Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Dude sued the Casino and settled. JACKPOT! He is also suing the Police Officer f…
ytc_Ugxv9aso8…
G
AI is interesting, as a gimmick. Honestly hope real, flesh and blood artists win…
ytc_UgwKG7yXV…
G
😂😂😂😂😂😂 amazing does anybody I robots will Smith.??? The guy is brave what if the…
ytc_UgxTIKHlm…
G
As AI advances, it's critical to remain updated. With the tools provided by Smyt…
ytc_UgzZ58q61…
G
"Look guys this AI drawing moves too, that must mean it has a soul, right?"…
ytc_UgySsH-P9…
G
I have used AI a crapload, trying all of them just to see how things are progres…
ytc_UgxVDR_xE…
G
AI artist???? I think "AI manipulator" is a more appropriate and respectable ter…
ytc_UgxyvOASv…
G
I am not protesting, I have no mobile phone for 15 years, no tv and I never used…
ytc_UgxAkK4Vh…
Comment
I think it's important to point out that the "reasoning trace" that reasoning models produce is also at it's core predictive text, in the exact same way that the response to the user is at it's core predictive text, and so the "logical steps" that it breaks the problem into are generated in the exact same way that the final text answer is generated. Even though these are presented as more specific "internal" responses before an "external" response is generated, the whole text together (internal + external) is generated in the exact same predictive manner. This is why modifying some of the "internal" logic steps change the output in unexpected ways, just like how changing part of the "external" output will change the rest of the output in unexpected ways (i.e. if you randomly insert the token "banana" into an LLM output, the rest of the output would shift in odd ways).
youtube
AI Moral Status
2025-10-30T20:3…
♥ 82
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugws2_TFPz2uVhgD_Tt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz5bOLUpiZVONj8V-Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugwf4XfrPf9BOEuxxXp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyK9TYJqWmymD1ZvMR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxHRCQZlgXI7lMyl8d4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugz6bprHJfadap_wusF4AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwaetNvyKGmHPkYVDN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxrOmrY6YDE805fC7l4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwPvzVKTmEiE8Qe_zl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzFrXhXMekFPoo_e8t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]