Regarding #1, at least in the mainframe/cloud model of hosted LLMs, the operators have a history of model prompts and outputs. For example, if using Copilot, M

Regarding #1, at least in the mainframe/cloud model of hosted LLMs, the operators have a history of model prompts and outputs. For example, if using Copilot, Microsoft also has every commit ever made if the project is on GitHub. They could, theoretically, determine what did or didn't come out of their models and was integrated into source trees. Regarding #2 and #3, with relatively novel software like QEMU that models platforms that other open source software doesn't, LLMs might not be a good fit for contributions. Especially where emulation and hardware accuracy, timing, quirks, errata etc matter. For example, modeling a new architecture or emulating new hardware might have LLMs generating convincing looking nonsense. Similarly, integrating them with newly added and changing APIs like in kvm might be a poor choice for LLM use.