Do any products exist which are not built on uncompensated work of other people in the past?

Generally speaking societies do better when knowledge is shared and not hoarded.

Hoarding knowledge via legal constructs is great at concentrating wealth to the hoarder at the expense of everyone else.

We should restore copyright to its original term lengths.

I agree with the stance of Anthropic et al that these models should be built with all possible information.

I agree with the stance of the FSF that the resulting models should be as freely usable/available as possible.

But whether you can actually be compelled to do that isn't well tested in court. Challenging that the GPL is enforcable in that way leads you down the path that you had no valid license at all, and for past GPL offenders that would have been the worse outcome. AI companies could change that

This is true when talking about the infringement of the copyrights of others. But when discussing the infringement of GPL copyleft, making a potentially infringing artifact publicly available likely satisfies the license conditions.

The evil is that this case was settled, and before being settled was decided in a way contrary to all previous copyright decisions. The courts decided that rap records had to clear every single sample, thereby basically destroying the art form, but now you can literally feed every book into a blender, piece another book together out of the pieces, and sell it.

Hip-hop when it peaked with the Bomb Squad was such a frenetic mix of so many recognizable, unrecognizable, and transformed sources that it doesn't resemble anything that was made after the decisions against Biz Markie and De La Soul. Afterwards, you just licensed one song, slightly cut it up, and rapped over it. It was just a new way to sell old shit to young people unfamiliar with it.

Now you can literally just train a machine on the same stuff, and it's legal. A machine transformation was elevated over human creativity, simply because rich people wanted it.

Ignoring the fact that the statement doesn't talk about FSF code in the training data at all, [0] are you sure about that? From the start of the last of three paragraph in the statement:

  Obviously, the right thing to do is protect computing freedom: share complete training inputs with every user of the LLM, together with the complete model, training configuration settings, and the accompanying software source code. Therefore, we urge Anthropic and other LLM developers that train models using huge datasets downloaded from the Internet to provide these LLMs to their users in freedom.

[0] In fact, it talks about the inclusion of a book published under the terms of the GNU FDL, [1] which requires distribution of modified copies of a covered work to -themselves- be covered by the GNU FDL.

[1] <https://www.gnu.org/licenses/fdl-1.3.html>

First, unless you can point to regurgitation of memorized code, you're not able to make an argument about distribution or replication. This is part of the problem that most publishers are having with prose text and LLMs. Modern LLMs don't memorize harry potter like GPT3 did. The memorization older models showed came from problems in the training data, e.g. harry potter and people writing about harry potter are extraordinarily over-represented. It's similar to how with stable diffusion you could prompt for anything in the region of "Van Gogh's Starry Night" and get it, since it was in the training data 50-100 different ways. You can't reliably do this with Opus or GPT5. If they're not redistributing the code verbatim, they're not in violation of the license. One could argue that the models produce "derivative works, but..."

The derivative works argument is inapt. The point of it is to disrupt someone's end-run around the license by saying that building on top of GPL code is not enough to non-GPL it. We imagine this will still work for LLMs because of the GPLs virality--I can't enclose a critical GPL module in non-GPL code and not release the GPL code. But the models aren't DOING THAT. They're not reaching for XYZ GPL'd project to build with. They're vibing out a sparsely connected network of information about literally trillions of lines of software. What comes out is a mishmash of code from here and there, and only coincidentally resembles GPL code, when it does. In order to make this argument work, you need a theory of how LLMs are trained and operate that supports it. Regardless of whether or not one of those theories exist, in court, you'd need to show that your theory was better than the company's expert witness's theory. Good luck.

Second, infringement would need discovery to uncover and would be contingent on user input. This is why the NYT sued for deleted user prompts to ChatGPT--the plaintiffs can't show in public that the content is infringing, so they need to seek discovery to find evidence. That's only going to work in cases where you survive a motion to dismiss--which is EXACTLY where a few of these suits have failed. You need to show first that you can succeed on the merits, then you proceed. That will cut down many of these challenges since they just can't show the actual infringement.

Third, and I think this is the most important, the license protections here are enforced by *copyright*. For copyright it very much matters if something is lifted verbatim vs modified. It is not like patent protection where things like clean room design are shown to have mattered to real courts on real matters. In additional contrast to patents, copyright doesn't care if the outcome is close. That's very much a concern for patents. If I patent a gizmo and you produce a gizmo that operates through nearly identical mechanisms to those I patented, then you can be sued--they don't need to be exact. If I write a novel about a boy wizard with glasses who takes a train to a school in Scotland and you write a novel about a boy wizard with glasses who takes a boat to a school in Inishmurray, I can't sue you for copyright infringement. You need to copy the words I wrote and distribute them to rise to a violation.