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-title: Generative AI Policy
----
-
-It is the opinion of the Board that Large Language Models (LLMs), herein referred
-to as Slop Generators, are unsuitable for use as software engineering tools,
-particularly in the Free and Open Source Software movement.
-
-The use of Slop Generators in _any_ contribution to the Asahi Linux project is
-expressly forbidden. Their use in any material capacity where code, documentation,
-engineering decisions, etc. are largely created with the "help" of a Slop Generators
-will be met with a single warning. Subsequent disregard for this policy will be
-met with an immediate and permanent ban from the Asahi Linux project and all
-associated spaces.
-
-## Illegal output
-All of the popular Slop Generators are trained on an incomprehensibly large corpus
-of text. There is ample evidence across the Web of this training material including
-copyrighted material, brazenly stolen by the Slop Generator proprietors with
-impunity. Due to the nature of Slop Generators, they are prone to regurgitating
-their training corpus almost verbatim. This presents a challenge for FOSS projects
-in that the use of generated slop is highly likely to violate intellectual property
-law by way of regurgitating the aforementioned stolen training material. This
-likelihood is proportional to the specificity of the problem area.
-
-Asahi Linux is a _highly_ specific project, working in esoteric problem spaces
-on publicly undocumented hardware. Given the techniques used by Slop Generator
-manufacturers, it is not impossible for them to have confidential or leaked
-material owned by Apple or its vendor partners in their training corpi. It is
-therefore likely that Slop Generators will regurgitate this when queried in just
-the right way. We already forbid the use of illegally acquired or leaked
-documentation and tooling (e.g. Apple's internal repair diagnostic tools). This
-also applies to regurgitated slop.
-
-FOSS projects like Asahi Linux cannot afford costly intellectual property lawsuits
-in US courts. The current political situation in that nation also makes it
-incredibly unlikely that any FOSS project would win such a suit regardless of
-the quality of its defence.
-
-## Waste of resources
-Slop Generators consume an unfathomable amount of resources we can scarcely afford
-to waste. Training, and to a lesser extent inference, require enormous amounts of
-energy, water, land, and hardware. Manufacturing the hardware itself requires enormous
-amounts of energy, water and minerals. All parts of the Slop Generator supply chain
-are environmentally intensive. These resources are better used on quite literally
-anything else.
-
-## LMGTFY
-An emerging trend we have observed is people copying user questions or posts into
-a Slop Generator, then replying to the post with the generated slop. This is
-occurring with increasing frequency, particularly on Reddit. For some people it
-is tempting to "help" others and answer questions by feeding them to a LLM and
-then posting the answer as-is, or lightly edited at best. If this is you, please
-realise that others also have access to the same models as you do, and if they
-wanted an answer from one, they could have asked it themselves. Doing this is
-exactly as helpful as posting a LMGTFY link, and everyone else _will_ view your
-actions as if you did exactly that.
-
-## It's just matmul
-It is very easy to get caught up in the hype that bad actors have built around
-Slop Generators. The anthropomorphic presentation of Slop Generators as "agents"
-or "assistants" is a very deliberate attempt to manufacture consent for their
-integration into workforces at the expense of human interaction. The implication
-of some higher degree intelligence or sentience is very much deliberate, and it
-is very much false.
-
-Make no mistake, they cannot think. They cannot reason. They cannot take into
-account context. They don't "know" things or have a sense of humour or any of the
-other human-centric qualities bad actors would have you believe of them. Slop
-Generators are a [chain of matrices in a stochastic system](https://en.wikipedia.org/wiki/Markov_chain).
-The output of a Slop Generator is nothing more than a statistical calculation,
-where the next word to be generated is decided by an opaque probabilistic
-function dependent on previously generated words. This is fundamentally the
-same mathematics that is used to predict the weather.
-
-A Slop Generator cannot assess the veracity of its claims, nor can it ever
-tell you that it simply does not know something. Slop Generators
-are often _confidently incorrect_ as a result, and require brow-beating
-to admit a mistake. They are therefore highly inappropriate tools in contexts where
-truth and correctness are of utmost importance, and when the user is not already
-highly knowledgeable and confident in the problem area. This presents a bit of
-an issue for Slop Generators; if the user is already highly knowledgeable and
-confident in the problem area, then why ask the Slop Generator in the first place?