They are, and I am. While I don't use the words "LLM slop", I do have the urge to instantly stop reading any piece of writing that was obviously default Claude output with no effort to make it sound even remotely human written.
I'd rather read natural sounding, non-repetitive, and actually useful LLM text than the majority of reddit comments (including the serious ones) for instance.
I'm asking to scan projects on gitlab, go through some docs to find more grounding material, write a subarticle (in the same style), scan logs on the test env, issue some curls, etc.; until the whole article is digestible - in the "backing knowledge graph" department.
> Putting in at least as much effort writing as your audience will reading
This is the big one.
> Ideally not sharing generated content if you can't do the above. If you must, then explicitly disclaiming your use of AI
This is the reason why people get mad about AI generated open-source PRs and repositories. Rather than contributing thoughtfully to the commons, you make it a dumping ground when you do this.
I may complain that I don't like the way a sleezy con man talks, and I may be able to detect his communication patterns, but that doesn't mean I want the con man to speak in a different way I can't detect as sleezy. I don't want to talk to the con man.
Obfuscating LLM output to trick the reader into thinking it wasn't LLM output is not respectful.
Disclaimer, I only use it to grow the "knowledge hub".
It's a single git project at my $USER home, that is referenced in global memory. It contains as much information about work things, as possible, to be productive.
I found that, if I allowed Claude to create the notes, it actually became more and more useful, but without the guideline, I just could barely get through reading it manually.
I think you are forgetting about the decency and dignity part of "respect".
Yes there's a quality component to the role of communication in how it respects other people.
There's also honesty, transparency, truth and vectors along the dimensions of "Are we claiming and presenting the truth or are we bending facts and creating impersonations and warping reality?" Most AI is used for the latter today: people are having AI's write their words and speech for them and then the AI says things as though it were the human like "I said xyz" when the AI is NOT the human who did those things. That's lying and deception and disrespect to the reader.
I'd rather read natural sounding, non-repetitive, and actually useful LLM text than the majority of reddit comments (including the serious ones) for instance.