Raw LLM Responses

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G This is exactly the problem, well said and good analogy. I personally love AI's … ytr_UgxVticcP… G I love your tutorial. CHATGPT is going to be great. I was wondering if I could u… ytc_UgzSYTu06… G Well did they check the test group’s ability BEFORE the LLM test? When you have … ytc_UgxFPJ-D4… G When people say ai art is more accessible it's because they only recognise art t… ytc_UgwoTOoBP… G The problem with the ai stans mindset is that while AI art "can" be good, the en… ytc_UgztDYDha… G A very good interview, and I enjoyed it. But I find it weirdly disconcerting tha… ytc_UgzinnFWS… G Yes this is why it’s not a good feeling when I think of the AGE of the people bu… ytc_UgyHb6lTD… G 2:30 my favorite fun fact of history of the word robot; & in russian, robota me… ytc_UgzG8Bnia…
Comment
You understand they don't just put direct reddit comments in the training data anymore? There's sophisticated systems in place to create quality training data from real world data. All data is filtered, processed, and reformatted before being used. This is why the AI training on AI generated data argument doesn't make sense, that and several papers confirming that synthetic data can produce good results for LLMs trained to solve logic problems.
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Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_l9w4s4h","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"outrage"}, {"id":"rdc_l9wqffl","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"rdc_l9y76g5","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"fear"}, {"id":"rdc_l9x7ydi","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"indifference"}, {"id":"rdc_l9vm3g0","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"} ]