A logjam is forming as reports pile up without fixes, and different users repeatedly discover the same issues using identical tools.
Linux founder Linus Torvalds addressed this issue in his latest "state of the kernel" post, stating, "the continued flood of AI reports has basically made the security list almost entirely unmanageable, with enormous duplication due to different people finding the same things with the same tools," according to *The Register*.
This sentiment likely does not apply to critical vulnerabilities like the "Copy Fail" exploit, which utilized AI to detect the flaw impacting nearly every Linux distribution.
"The documentation may be a bit less blunt than I am," Torvalds remarked. "So just to make it really clear: if you found a bug using AI tools, the chances are somebody else found it too." He described these duplicate submissions as "entirely pointless churn," noting:
We’re making it clear that AI detected bugs are pretty much by definition not secret, and treating them on some private list is a waste of time for everybody involved—and only makes that duplication worse because the reporters can’t even see each other’s reports.
AI tools are highly beneficial, provided they genuinely assist rather than causing unnecessary pain and futile tasks. While users are welcome to employ these tools, they must be used in a manner that is productive and enhances the overall experience.
Torvalds continued, "If you actually want to add value, read the documentation, create a patch too, and add some real value on top of what the AI did. Don’t be the drive-by 'send a random report with no real understanding' kind of person."
Similarly, GitHub senior product security engineer Jarom Brown responded to the influx of AI-generated reports, asserting that while the platform has "no problem" with AI tools generally, AI-assisted submissions require validation to be useful.
A verified, reproduced finding submitted with a working proof of concept is an excellent submission. Conversely, an unvalidated output submitted without evidence of reproduction or impact is not. If your focus has been on volume, we encourage a shift toward depth, as one well-researched, validated finding is worth more than 10 speculative ones in terms of both bounty payout and reputation. The researchers earning the most from our program are those who go deep.
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