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References: <868rf5e71j.fsf@gmail.com> Date: Sat, 13 May 2023 12:13:42 +0800 In-Reply-To: <868rf5e71j.fsf@gmail.com> (Simon Tournier's message of "Thu, 06 Apr 2023 10:42:00 +0200") Message-ID: <87ilcweumh.fsf@envs.net> User-Agent: Gnus/5.13 (Gnus v5.13) Emacs/28.2 (gnu/linux) MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable Received-SPF: pass client-ip=5.199.136.28; envelope-from=iyzsong@envs.net; helo=mail.envs.net X-Spam_score_int: -20 X-Spam_score: -2.1 X-Spam_bar: -- X-Spam_report: (-2.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, SPF_HELO_NONE=0.001, T_SCC_BODY_TEXT_LINE=-0.01, T_SPF_TEMPERROR=0.01, UNPARSEABLE_RELAY=0.001 autolearn=ham autolearn_force=no X-Spam_action: no action X-BeenThere: guix-devel@gnu.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: "Development of GNU Guix and the GNU System distribution." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: guix-devel-bounces+larch=yhetil.org@gnu.org Sender: guix-devel-bounces+larch=yhetil.org@gnu.org X-Migadu-Flow: FLOW_IN X-Migadu-Country: US ARC-Seal: i=1; s=key1; d=yhetil.org; t=1683951283; a=rsa-sha256; cv=none; b=LxYE/TVqJ0riUW6lcNjklCe7oVZpOast9ap0wExwHBMNTr8s9gp8pji2UJzds9/sw6OGjM jPvnoosSxhZn2vNu5sMuhb3lO3+FNGEAARFzA6xQZoxCshJr62lOrAIU3uIcKoXKCCJnGf yfI57EYRlV9+NuVJgtK2OhdxokYmKFhr/f8PJiiOB5APUaXQzHIIC0Ex7s1UWNV3w1mGpU uEiA6NP/NTYZ+Jt0COvLJXmazQuuhjFDwMrGS9wVusKqD38s3c1FAmQFOoi9QHUvrWFlsP eZefD+2eV1sska/TIiCLg+ZRzUU5fv17sHZKmSrwoApxk79pGd6dq+UwJbWq4Q== ARC-Authentication-Results: i=1; aspmx1.migadu.com; dkim=pass header.d=envs.net header.s=modoboa header.b=ERPCGoCf; dmarc=pass (policy=quarantine) header.from=envs.net; spf=pass (aspmx1.migadu.com: domain of "guix-devel-bounces+larch=yhetil.org@gnu.org" designates 209.51.188.17 as permitted sender) smtp.mailfrom="guix-devel-bounces+larch=yhetil.org@gnu.org" ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=yhetil.org; s=key1; t=1683951283; h=from:from:sender:sender:reply-to:subject:subject:date:date: message-id:message-id:to:to:cc:cc:mime-version:mime-version: content-type:content-type: content-transfer-encoding:content-transfer-encoding: in-reply-to:in-reply-to:references:references:list-id:list-help: list-unsubscribe:list-subscribe:list-post:dkim-signature; bh=k3yUWeqQNueAOPp4FgCXOzKBAz6VHMCASR6/xo2yJec=; b=V8s6u0W97bqvqV3/0uYOIyT15L4GwpP7uSQrt8im3czPDi67uz/rmPfbvojAxLCsCi3BMb Q+d7O+VUC2sBGMXvBtu80sz3Cr5hvjloK55nqd1xB44WAbq14xzfsQ4nyUXj0q2lPzR91O VL0lQQgDAfX/XFkE0j6eHGoD1MwqWeEvxdhRSMJHOuURYA1PFLk3TJbNk6ZUI34htQ+mQ1 PikR+U5HqXa0GRwNiHImp8JMCxwq424dSfOVicoqIqVKl41it7G46sZM1sUEgKEDBNZ5We BP+y0XWjqPi44lrgmLB4k8STt/uiwzJFVsnLtD3FpIXQc6+Xzix0COGfPQvkBA== X-Migadu-Scanner: scn1.migadu.com Authentication-Results: aspmx1.migadu.com; dkim=pass header.d=envs.net header.s=modoboa header.b=ERPCGoCf; dmarc=pass (policy=quarantine) header.from=envs.net; spf=pass (aspmx1.migadu.com: domain of "guix-devel-bounces+larch=yhetil.org@gnu.org" designates 209.51.188.17 as permitted sender) smtp.mailfrom="guix-devel-bounces+larch=yhetil.org@gnu.org" X-Migadu-Spam-Score: 2.98 X-Spam-Score: 2.98 X-Migadu-Queue-Id: 9A1F414900 X-TUID: igC3fWGH14at Simon Tournier writes: > Since it is computing, we could ask about the bootstrap of such > generated data. I think it is a slippery slope because it is totally > not affordable to re-train for many cases: (1) we would not have the > hardware resources from a practical point of view,, (2) it is almost > impossible to tackle the source of indeterminism (the optimization is > too entailed with randomness). From my point of view, pre-trained > weights should be considered as the output of a (numerical) experiment, > similarly as we include other experimental data (from genome to > astronomy dataset). > > 1: https://salsa.debian.org/deeplearning-team/ml-policy > 2: https://people.debian.org/~lumin/debian-dl.html > Hello, zamfofex submited a package 'lc0', Leela Chess Zero=E2=80=9D (a chess engine) with ML model, also it turn out that we already had 'stockfish' a similiar one with pre-trained model packaged. Does we reached a conclusion (so lc0 can also be accepted)? Or should we remove 'stockfish'? Thanks!