I think the DMCA being a massive overreach is a separate issue from whether weights should be eligible for copyright. This is a complicated legal area and I'm v

I think the DMCA being a massive overreach is a separate issue from whether weights should be eligible for copyright. This is a complicated legal area and I'm very much not a lawyer so let me just stick to some examples that guide my thinking: - Grammarly. Clear value prop, if weights can't be adequately protected then that's a significant headwind against doing processing on the client. - Adobe Firefly. Could run locally, they understand the technical challenges well, same headwind. - GitHub Copilot. Same. Copyright protection is probably not a single deciding issue in their product strategy but all of those are use cases that would for most users be better run locally as hardware can support that and are not going to because it's too much of a risk. Better to limit distribution and protect as trade secret. The most powerful force for openness I see has nothing to do with copyright eligibility and everything to do with companies wanting to showcase their research arms to build brand and support recruiting. That leads me to believe it's probably better for models to be eligible for copyright and considered derivatives of all of the constituent training data. In some ways the better parallel is sampling in the music industry. It'll be interesting to see how this plays out.