Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
whether or not an AI is sentient, whats the point of creating AI if in the end, …
ytc_UgwKMSN9L…
G
we need more MCP, model context protocol. layers between the llm till it gets to…
ytc_UgyKrHzBq…
G
I'd be curious as to the passage that was interpreted this way. The traits of…
rdc_djlen2x
G
"Artificial intelligence is a driving force to change humanity by helping people…
ytr_UgxHLPx0g…
G
The coming of "Satan" at the end of the world mentioned in the bible is the "AI"…
ytc_UgxgpYVnS…
G
Idk, I usually go with sonnet 4.6 for easy things, opus for more complicated one…
ytc_UgxTym8X3…
G
No. Soon or later AI will replace you. These vids are just for adds. You see at …
ytc_UgwJUlfzI…
G
An AI model that creates AI models would be terrifying. Each grouped AI model co…
ytc_Ugy8i3mSA…
Comment
The way I like to see it is as a swimming pool.
Developed nations dumped endless amounts of wastewater into the pool for the past century to industrialize quickly without regard for the environment. Now that the pool’s 3/4 full, the up-and-comers are being told by the developed nations not to dump like they did because the pool’s nearly full, and to instead fuck off and figure something else out.
Then when the up-and-comers bring up the historical waste dumping by the developed nations, they say “sure we dumped shitloads in the past but now that we’re rich and developed, we spend a fraction of that wealth to build wastewater treatment plants that you can’t afford. Sure, we nearly filled the pool and now there’s a risk of overflowing because of it, but what matters is we’re barely dumping *now*,so you can’t dump despite our past prolific dumping.”
Doesn’t even work in the US’s case cuz they’re still dumping prolifically. 3-4x less people to generate wastewater and still producing 2x more per person.
reddit
Cross-Cultural
1617549575.0
♥ 423
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_gtcvyrq","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"rdc_gtcrbom","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"rdc_gtcx662","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"rdc_gtdfvfg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"rdc_gtd13yh","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"}
]