
Deeply would translate from Chinese, maintaining the idioms or minimally adapting them. LLMs take your input and generate a seemingly similar output, which technically says the same thing, but the writing style is completely different.
I write both in English and Spanish all the time, and sometimes I give a pass through a translator or LLM to touch up some emails for work, and the difference in writing is very obvious. One is a translation, the other is what your English buddy wrote after you explained to them what to write. Sometimes I do want that corpo bullshit speech that I can’t come up with natively because the email is for some corporate bastard that will appreciate that vomit, though.
Edit: sorry for the long post,but to expand on the “Deeply is not a translator,but a language model”. Most translators nowadays are language models, NLP was originally developed for translation, although it opened the door for LLMs to exist. What I wanted to say is that not all language models work the same way, and the way language models are used in translation and within LLMs is very different.
Disclaimer: English to Spanish translation is one of the best in the world due to the amount of shared text we have, and the writting style, idioms and such don’t change as much and they would for Chinese, so I understand why they would prefer to format it via an LLM. Still, maybe it was too much.



I’m necroing the post but I’m happy to tell you that I changed to qobuz a while ago and they definitely have radios now. You can pick a song and create a radio from it. Also, what I think you want I autoplay, where when the playlist finishes it keeps searching similar songs. That works in quobuz now, I listen to the weekly or daily recommendations and it just keeps playing. The recommendations are still not that good since it’s only been a month of not using it daily, but they are getting better.