Raw LLM Responses

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I'm kinda embarrassed for both of them for not understanding that in the twice-used horse/car in the early 1900s example, which I think is a very apt analogy, people are the horse. Horses went from having lots of jobs to almost having no jobs in the span of a decade or two. And no amount of retraining or job creation could support the now unemployed horses, because technology simply made horses obsolete in all but a few cases. We are rapidly approaching a time when focused AI (not AGI) and robotics (includes self-driving vehicles) will make a large portion of the workforce unemployable just like that 1920s horse, and there is no retraining nor new job that's gonna solve that because there will always be 30-ish percent of the population for which a machine will do that new job better/cheaper. And I feel like I'm being wildly optimistic with 30%.
youtube AI Moral Status 2025-08-15T01:5…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyunclear
Emotionfear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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