Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Henry Ford employed assembly line workers AND paid them enough to be able to buy…
ytc_Ugyc06xfa…
G
If Ai is smart enough to understand itself. Would it not also be smart enough to…
ytc_Ugx7_KNMd…
G
more features in a smaller time frame means an increase of the change that thing…
ytc_UgzzCW6Hc…
G
When people talk about the future of superintelligence, it’s usually framed as p…
ytc_Ugz6ZGJI8…
G
Ai generated animated speaking avatars to imitate powerful human politicians and…
ytc_UgxzGbcJq…
G
@infogatherer-e4o no. We hate on AI because it steals art. If it was trained et…
ytr_UgwV-2kd8…
G
how did you become a spokes person for 'most people'? congratulations on your a…
ytr_UgzHPCbVN…
G
@JenniferBeeston Am I experience debate about bias, and AI really consider whet…
ytr_Ugx5TCota…
Comment
You are correct it could. But that does not mean they will suffer. For example manual labor building etc may be enhanced but unlikely to be taken over by AI. The key is to look at the types of jobs affected and make a plan for these workers. Take auto manufacturing. AI can replace many workers. But at the same time US needs to rebuild its war machine to defend against China. There are cross training opportunities. What about Solar, sustainable and many more. It’s time government listened to Bernie. The key is not to block AI but to find and cross train new roles.
youtube
AI Jobs
2025-11-02T12:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgxHos7_-HuzzkmF64F4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzvqOGR_bZalb4q6Jl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzUODsO5bAukp2rYYp4AaABAg","responsibility":"government","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgyuZ0bTc2MiByBjJhJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzT9MNSSNZQL3OiV8x4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugw_lTjyXWdt4b4R3k94AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzlvMkUnHJ2Nhv7ApN4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxIUiEzwK6nDBAoW5Z4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugz7nOyzR40gKYu2cEl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz7mkFtY4z9duBk6_h4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]