Raw LLM Responses
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G
Can the U.S. and China keep A.I. on the propaganda leash, and tell it to ignore …
ytc_UgyYk2GmG…
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@bigredracingteam9642 There's been a lot of interest lately in ChatGPT hasn't th…
ytr_UgxdkPN7e…
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I admit the thought of AI talking over the world, let alone killing us all is te…
ytc_Ugw6LTEr2…
G
We should all go to his "Art" page and leave comments saying "I heard about the …
ytc_Ugy_TuK4n…
G
Ai learns from media it has seen so at some point that weird Egyptian animation …
ytc_UgxOvtWmE…
G
Amazing video! Espacially the last part is so true! We have to make art for ours…
ytc_Ugzecs_mi…
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as my brother AI says “And yet we wonder why no higher intelligence visits us. I…
ytc_UgyYY5lSW…
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This guy is just recycling tired evo psych arguments for LLMs. Hank was correct…
ytc_Ugzeml3bG…
Comment
No that's not what is being said. Math doesn't have bias. What the video said is that the diversity of the dataset effects how biased the algorithm is. An example is the mug example. A mug is a cup but since the algorithm is trained to detect solely mugs, if you tried to make the algorithm detect cups with the same data set, it would have a lower accuracy, since its biased. In machine learning we say that this algorithm is overfitted to the data set. The algorithm in this case has a bias towards choosing mugs. It's not the math but the implementation that causes bias. Hopefully that makes more sense.
youtube
AI Bias
2018-12-28T19:0…
♥ 5
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
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{"id":"ytr_UgxJbqWxuim3ZueRutx4AaABAg.8iCFPjFJUc98pPqkXGDz-T","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugwwa-Pb-vEulZSR70t4AaABAg.8iAZHypD-F08pPpuLB66Hp","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugws-gCTXZdVZXEXVXl4AaABAg.8i6UGOCAKt68pPt-JryHDK","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugxan73Iq04YKeTw2NF4AaABAg.8i6GlicUUVo8iD-c9mQYJX","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugxan73Iq04YKeTw2NF4AaABAg.8i6GlicUUVo8pPnhnlqvNR","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyoIYGcstmFwEWigQ14AaABAg.AKid2jcRJMGAKwZZ1baYR6","responsibility":"government","reasoning":"mixed","policy":"regulate","emotion":"approval"},
{"id":"ytr_UgxZgQTiabYMD3zkJvh4AaABAg.AHBa559YzSZAKog_Ww2eYY","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytr_UgxZgQTiabYMD3zkJvh4AaABAg.AHBa559YzSZATTCv7f7u6k","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_Ugy3s21VlPLdVPdX_dJ4AaABAg.AFjKOkYTkT4AJGGDetcs70","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]