Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G They want to go low lets go lower that's all they understand. They portray Black… ytc_UgxWr3nNK… G LLMs can't reason. LLMs can't learn anything new once its training is done, besi… ytc_Ugy59kpFE… G People who think AI wil magically take away every blue collar job are morons. We… ytr_UgxPlwp3f… G Art only becomes art when a viewer recognizes it as such. The argument that only… ytc_UgzuvQYOC… G All this fear mongering on AI lol. Just stop. There is a large chance there are … ytc_UgybDbwIH… G @johnyepthomi892 the notion of programming an artificial intelligence system ont… ytr_Ugw9C8Svs… G I’m curious how well this has aged. ChatGPT has gone through significant upgrade… ytc_UgwBks7Zk… G Ai is a tool. A tool is just something that someone can use to multiply or expan… ytr_UgyxE57Px…

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"}
]

Raw LLM Responses