Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I have some feelings about this tbh, I've been doing college at UK for a couple …
ytc_Ugz_JFs-h…
G
@DrSimonGlass well I have tried to make art of humans but struggled. I do galax…
ytr_UgzceRhtq…
G
Seems clear any self-respecting megalomaniac developer of Super AI would be awar…
ytc_Ugyd9ZBgs…
G
The part about replacing is not unthinkable tho, at least temporarily. And it's …
ytc_UgyO0-7Kw…
G
plot twist: I’m autistic so even without ai, ai detectors flag 90% of my writing…
ytc_Ugw3OG5C4…
G
how about adding .another Twitch founder Emmet Shear, CEO of OpenAI for 2 days w…
ytc_UgwuUq5LP…
G
Nah this is all going on so all those people epstein blackmailed can walk free b…
ytc_UgwgB8Xg6…
G
How can such a genius not understand when he’s being propagandized? TDS goes al…
ytc_UgxBZUP2p…
Comment
let me give you a reason due to which your entire case collapses. Technically (e.g., Bayesian Machine Learning) it is possible to factor in both, the sample itself with its corresponding likelihood. Then, you could have your model on purposely rejecting high-likelihood samples for those with less-likelihood which are still related to the question in cause/to whatever you want to solve.
Thus, this argument is easily refutable...
youtube
AI Jobs
2026-04-13T15:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgxFF3yhEqwILippHwx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},{"id":"ytc_UgxM70JO2FGWCh63l_94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgwDFuJjGNC_V-u16g94AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"ytc_UgzwjGc0NSvcNpYnwzh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgweVNai_1vu9SNliGh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgyHzVUckLiQJqN-sGp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgxjUFLU8J5DmTZ5QiB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_Ugw95vwd5l7mOy_j1-V4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},{"id":"ytc_Ugy59W7wClYtnw1LBiR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},{"id":"ytc_UgyUBz8x-Uo3ZTaxgb94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"})