It's pretty clear at this point that Mythos' capability to discover and exploit zero-day vulnerabilities at scale is but an incremental improvement over existing models like the ones available to OpenAI's Plus/Pro subscribers.
Anthropic tries to create marketing hype around Mythos using two psychological tricks.
1. Put large numbers in the headlines.
"Mythos discovered 271 vulnerabilities in Firefox" makes the model seem extremely capable to the uninitiated.
But it's actually meaningless as a measure of capability _improvement_.
Anthropic gave away $100mil specifically as Mythos credits to these projects and companies (that's $2.5mil per project). Spending the same exorbitant amount of compute analyzing the same codebases in an older model like GPT 5.x Pro would have turned up 260 of these vulnerabilities, or could even have turned up more than 271 ones.
No need to speculate, since this is exactly what we saw in the few code bases where we have such comparisons (like in the curl codebase). Supposedly weaker models, working with a much lower budget, turned up dozens of vulnerabilities. Mythos turned up only one, which ended up as a low severity CVE.
2. Do the whole "too dangerous to release" shtick. This is one of Dario Amodei's favorite moves. When he was vice president of research at OpenAI, he declared GPT-3 (which wasn't able to produce coherent text beyond 3-4 sentences at the time) too dangerous [1] as well.
Long story short, it's the ChatGPT 4.5 situation again: a company trained a model that's too slow and expensive, but not much more capable than what came before. It therefore requires these marketing stunts.
[1] https://www.itpro.com/technology/artificial-intelligence-ai/...