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> I think all of ML being in Python is a collosal mistake that we'll pay for for years.

> The main reasons being it is slow, <snip>, and it's hard to distribute.

Don't forget that Python consumes approximately 70x more power when compared to C.



Not really applicable to ML. The massive amount of compute running on the GPU is not executing in Python, and is basically the same regardless of host language.


There's a lot of non-GPU hardware surrounding every kind of data center. If this is coded in Python, it is using 70x more energy than C.


Not in any meaningful way, no.




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