@marksaroufim I tried to draft something similar ages ago using LLMs. It would be great to actually do something like that with lawyer feedback:
GPU MODE adopts the Researcher Reciprocity License, requiring anyone training models on its datasets to grant reciprocal generation rights
Google DeepMind's Andreas Kirsch helped develop the legal framework.
Users appreciate GPU MODE adopting the Researcher Reciprocity License for Datasets because it matches their past attempts to draft similar terms with LLMs and could improve with lawyer input.
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@marksaroufim What if they just jack up the price for researcher for exactly the same thing?

@marksaroufim @a1zhang « if you train on my work for free, I should be able to use your model for free »
GPU MODE has powered much of the public GPU kernel work online, with a permissive license from day one and generous credit from researchers, NVIDIA, AMD, and others.
Today we’re moving our datasets to the Researcher Reciprocity License.
June 9th Researcher Reciprocity License
"if you train on it, you let us generate - reverse terms of use void"
Status quo 1. We teach frontier devs with ICLR/NeurIPS papers, OSS Github contributions 2. They use it to make frontier models 3. Then ban us from exploring our ideas
We need a new license, original thinkers can't be an underclass to a tyrannical researcher fiefdom

@marksaroufim license pivots are always a trust check
curious how many devs actually read before they agree

@Leik0w0 @marksaroufim @a1zhang « if you trained on work that i made generally available, then you too must make your product generally available »

@marksaroufim this license structure is interesting but it only works if they can actually enforce the reciprocity clause. is that enforceable?