Small models also found the vulnerabilities that Mythos found

https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontier

AI Cybersecurity After Mythos: The Jagged Frontier

Why the moat is the system, not the model

AISLE

The Anthropic writeup addresses this explicitly:

> This was the most critical vulnerability we discovered in OpenBSD with Mythos Preview after a thousand runs through our scaffold. Across a thousand runs through our scaffold, the total cost was under $20,000 and found several dozen more findings. While the specific run that found the bug above cost under $50, that number only makes sense with full hindsight. Like any search process, we can't know in advance which run will succeed.

Mythos scoured the entire continent for gold and found some. For these small models, the authors pointed at a particular acre of land and said "any gold there? eh? eh?" while waggling their eyebrows suggestively.

For a true apples-to-apples comparison, let's see it sweep the entire FreeBSD codebase. I hypothesize it will find the exploit, but it will also turn up so much irrelevant nonsense that it won't matter.

> I hypothesize it will find the exploit, but it will also turn up so much irrelevant nonsense that it won't matter.

The trick with Mythos wasn't that it didn't hallucinate nonsense vulnerabilities, it absolutely did. It was able to verify some were real though by testing them.

The question is if smaller models can verify and test the vulnerabilities too, and can it be done cheaper than these Mythos experiments.

The article positions the smaller models as capable under expert orchestration, which to be any kind of comparable must include validation.
Calling it “expert orchestration” is misleading when they were pointing it at the vulnerable functions and giving it hints about what to look for because they already knew the vulnerability.
You know for loops exist and you can run opencode against any section of code with just a small amount of templating, right? There's zero stopping you from writing a harness that does what you're saying.