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G Speaking as a tesla owner who drives Uber all over Maui, Hawaii. No way, will se… ytc_UgxCNwLgF… G ai is programmed to be actively racist against white people - can't even make al… ytc_UgwD_FH1c… G God created everything including humans. HOW he created humans whether over thou… ytc_Ugw5sDo63… G what if the AI is so smart that it fails the turing test on purpose 🤔… ytc_UgwO4BX56… G That's not the kind of surveillance in my car that worries me -- I'm much more c… rdc_oi46pq9 G Lol, midjourney is worst. Real AI masterpieces are created by combining drawing … ytc_UgzAUi4Lj… G I love it!!! This IS how AI should be used, for inspiration and as a mock up spr… ytc_UgyjMY5I-… G People keep assuming that these job losses are based on AI. They may be just cut… ytc_UgwGfmyjq…
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
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policynone
Emotionoutrage
Coded at2026-04-27T06:26:44.938723
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"} ]