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>It should be able to make an OS. It should be able to write drivers. How is it going to do that without testing (and potentially bricking) hardware in real li
by beeflet 1y ago
>It should be able to make an OS. It should be able to write drivers.
How is it going to do that without testing (and potentially bricking) hardware in real life?
>It should be able to transpile compiled binaries (which are just languages of a different language) across architectures
I don't know why you would use an LLM to do that. Couldn't you just distribute the binaries in some intermediate format, or decompile them to a comprehensible source format first?
- AtlasBarfed 1y agoI agree that it's a challenging problem. My line of thinking is that AI essentially is really good at breadth-based problems wide knowledge. An operating system is a specific well-known set of problems. Generally, it's not novel technology involved. An OS is a massive amount of work. Technical butrudgerous work. If there's a large amount of source code, a great deal of discussion on that source code, and lots of other working examples, and you're really just kind of doing a derivative n + 1 design or adaptation of an existing product, that sounds like something in llm can do Obviously I'm not talking about vibe, coding and OS. But could an OS do 99% of that and vastly reduce the amount of work to get a OS to work with your hardware with the big assumption that you have access to specs or some way of doing that?