Raw LLM Responses

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Comment
Some questions, and I’m honestly curious: What kinds of properties would an agi have? How would it behave and react? Are you familiar with how a LLM works? Like the nitty gritty details like the details of how tokens encode into vectors and so on? Did you suspect agi was going to be based on LLMs or a slight alteration of it?
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Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_n7sgvfj","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_n7t0x2o","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_n7ttv31","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"rdc_n7ty6dt","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"rdc_n7tz9od","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"})