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G I remember someone saying that they wanted AI to make it so people had more free… ytc_UgyMRKTAn… G Disturbing jump from AI blackmailing its owners to AI dating...... Maybe put tha… ytc_Ugwxm3o-T… G Anyone out there find it strange that you're being bombarded by commercials tout… ytc_UgxM-aBgh… G This is the only way someone should respond to people trying to feed your art to… ytc_UgzK2dHdG… G @TranswealthyTrillionaire Just tell your boss it's deepfake, then file a lawsuit… ytr_UgxQt2HUB… G Look, all we need to do, if AI becomes seemingly “out of control”, is steer AI f… ytc_UgyU12hBD… G You're right about business cycles. But the push for AI is part of cost cuts. … ytr_UgxJ2WmCY… G Too bad this AI guy leaks political bias in his rationality. It makes me questio… ytc_UgwoDVBef…

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