Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
This is a complex topic, and its paradoxical, we all really don't know yet what …
ytc_UgwxgOE-u…
G
"Generational" learning is simply fascinating. There's an example of a generatio…
rdc_e7j8owp
G
AI is so dumb. It will devastate the consumer market. So all these “moguls” won’…
ytc_UgzGVbec7…
G
watch that video, "Sofia robot goes deep in Q&A by CGTN America, you will get to…
ytc_Ugxht_KFa…
G
There is no way the robots are that far advanced. This has to be AI at its fines…
ytc_Ugwz-Mcnr…
G
As far as open source software goes (depending on the licensing that Stable diff…
ytc_UgxQoGBhE…
G
Commercial AIs are old. They are not even the cutting models that they have inte…
ytc_UgzFLzCp9…
G
Ok, like, I hate AI art as much as the next leftie social justice warrior, but c…
ytc_UgzQSGq_4…
Comment
Just curious, but was it randomized which of the faces (darker/lighter) was on top, and which was on the bottom? It wasn't immediately apparent with the tests that were run after, but in both the Obama/McConnell and the 2 cohosts tests, the darker face was on top, which may be why there was an implicit bias towards the lighter face.
If not that, the "racist" face detection can largely be boiled down to the algorithm being fed more training data of white people rather than black people, a consequence of darker skin tones comprising a minority of the population. As such the ML cropper will choose the face it has a higher confidence is a face. That could be the source of a racial skew.
youtube
2021-03-31T13:1…
♥ 1829
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzWhVH5ATT6wrmK2O54AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyJvM5trsIMsjVZa_x4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"curiosity"},
{"id":"ytc_UgyoEw6oKg_90lR-Fcx4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugzzhu128LxFBepqqpN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxqfwQTMEUXhXjKLxd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw5ltNuo07nGrn_oVF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyo0yBl1Y4Bz8kH01p4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"frustration"},
{"id":"ytc_Ugx3SBvBK7VcA2N6xHB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzPDb4aFwI6Vgl2xMV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugxa8OZ7f8VaF0PTccd4AaABAg","responsibility":"none","reasoning":"mixed","policy":"liability","emotion":"mixed"}
]