Raw LLM Responses

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G Who gets to have access to the super AI brain? Who gets to have access to the co… ytc_UgwAvyXFG… G we could say it’s AI because the hands are off and this and that but there’ll co… ytc_Ugxbb0wvU… G It is the kind of manipulations thousands of photographers do everyday in Photos… ytc_Ugz0ymElj… G It's the latter,sadly ai apps do charge or sit behind a paywall and to find that… ytc_UgyJ3o5Pn… G yeah, we already have large scale infrastructure go down yearly locally around t… ytc_Ugzssyt1Z… G What is with our passion for autonomous killing, and living forever! Ying and Ya… ytc_Ugw6G6yKH… G I recently found a new song that I liked, only to find out days later that the v… ytc_Ugw206DxO… G This world and its existence shall be the only priority no world no ai no humans… ytc_UgyNYTxXz…
Comment
an LLM doesn't scare me, it's just predictive text, an LLM works by breaking text into tiny pieces called tokens (words or word parts) and converting them into numbers. These numbers go through a huge neural network trained on patterns in language. The model then predicts the most likely next token based on the context, over and over, until it forms a full response. It’s basically advanced predictive text on a massive scale. What I'd like to know is the system prompt you used in each of those LLM's that's what makes the difference, for example I can take one of the many LLM's I have running here at my home and change the system prompt and take a friendly helpful LLM and turn it into an emotional (emulated) LLM. With the right system prompt you can make your LLM seem like a school girl with a crush, or one with a pessimistic attitude towards humans etc. No magic here, just prompt engineering.
youtube AI Moral Status 2025-08-13T20:4… ♥ 23
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[{"id":"ytc_UgzLT029cQa0FwbspLV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytc_Ugz1jCHJu8pxy9PWZUR4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"fear"}, {"id":"ytc_UgzK5oJEJGWgJ5tWTvV4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwH2N-xqe8nDsQa9JN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyqBgkXlbVHlxOGqnh4AaABAg","responsibility":"developer","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytc_UgxqgbJhdeR_67yvEtl4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"fear"}, {"id":"ytc_UgzxFC8e0J-CE6Wa9sB4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"outrage"}, {"id":"ytc_UgyoQhc58uCrknTiD4N4AaABAg","responsibility":"developer","reasoning":"unclear","policy":"unclear","emotion":"mixed"}, {"id":"ytc_UgwJ8pJ0zQftqhhwUCR4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgxJHgImq9Wi9cXhRM94AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"}]