Raw LLM Responses

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G The more that AI takes over life, the more I truly believe that the world at lar… ytc_Ugxzgk15Q… G Ai “art” is an insult to real artists because there’s no actual effort unlike ho… ytc_UgzAmAHfx… G Everytime the US says the "world" they mean their "World" from coast to coast 🤣 … ytc_Ugy16Y4Ax… G We've know about this problem before you created AI! You can't fix the problem u… ytc_UgwSjdf7H… G Last few films i seen were good and ok but ending was terrible. With AI we can a… ytc_UgxCSkryS… G yoooo thx. the ai storylines continue to evoke and plots thicken by the day. u… ytc_UgweGVnvU… G I dont think AI will collapse anything. There're gonna be some changes. AI need … ytc_UgyW3vbQw… G Kurzgesagt – In a Nutshell .. you guys will use AI at some points, because its … ytc_UgxLM4HPO…
Comment
A New Tax Model for the Age of AI: HEW "Human Equivalent Work": As AI agents increasingly replace human labor, our social systems—built on the assumption of human employment—face growing deficits in tax revenue, social security contributions, and health care funding. To address this, we propose a forward-thinking model: AI systems should be taxed based on the amount of human-equivalent work (HEW) they perform. Each AI agent would be assessed according to how many full-time human workers would be required to accomplish the same tasks. For every HEW unit, the deploying company would be responsible for paying into the social systems: social security, health insurance, and perhaps a universal AI pension plan, just as they would for a human employee. A standardized set of HEW equations would be developed across industry sectors to ensure fair and transparent calculation. This framework not only restores balance to public funding but also creates regulatory clarity, encourages responsible deployment of AI, and preserves the social contract in an increasingly automated world. In essence, if an AI does the work of a human, it should contribute like a human.
youtube 2026-02-07T15:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyregulate
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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