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G im not joking. I asked chatgpt to help me with some modding of a video game. I a… ytc_UgyL3d-UZ… G I was able to copy the poisoned artwork just by using two of her images and the … ytr_Ugz0IolsT… G sam altman: omg ai is so dangerous!!! please put in regulations to enforce my mo… ytc_UgzETJ8Xm… G The cost of healthcare, education and electricity, work ethic are major factors … ytc_UgwbpZfml… G ​@ctrl_altesc Were you hiding under a rock when the Ghibli debacle went down? Th… ytr_UgxgSeOJr… G The masses are not prepared for AI and automation. Just take them out and shoot … ytc_Ugzhv7dHJ… G If the whole world doesn't agree to limit AI or end it together, we'll all still… ytc_UgwWfuSjb… G she winks 😉 is this really AI or woman talking and the robots lips move to voice… ytc_Ugj3-s1sG…
Comment
The biggest hurdle is the demand side. If most companies automate ,even 75%, they risk shrinking their own customer base. Mass job cuts mean less disposable income and weaker sales. Where do buyers come from? UBI gets floated as a fix, but at politically realistic levels it probably won’t sustain middle-class consumption. Meanwhile, the tax base erodes (less payroll/income tax), pushing governments to chase revenue from “robot labor.” But what even counts as a taxable AI worker, a model, a workflow, a robot arm? That definitional mess becomes a policy quagmire. Bottom line: the economics, public finances, and regulatory definitions are deeply entangled, hurdles many rosy automation forecasts underplay.
youtube 2025-11-05T20:3…
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyregulate
Emotionfear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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