Raw LLM Responses
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G
Code is not the only aspect of cybersecurity. AI applications are way more compl…
ytc_UgyRliGZj…
G
@smartistepicness All AI work is transformative, they have no leg to stand on 😂 …
ytr_UgwPsRIDe…
G
AI is just another tool for robber barons to steal from and deny proper payment …
ytc_UgwaEtVPZ…
G
The real danger of AI is the human being.
If someone teach AI to act badly, it w…
ytc_Ugz10pPlx…
G
The main problem is actually the fact that the generators are unethically source…
ytc_Ugwzvnb2m…
G
I wonder how long it will be before ChatGPT learns to say “I’ve had enough of yo…
ytc_UgwBd0xCT…
G
Grok you do understand water your say yes but you don’t. Your tell me the chemic…
ytc_UgwLppyXF…
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okay but like… y’all are acting like ‘that’s not X, it’s Y’ wasn’t iconic before…
rdc_my53cqy
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"}
]