Re: GR -- Allow AI-Assisted Contributions

Hi Jonathan

On 2026/02/20 15:39, Jonathan Dowland wrote:
>> For example, a few weeks ago I was working late one night and I 
>> couldn't put my finger on it, but my one loop just looked really wrong 
>> and ugly, so I searched on duck duck go to go find some patterns that 
>> look nice that fit my use case, and Duck Duck AI popped up and 
>> suggested a very neat and elegant list comprehension that was such an 
>> obviously good choice, that I really should have thought of it in the 
>> first place.
> 
> Personally, as part of refining my own position on these matters, I've 
> wanted to explore the idea of what would be acceptable to me, wrt 
> copyright, to harness the value you demonstrate in your anecdote.
> 
> An LLM which was solely trained on a corpus of free software with intra- 
> compatible licensing (for the sake of this example say, GPL2 or later, 
> and anything compatible with it), such that we declare the resulting 
> weightings to be a derivative, licensed GPL2+, and attribute the 
> authorship to the union of authorship of *all* the inputs, and consider 
> anything it outputs to be a derivative, likewise GPL2+. Would that be 
> acceptable? Would that be useful?

IMHO that would be useful, especially if it could be accurate enough 
with the attribution part. Does such a model exist yet?

-Jonathan