That's why all the hype about DL is so irritating. Yes, it allowed us to make enormous progress in certain fields. No, it's nowhere near usable in others. So why pretend it is?

Just one example from the preface to Chollet's "Deep Learning with Python":

> If you’ve picked up this book, you’re probably aware of the extraordinary progress that deep learning has represented for the field of artificial intelligence in the recent past. In a mere five years, we’ve gone from near-unusable image recognition and speech transcription, to superhuman performance on these tasks.

Come on, speech to text is still far from usable unless in a very limited scenarios. Why pretend it's different?

in most languages google ASR works shockingly well.

Dutch isn't yet a language that the new machine learning models are used for because there isn't enough dutch training data, nor enough people who speak dutch to make the engineering and compute investment worthwhile.

Just wait - it'll come in a few years though.