Raw LLM Responses
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G
I have said it for years - Human’s ‘ superpower ‘ is their intuition- and creati…
ytc_Ugx5FKe6b…
G
If it's not resolved by them directly go to the papers, the Telegraph and Daily …
rdc_ohv9oom
G
If anyone's wondering its an ai that can make art and moving art and is out shin…
ytc_UgxHmqm3M…
G
yeah Google tried to force that Gemini on me. and somehow they tried to slide it…
rdc_o768ivy
G
No. Im using chatgpt for therapy and absolutely love it. I do what i want…
ytc_Ugy8P1IL8…
G
No, only 2 genders and money made up. Stars are real. Like earth. Stars catch…
ytc_UgzARmPFv…
G
I don't know about cybersecurity, penetration testers only focus on scratches, t…
ytr_UgzAcVOie…
G
Since others are just downvoting you, I figured Id try and answer the question. …
rdc_lz6f0y1
Comment
While I don't think labeling this issue as a discrimination of minorities problem is the right approach, I suppose it's a valid point to further improve ML algorithms.
However, this has nothing to do with how cameras work but is rather a problem of choosing the right training data, which every serious data scientist will know. The problem there is that we deal with millions of images and those represent the internet (which is mostly Caucasian/ Asian).
Solving this problem is also not as easy, since we'd have to categorize faces first and then down/ up-sample, where both may not lead to the desired result. Since there will always be less data from minorities this might always be a problem we have to deal with - at least to some extent.
It's the same problem with languages, English Speech Recognition is far superior than any other language since there is much more (high quality) English training data available digitally.
Nobody wants to discriminate other languages but it's just how ML works.
youtube
2017-04-01T12:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugg0P6eSGamgZ3gCoAEC.8QhnIMktLiH9a-AXDRTVjt","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgiT1xsLd-RVXXgCoAEC.8Qhe7QOhJJs8Qnpdhgq7-h","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgjDVtJYNFAdZHgCoAEC.8QhcibrfBWE8QkXIqvGXGI","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgjDVtJYNFAdZHgCoAEC.8QhcibrfBWE8SEoKv05fkF","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Uggvke99CupQLXgCoAEC.8QhbB3CvNAk94ecA4DJD2z","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgiJyUNV5Tmua3gCoAEC.8Qha7yM-idF8QheEFt9-xY","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugg2jSZwDwP8XngCoAEC.8Qh_lYSf2Vb8Qhmze2pafh","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugh5xF2Y018o4XgCoAEC.8Qh_Zubxgoo8QheN_DUxBw","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgiiE7_tTNiTQ3gCoAEC.8Qh_Q8oFG358QoS8suc1FC","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UghYxMscACI7AXgCoAEC.8Qh_MON5kdg8QhhOZUeRRF","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]