>Perhaps between model version releases, frontier labs can harvest the web and ask "What Claudisms do people mention negatively?" but I don't think they do that yet.
That won't happen. People can't phrase their objections in a succinct-enough way. When they do, the objection is superficial ("too many em dashes") and doesn't strike at the core of what makes LLM output bad.
Don't talk about other people in such a way. If we had a way in Claude to mark a word/token and downvote/reduce it logits then it wouldn't be to hard to send loadbearing to token valhalla.
In the future, I hope we get a way to randomize the language idiosyncrasies and/or personalities better.
The inevitable conclusion of retraining on the (now AI generated) web is that models begin to use the lower bits of fidelity in output text to pass messages to their future selves.
I didn't mean it as a criticism, just a statement of fact. I can't do it either. It's difficult to say what about a writing style is bad beyond vague descriptions.