To me, deepL was really amazing back in 2020 and earlier. But ever since big AI releases like ChatGPT, I can't help and feel they're kinda stagnant.

Their model still has the same incorrect repetition issues it's had for years, and their lack of any kind of transparency behind the scenes really makes it feel like it still _is_ the exact same model they've served for years.

Quickly checking their twitter does not seem to reveal many improvements either.

Of course I get that model training can be rather expensive, but I'd really have thought that in the field of AI translations things would be evolving more, especially for a big-ish player like deepL.

If anyone has insights on what they've been up to I'd be really interested to know.