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| 1 | +--- |
| 2 | +title: Generative AI Policy |
| 3 | +date: "2026-09-08T09:00:00+10:00" |
| 4 | +draft: false |
| 5 | +aliases: |
| 6 | + /slop |
| 7 | +--- |
| 8 | + |
| 9 | +Generative AI tools using large language models (LLMs) are widespread |
| 10 | +in software development today. While we acknowledge that these tools |
| 11 | +do have uses cases, LLMs engender harms to the pillars of Asahi Linux: |
| 12 | +software freedom, the open-source community, the open Internet, the |
| 13 | +environment, digital privacy, user consent, and software developers |
| 14 | +themselves. For more information on the ethical issues of LLM use |
| 15 | +in open source, we recommend reading [SourceHut's policy](https://sourcehut.org/blog/2026-08-27-tos-changes-and-llms/) |
| 16 | + |
| 17 | +Furthermore, Asahi Linux relies on [clean room reverse engineering](https://asahilinux.org/copyright) |
| 18 | +to ensure our work is legal. We have strict guardrails around |
| 19 | +binary disassembly and decompilation, and we absolutely forbid |
| 20 | +the use of leaked materials. While general questions around |
| 21 | +LLMs and copyright remain unsettled, LLMs pose unique legal risks to |
| 22 | +reverse engineering projects, as these systems are likely to violate |
| 23 | +the clean room requirements and taint the resulting code. This risk |
| 24 | +is amplified with "agentic" approaches, where the human may |
| 25 | +be unaware of the reverse engineering process. In reverse engineering |
| 26 | +and science _how_ knowledge is obtained is just as important as the |
| 27 | +knowledge itself. |
| 28 | + |
| 29 | +Due to these legal and ethical issues, we broadly forbid the use of |
| 30 | +generative AI tooling for material contributions to Asahi Linux. |
| 31 | +Enforcement may vary depending on the seriousness of the infraction. |
| 32 | +A GitHub issue drafted by an LLM may simply be closed with reference |
| 33 | +to this policy. A contributor using an LLM to interpret a trace |
| 34 | +made using the m1n1 hypervisor may be issued with a first and final |
| 35 | +warning. A contributor found to have concealed extensive LLM use will |
| 36 | +be banned immediately, particularly if they may have accessed unreleased |
| 37 | +Apple material. |
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