Linux Creator Linus Torvalds Rejects Anti-AI Push and Defends LLM Tools

Linux creator and top-level kernel maintainer Linus Torvalds has made it clear that the Linux kernel project will not adopt an anti-AI stance.

He believes that large language models and related tools should be assessed based on their technical value rather than dismissed outright.

His comments were part of a discussion on the Linux Media mailing list about potential connections between Patchwork and Sashiko, a tool designed to assist maintainers in managing kernel development workflows.

Linus Torvalds Rejects Anti-AI Push

In response to concerns that the discussion reflected a broader anti-LLM (large language model) sentiment, Torvalds emphasized that this position does not represent the views of the Linux kernel project.

He acknowledged that some contributors have strong objections to AI. However, he reiterated that the project will remain open to its use.

He characterized AI as “a tool,” similar to other technologies utilized in kernel development. He stated that its usefulness is well established, allowing the conversation to move beyond questioning its practical value.

These remarks are particularly significant because the kernel development process relies on a distributed network of maintainers who review a large volume of patches, mailing-list submissions, bug reports, and regression information.

AI-assisted systems could potentially alleviate administrative workloads by helping to classify patches, identify relevant reviewers, summarize lengthy discussions, correlate reports, and highlight suspected defects.

The discussion specifically focused on Sashiko’s stated goal of assisting maintainers, underlining the operational uses of AI technology rather than its potential for code generation.

Torvalds did not claim that AI is infallible or impose its use on kernel contributors. Instead, he distinguished between allowing the use of tools and mandating their adoption, stating that developers would not be forced to use AI, while also making it clear that objections should not hinder others from employing it.

This stance preserves individual choice while enabling maintainers and project infrastructure teams to explore AI-supported workflows where they might provide measurable benefits.

From a software security perspective, Torvalds’ message reflects a pragmatic but significant approach. While AI systems can expedite the identification of code defects, unsafe patterns, regressions, and potentially exploitable conditions, they can also produce inaccurate analyses, low-quality patches, misleading explanations, or generated code that demands thorough validation.

Torvalds acknowledged that the technology can increase the burden on maintainers and can reveal “embarrassing bugs,” but he argued that the right response is to enhance how such tools support maintainers rather than to disregard them.

This statement also reinforces a core principle of the kernel project: technical merit is the foundation for engineering decisions. Torvalds emphasized that Linux is dedicated to producing better technology through open-source development, rather than treating opposition to certain tools as an ideological necessity.

Under this model, the use of AI will likely be evaluated based on whether it improves review quality, reduces repetitive tasks, enhances defect detection, and avoids creating new burdens for maintainers.

For organizations that rely on Linux in cloud, enterprise, embedded, and security-sensitive environments, this debate will be closely monitored.

Although AI-assisted development may enhance vulnerability discovery and patch triage, it does not replace human code review, reproducible testing, provenance controls, or secure software supply-chain practices.

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