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It's fairly clear to me that trained models are a transformative rather than derivative works. However, without distributing forms which are not transformed, op
by anewhnaccount2 3y ago
It's fairly clear to me that trained models are a transformative rather than derivative works. However, without distributing forms which are not transformed, open/distributed/permissionless work in this space is either severely hampered, or basically impossible. I think a lot of people instinctively feel that removing barriers to their work is particularly important, since if we don't it could remain impossible for anyone outside a few megacorps -- who have the resource to obtain whatever they need in multiple ways without the additional liability of distributing non-transformed copies externally -- to build highly scaled up machine learning models.
- srhtftw 3y agoI largely agree. I would also like to see more research into how to give authors incentives to license their works for transformative purposes such as training and ways to credit them when the results of inference draw disproportionately on a particular author's work.