Raw LLM Responses
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G
WTF do they know that ai is dog shit at making art so why are they defending thi…
ytc_Ugy9mnQzZ…
G
Thats why i dont like self driving cars
It could litteraly drive of a clif and …
ytc_Ugxhm7ukg…
G
just went to their page on Twitter and oh my god they have no shame in posting t…
ytc_Ugy44X6CS…
G
Yeah, but the subtlety of the point is that they are still not better at discrim…
ytr_Ugj34Qf8U…
G
He's right in the conclusion, but his logic is terrible. Besides AIs don't "comp…
ytc_UgxKPB-Ie…
G
As someone who is an artist myself. I agree that ai art is a serious issue… HOWE…
ytc_Ugxbvz4fO…
G
As a person that *literally* can´t even draw a stickman right, I love seeing art…
ytc_Ugwi66xTd…
G
@PentaFanAccount Do you even know the time it takes to create art? And no, you c…
ytr_UgzBFTrfY…
Comment
The term "bias" has different, but related meanings in statistics and machine learning. Since a lot of people learn statistics before they learn machine learning, I thought I'd point out how to relate the statistical meaning to the machine learning meaning. However, regardless of what oder you learn the concepts, here they are.
In statistics, bias refers to consistently over estimating or consistently under estimating. A model with high bias will make predictions that are (consistently) way higher or (consistently) way lower than they should be. A model with low bias will only be off by little bit in either direction.
In machine learning, bias refers to how well the model fits the training data. A model with high bias will have a poorly fitting model, and its predictions will be way off - but maybe not way off in a consistent way like when we talk about things in a statistical sense. A model with low bias will fit the data pretty well and the predictions will only be off by a little bit.
NOTE: "over estimating" is different than "over fitting". In fact "over estimating" is more closely related to "under fitting". If we consistently over estimate something, then our model can not be over fitting the data.
youtube
AI Bias
2020-04-13T18:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_Ugy1Xyf8l5ei-znl26Z4AaABAg.9CWvWNurqny9CXpFzHBVsa","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytr_Ugy_FVI8-8up3Pn6Uwt4AaABAg.991xp5E2ooU99UvR31M7h_","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_Ugw8-jz4mGyNdpgQX6h4AaABAg.97OjzA2wrnv97Ot9iNnLWh","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugw8-jz4mGyNdpgQX6h4AaABAg.97OjzA2wrnv97P4kjd3_CG","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyBGSa7ZL_DpSXgnZB4AaABAg.96phYbPX3GN96q2sUb0j9_","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgzaZQogfBQPFKvKK4p4AaABAg.96ZWOXkyIkQ96ZiPX2NeAb","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgzpejckazGIdWMwAEp4AaABAg.94YA8CfU0hp94YkGJjRErS","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugyf4LmYOAFNEGVFgMV4AaABAg.94XRA_4kctd94_82WBUqEm","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwMIA9cjPvOjrFTk0F4AaABAg.90-EtnredYt90-zcl2_hvD","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]