Probably not. "This model is too powerful for the public" can also be interpreted another way, which they've also strongly hinted at - the cost/benefit ratio of the upgrade is negative for the vast majority of all users. Finding vulnerabilities is one of the few cases where it makes sense to use it.

Their writing about the model so far does say this is an issue where, for instance, you can't really use Mythos for interactive coding because it's so slow. You have to give it some work, go home, sleep, come in the next day and then maybe it'll have something for you.

All the AI labs and startups are still losing money hand over fist. Launching Mythos would require it to be priced well above current models, for a much slower product. Would the majority of customers notice the difference in intelligence given the tasks they're setting? If the answer is no, it's not economic to launch.

Really, I'm surprised they've done Mythos. Maybe they just wanted to exploit access to larger contiguous training datacenters than OpenAI, but what these labs need isn't smarter models, it's smaller and cheaper models that users will accept as good enough substitutes (or more advanced model routing, dynamic thinking, etc).