Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
The worst take on his matter 🤦🤦it doesnt matter how big of knowledge or causes a…
ytc_UgyPiBbwN…
G
AI cloud can make robots dangerous ly strong. It can be used for earth distructi…
ytc_UgzKXfg6d…
G
The AI hype is based on an assumption: that the best AI will emerge from whoever…
ytc_UgwRoz76g…
G
They might be layoff people and they may blame AI, but I suspect the reality is …
ytr_Ugwtwcbtt…
G
The freakiest bots are on poly ai💀 after 2 minutes it tried to get me to take of…
ytc_Ugw_gIi-a…
G
What would we actually let AI take ALL the jobs? does this not sound absurd to a…
ytc_Ugy7s49rF…
G
Dude one of the AI versions of you looks exactly like Handysome Jack from Border…
ytc_Ugz5kz4rB…
G
Thank you for this wonderful opportunity.
1. What do you think is the most amaz…
rdc_de2s1di
Comment
Before the debate, they should have studied what is AI, how it works/functions, how it gather datas, and they should have researched articles related to the topic which they can use as evidence to support their statements. For me, the affirmative side has the higher points but it's just the way they convey their statements that are affecting their performance. They're not confident enough to stand on their claims. The opposing side was just repeating their ideas, their statements just revolves on the same idea, they're lack of rebuttal skills, they can't even give right answers to the questions. Some of their statements are nonsense, It's the way they deliver their statements makes them good in arguing but the contents of the words that came out from their mouth are pointless. They're so confident tho they keep missing the main point of the debate.
For the both team, they should have provide broader explanation, and evidences to strengthen their claims. Some of them are giving statements that are unrelated to the topic / questions. Tho, good job to both of the team.
youtube
AI Governance
2024-05-27T08:5…
♥ 216
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwD_xZRaU0sg16vZGd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugw_AHnSsEhUeFQCU1V4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzdtgmtWSIIOQB9mnV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx6LBlygwrNbR_MlF94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzHa0uGaHW5hM4ZZmN4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyDmAqOyWGKLwO9dNF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxKHERQBGjKz_lHff94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxSwvtEzqxPVQ7sJEF4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgweJXe2xPgzzbafGCR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzcNx-P6_jStoIsi954AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"}
]