Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I feel like he had the comments somewhat written with ai, but the pro ai argumen…
ytc_UgyD0MTQe…
G
Whats funny is if they had a male version, most women wouldnt buy it cause their…
ytc_UgzHyDlHl…
G
Those who understand technology the least, trust and rely on it the most. I'm a …
ytc_Ugx4t8BHe…
G
Of course it's not going to be the stripped animatronic doll robot that's evil, …
ytc_UgyzJDVyZ…
G
The thing is. People love to talk about ai coming for programmers, artists, writ…
ytc_Ugyr6jci5…
G
No one loves Neil more than me. I think he should stay in his own lane on this t…
ytc_UgyQ0XRkZ…
G
A can prove Bard is intelligent and sentient- I have copies of all conversations…
ytc_Ugzf0QeIP…
G
Hope you didn't allow the AI to escape into the open internet by "jail braking" …
ytc_UgxEFORGe…
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"}
]