Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Ai artists instead should be lile writters or smth if they are so goodwith writt…
ytc_UgyHim-VI…
G
I'll do you one even better: let's all just stop talking to ai altogether since …
ytc_UgxLrB_mn…
G
It's become increasingly obvious that there is going to be a unprecedented event…
ytc_Ugx0JTsV9…
G
Except this time, the elites have superintelligent AI to protect them. They cou…
ytr_Ugxt7efSJ…
G
A much needed conversation and common sense. Thank you for both of your hard wor…
ytc_UgwNPWYMx…
G
I find myself being a sort of neutral observer in all of this. I mean the only r…
ytc_Ugwks2Rnz…
G
@donbusu I have faith in humans. I think we’re much more capable of empathy and …
ytr_UgzabovNA…
G
AI will outperform us at literally everything. Don't listen to people who tell y…
ytc_Ugw2e1bAB…
Comment
3:10 That graphic is very misleading. While it is clear, that the training of ai models can be very computationally intensive, you can’t just claim that the training for one model leads to x amount of emmisions. Models like the GPT models or Dall-E sure did lead to a lot of emmisions, but there are several applications, where the training of the ai produces orders of magnitude less CO2. The size of the model and the duration of the training matter! Also you have to consider, that after the training, so during usage, the production of emmisions are way lower. Still there can be a lot of trainings, because most of the time there are be a lot of iterations of the ai models.
youtube
Viral AI Reaction
2024-10-26T15:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugxg4j8RInMM3RCU6Ll4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyvaBdEgJD50rN0UgF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzxbirGWlDL2LG0wUp4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugy0BCgsc4jPpWPRC3x4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyyxHAOC9zu0GXATax4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugw-lh8eplHS5sVLuKd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxmemNCwHRAbCnvpVF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzNKJT-PltS3_auM8B4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy5-WNSZyRvehNjOoN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxkDmABty6Y7s0AbPd4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"}
]