It's honestly weird Claude converges on this language because it's incredibly wordy and hard to parse.
One would think semantic density would win out in training.
One would think semantic density would win out in training.
It’s also annoying as a human because Claude et al rate their own writing very highly, putting human<>LLM interactions at a disadvantage to human->LLM<>LLM interactions.
Training could not address semantic density unless it was for the very specific pattern you need for this very specific article.
I guess the people generating the article don’t really care if is correct or easy to read, as long as it gets indexed in Google and linked by prominent sites like HN it has done its job (seo).
Close out previous paragraph. Segue to completely different topic.
How else are you supposed to go on a tangent?
Both sucks in French but at least chatgpt prose is readable while Claude is awful.