[martin-t]

I admit, rewarding work fairly is very difficult with perfect information, much more with proprietary models and training data.

With code, some licenses are compatible, for example you could take a model trained on GPL and MIT code, and use it to produce GPL code. (The resulting model would _of course_ also be a derivative work licensed under the GPL.) That satisfies the biggest elephant in the room - giving users their rights to inspect and modify the code. Giving credit to individual authors is more difficult though.

I haven't been following the lawsuits much, I am powerless to influence them and having written my fair share of GPL and AGPL code, this whole LLM thing feels like being spat in the face.