Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G The fact of the matter is is AI is going to replace all jobs. and everyone not r… ytc_Ugxw1DenE… G Any chance we can work quickly on a major international ban on militarization of… rdc_dww35rh G Hey there @PrettyBoyTrena! Thanks for sharing your thoughts on the video. We mig… ytr_Ugw0-aBdE… G consciousness is primary. machines can't become conscious so I think the correct… ytc_UgykAYp7D… G Racist AI is awesome and you want to program the AI to be biased against whites.… ytc_UgxgclGx8… G As there are no increase of demand for blue collar worker, the rich wants cheape… ytc_UgwClfMbE… G In the near future, a very small number of humans will tell computers what to do… ytc_UgySEoURo… G @ducksdog6601 100% I mean most AI art looks very fake, and messes up hands. But … ytr_Ugzg3fBVL…

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"}
]

Raw LLM Responses