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Just because fast.ai has some investment in Swift does not mean that S4TF has attracted mind share. The bulk of fast.ai is still taught on Pytorch.


The parent comment literally said data science practitioners don't care about speed or safety because the GPU is where all the real work happens; that's false, I've provided an example of it being false from a respected party. What do you want me to say?

eh, I give up. Believe whatever you want to believe.


I'm not saying that no data science practitioners care about speed and safety, and its easy for me to come up with cases where they should/do care.

My point is that even fast.ai still views S4TF as somewhat niche, and that data science practitioners as a whole still don't care.


I am a practitioner, I care, but everyone on this thread seems to be distracted by the red herring of speed and efficiency.

None of these languages are going to be speedier in the GPU. But python has serious design problems that manifest itself when developing a large project.

You can only go so far with dynamic typing




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