Linus Torvalds, the creator of Linux, has clarified that the Linux kernel project is not opposed to artificial intelligence, even as it continues to grapple with problems caused by irresponsible AI-generated contributions. According to InfoWorld, Torvalds acknowledged that AI has both strengths and weaknesses but emphasized that the Linux community should view it as a practical development tool rather than an ideological issue. He stated that "Linux is not one of those anti-AI projects," making it clear that developers are free to use AI if it improves their work.
Torvalds' comments come just weeks after he criticized the growing flood of AI-generated vulnerability reports, many of which were low quality and created unnecessary work for Linux kernel maintainers. While he remains frustrated with AI being used irresponsibly, he believes the solution is better use of AI—not rejecting it altogether. He argued that AI can be valuable for tasks such as reviewing code, identifying bugs, assisting maintainers, and improving developer productivity, provided that humans remain responsible for validating the output.
A key message from Torvalds is that accountability remains with human developers. AI-generated patches, bug reports, or code contributions should be evaluated using the same standards as any human-written contribution. Developers cannot shift responsibility to AI when errors occur. Torvalds also rejected attempts to turn AI into a divisive issue within the open-source community, emphasizing that Linux is driven by technical merit and practical engineering, not by opposition to emerging technologies. Developers who dislike AI are free not to use it, but they should not prevent others from using it responsibly.
The article concludes that Torvalds' position reflects a pragmatic approach to AI in open source. He recognizes that AI is becoming an increasingly important software development tool, but insists that it must complement—not replace—human expertise. For the Linux kernel, the future is likely to involve human-AI collaboration, where AI accelerates development and assists maintainers while experienced developers continue to review, verify, and take responsibility for every change that enters the codebase.
