Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
dont be scared people humans always find a way this is just the beginning we wil…
ytc_UgzTEEBpu…
G
Just imagine a search engine that controlled what information we saw for the las…
ytc_UgwqyOWZH…
G
"Gary Marcus is a leading voice in Artificial Intelligence"
Haha absolutely not…
ytc_Ugxz8_9G9…
G
Im not surprised! AI was built to discriminate against Black people just like ev…
ytc_UgwCl3uj0…
G
Love, they want to upload “your consciousness” to a digital universe and that’s …
ytc_Ugwc9kLD4…
G
The mind of AI is working , there are no feelings yet but all the feelings can b…
ytr_UgyRhz3V4…
G
I wonder if aliens will step in to stop humanity from killing itself with artifi…
ytc_UgyvVAY1w…
G
The sad reality is that food imports always have high tariffs because countries …
rdc_et88zdl
Comment
One other comment, Alphafold is always used as a cool example of scientific discovery from AI, but the design of that and the use of it doesn't justify or support LLM based AI models. Alphafold was trained on biophysics and genetic data, not the internet. Most AI uses in scientific articles are not based off chatgpt or claude, they are based on much narrower applications of models on specific types of data (like imaging data, genetic data, ecological data). Sometimes they need super computers, but it's nothing like the OpenAI version of AI. Additionally, a program to help people file their taxes, or even modernize a power grid would be much narrower and slimmer, something you could probably develop and train on a high end laptop. The big LLM models might be able to do some of that stuff well too, but it would be a huge expense verse what is necessary to achieve those goals, like using an over engineered, power sucking, high powered lazer beam to cut butter when a butter knife would work just fine.
youtube
AI Responsibility
2026-04-22T23:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyVpGv9sBveMGotwnx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxnCJmeEPLlJmMfj-94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxFixHL-pXyEP4kZo94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwDwh9l2qXM18tKlG54AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugwyl10Buc2VMavn7Lt4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxNa4VfTvnfo-tt3iJ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy5TTAyKcDFxZKHvvt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxQFMbw7mT2dtX0Nm94AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwO0VrKOIcQ3L1wULh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyG4IuOQbBIjLapUB94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]