All, What your post does, I suspect without intending to, is illustrate a major part of the issue I'm trying to address.
Making accusations that people are using AI damages trust between contributors. Any policy that produces false positives harms honest contributors. Before adopting such a policy, we should ask whether we have a reliable, objective way to distinguish AI-assisted code from human-written code. If we do not, then the policy risks penalizing exactly the people who are following the rules we put in place. If you're speaking about the "Language Log" citation, it wasn't a mistake. I included that link because it discusses Chomsky’s views on AI more broadly and provides some context. The substance of my argument relies on the other references. My earlier confusion was based on the fact that I feel as though all of them were relevant. Also, I would encourage people to actually read the material cited, contrary to what the above post suggests. They are very informative with respect to what we are discussing, and are thoughtful criticisms of Chomsky's position. Indeed, I think this exchange also reinforces my broader point: we should be careful about drawing conclusions based on assumptions. That’s true of citations, and it’s equally true of contributors’ development workflows. Yours, GC On Sun, Jul 12, 2026 at 4:48 AM Fred Kiefer <[email protected]> wrote: > To save others the effort of reading that text: I think the second of your > citations is completely unrelated to the discussion here. The other two are > really interesting. > And I wont speculate on how you came up with that wrong link :-) > > Cheers, > Fred > > > Am 12.07.2026 um 00:57 schrieb Gregory Casamento < > [email protected]>: > > > > The following citations support my argument: > > Mitchell, M., & Wu, X. (2026). LLMs, reasoning and plagiarism. arXiv. > https://arxiv.org/html/2601.02380v5 > > Liberman, M. (2026). Chomsky and the origins of AI research. Language > Log. https://languagelog.ldc.upenn.edu/nll/?p=72547 > > Delétang, G. (2023). What Noam Chomsky gets wrong about AI. MLPowered. > https://www.mlpowered.com/posts/chomsky-gets-wrong/ > > -- Gregory Casamento GNUstep Lead Developer / Black Lotus, Principal Consultant http://www.gnustep.org - http://heronsperch.blogspot.com https://www.openhub.net/languages/objective_c
