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": Yeah I'm really proud of myself with this one. I typed in *2* sent…
ytc_Ugzw--P4C…
G
The only reason why I hope Oriana didn’t know about her boyfriend selling AI slo…
ytc_UgwK1SLRx…
G
Does anyone realize that this YouTube Short that we’re watching and commenting o…
ytc_Ugwjm0QfU…
G
Stop trying to prevent progress, this is the future whether you like it or not. …
ytc_UgzGsm-Ph…
G
All of this is based on the Internet. Either we shut down the Internet, or we ke…
ytc_UgxXeOrI6…
G
Creator God will only allow them to go but so far with this AI robot scheme.…
ytc_UgzORxCaX…
G
Artists should be demanding royalties in all commercial images their art was use…
ytc_UgxzKc9ik…
G
Why would AI robots be more beneficial in locations they are used? Manufacturing…
ytr_UggYw13Ys…
Comment
Larger models are mostly empty void solution search space. Therefore mostly a waste of compute. Focused models are more powerful and less expensive and results based. Taking a LLM or FM LLM by itself without a lot of harnessing and or fine tuning is going to give within distribution generic slop. Remember we are building large language models on tiny datasets. The internet is so small it is less than 1% of data and they are not using all of it, they are using a small percentage of that. I say 1% because data is constantly growing, it is not 5% fixed. We produce more each year than decades when it started to grow.
youtube
AI Responsibility
2026-02-13T21:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgyS-NM7-dras6wOkcx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"ytc_Ugz5mEQG8Xej7xAbRqN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},{"id":"ytc_UgxHWErflSBabNRMvBF4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"ytc_UgwwKRpKDB0VAFM6lPl4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"},{"id":"ytc_UgwWGJsQCFl2ma5bTF94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"ytc_UgzatYnP7Lfiozrpadh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"ytc_Ugyte8-PQGpfeBV_vyV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},{"id":"ytc_Ugx382hSG92YWzzZIQt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"ytc_UgxZBtRnZeZ-1kNUMNp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},{"id":"ytc_UgzE6rU3eg-EFhLpXcN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}]