It's rather hard to open source the model when you trained it off a bunch of copyrighted content that you didn't have permission to use.
I feel like one of thr problem is LLMs hijacked the definition of AI. Like another comment said, the way they trained on copyrighted material, it's probably not possible. But imagine there was another model (not necessarily LLM) and it was trained with completely public domain material. For example maybe something trained to find genetic diseases from genetic samples of a person, or detecting asteroids from telescope images. Those could become open source. Now, I am not an expert, but do we consider those AI?
I mean you could a still do generative AI on voices of actors in really old movies that are in the public domain
Exactly what I wanted to say. Anything on public domain; movies, books, pictures and paintings should be fair game. Including any databases that allows the uses of it in the given context.
The architecture can easily be open source - as long as repo is missing just the training data. Just like there are Doom engines that are open source, even though they do not provide WAD files, which are still copyrighted. The code is there, but it is somewhat useless without the data. Analogy is not perfect, but let's assume it compiles to a single binary containing everything, maps included.
If ID Software gives you a compiled Doom with maps free to use it is freeware. If they open source the engine (they actually did), but do not release the WAD files as open source, the compiled game is not open source - it is still freeware.
It is not complicated really.
