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So you don't think that the deep learning libraries/models you rely on have benefitted from open source? All the model architectures that are available, crowd sourced bug detection, user driven issue raising, modularity thanks to transparency...
Oh yeah that's all great stuff coming out of it. Don't get me wrong. What I'm saying is that the unfortunate side is that the idealism that drives open source can drive absurd and destructive outcomes, and that it needs to be viewed skeptically.
Open source leads to absurd and destructive outcomes 
I think I'd need to see case studies to be convinced. I don't think it is some panacea without tradeoffs but I feel I benefit from layers of $M software for free. We wouldn't be able to build the pretrained models we use.
More controversially I don't think deoldify would exist without the precursor open source science and software. $M of development into deep vision models & deep learning frameworks you get to use for free to build your systems.
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