Raw LLM Responses
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I use Ai in small repetive tasks such as creating DTOs and similar tasks it save…
ytc_UgwjuLfPh…
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This. There is a reason the companies behind machine learning image generators d…
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They be giving guns to robot like is a toy, lets see what happens when they get …
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With regard to hype cycle, it depends on which AI wave you are looking at.
In …
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I put it to you good sir that the second clip is in fact AI…
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This bubble will burst and it will be worse than what happened in 2008. Trillion…
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Pandoras box has been opened, and we have past the point of no return... There i…
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They are using your stuff to make something to sell. That's copyright for me. 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"}
]