Raw LLM Responses
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G
The real endgame. It will reach the point that the debate is do we need the Exec…
ytc_UgxvFhlJ6…
G
And you gave us the bs book On Biden instead of Hammering these people who ...br…
ytc_Ugwk1JncA…
G
Didn't James Cameron teach us anything about giving the power to wipe out the wo…
ytc_Ugylww7fh…
G
WARNING:
This video is AI generated and has false information please be advise…
ytc_UgztvGwWI…
G
In court, evidence has to be authenticated. For videos, that means the person wh…
rdc_o5r1s4o
G
Kharazmi, the father of Algorithms was not born in Iraq, an ozbak from Persia, T…
ytr_UgyVv4ve9…
G
I call youraislopboresme “Royal AI” because I don’t know the -person- AI that is…
ytc_Ugy3uR3YI…
G
AI is reducing the value of Professors, who could record their lectures in video…
ytc_UgyvsJ5E4…
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"}
]