[OpenAI Mythos] Provide clear documentation and usage guidance for code vulnerability detection

OpenAI basically took its latest model (not even a Frontier one) and re-released it after effectively removing guardrails. They are likely trying to enhance researchers' ability to find code vulnerabilities. But neither OpenAI nor Anthropic is telling the cybersecurity community how to even accomplish this. We have heard from multiple folks with Mythos that they don't even know what specifically they're supposed to do with it. Point it at applications and say "find vulnerabilities" or what? It's not like it comes with a how-to manual or a man page. This is nothing more than one vendor trying to one-up another.  We need to start benchmarking how one AI model is able to find code vulnerabilities over another and how quickly they are doing it. There are real risks at stake here. Is the solution to this problem that people should do code analysis and vulnerability discovery through models without additional security? For the majority of defenders out there that do not have the offensive training for fuzzing or vulnerability discovery, what are they supposed to do in the meantime? How are they going to validate the individuals (and people at enterprises) asking for access? While we can applaud that all these models are released to defenders first, the real issue is: is everyone fully aware of what to do with them once they get their hands on them?