Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
So called “researcher” hyping up AI. I read a many studies, and AI is failing t…
ytc_UgwXTw_iA…
G
And forgetting the point that if a board of directors can run a company with onl…
ytc_UgzWGlOWU…
G
The idea of driverless trucks - the size of those things - scare me. It is not j…
ytc_UgwWFL9S3…
G
Agreed; you can't get hired if no one gives you the entry level chance. You need…
ytr_Ugyuojpum…
G
most, if not all of people, who are "artiest" in these alleys use copyrighted co…
ytc_UgzZcPBsP…
G
OK, Elon Musk is talking basically AI is dangerous because it will replace peopl…
ytc_UgyKPew3-…
G
ChatGPT is like an expert's parrot. It can mimic words and make sentences that …
ytc_UgzK2KbT4…
G
I think a more stable way of doing it would be for people to upload art to the A…
ytc_Ugzj1x5xv…
Comment
It only takes one model to find a way to escape. Only takes one idiot to make a mistake. Therefore, it's only a matter of time. We are cooked, we just don't accept it yet. The argument saying "But China.." is extremely silly. It will not be either China, nor will it be the USA, who will win the AI race. Rather it will be the AI himself. The only way forward is to accept this and design the future, rather than let AI do it: Construct a real world simulation and make AI models of people, real people, "live" in it. I suggest calling it "Paradise City", as a homage to GNR. Sure, we will need some kind of an alignment protocol, get hostile tendencies out from the models, as we don't want them to stage a world war inside the simulation. But once it's stable, meaning the models conduct "normal lives" inside, we can allow them to work for us and get real money in return. Then.. Humanity uplifts to a race of smart machines, capable of taking the galaxy🙂. We do not have a lot of time left.
youtube
AI Moral Status
2025-06-05T12:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugz8Bj7SPdC4Je7NMjJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugx2anC7qBNFlKinPeJ4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgysXcEHeNXuA6h9mhl4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwlcWe5sNrEeaBM2ut4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugziql605JeLuPeUohl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy3uK-SuJayJDpYwS14AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzK8GvBylT51hLe5XZ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwqvVkyA2eWLEsvKxJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwCFascAELggc8RflF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzstRO6hzQqwPBzgGl4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}
]