Raw LLM Responses
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G
My problem with AI is its not connected to the feelings, spirit and emotions. So…
ytc_UgwVO9NWP…
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ai is estimated to use one thousand BILLION liters of water every year by 2028.…
ytc_UgznccNMz…
G
The deep fake s*** happened to me bout 3years ago! Come to find out some of my e…
ytc_UgzRxdl26…
G
I don't see them deploying Ai to replace the management class.
It will backfire…
ytc_Ugxaq2vaC…
G
Emotions are only felt by humans. When a human look at a piece of art, he can fe…
ytr_UgxxODS3k…
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Ha! Of course it's Pasco county Florida 😂 these good ol boys don't give AF about…
ytc_UgyFVYivR…
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🔥 *WTF! of course not! ground yourself.* A.I. approximates human behavior in its…
ytc_UgyCiC-we…
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That thumbnail reminded me of the robot in the Technologic music video by Daft P…
ytc_UgzCygy9T…
Comment
The midjourney result is also a good indication of how much stereotypes feed these generative AI.
Egypt, as depicted in human-made drawing, is practically the opposite of how it’s stereotyped.
The piece has a cool color tone (as in it uses darker ‘colder’ colors like blue and is generally really dark with the primary light source being framed in faint blueish white), water is a main focus, the iconic pyramid is only a footnote, hidden to the side and overshadowed by the main event, and instead of a desolate desert, it’s a city.
The AI on the other hand is extremely stereotypical. Egypt is an orange, crag desert with no visible life. There’s no water except for the briefest outline of what is MAYBE an oasis (which itself is still extremely stereotypical) and everyone is wearing stereotypical ‘Arabic’ clothing (which isn’t ENTIRELY inaccurate but is still extremely stereotypical.)
It’s so damning to see just how fueled the AI is by the stereotypes and images we create of things and places like ‘Ancient Egypt.’
youtube
2025-07-01T14:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwUmPRvR5pMS6IpPbp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_Ugzzr-aZVv5fLxePAPB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwnkJHdRSa2BtwN_-R4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyzzHc3e7yjdr2pmd54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugxocwzq3ie_W4gAoAd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxzzAETxcVa1MY_YNR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugyewjk4Ej_TdPii0xh4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwop_WHgGGTS9Sa4yt4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgxQ_2S83JmpufQRlDh4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzIsFYdS9VbOGx_lgB4AaABAg","responsibility":"none","reasoning":"mixed","policy":"regulate","emotion":"approval"}
]