Raw LLM Responses

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That's way overstating your argument. Ai is pretty good at infilling spaces between known cases. eg. if you have case "1" and case "3", then AI can infill case "2" between them, which might never have been done by a human before, so is new content. It can extrapolate new cases in a series too, so given  situations we might summarise as 1, 2, and 3 it could give you 4. It probably won't (yet) give you completely new, non-derivative material, but it's still in its infancy, so who knows what's imminent. And how much human content is derivative anyway. Many people aren't so different !
reddit Viral AI Reaction 1776586402.0 ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_oh4gez6","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},{"id":"rdc_oh1hffs","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_oh1j62d","responsibility":"distributed","reasoning":"deontological","policy":"unclear","emotion":"mixed"},{"id":"rdc_oh673ob","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"disapproval"},{"id":"rdc_oh85ak1","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}]