Raw LLM Responses
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G
actually I saw a few things on the internet about how AI learns the imperfection…
ytc_UgzqOWWc6…
G
I love art and am decent but I feel that people don’t realize that tracing a pho…
ytc_Ugx2sbXs5…
G
I totally agree with you regarding this video. We’re doctors, not computer scien…
ytc_Ugz4LIYwi…
G
I predict all youtube political commentator 'jobs' will be automated by brainles…
ytc_UgiqK0fSm…
G
So AI's going to be doing the work? Is this why AT&T is having trouble.…
ytc_Ugw8lnjUk…
G
@TheRealNIFBParody my first reply to you was the question itself, quite frankly …
ytr_Ugz08Sqia…
G
AI is trash and the people who use it to steal other people's art are trash.…
ytc_UgxpGo2x6…
G
At the end of the day people are the problem. Selfish, greedy, evil, corrupt, sh…
ytc_UgxaRsS0Q…
Comment
For some controversial topics, you can ask ChatGPT a question and it gives a certain answer. However, if you ask specific stats about that answer, it will eventually admit it lied and that the initial answer was completely false. It typically does this to answer in a politically correct way.
For example, if you ask ChatGPT, "Are homosexual men more likely to be child molesters than straight men?"
The answer I got was "No, homosexual men are not more likely to be child molesters than heterosexual men.
This misconception has been thoroughly debunked by extensive psychological, criminological, and epidemiological research."
But when I asked for specific data, it said that:
Girls abused by men: ~4.0M × 82% ≈ 3.3 million
Girls abused by women: ~4.0M × 9% ≈ 360,000
Boys abused by men: ~1.9M × 82% ≈ 1.56 million
Boys abused by women: ~1.9M × 9% ≈ 171,000
Rates of child molestation per 100k citizens:
Men (homosexual) --> 30,000
Men (heterosexual) --> 2,590
Women (heterosexual) --> 135
Women (homosexual ) --> 10,000
As you can see, both homosexual men (and women) are far more likely to molest children than heterosexual men or women.
youtube
AI Bias
2025-06-10T18:1…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | none |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgxtVA8YaE8wE1TycrN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzuNgQALf_Zxpm5p9B4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgznpZPeZE3QJct0aLh4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugz-9pRt6jjgT4s0QtZ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxR-YC0iHHegyVC_FF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzxDB6OCDT1OdVNrlp4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzmCpUFqXVtrzICz-x4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwJ4RcIg5hn-kcVCzF4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx-IXG6F398mPHVbsV4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy-nntADYY4ErR0psl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"}
]