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basically all purposes will be implemented in a general purpose language over time.

if you are hiring and training people to work on elixir/erlang systems you can have them work on this as well.

performance? that's a guess of course.




What I mean is that given the rapid pace of development of deep learning, it seems hard to imagine a programming language preference will overrule the desire to have access to the latest implementation of new algorithms, or implementations that are battle hardened by wide deployments. Perhaps there's some niche this could open up though that would incentivize people to try to keep up.




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