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G The mistake AI programers make is that they program their robots to "know" thing… ytc_UgizxtiV1… G The palantir weren’t themselves evil, but if you look around the legendarium, th… rdc_ohvi3sg G I just shut off Gemini on my Phone. I don't want to interact with bots unless I … ytc_UgxQyWO3A… G The distinction between tools and agents is the fundamental principle. As tools … ytc_UgxQMAuuz… G the way i see it lower level ai robots are not conscious or alive as such using … ytc_Uggz5tisH… G it’s sad that it has to be pointed out that this type of technology can be also … ytc_Ugw8ZWwNT… G I asked ChatGPT the same question and got the following answer: • To reach ato… ytc_Ugw0occ1y… G I don't say stop AI but as a technical person I can say that we are (at least fo… rdc_nt8xdt9

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