> 2. Models that do not do output filtering to restrict the reproduction of > training data unless the tool can ensure the output is license compatible? > > 2 would basically prohibit locally run models.
I am not for this for the reasons listed above. There isn’t a difference between this and a contributor copying code and sending our way. We still need to validate the code can be accepted . We also have the issue of having this be a broad stroke. If the user asked a model to write a test for the code the human wrote, we reject the contribution as they used a local model? This poses very little copywriting risk yet our policy would now reject Sent from my iPhone > On Jun 25, 2025, at 9:10 AM, Ariel Weisberg <ar...@weisberg.ws> wrote: > > 2. Models that do not do output filtering to restrict the reproduction of > training data unless the tool can ensure the output is license compatible? > > 2 would basically prohibit locally run models.
