Raw LLM Responses

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G We are on the verge of 4th industrial revolution where humans are not required. … ytc_UgzJXCoFC… G This AI issue is the cost of apathy in the general population and not making sci… ytc_Ugz2s3j_X… G There is something astounding happening with gemini now im wondering if anyone e… ytc_UgwapiW2W… G Trump isnt going to let them, trying to pass a law stopping states from having t… ytc_UgzbmTdON… G They killing humans and Turning them into humoids ,robots ,clones to replace th… ytc_UgzoDa_6U… G I 100% agree with everything said, most of these people using the ai I bet aren'… ytc_Ugx_wcl7C… G Imagine hacking AI with malware -- there will be no viable way to control this b… ytc_UgyZNAqaF… G @TH3R-_-GOODname Thanks for commenting! That video was epic, but I can't help bu… ytr_Ugzve-GCV…
Comment
Unfortunately, the original prompt forced ChatGPT to avoid your implied actual goal. A person would realize you actually don’t care about clapping but are just using this an example. It kept answering in a way that was meant to address your stated goal, not your implied true goal. If it had any social awareness, it would have just explained that calculus and limits solve this problem. Or even more simply that at a fixed velocity, the amount of time required to traverse each halfway point also becomes infinitely small. In simple terms these infinities “cancel” each out. Or more accurately the infinite additions of infinitely smaller amounts of time add up to a finite specific amount of time. At a velocity of 0.5 meters per second, it would take exactly 0.5 seconds for your hands to meet (assuming you move both hands at the same time like a normal person). The infinite sums of infinitely smaller increments of time total 0.5 seconds “mathematically” in “theory” and in reality. In this way it is both mathematically and practically possible to do infinite tasks in finite time, so long as the time required for each task tends to decrease to an infinitely smaller number as well.
youtube 2025-05-24T01:0…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningmixed
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytc_UgyQMtDEWw7JPDfy2Mx4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"mixed"}, {"id":"ytc_UgwPbWdk_Y8URRJVo6V4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytc_Ugz44as2fSeLoTWSCTN4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytc_Ugw73stmvm8JluPftAF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}, {"id":"ytc_UgxjkRUNs9UlorWOgUx4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgwzBq4uruRfx5lfoFh4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"}, {"id":"ytc_UgxP8qwpclajcL-EObt4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"indifference"}, {"id":"ytc_UgzbDRzZRK_amwvu7fd4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"}, {"id":"ytc_UgyPiSKS8fIKLyuALqp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"}, {"id":"ytc_UgyTeEwFz1IyuV718qJ4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"} ]