Small models also found the vulnerabilities that Mythos found
https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontier
Small models also found the vulnerabilities that Mythos found
https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontier
If you cut out the vulnerable code from Heartbleed and just put it in front of a C programmer, they will immediately flag it. It's obvious. But it took Neel Mehta to discover it. What's difficult about finding vulnerabilities isn't properly identifying whether code is mishandling buffers or holding references after freeing something; it's spotting that in the context of a large, complex program, and working out how attacker-controlled data hits that code.
It's weird that Aisle wrote this.
It's weird, because when working on a big project, taking a break for a week or two, and returning to it, I will find a bug and will see hundreds of lines of code that are absolutely terrible, and I will tell myself "Tom you know better than to do this, this is a rookie mistake".
I think people forget that it's hard to be clever and tidy 100% of the time. Big programs take a lot of discipline and an understanding of the context that can be really hard to maintain. This is one of several reasons that my second draft or third draft of code is almost always considerably better than the first draft.