Raw LLM Responses

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G Most "standard" ML algorithms are non-parametric, in that they do not estimate p… ytr_Ugy9ZK0SW… G I have watched a couple of your videos recently and I am enjoying them. I have u… ytc_UgypsYLpb… G If an AI is built to achieve Super Intelligence, won't it try to control Human B… ytc_UgxtIzUO8… G Even days – Canada: “Those Sikhs? Not truly Canadian.” India: “Cool, deport th… rdc_nq8xbyb G I saw a girl do that during a class, I felt a little bad for her so I started ta… ytc_Ugw83QAsK… G ELON just wants to be all with all, mars is pointless unless you have a sad ego … ytc_UgweCcz5B… G We saw with COVID how far the extent of their morals and principles goes when it… ytc_Ugy2tmmAq… G And when you replace everything with AI you become a corporation selling the sam… ytc_UgyamiA35…
Comment
Out of general curiosity, technically speaking, what limits LLMs and more broadly other types of machine learning algorithms from competently replacing software engineers? I have a tendency to believe they’re limited due to the nature of how they guess at solutions but am not certain that with adequate training data sets they could overcome most issues with minor adjustments in the future. But might there be some actual physical/mathematical limitations to their abilities that the general public is not aware of due to the marketing/hype of mass adoption of AI?
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Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_m6xsf7a","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"rdc_m6xwe80","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"curiosity"}, {"id":"rdc_m6xxalk","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_m6xq1qx","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"rdc_m6yh79f","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"} ]