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Fri, 12 Jun 2026 16:46:19 -0700 (PDT) Received: from fedora ([2601:646:8081:3770::33a9]) by smtp.gmail.com with ESMTPSA id 5a478bee46e88-3081e91f88bsm5466619eec.16.2026.06.12.16.46.17 (version=TLS1_3 cipher=TLS_AES_256_GCM_SHA384 bits=256/256); Fri, 12 Jun 2026 16:46:18 -0700 (PDT) To: Adhemerval Zanella Netto Cc: Andrew Pinski , Carlos O'Donell , glibc developers , gdb developers Subject: Re: Nominations for =?utf-8?Q?Anthropic=E2=80=99s?= Claude for Open Source program In-Reply-To: <5c2e18dd-807c-4331-b12c-a5b17b256f5b@linaro.org> References: <5c2e18dd-807c-4331-b12c-a5b17b256f5b@linaro.org> Date: Fri, 12 Jun 2026 16:46:16 -0700 Message-ID: <87ecibxqyf.fsf@gmail.com> User-Agent: Gnus/5.13 (Gnus v5.13) MIME-Version: 1.0 Content-Type: text/plain X-BeenThere: gdb@sourceware.org X-Mailman-Version: 2.1.30 Precedence: list List-Id: Gdb mailing list List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , From: Collin Funk via Gdb Reply-To: Collin Funk Errors-To: gdb-bounces~public-inbox=simark.ca@sourceware.org Sender: "Gdb" Adhemerval Zanella Netto writes: > gnulib guys seem to be experimenting with LLM for patch review recently [1], > and it has uncovered real regressions [2]. And I recall that their > experience with Coverity has been subpar [3], and I think they even started > disregarding it. > > Personally, I see value in adding an LLM to the patch review phase, especially > since we lack manpower and initial triage can help newcomers and uncover some > issues. I don't have access to Gnulib's coverity, but GNU coreutils shows a lot of Gnulib stuff anyways. My feeling is that it is useful, but one has to do some work to filter out perfectly legitimate code (e.g., the coverity machine complains about type limit comparisons which may be different on less common platforms). I don't disagree that LLM review is useful. However, I do want to state my *personal* opinions here as I did in that Gnulib thread. Anthropic (and OpenAI, which has a similar program) tend to play this program up to show how altruistic and great they are. However, the 6 month limit makes it seem like a strategic plan to gain future subscribers. Obviously, I understand their employees have to eat. They should absolutely ban users abusing generosity. However, it feels a bit shitty given that their models would be relatively useless if they could not train on and then regurgitate, likely violating licenses, free software written by maintainers that they claim to be doing favors for. Collin