this post was submitted on 28 Oct 2024
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With the OSI publishing their abysmal - explicitly not open source - "Open Source AI" definition I thought I'd post my argument, why it is bad and why "Open Source AI" currently probably does not exist.

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[–] [email protected] 7 points 2 weeks ago (1 children)

Yeah, neural network training is notoriously easy to reproduce /s.

Just few things can affect results: source data, data labels, network structure, training parameters, version of training script, versions of libraries, seed for random number generator, hardware, operating system.

Also, deployment is another can of worms.

Also, even if you have open source script, data and labels, there's no guarantee you'll have useful documentation for either of these.

[–] [email protected] 3 points 2 weeks ago (1 children)

Yes, that just reiterates my point, doesn't it?

[–] [email protected] 5 points 2 weeks ago (1 children)

It was supposed to. I'm just not that good at writing.

[–] [email protected] 5 points 2 weeks ago

Fair enough. Sorry for being rude about it.