Re: Proposal -- Interpretation of DFSG on Artificial Intelligence (AI) Models
Simon Josefsson <[email protected]>
| Newsgroups | gmane.linux.debian.devel.vote |
|---|---|
| Message-ID | <[email protected]> |
Russ Allbery <[email protected]> writes: > This is going to be a really long mail message and I'm sorry. I'm not > making it long to try to browbeat people; I'm making it long because I > don't know how to express how I feel in fewer words and still try to > capture the nuance and complications. Thanks for writing this! I find myself in agreement with most (if not all) of it, but what is puzzling me is how this differs from the other proposals presented earlier. Is it possible give a short summary of principles that differs in your thinking from Thorsten Glaser's proposal? I find find myself agreeing with both of you. To me I think we have at least two camps: 1) We must have DFSG-compliant licensing of source code for everything in main, and that source code should encompass everything needed for a skilled person to re-create identical (although possibly not bit-by-bit identical) artifacts. 2) It is acceptable to not have DFSG-compliant licensing for things that aren't important for Debian and still ship those, because doing so helps our users and helping users is more important than DFSG-licensing. My perception is that this is already the practical defacto situation for Debian today, given the exceptions people prefer to ignore. I further think that many DD's are okay with this situation and are frustrated when we even concern ourselves with this problem (witness the reaction from several DD's on the GPLv2-git vs OpenSSL license issue). I think your thinking and Thorsten's proposals are in the first camp, and Aigar and Sam Hartman's proposal are in the second camp. What other positions are there? Maybe there are some nuanced camps between the two above, muddling things. Of course, I may also be completely misunderstanding the positions people have here. I'm just trying to summarize for my own understanding so I appreciate clarifications. Neither position has much to do with AI models as far as I can tell. Is there any complication beyond size and infrastructure to recreate models that are a factor here? Or is this "just" a re-hash of the perpetual main vs non-free discussion? /Simon
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