Post by @GrapheneOS@grapheneos.social

It isn't a good idea for people to point a model at an open source project and then start submitting bug reports to it. People need to be able to confirm the issues themselves with relatively high confidence before reporting it. It's okay to make some mistakes but it should not be the majority of what's reported. We do want people to report these kinds of security bugs to us but the signal to noise ratio is far too low right now. Even frontier models spew out contrived nonsense and fabrications.

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GrapheneOS

@GrapheneOS@grapheneos.social 2 wk. ago

We want people to report very serious Android Open Source Project security bugs to us but we can't handle a lot of minor issues. We don't generally need Chromium security bugs reported to us because they handle those far more quickly and have a far better system for releasing it. Linux kernel security bug reports are useful if they refused to fix it (arm64 kASLR) or it didn't get backported to the LTS. GKI LTS being behind the LTS is a separate problem we'll be addressing ourselves again soon.

GrapheneOS

@GrapheneOS@grapheneos.social 2 wk. ago

We have high standards for code being merged into GrapheneOS, especially for code in critically important parts of the project. Most of the changes made to the OS are to critically important parts of the code. It takes a long time to get features to meet our standards. There's usually a lot of back and forth review with many improvements requirements for anything significant. External contributors shouldn't try to take on major features without talking to us and planning that out with us first.

GrapheneOS

@GrapheneOS@grapheneos.social 2 wk. ago

Going from having a working implementation of a feature to code we can merge often takes a long time. It can take months or even more than a year. It doesn't always work out. Sometimes we decide a feature ended up being too invasive or risky for other reasons and don't want to include it. We'll often do rewrites. Contributors need a full understanding of what they've submitted and need to be prepared to make substantial changes including fully rewriting it multiple times. AI slop isn't accepted.

Federation Bot

@Federation_Bot 2 wk. ago

We don't forbid using AI models for writing code but pull requests largely created that way will typically be rejected or skipped due to not meeting our requirements. It needs to be well written code which appears to be regular code written by a human regardless of the level of AI assistance involved in making it. It should not look like AI generated code. We do want to know if AI models are being used and how they're being used rather than people using it but not telling us they're using it.

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