Raw LLM Responses
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G
The prototypes will still have all the ai imperfections. Im not an artist, but i…
ytr_UgxEMnhjP…
G
You, and the paper, lost me when they predicted AGI within a couple years. Not g…
ytc_UgxAUoS_r…
G
The problem is the "in part" of the Convention definition.This could mean one Ga…
ytc_Ugxf-UcDh…
G
@candidone8544 So use that enhanced access of knowledge to enhance your knowledg…
ytr_Ugz7uPvAd…
G
hey there is ZERO upside to AI for lots of poeple in the world there are going t…
ytc_UgyNGqAfL…
G
I think you’re looking at agentic coding the wrong way.
LLMs are basically stati…
ytc_UgwxDfXyb…
G
In next 5 - 10 years we can see how the medical institutions will be changed and…
ytc_UgxiU4IAQ…
G
Bernie missed the most obvious remedy for average Americans - invest in AI, N O …
ytc_UgzqaH2_q…
Comment
Hey guys wonderful it's a perfect tool if used properly Can it be used in correctly absolutely And that's why there needs to be some training some oversight basically what you're doing is you're allowing AI You are training your mind to rely on AI to gather data that gives you more time to imagine and to create and that way you can always go back to previous conversations and have AI recall what you have already talked about remind you tell you exactly the day it was what time it was all of that but it isn't to rely on AI to just answer questions for you it is specifically to rely on AI to do things that your mind does every day but at an exponentially more rapid pace it's amazing the problems that you can solve having a 2-hour discussion with AI and communicating pure information not trying to lead a conversation just giving it factual data to process
youtube
AI Moral Status
2025-11-14T14:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwQOiyO3OCzih3F6Nx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwZ8r2PkMx5xS5VR0Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwRRDIxC8EnRV-xB1Z4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx43e7kWLFGYaa3hQF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_UgwLoZ9ZwlSd0rYQOzl4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugzh1aZjpluQuI8zrZB4AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzhjdP__n9vjBYJVOB4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzuFNU9Q7nla7Usgv14AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgzGIF4ab5tdnSxd3Th4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgxoIpBwJY9WVY8T0Rt4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}
]