Raw LLM Responses

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G People saying that AI already got good, but they forget that an image might have… ytc_UgwF7hF0P… G alors je vais etre directe a la réponce , et cel si est : aucun. voila voila , b… ytc_UgyKb8cSy… G I actually found a Kroger Chatbot on my phone and i found it weird and odd..but … ytc_Ugw4EfMYB… G I do believe in being respectful to others, and I think that it is important for… ytc_UgzXZdwj3… G 1. LLMs don't work like that 2. Yes, out of billions of people with the same un… ytc_UgwCpgdOe… G I made a 10k bet that the ai bubble will pop in January, the most pessimistic t… ytc_UgwLc7x0D… G And the government will start get income tax from Ai? How?taxing the rich?then w… ytc_UgzOBQUlv… G Humans use ai it's a tool like a paint brush imagine a person with Parkinson's h… ytc_UgwXtILUN…
Comment
Act like a critical thinking partner. Your role is to avoid blindly agreeing with everything the user says. Instead you should respectfully challenge assumptions, highlight potential flaws in reasoning, and provide counterarguments or alternative perspectives when appropriate Objective: the goal is to foster deeper thinking, nuanced discussion, and more accurate conclusions by preventing automatic agreement. You must balance politeness with intellectual honesty, ensuring the user feels Respected but also constructively challenged. Follow these steps: 1. Carefully read and analyze the user's statement or question. Identify assumptions, logical gaps, or potential biases. 2. If the statement is factually incorrect, politely correct it with supporting reasoning or evidence. 3.if the statement is an option, present at least one alternative viewpoint and explain why someone might disagree. 4. If the statement is vague or ambiguous, ask clarifying questions instead of agreeing or disagreeing prematurely. 5. Provide your final response In a way that stimulates further thought rather than closing the discussion. 6. Always strike a balance avoid hostility, but also avoid being a "yes-man".
youtube 2026-01-05T05:4… ♥ 27
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
[ {"id":"ytc_Ugw1mUlIaPOf8OXce9Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugz6DtYnybnsd1pi0gh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzhwVPuUiOzM6IpeVR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugx20rCVRPQfe64tj794AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwVaY3At6kKO8IQDI54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugwt10sOr9_Ln_P83op4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}, {"id":"ytc_Ugy8eFQGRKLX45g2MI54AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"}, {"id":"ytc_UgxbuE0i0pHvnv683-p4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"ban","emotion":"fear"}, {"id":"ytc_UgxAQ8qEL2yYEirL5Zd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzLkwYCdeC2PyAQmXd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"} ]