Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Nobody actually thinks it's more accessible. They mean that making *high quality…
ytc_Ugx48_PGF…
G
I have a friend who was a Rocket Scientist with NASA. He retired to become a bla…
ytc_UgwO6loZX…
G
Honestly I'm fine with people selling it as long as it is made very clear that i…
ytc_UgyN-1glj…
G
On the one hand, we can be worried about losing control in subtle ways. On the …
ytc_UgzeZR3BM…
G
Don't get me wrong, I think the only thing that will prevent humans from killing…
ytc_UgyIL8Gdd…
G
Mr. Musk, you and MANY AI engineers and scientists and developers know that AI i…
ytc_UgwxvqOxW…
G
I’m cool with that if it is closely monitored. I for one find it hard to trust A…
ytc_UgzHq44hP…
G
Are the voice overs in this video AI? You could obviously hear the robotic main …
ytc_UgyDYOldr…
Comment
That would have to be one very complex dataset used over time fed every conviction and how long it took for the same person to commit a crime again to be useful. The problem is most of the dataset will be black males so it will be a basied dataset. The reason why is policing by humans arrests more black males than white and asians combined in the USA. With a biased dataset you will get a baised AI with incorrect results. So to do it correct you will have to chop up the dataset into demographics due to how the policing in the USA works. Having racism removed from the AI via having the races separated in the data. This will result in a more complex AI but also might be looked at as racist by ppl who don't get how AI training datasets work.
youtube
2022-07-30T17:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx0rOf-YsZlQXSAAdt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxs47swESkB8PSnEel4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugywyf6HJwovz8if_sx4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy5uZ1D7jsHUe_haLB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx-JwPV4YlWtBD4EV94AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugxsx1wtoi6wJZmyyAB4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxw49NGSolPbowh-714AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwNQz4Cle4NHtPO_154AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx3obXyY08LbIRDApJ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzrdeD_eXFN5jbReXJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"resignation"}
]