Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
John Case that's not a self driving car. It's an automatic mode for the highway.…
ytr_UgyrmzWNx…
G
Any company replaces its people with AI owned by somebody else will be wiped out…
ytc_Ugy6uqe58…
G
Yes, as a Computer Engineering Bachelor and someone who's working with a Camera …
ytc_Ugx2P2voC…
G
Rising unemployment rates have been an issue since even before the rising use of…
ytc_UgwJjLCIQ…
G
Perhaos we should have a balance between, AI and real people.
If i were you, id…
ytc_Ugx1kTFtk…
G
Parents need to be more in the know with there kids This could of been avoided…
ytc_Ugx3CGAIA…
G
My bestie redid this piece of AI slop too! Now I can have two pretty drawings! I…
ytc_Ugwhrci-S…
G
AI can be an incredibly useful tool. But it seems like a lot of people are embra…
ytc_Ugxig-b5Y…
Comment
Leveraging a Large Language Model (LLM) as a judicial reference point prior to generating output is a sound strategy. This involves deconstructing the primary query into sub-questions and then utilizing the LLM as a reference, supported by validated sources to substantiate the final output. Employing weighted scales to assign confidence scores to specific values further enhances the process. The primary challenge lies in the immediacy of output generation; however, a more favorable outcome can often be achieved by allowing for additional processing time. Maybe
youtube
AI Responsibility
2026-03-25T22:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgxtaMqm9Yhe0eOBEjd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxGcI8CwYwqDCHTHyx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwyP5kKXpSN84kV01J4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxO9bipVDapxF8ea9V4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgxU17sIruI8CaFjiUt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzXsQJnLzwmjsfHZZN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyuB13aSvot8bg35XJ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugy2FyvdhO1814mm5sJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgwDaUutZXic3I6a1sh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyiPjnbf8O_PNRibI14AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"}]