Raw LLM Responses
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He added this video to make it seem like the voice AI is chipping, but you see h…
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Prediction: The AI will generate its own code that humans can’t even decipher an…
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🤖 "I literally trained the AI that took my job."
That quote haunts everyone watc…
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A lot of AI straight up just takes pieces from peoples art, which can be seen wh…
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look. I wanted AI to handle telling me what food was going off, and watering my …
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Am surprised so many people in the comments are opposed to this change, one of t…
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Write messed up code-> flood github with your shitty code base -> AI learns from…
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Anyone else feel like the fast pace of code generation is a double-edged sword? …
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Comment
Just for reference, my HR professor told me that affirmative action exists as a "tie-breaker". In that, if you have two candidates who are the same, affirmative action helps the minority. The fallacy with his reasoning is that you can't have two candidates who are the same. Unless you have an incredibly poor recruiting process, no two candidates should ever be equal in merit. In terms of people hiring people, you have managers who will "reduce" the merit of one group in order to hire a quota of another group by "increasing" their merit based on title VII characteristics. Implicit and Explicit bias exists not just for people hiring white-males, but the other way around also. My boss during his last hiring event told me he was looking for a certain minority (forgot which) because his boss told him to hire for diversity. This is even after they already hired more minorities than whites, and more woman than men, but they didn't hit all of the possible races. This issue happens a lot for businesses afraid of being called racist so they create quota systems (without actually having one) and will hire a broad range of people, removing the most qualified to hit certain Title VII checkboxes. Hiring for diversity based on physical characteristics does not always mean your business will perform better. Hiring for diversity in thought, background of education, and background of work history is what you want to do. That type of hiring brings in fresh ideas and reduces group think. The problem is that sometimes, this can lead to a particular group, based on physical characteristics, having a higher rate of being hired than another group. People call this an example of racism when it is purely an example of good hiring practices to benefit the company as much as possible. This leads to the AI, if its' job is to benefit the company as much as possible, will hire based on merit and will at times appear racist because it will ignore physical characteristics. Only by actually focusing on physical characteristics can you completely remove the "image" of racial discrimination in your hiring practices, but by doing so, you are performing racial discrimination because you are focusing on physical characteristics which is not what you are supposed to do based on Title VII standards.
youtube
2018-04-25T07:0…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwW2Su-HNh79_zizCx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyshck8JT4Xi1KQdhN4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzZo9Hq3s_RFLzcEkN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz0v3spUNXwZ8ovDrh4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyKgwj_M0RUqObMgZJ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyQ4r2Z6RuG62CMhNN4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzBs4t6DIxJOHW9RSB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzxJvwgC9BjG5-9EwB4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxDGOLAYV8OeIAyVjF4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwCYWbagIZGTp_-xCp4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"}
]