Raw LLM Responses

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The first question I would ask: what does being "objective" really mean? Say- if we were to ask the AI to grade a whole student body, a school for example- on a piece of creative writing- how would the grades received by the students from the AI, correlate with the grades between different teachers. What would that tell us about the AI and the teachers? How would we make an optimal "marking" machine, while improving ourselves by using it? How do we even begin to decide what a "statistical anomaly is", when the question is no longer- concensus, but optimization. The obvious answer is trial and error, but the thing you are playing with here- education, is not unimportant. In fact, if the "error" part goes really wrong, that's a recipe for apocalypse. Terrible education and unsustainable beliefs are the most likely thing that might end our existence. That's my opinion though. I just don't want to see us fail.
youtube 2023-06-24T23:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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