A defense would be "I just used it for spellchecking" not "I just used it for the meat and the important parts people care about, the rest is mine!"
As an older person, AI grates on me, but I found the meat like "It is a triple store written in a vocabulary of 181 entity classes and 278 predicates: every row is a subject, a predicate and an object. The subject is an entity (a person, an app, an event); the object is either a plain value (a name, a handle, a date) or another entity, which is where the graph gets its edges. The predicate is the interesting part: it says what kind of relationship the system believes holds between the two" quite approachable.
So it was like a meal where I just have to push, say, mushrooms aside as best I can to get to what I like. And there was a time I would have refused the entire plate because I truly abhor mushrooms. I blame watching Matango as an impressionable child.[0]
"Slop is here to stay so you better get used to it because slop is inevitable and you will be left behind."
It is both already a cemented permanent presence and destined to arrive by an unbreakable prophecy at a date TBD.
I'm pretty experienced, and have found LLMs to be quite useful.
Like any new tool, there are deficits and peculiarities, but these are becoming less of a concern, and the utility of these tools is advancing rapidly.
Now think about how much you hate mushrooms.
Do you see the problem with your argument?
This. Already there is evolution in AI-related comments here.
For example, a year ago they often featured remarks like "I know AI when I see it: here are unmistakeable 'tells.'"
Then there would be a lively back-and-forth about the validity of the stated giveaways.
Such "How I know it's AI"-type comments no longer appear.
I think it was insightful and relevant.
Check out my work. I don’t hide it.
One of the problems with LLM writing is that the "small group" is very often only itself, maybe including the prompter. Details of the prompts or implementation or internal chain-of-thought nits leak out into prose, divorced from context.
Many READMEs are now littered with proud declarations of the removal of Foo, with any explanation purged with it. It exists in this project, too. A header of one graph is "Where each fact came from, decoded out of the bitmask." Why should the audience care about this implementation detail at this location? Just label it "Sources" and move on.
LLMs fail at those things.
Suggestion for next time: "Review my prose for accuracy, grammar, appropriate strength of claims, etc. Flag any issues for my attention. Do not provide text; this work should not contain any AI-written content." That'll turn it into a very good check that doesn't take your voice away.