Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
@Ocelo Thanks for the civilized answer. (something that has gotten rare on the I…
ytr_Ugyd9st5X…
G
while I totally 100% agree with your analysis, I also think there is something t…
ytc_UgztQHXJ4…
G
AI is a mocking, cheap bastardisation of someone's hard work. Often with too man…
ytc_UgyOmkT4r…
G
I use AICarma to monitor AI perceptions of my brand; it's essential for staying …
ytc_Ugz39BXtX…
G
AI does not forget, it updates.😢
Do you want to be the species that cried wolf? …
ytc_UgziwnQ9M…
G
lmao if your art is whats in your profile picture no wonder you feel so threaten…
ytr_Ugws9F923…
G
It’s hard to tell because it could be a human or a robot it’s so hard to tell…
ytc_UgzKobebP…
G
Funny you mention AI study buddies - Olovka has been my go-to for turning messy …
ytc_UgxE3CU2g…
Comment
Same issue with self-driving cars. The major problem is accountability, combined with an 80–90% success rate on even the most basic tasks. The real root of the issue is that you don’t know which 10–20% will fail. And when it does fail, it becomes increasingly expensive and difficult to find the cause.
The amount of code an AI can churn out is impressive, but it operates on a scale that is utterly unmaintainable by humans.
The interesting part is that while a self-driving car will likely cause fewer accidents overall, when it inevitably misreads something and runs over a two-year-old toddler, you’ll be hard-pressed to find someone willing to claim responsibility. Is it the passenger in the car? The manufacturer? The software developer? Or will the state ultimately handle the financial settlement? Who goes to jail?
Now think about software written in the same way. If something critical fails - financial systems, medical devices, infrastructure - who the hell is actually accountable when no human fully understands the system that was produced?
youtube
AI Jobs
2026-03-08T16:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzmU_IztqW-0pATFbp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxi7ozN3A7zzNkzTnp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyNl2H9Ar0rOu1v6ZJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx56IHMcwIrBYLl99J4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwhSfJLSFFL5gIcxzB4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugy9lpBoO8_TiJFjcr54AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyE28uGHzzYl4rEBFt4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxeN-xluOs7VdnTbTZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgyuNqFqmmcAvmlbvH94AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzKnCWoZw7HTe087OB4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"}
]