Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
8:27 good god man could you be lazier? You don't even address the problem of une…
ytc_UgzXK_Sa-…
G
reminder than an AI training model only uses existing work to learn what it is s…
ytc_Ugw_zzoJA…
G
Its not a teachers job to train students on AI use...we teach critical thinking …
ytc_UgxCPqOoD…
G
Years ago, I started doing digital art using my Wacom tablet. Lots of people, in…
ytc_UgxzDvfyZ…
G
If companies didnt screw drivers over so much they wouldnt want driverless truck…
ytc_UgziYO5x-…
G
Until now AI was not really helpful when I need to problem solve anything. Espec…
ytc_Ugx3Uw2FE…
G
Yeah this is a strange group. I mean considering Taiwan is fairly allied with a…
rdc_gt5p4ki
G
@ the problem with your claim is that Ai generated content isn’t stolen from any…
ytr_Ugxy4snpD…
Comment
Alex, you are dead on right about the potential use of AI to help straighten out the government legal infrastructure. The US NRC is a case in point. They have so much unintelligible trash in the rules, and rule interpretations that doing the research for anything is horrendous. Using AI to help improve government infrastructure and the information fed into that is a real time NOW use of AI that should go forward as a test bed now. Here's an example: What if we had AI use all the various federal legal content to develop mimic Supreme Court findings. AI could help backstop or inform the decisions the justices pass down. Some of the findings in the past few years seem to many simply bizarre -- contrary to the most basic tenets of the Constitution and our interpretations of it. To me, using AI for that kind of application today is a very current highly valuable use. We could learn the risks as we go.
youtube
AI Responsibility
2026-04-23T03:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx0jZGEmmCzzkikMBB4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwQ6HmQY2a3kGiSktJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugwx4dX6hKC-CB73qfB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugyg5a6J5GDAXKcPRwd4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugz8cyF77l0p_laKkK14AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzcnNKJLbe-jrQoJR94AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgySG8PPi1T1wqVcEsF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgwtIwXwAsns8BusHXl4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzQG2oCPWZXIUZaEYB4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwSTqsoKCQPeNK0jX94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"indifference"}
]