Raw LLM Responses
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G
Except the farmers used to need people to pick up the results of their farming a…
ytc_UgwVpLFzP…
G
Today i asked Google when Anakin Skywalker got a red lightsaber (long story)
Ai …
ytc_UgyGyatC8…
G
AGI will never happen, no in the next 20 years. Just a blip and fade. you shoul…
ytc_Ugza3qArj…
G
This goes beyond art, too. I consider myself a bit of an intellectual in the sen…
ytc_UgxzHuiyY…
G
Logic, numbers and elementary math in general have never been lawyers' forte. Fo…
ytc_UgzTCqveF…
G
I am in NZ and the local city has only one bank. And the post office is a two p…
ytc_Ugx-om2Z_…
G
Bro calm down. We’ve had biometric recognition in Europe for years and cameras a…
ytc_Ugw_oE23p…
G
Nahhh cause I'm a mix. So I use to be the innocent after breaking a yandere ai a…
ytc_UgzyGfc5h…
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"}
]