-interested AI company because overfitting degrades model performance. A model wasting capacity memorizing Harry Potter verbatim is learning fewer generalizable patterns. The fix is straightforward data curation, better deduplication, preventing over-representation of any single work. The paper shows some companies were sloppy about this, but no generalizable conclusion relating to learning from copyrighted material.
youtube
2026-01-23T23:1…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgwxcKl4B92AvDU3GJp4AaABAg.AS3GKO2L0LZAS5-6AgsPRX","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwxcKl4B92AvDU3GJp4AaABAg.AS3GKO2L0LZAS7DZGyXZL0","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgwTxn5nWOeZSciYSbx4AaABAg.AS342zgtgCSASLGP6uKRul","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwTxn5nWOeZSciYSbx4AaABAg.AS342zgtgCSASLbh98lduO","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgwTxn5nWOeZSciYSbx4AaABAg.AS342zgtgCSASNFZGnJw0j","responsibility":"company","reasoning":"mixed","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgwYMh4HWSnqiJIvuZ54AaABAg.AS2ytOWq-jJAS6b6C9mzQk","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_UgxTpwOqlCLgISlJwXZ4AaABAg.AS2wksN_TYgAS3haijVLxT","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgxTpwOqlCLgISlJwXZ4AaABAg.AS2wksN_TYgAS6dkEe4Tvm","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyuLBQvV1IdDSyxP1F4AaABAg.AS2vzUWJEb_AS6ejj7VD7d","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"resignation"},
{"id":"ytr_UgwyahGFIVuQXcs44aJ4AaABAg.AS2tE9KfDXEAS2tnpYQJw7","responsibility":"company","reasoning":"unclear","policy":"ban","emotion":"outrage"}
]