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ML-LIB: Machine Learning Library Proposed For The Linux Kernel
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this post was submitted on 06 Feb 2026
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It's wild that one of the problems is that the kernel doesn't use floating point numbers.
It isn't really so strange that they aren't used, if you think about it. Floating point is subject to fuzziness in the last several digits, and you can't guarantee that a given value is going to round the same way when you're dealing with multiple arches (or even multiple versions of what's nominally the same arch, since optimizations change over time). Undefined behaviour is nasty. Floating point is useful for many things, but I'd keep it out of a cross-platform system kernel unless I liked hard-to-diagnose bugs.
@nyan @Gobbel2000 This, totally. But then if you are going to throw unconstrained machine learning in there you are going to run into hard-to-diagnose bugs.