Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
AI itself won’t replace humans.
But the real threat lies in the hands of the psy…
ytc_Ugx8Nd1Pj…
G
The left is obsessed with killing their unborn human babies. Meanwhile, we're tr…
ytc_Ugy593vWw…
G
Great way for an AI to get free human assisted feedback, so it can do better nex…
rdc_j0b2hkq
G
Why would EU want to be mentioned with China and US
AI hasn’t even passed the Tu…
ytc_UgzO6rL1u…
G
You also have to take into consideration that the ai isn't human. It will view t…
ytc_UgzmCb1yM…
G
I once tested this out myself! As a person who normally does traditional art, I …
ytc_Ugznk1Qp0…
G
So much garbage in this thread, AI is trash and I’ll be glad when the fad is ove…
rdc_nc1raxf
G
13:55 I was at a porte de lumière art exhibition which is basically artists pict…
ytc_UgyCGhcI4…
Comment
@ashleybishop7248 Also, humans are more likely to mistake two people that aren't of their own race for each other. It's not because muh wacism. It's because of familiarity bias, a cognitive bias present in all humans.
This tech doesn't have that in quite the same way. The reason these techs don't work as easily on dark skin isn't because of a cognitive bias. I've seen it explained as being because light skins tends to reflect light better, meaning facial structures are easier to identify for these algorithms, particularly certain parts of the face. Darker skin tones reflect less light- blame the laws of physics for that- so certain features are harder for the tech to map.
Apparently Asians also have trouble with facial recognition too, but likely for different reasons, as east asians tend to be light skinned. These algorithms are complex, so it may be that certain facial structures that are common across a certain ethnic group can throw it off, cause it to be more likely to match people based on that.
youtube
AI Harm Incident
2023-08-14T15:3…
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_Ugx0D3HTTSjKhTsDC-x4AaABAg.9tP1uUzhGnV9tP3ohcZrjf","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugzn-QbacOYTp17B3854AaABAg.9tOzeP3AwHk9tOzxgKgbf_","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytr_Ugz8TftZGzKHitQ2Q5J4AaABAg.9tOr4dC8Pfd9tP27ORSg38","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwDeQ1Br3As8JFiIs14AaABAg.9tOjCjH4GoN9tOpIeoCUhz","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgyE2sl3g5y75ryQvKF4AaABAg.9tOgG4Y6vGY9tOgejoh-5l","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugwy0FUKa-xlXlK35uh4AaABAg.9tOWScc8Wbm9tO_gMZNLiT","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugx64sUf0J0kPMTWyIN4AaABAg.9tO2GYgaNKY9tOELZbukmu","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugw_E19pffSR063l4OF4AaABAg.9tNlT0kJrdw9tNmTNnyYju","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgwkL5sYdxy301uVvKt4AaABAg.9tN_ziVD-ZE9tNa79HPQGh","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytr_Ugy5P6ad8nnzVCwwCNt4AaABAg.9tN_xeg1oFj9tNbioZr3pM","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"indifference"}
]