Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
_Just train AI to drive the cars_
Tesla Autopilot does not and will not use AI.…
ytr_UgyMZI3tD…
G
The thing is when the things actually are real we're going to think that it is A…
ytc_UgwgnC3wR…
G
What if the song I created with AI as a tool was already a copyrightable song an…
ytr_UgwGC-W44…
G
we got the fucking point in the first 10 seconds. they don't even pretend to be …
ytc_Ugw3JU39T…
G
Yah. His wrong.
The fact that the Ai can provide my text, even if i have no clu…
ytc_Ugw54nEOC…
G
I wonder what evil SOB came up with this ad, probably some moron with military g…
ytc_UgzzkuS5X…
G
Sooo....why did YOU used AI on some parts of the video? And ALSO, clickbait? I m…
ytc_UgzQJS8_2…
G
No one even mentioned that our ability to actually control what AI does may as w…
ytc_UgwfAgC91…
Comment
As AI systems take over tasks previously done by people, they reduce contributions to employment-based systems like social security, health care, and pensions. To address this, AI should be taxed based on Human-Equivalent Work (HEW)—the number of full-time human workers needed to perform the same tasks.
For each HEW unit, companies would make the same contributions they would for a human employee. Standardized formulas would define HEW values across sectors to ensure consistent application.
This tax model also enables effective regulation. Filing HEW-based taxes would create transparency in AI deployment, allowing for monitoring, accountability, and policy enforcement.
In summary: If an AI technology does the work of a human, it should be taxed and regulated accordingly.
youtube
AI Harm Incident
2025-06-21T12:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwKPGSyx5DZoroxa1x4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"unclear","emotion":"confusion"},
{"id":"ytc_UgyDBJThn2hFONuH9-Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_Ugyo90phPPfahXWRoRx4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwURsTnPNeWpFO9DJZ4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxJAbcnGCRDUO5ioyV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzpNBckYU1iq-yr5B94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw21JC6_iJYCpioGzV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxzNGNxBvTtvZI2l5V4AaABAg","responsibility":"user","reasoning":"contractualist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyLhDjUPW5YLvGmCMV4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzlLQch2q1y2Te3AB94AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"}
]