Raw LLM Responses

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G ​@lovesunset1703 It sounds to me like you have personal reasons that you need wi… ytr_UgzXGDEgr… G It’d be enough for me to never go back there. Fuck em. Still go through with the… rdc_ohy3lf9 G Kids falling for DeviantArt's bait smh... You're not going to get rich selling A… ytc_UgzISHNYy… G Only humans will have rights and responsibilities, so the job of the future is m… ytc_UgzS-A-3Y… G I wonder if, as we keep shitting on AI, models will begin to self-hate preemptiv… ytc_UgxjZdvEM… G Agree ....ai 100% dangerous 😂 I thought they are humans for a while before I foc… ytc_Ugxd1fLLr… G I learned long ago that what gets an artist's work into the art history books is… ytr_UgyAFG2WM… G It's funny you mention John Henry. Of course, the story is heartbreaking. But,… ytc_UgwmsZtqs…
Comment
The irony is that the AI providers use a system of "Tokens" as they call them which are the prompt you've given it broken up into little subsegments of language that it processes as individual data packets and the words like "Please" and "Thank you" are entirely discarded by the processing stage of the inferencing algorithm. This is why companies like Open AI for instance have publicly asked people to stop using "Please" and "Thank You" because it costs them millions of dollars a month when it's just useless information that is discarded for the inferencing phase, but they still have to pay the cost of the API calls and the data centers and energy costs required to process those useless bits of information that just get overlooked and discarded by the algorithm anyways. So your advice is actually incorrect, you are correct to say that AI models have gotten better at mimicking different personalities or expertise through agentic AI modelling, but even when using an agentic AI model it's still much more efficient to not use manners or interjections and be as concise with your prompts as possible to net the best results as a response.
youtube AI Moral Status 2025-05-18T07:3… ♥ 1
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[{"id":"ytc_UgzieYAVd79dfS1T3oN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgygjXpgj9eeRpzF9k54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}, {"id":"ytc_UgybG9byOUCN0Kq0nY54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxbsJJTeG4u9LPYb4Z4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgybO7KTwWbaTe-uJvt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"}, {"id":"ytc_UgzR38lXgQTe5bGv99d4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyMvVO4dgzzWAo2T2B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgzwtPdbB2JDj9Bee2t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgyaLfn7CwrW2Ccn34B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}, {"id":"ytc_Ugxts3C5FwXiLSrgiId4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}]