In February, Opus discovered a whole bunch of security related bugs, but didn’t exploit them.

Mythos, in turn, was fed these bugs and told to exploit them.

Not saying it’s not impressive, but it was literally told “here are all the places our metal detector says there may be gold, please find gold”.

Anthropic noticed the trend of AI vulnerability scanning and started advertising Mythos, which is unreleased, as being very good at it.

Then they donated very large token budgets for using Mythos privately to several teams. Those teams used the free token spend for security research (that was the deal) and anything they found got attributed to Mythos, not the token budget.

Mythos looks like a good incremental model but the PR team has done a great job of associating themselves with the current trend. So much so that comments like yours already associated vulnerabilities found with this model which isn’t even available yet

Close enough that you can probably get a good sense of Mythos' performance by using GPT-5.5.

One thing I noticed while using GPT-5.5 for this is that the ability of the model to turn the bug into an outright vulnerability is less relevant than you might intuitively think. All that is really necessary is for the model to point out that something is smelly, and you should just fix it. Turning it into a runnable exploit has very limited utility for the defender. It does turn heads and may get the attention of some otherwise reluctant people, but everything I found was obviously enough wrong that the exploit was just decorative.

AFAIK, the only thing it found in OpenBSD was a DoS?

Edit: For that matter, I'm not aware of RCEs in Linux, only LPE?