Raw LLM Responses
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G
We have no idea.
We built an entire world in the ether. When the first AI was c…
ytc_UgwDS2x3R…
G
I can't believe this Stonetoss was once actually decent but THAT comic??? Seriou…
ytc_Ugw38janh…
G
@activision4170True artificial intelligence is too intelligent for us to predic…
ytr_Ugx3GliAx…
G
you probably could make an AI jigsaw already. Hook one of those character ai mod…
ytc_UgxDnp-z-…
G
I've been a Plumber and Heating Pro for Many years -I now use AI to discuss Bern…
ytc_UgyP7geYY…
G
No one, not even Dario, understands how the weights in LLMs translate to outputs…
ytc_UgxhJKTEn…
G
well it does it's job since they're teaching them how to run a food truck nothi…
ytc_UgwC9RJjD…
G
Can't wait. People complaining about this are missing all the NEW opportunities …
ytc_UgwsXY1Ry…
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"}
]