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G But can you really say that ChatGDP is morally responsible for its passivity in … ytc_UgyeexFIL… G One of the main reasons AI can't replace software engineers is that English is n… ytc_UgzuMcGI7… G The only response is to reject AI entirely before we get to the Butlerian Jihad,… ytc_UgwAuySID… G It honestly would be better AI being over soon than AI won and make things even … ytc_UgxEQH0kN… G ai “art : ordering food and saying you made it digital art: using tools to mak… ytc_UgzdCe1g_… G AI is being implemented at an extremely fast pace but most AI is not at an "adva… ytc_UgxjUXb--… G Ai is lame idea. Gonna make humans stupider and lazy. Critical thinking is alrea… ytc_Ugz0sgyWR… G IMO in construction not much will change in the actual building until Boston Dyn… rdc_jhhq8od

Comment

i cant help but noticed you didnt adress what an ai model actually does, which reflects on the inspiration question, the short answer is still not, the long one, an ai under the hood is literally just guessing floating point values between 0-1, and given the prompt they try to match it as closely as possible from the data they were trained on: example: lets say an ai is being trained to generate dogs or cats, in the process of learning, by guessing it wrong a bunch of times, it generates a random vector(well matrix relly) and then compares it to the vector that is actually a dog or a cat. If it gets close to the compared vector, it adjusts their parameter not too far away from the previous set, if it gets far away from the compared vector it adjusts its parameter further from the previous set, eventually it fine tunes its parameters and notices that it usually gets a dog correct when it guesses a vector close to (0.02391, 0.12423, 0.324031), whislt a cat is closer to(0.43249, 0.56984, 0.63245), thats how they learn so by defition, the ai is trying to get as close as plausible to the real thing, its trying to copy it.

youtube Viral AI Reaction 2025-08-17T01:4… ♥ 1

Coding Result

Dimension	Value
Responsibility	none
Reasoning	mixed
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgwKQzkzQ-jPt52P5Kh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy3zFJnyDsVn8lDWdp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgytwCHzWn4PZP92ORl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"disgust"},
{"id":"ytc_UgxhyzSeA4qJwn0OtvV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzqnnRAtXsZ--gP47R4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugx9G67fsga9F_-eWoN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgyldDdv-6JOFYktykZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyYJbfduEeHn4xx4sR4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwsvYU78NWioipiS_N4AaABAg","responsibility":"user","reasoning":"contractualist","policy":"liability","emotion":"approval"},
{"id":"ytc_Ugz6sCby9hjO6--zLjF4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]

Raw LLM Responses