Raw LLM Responses
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G
Stop worrying about AI. ❤ You don’t have to figure it out to trust that another …
ytc_UgzXtWJMN…
G
If the goal is purely safe transportation from point A to point B, be it freight…
ytc_UgzqVF-d4…
G
I take for granted that newer iterations of LLMs having guard rails in place for…
ytc_Ugwbcwejp…
G
To be 100% fair, you can't reason with these "a.i" artists, they are just second…
ytc_Ugxn7jbOj…
G
@Kal-ug2fz Correct and humans should use AI to do new things not just churn. And…
ytr_UgyMB3jZa…
G
Removing that robots face & seeing what’s the reality behind is equivalent to wo…
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G
If this was a real robot. It would still be cheaper than the real thing and it …
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The US has brain farts, it never has any kind of plan or strategy beyond lie, sc…
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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"}
]