In the blog post “Suddenly, the bugs are very good,” shared by Mozilla, one can observe how—by leveraging bugs identified by Mythos, subsequently updating their test harnesses, and employing other techniques (presumably involving the use of AI)—the volume of bugs identified in April completely breaks with previous trends. “AI-generated security bug reports to open source projects were mostly known for being unwanted slop. […] It is difficult to overstate how much this dynamic changed for us over a few short months.” As is a common trend in the world of AI, Mozilla expresses surprise at how quickly the landscape has shifted: from AI-driven bug hunting being mere “slop” (plausible yet low-quality results that wasted reviewers' time) to suddenly becoming a highly effective tool. This is interesting because we can now clearly glimpse how AI—contrary to popular belief—will indeed play a significant role in making our software more secure by purging it of bugs that have lurked in the code for decades. However, at the same time, this places us in a more precarious security landscape than before, where those with access to the most powerful models will possess a greater capacity to compromise systems by discovering new, previously unknown bugs.
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