The issue with LLMs is not that they write poorly but that we all use the same models and end up with the same non-unique voice. This can come over as a combination of bland, boring, and unauthentic. And it doesn't help that some LLM generated text reads like these LLMs are biased towards a style of communication which embraces a lot of hollow phrasing, disingenuous language, overly enthusiastic language, etc. No surprise, the key companies are based in California in an environment where people that work there probably communicate like that. For them this is authentic. But I'm a non native speaker in Berlin and if I send language like that to my colleagues, clients, or peers, I end up sounding like a jerk.
It's something that is of course fixable. Either with a lot of prompting and direction. Or by training on existing text that you wrote. To some extent some tools already do this. But of course if you only ever let AI generate what you say, how would you even develop your own voice?
It's something that is of course fixable. Either with a lot of prompting and direction. Or by training on existing text that you wrote. To some extent some tools already do this. But of course if you only ever let AI generate what you say, how would you even develop your own voice?
On a meta point, I did write all of this myself.