While I appreciate the argument that the term "open source" is problematic in the context of AI models, I think saying the training data is the "source code" is even worse, because it broadens the definition to be almost meaningless. We never considered data to be source code and realistically for 99.9999% of users the training data is not the preferred way of modifying the model, just because the don't have millions of $ to retrain the full model, they likely don't even have the HDD space to save the training data.
Also I would say arguing that the model weights are just the "binary" is disingenuous, because nobody wants releases that only contain the training data and scripts to train and not the model weights (which would be perfectly fine for open source software if we argue that the weights are just the binaries), because they would be useless to almost everyone, because they don't have the resources to train the model.
Also I would say arguing that the model weights are just the "binary" is disingenuous, because nobody wants releases that only contain the training data and scripts to train and not the model weights (which would be perfectly fine for open source software if we argue that the weights are just the binaries), because they would be useless to almost everyone, because they don't have the resources to train the model.