Raw LLM Responses

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Comment
NVDA H100s are between 30-40K EACH. Google has 26,000 H100 GPUs, and they created AlphaGo, AlphaFold, Gemini, VEO3, AlphaQubit, GNoME - its unbelievable. Meta has 600,000 Nvidia H100s and I have no fucking clue what they're doing with that much compute.
reddit AI Responsibility 1755579448.0 ♥ 394
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionoutrage
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_n9i9jhi","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_n9j0wvd","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_n9j8npc","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"rdc_n9h32ne","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"rdc_n9h847y","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"} ]