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File sharing was just about dissemination but open source is about collective creation so I don't think the analogy is useful. I understand your point, that the pressure to make cheap sw lowers quality unless userbase is huge.
Collective creation is the ideal that is promoted around open source. But I think the actual usage vs contribution ratio is tilted overwhelmingly heavily towards non-contribution in practice. And what really gets emphasized and expected is the "free" part.
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.
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