Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Omg if this isn’t proof of Christianity, I’d don’t know what is that and AI is …
ytc_UgxAxp93g…
G
Cry 'greed' all you want, but everyone is 'greedy', so the root is systemic.
C…
ytc_Ugw00QT0k…
G
@thecaptain29AI are programmed originally but then learn on their own so technic…
ytr_Ugz6QURi4…
G
Business 101 at 3:35 is spelled incorrectly. It says "Bussiness 101." Please b…
ytc_UgxZ-LjmA…
G
Love it when our shit government is funding ai guided weapons instead of fixing …
ytc_Ugwf3aiGA…
G
Every time I look for drawing references I filter out all AI because it makes me…
ytc_UgzE42n3y…
G
I'm trying to learn to code to automate things at my job. My manager is the typ…
ytc_UgxGXyMVy…
G
As a person who uses AI for things excluding art, I think your opinions are vali…
ytc_UgzWRgaYv…
Comment
The White Blood Cell Count in Blacks is pegged at between 4000 to 11000 per cubic cm. For Caucasians, it is pegged at between 2000 to 10000. These and many more medical data were fixed at a time when there were no finesse to the algorithms and the processes that researched them, yet those that wrote the original medical texts (the Caucasians) stuck with these errors and taught them for generations.
Many narratives were distorted to favour the fair skinned while the dark skinned (which originally means superiority) was tagged the inferior. Like how can you try to prove that a melanonized skin is inferior to a non-melanonized one? So why is SC Carcinomas predominant with non-melanocized?
Because of the discovered advancement and intelligent of the ancient Egyptians from archaeological findings, the narrative became distorted through texts and movies that Egyptians are fair skinned. Laughable isn't it? They even claim that Jesus (who the scriptures describe as dark skinned) is white in all their pictures and images of him.
So why should you be surprised that the same Caucasians that wrote the programming of the AI will transfer all these biases and lies to their AI offspring?
youtube
AI Bias
2022-12-17T13:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgweSMLxy0SruiYPCbB4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzPK7keRcGusxqtKaN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwllGdQLziQMBA9Nkt4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyyXTVH8PKKJQoSWWt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwh3X1PGWrhSFR-9VJ4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzzLpl7VKY4CL5HfPF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxpYPEl-34E1d_JI394AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyIfLh2zBJ3mPWQn4l4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxLjsvPYJl36bZBqsB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw3kKe7bQS4rmFfPDN4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"}
]