Hi All, I agree with Dan that the actual contributions to the documentation are of little value: it is not easy to write good documentation, with examples that show not just the mechnanics but the purpose of the function, i.e., go well beyond just showing some random inputs and outputs. And poorly constructed examples are detrimental in that they just hide the fact that the documentation is bad.
I also second his worries about ecological and social costs. But let me add a third issue: the costs to maintainers. I had a quick glance at some of those PRs when they were first posted, but basically decided they were not worth my time to review. For a human contributor, I might well have decided differently, since helping someone to improve their contribution often leads to higher quality further contributions. But here there seems to be no such hope. All the best, Marten Daniele Nicolodi <dani...@grinta.net> writes: > On 03/07/24 23:40, Matthew Brett wrote: >> Hi, >> >> We recently got a set of well-labeled PRs containing (reviewed) >> AI-generated code: >> >> https://github.com/numpy/numpy/pull/26827 >> https://github.com/numpy/numpy/pull/26828 >> https://github.com/numpy/numpy/pull/26829 >> https://github.com/numpy/numpy/pull/26830 >> https://github.com/numpy/numpy/pull/26831 >> >> Do we have a policy on AI-generated code? It seems to me that >> AI-code in general must be a license risk, as the AI may well generate >> code that was derived from, for example, code with a GPL-license. > > There is definitely the issue of copyright to keep in mind, but I see > two other issues: the quality of the contributions and one moral issue. > > IMHO the PR linked above are not high quality contributions: for > example, the added examples are often redundant with each other. In my > experience these are representative of automatically generate content: > as there is little to no effort involved into writing it, the content is > often repetitive and with very low information density. In the case of > documentation, I find this very detrimental to the overall quality. > > Contributions generated with AI have huge ecological and social costs. > Encouraging AI generated contributions, especially where there is > absolutely no need to involve AI to get to the solution, as in the > examples above, makes the project co-responsible for these costs. > > Cheers, > Dan > > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: m...@astro.utoronto.ca _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
