After a few revisions of his position on AI-assisted contributions to the Linux kernel, Linus Torvalds has posted his own first LLM-assisted patch. The development branch purports to fix an old issue with massive cache contention when many CPUs are reading the same file — a scenario potentially encountered when using shared libraries, databases, and web servers. Several developers had already made attempts over the years at fixing the issue, all with varied results, none quite ideal as an all-encompassing solution.
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Torvalds posted his own draft for solving the problem in early 2024, and has used it on his own laptop since that time. However, he recently took the plunge and decided to "try to actually solve this thing using an LLM." He's now posted his solution in a development branch, and claims that he's seen a 23x performance improvement in a dedicated synthetic benchmark, though he notes that actual real-world impact will be far less significant, as "no real load" will witness those figures. If we had to guess, this improvement would benefit server workloads far more than desktop machines.
Over time, Torvalds has broadly taken a pro-AI stance on LLM tooling, at least within the purview of the tightly controlled, review-heavy environment of the Linux kernel code.
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