Raw LLM Responses

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yalll do realize that... it's all in the training data... right.. like. Humans use lethal doses of Tylenol to commit suicide. and many times they use exact dose numbers in their messages. and the AI training data is not single input outputs for these larger models, they use multiple input output strings of full conversations that contain all of this already in there... People do in fact tell others "my family member lived till x" and yes, lower numbers almost always lead to Sad and afraid language. you wanna know what afraid language is in this case. the words "oh my god! that's terrible!" IT'S ALL, ALREADY PRE-BAKED INTO THE MODEL! THESE PEOPLE DIDN'T DISCOVER ANYTHING THAT WASN'T ALREADY WELL KNOWN! Changing the vectors literally is changing the input. It's not a full forward process, it's a vector that goes all the way back to a beginning. If I type "I love you" but change the vector, that directly changes the words from "I love you" to something else entirely. These people are truly incompetent and seem to have no idea what it even is they are looking at. I we say that the vector from "I love you" is 0, 1. and "I hate you" is 1, 0. If I change the vector from 0, 1 to something closer to 1, 0. OF COURSE IT CHANGES THE GOD DAMN RESPONSE! Literally, take a look here, THIS IS WHAT THEY DID! https://imgur.com/a/1VHVU38
youtube AI Moral Status 2026-04-08T21:2…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyliability
Emotionmixed
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
[ {"id":"ytr_UgwN5YTnP2CKzQ5nRQd4AaABAg.A057ehlNMfJA05F-9Lmu7g","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_UgxpiKrxxjS-Ro9X6Ox4AaABAg.A056aCpFSyHA05o4_j_1qG","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytr_UgyFgAYADC-bbTPtXfx4AaABAg.AJdIn90IoHxAKVP9JFhfYm","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytr_UgycmlM2uxZAToCONQV4AaABAg.AVKHxlYH06UAVMAthRfx2X","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytr_UgycmlM2uxZAToCONQV4AaABAg.AVKHxlYH06UAVMC7iiq8BQ","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}, {"id":"ytr_UgycmlM2uxZAToCONQV4AaABAg.AVKHxlYH06UAVOnJn1wZ9n","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugxf0GeRz0k1wQI5b614AaABAg.AVPQ09OIDylAVPR5thjKAS","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"mixed"}, {"id":"ytr_Ugw6601iNiqBqdnR62J4AaABAg.AVP6ERYdwNJAVP7UeKS6al","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"}, {"id":"ytr_Ugw6601iNiqBqdnR62J4AaABAg.AVP6ERYdwNJAVP8gT4KWdL","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"}, {"id":"ytr_UgzaBPHLW_2nZn9yC7Z4AaABAg.AVLyGAs4GVxAVN7NjY548D","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"} ]