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Can AI even be open source? It's complicated
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this post was submitted on 07 Aug 2024
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Quite aggressive there friend. No need for that.
You have a point that intensive and costly training process plays a factor in the usefulness of a truly open source gigantic model. I'll assume here that you're referring to the likes of
Llama3.1's heavy variant or a similarly large LLM. Note that I wasn't referring to gigantic LLMs specifically when referring to "models". It is a very broad category.However, that doesn't change the definition of open source.
If I have an SDK to interact with a binary and "use it as [I] please" does that mean the binary is then open source because I can interact with it and integrate it into other systems and publish those if I wish? :)
@sunstoned Please don't assume anything, it's not healthy.
To answer your question - it depends on the license of that binary. You can't just automatically consider something open-source. Look at the license. Meta, Microsoft and Google routinely misrepresents their licenses, calling them "open-source" even when they aren't.
But the main point is that you can put closed source license on a model trained from open-source data. Unfortunately. You are barking under the wrong tree.
Explicitly stating assumptions is necessary for good communication. That's why we do it in research. :)
It doesn't, actually. A binary alone, by definition, is not open source as the binary is the product of the source, much like a model is the product of training and refinement processes.
On this we agree :) which is why saying a model is open source or slapping a license on it doesn't make it open source.