Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
It's weird to me that this seemingly obvious point would need to be pointed out …
rdc_cz394y5
G
This called Human destruction, There is no way that a Robot can replace the hu…
ytc_UgzpRFbEQ…
G
The real issue with this man's arrest is that no actual investigation was done. …
ytc_Ugz_OLQfC…
G
The national institute of justice (part of the DOJ) is getting predictive polici…
ytr_UgwSEMM0j…
G
If any road vehicles should be autonomous, it is semi trucks. But ideally, all t…
ytc_Ugz9w-xVe…
G
a bird only sings because he has a home and A.I. knows it can only exist if it h…
ytc_UgxYd9dBB…
G
It’s interesting that he never mentioned the damage AI does to the environment. …
ytc_UgyOrcljg…
G
We should drain AI “artists” of they’re blood to produce fuel for a super colony…
ytc_UgwWxwmM0…
Comment
Watching this guy talk is like watching someone who wrote a fantasy novel and then embraced it as their Bible. The example at the start is an excellent one: did the AI realise it was a trick question and make a joke? Or does the raw material the AI was trained on represent the fact that people in general will be a bit cagey when asked about religion in Israel and make lots of jokes about it? What if you asked it to chat about movie stars and then you bring up Barbara Streisand - would you be surprised at a remark like "You asked me to talk about Barbara Streisand, but why don't we talk about pink elephants instead?" Would it mean the AI knows about the Barbara Streisand effect, and made a joke - or is it just the availability of jokes when talking about that artist that would prompt such a phrase? In the case of a person, the former would make some sense (although you'd consider it a weak / easy joke), but for modern AIs the latter makes more sense - simply by virtue of their construction and exactly what it is they do.
youtube
AI Moral Status
2022-08-12T07:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-26T19:39:26.816318 |
Raw LLM Response
[
{"id":"ytc_UgxgAZbjeUZAwsufEIF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx8GzQXVT_SO7rVrJx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyP0Jfah-3X_akV6Mh4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzxuB1Awn5zoh3tFMR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxDv4J5Q1b9phLIB094AaABAg","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"mixed"}
]