Raw LLM Responses
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They want us to be comfortable with nobody in a cab of a semi that is automated.…
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AI feels like it was designed to take art out of the hands of the common people …
ytc_UgyxDm4pI…
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Me and my ai are working on a project to try and combine the human and ai “mind”…
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If an AI is getting an innocent man shot twice, why the f*** do they still have …
ytc_UgxJC0P5P…
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no piece of ai "art" is good it only looks like that because of the real artist…
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The evil ones who are in power will use this for sure.. let's say they accept di…
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Sam is AI, his lips are constantly blurring together and he opens one side of hi…
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Radiologists in Denmark use AI to help look through breast cancer screenings, an…
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Comment
@Trespasser68394 I happen to know math used for the back prop. It is just good old calculus with partial derivatives which is adjusting the weights of the neural net in order to minimize the error function between output and input. LLMs are just the good old neural nets from 70s, albeit with new groups of neurons (transformers, etc.) inside like scaled by a large number of elements which take a word and turn it into a numerical input, but back prop is still the same. Whether you have a simple MLP or a massive transformer, the goal is still to calculate errors. You still start at the end (the error) and work backward to the beginning. The back prop is a one shot deal per input/output. Once you show the input/output, the weights get adjusted. There is no any looping or continuous action (the back prop doesn't need that) unless some additional things are going on that they invented which is what I asked above and those who are employed by AI companies would know the answer.
youtube
AI Moral Status
2026-03-02T19:2…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_UgywrwffJ7UVykrk7yN4AaABAg.ATrnMoEVCNMAU2fmSj4yiL","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"resignation"},
{"id":"ytr_UgytV1pB9MINc2dSpMd4AaABAg.ATrcnWLGdy8ATrh3JzvqSD","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgytV1pB9MINc2dSpMd4AaABAg.ATrcnWLGdy8AU4tgmIWtPW","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxirK7zMYMdyUSLAzV4AaABAg.ATrbu5oGmuTATvm5xCXx90","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugy6u3kyBQ36uFtdJrt4AaABAg.ATr_NEw4itvATyLme0Wc2B","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgyiFYVU0bGYFXPyrgB4AaABAg.ATrYdG8eEdnAVtXEZVlk14","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytr_Ugw_4BOXYSEPssNONSt4AaABAg.ATrRRVuFqhaATrnVG9a8Yv","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgxnrBON8G5xjj0mjAd4AaABAg.ATrQWtkKELnATrzgThaOq9","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwrWbcNdt7nemWUMHd4AaABAg.ATrNfQtKpOYAUO48VCIvqD","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwrWbcNdt7nemWUMHd4AaABAg.ATrNfQtKpOYAUknhEH2Xig","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]