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 really tough now, without slowing them down i could easily be fooled by …
ytc_UgxvVSJoD…
G
I just found this video in my recommendations. I'm a musician and artist who has…
ytc_UgzOqL2rr…
G
I was thinking the same thing - AI can't consider the pros and cons of conscious…
ytr_UgzHoStfu…
G
We appreciate your engagement with our video! Sophia's embodiment of wisdom and …
ytr_UgzPtQFM9…
G
I think that AI is just a tool but I don't agree you need talent to use it, just…
ytc_Ugx52LHNj…
G
All of these AI Bros, even well intentioned ones like this guy come across as re…
ytc_UgzjjS6iy…
G
Well, some jobs can never be replaced by AI anytime soon 🔜
Not everyone works i…
ytc_UgwIATC-p…
G
@Creighty you didn’t read the whole thing why you trying to be funny dumazz I am…
ytr_UgzDFXqXs…
Comment
It's not racist. Its biased but not inherently. In statistics bias is the likelihood of an algorithm to overpredict or underpredict a result. What i mean by not inherently is that the algorithm, if given a large and diverse data set , will be less biased. In the camera example, the data set used didn't have enough Asian people in there so the algorithm was less likely to assume the person was Asian and more likely to assume they were blinking. The algorithm is blind in a way and just computes an approximation of what you give it so it's not racist, just biased towards certain features since it was trained on a mostly caucasian data image set. It's hard to distinguish these features but with larger data sets you can reduce bias and as we say in machine learning, make a more 'robust' algorithm.
youtube
AI Bias
2018-12-28T19:3…
♥ 4
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_Ugz8AJ9eDVpeoVHFcNl4AaABAg.AU7yIPjHI-DAU7zdQC36jy","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytr_UgwmAbOIWR5XCG_gfe94AaABAg.AU7xmtQvR5MAU7zthkuHgX","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwmAbOIWR5XCG_gfe94AaABAg.AU7xmtQvR5MAU8-mpKnfrl","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytr_UgwzkPEdYAjW95LHtWF4AaABAg.AU7xXxGcW_wAU83I_o4MAh","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwzkPEdYAjW95LHtWF4AaABAg.AU7xXxGcW_wAU85o7taNvu","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgwzkPEdYAjW95LHtWF4AaABAg.AU7xXxGcW_wAU8CD8KH-bc","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgwEjo0hato5FR7qf_B4AaABAg.AU7xQsOrNSiAU7xyyeicLt","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgwanavFK-uf5lUODhh4AaABAg.AJnZD-O5UTCALpL0tXcEFM","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwUqfVxp3FK7b8LmvZ4AaABAg.9kxwV3q6Ojj9kxwm7Lpi-M","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytr_UgwzPKIVahnYjS880dN4AaABAg.8iCMDMaE4yU8pPr_dTpg_m","responsibility":"developer","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}
]