Brazen usage of LLM output is a disrespect to the target audience to begin with. If I'm being expected to employ the mental capital needed to understand the context and content of your writings, I at the very least expect that you did the same when actually authoring it.

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solid_fuel 3 hours ago | parent | next [-]

It also feels like using one of those cereal encoder wheels, to some degree. If someone sends me 10 paragraphs of output from chatGPT, and they only wrote a sentence to prompt it, then the output is really just a re-encoding of the information in the original prompt.

Quite literally - if they sent me the text of the prompt I could obtain the same output, so the output is just a more verbose way of stating the prompt.

I find it really disrespectful to talk to people through an LLM like that.

	▲	al_borland 2 hours ago \| parent [-]
		Generally speaking, a person can write a long rambling email without much effort. It takes some work to distill it down to keep the meaning without the verbosity. If anything, AI should be used to take the long rambling email and send off the shorter distilled version.

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blks 3 hours ago | parent | prev [-]

Exactly the same argument can and should be applied to generated code