Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Family suing over AI chatbot after teen’s suicide | Morning in America
---------…
ytc_Ugz9t34YH…
G
Robot with great sense of humour 😅 you can feed information to AI but i wonder h…
ytc_UgwuDm26X…
G
Its not just youtube. Since the latest samsung update I think even my phone came…
ytc_UgxGPloof…
G
A simple response would be tax AI companies more to redistribute income but I gu…
ytc_UgywA23S0…
G
You and everyone else pretending like it’s more than just a program. The point i…
ytc_UgwKBnOek…
G
@ledumpsterfire6474other companies need remote driver that lives out of country…
ytr_UgxwxUz9G…
G
Regulation won't burst it at all. It will stop corporations from abusing it and …
rdc_lgngfo1
G
If AI replacing 80% of jobs cannot coexist with current capitalism.
Either:
…
ytc_Ugz7w5Pls…
Comment
Also AI is only good if it has a lot of training data. If you are using a fringe language for niche applications, the results can be quite hilarious.
Copilot, how can i do [complex niche math transformation] in R ?
This is easy, just follow these two steps :
library(complex_niche_math_transformation)
transformed_data <- complex_niche_math_transform(data)
If everything would be so simple 😀
Also, some popular libraries have been evolving very fast and AI is making a soup with the syntax of the different versions.
So far, never obtained a code that worked directly, but it can often be a help to think in the right direction.
youtube
AI Jobs
2026-02-20T08:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[{"id":"ytc_Ugw1caXwhDLrEha_LH14AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"ytc_Ugz_8SZ2BZu1LptnpRJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"ytc_UgwFfwV2a5IpPxrUCtF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgzoAzsXle22wBFZQ8Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugzei8Jj8-2mGBNF6MF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},{"id":"ytc_UgxMEHl1cxX-YxDH2rN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugznewt2vl6wAcEccrB4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"ytc_Ugz01jaM79KnlGcUlY94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},{"id":"ytc_UgxNgWfeXka58uICzdd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugxw1_m83tyNfFQ3rCR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"}]