I mention it because it's immediately off-putting even though the project itself sounds fun enough. It tarnishes it with the impression that maybe you just don't care, but maybe you just aren't attuned to the style and its strong slop connotations.
I'm genuinely fascinated by the problem and I've wondered what in the training process causes the model to develop this peculiar style of writing. Is it because it's trained on old Medium slop? Someone else replied with a link to their SSH-based VPS, where the copy is absolutely saturated with the same annoying style.
I think this might just be inherent to the currently deployed LLM architecture. If the training process works at all, any model will come out of it with some (default) voice that it'll apply everywhere.
Human voices are not like that, both because one copywriter does not write a significant fraction of all texts in the world and because unlike LLMs they remember all of their own prior writing, which gives them an opportunity to get tired of their old tropes.
Read some early pre-mass-adoption LLM papers by the key scientists and researchers. The style is very similar...