Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
foppypoof5195 one the one hand i am proud of you for achieving the impossible an…
ytr_UgyHLdtkl…
G
I know what's coming, mass human slavery by the super wealthy using AI, robotics…
ytc_UgyH4r-1g…
G
How can we use AI to get more pubs? Any free software that can be recommended?…
ytc_Ugzh_UQXW…
G
Kind of a jack-off move forcing your experimental conversations onto other peopl…
ytc_UgyKdvVxt…
G
As someone who has made a successful living for 25 years, composing music, I can…
ytc_UgycxZHNV…
G
Incredible storytelling as always, Dagogo. But i wanna add that researching are …
ytc_UgwYV9k6s…
G
In just two hoyrs I ve heard of two people to br the grandfather of AI...…
ytc_UgxJNKlQL…
G
School is meant to teach us how to do math, learn history, spell/write, and talk…
ytc_Ugy6j7wol…
Comment
Admittedly, I only got about half way through the video but this is just stupid. Talk about bias... First she says people have unconscious gender bias of some sort and immediately makes the assertion that this automatically means they are actively perpetuating inequality and discrimination without even qualifying these terms. She then goes right ahead pretending that this leap was logical.
Next, she lists characteristics generally associated with men and women, respectively, and manages to choose three _positive_ traits for men and one _positive_, one _negative_ and one _neutral/negative_ for women. That is rather suspicious to me.
She then claims that the "Implicit Association Test" says most people have "significant gender bias" which is apparently a statement with a moral connotation even though that is not supported by the experiment she described. She further claims that this "comes from" what you see on social media (how exactly has this been established as an ultimate source?) and gives the example of some list of recommended people to follow. This list is clearly sorted by "Most Followed," which is an objectively quantifiable parameter that is incidentally also quite naturally going to be a prominent criterion in any automated recommendation algorithm. This woman is either stupid or really biased and disingenuous and motivated to serve an agenda.
youtube
2017-01-27T11:3…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgwxUPhQsL3iEothQgp4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugxw340wJbAZYEFHp914AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyfWLlQL75lpgx9ort4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgyEdr-ckoNnwS80eDx4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"ytc_UgywweBqZiqoat1-NiR4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugxaz_Pgh04HDouQAg14AaABAg","responsibility":"user","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxYf529_ftF5V7v69x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UggYRXFi51Yx3XgCoAEC","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgjXuw5OcrzPTngCoAEC","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgiZ54KqrSedj3gCoAEC","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}
]