Consider the OpenAI case of "goblins". The models overfit to a specific type of output. Goblins was a specific case of this type and needed to be corrected.
I'm not saying all of LLMs writing quirks are naturally derived just this one. It's a bit like it's overuse of em-dashes, they're not common in general writing which is why it stood out, but they do show up a fair bit in other types like scientific writing. My wife, who's a chemistry PhD, has bemoaned the association to me that she liked using them in her writing for papers and now it looks like she's using an LLM.
If it was used as sparingly, appropriately, and skillfully in AI writing as in human writing then AI writing wouldn't stand out as so mediocre and cringe.
If something becomes a strong negative symbol, it's intelligent to recognize that because failing to do so can harm your goal, e.g. communication.
As an extreme example of this, no one calls it a "Charlie Chaplain moustache" and if you wear one people will avoid you, no matter how much you insist it's just because you like Charlie.
The specific problem isn't "it's not X, it's Y", it's using that pattern where X and Y are not correctly related categorical items.
Yes, I know how I structured that sentence.
"It's not a frying pan, it's a revolution" sounds like AI. "It's not an octopus, it's some type of crustacean" does not. The thing that makes it an AI tell is specifically FALSE analogy.
> This group came together after OpenAI approached some of its members about establishing an external advisory board. In agreement with OpenAI, they decided to create an independent group and invite others to join.
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