Can Claude Mythos stress-test software at scale, automatically?

Ever pushed code thinking, “This should be safe”… and moved on?

Most teams do.

Because realistically:

– You don’t have time to review every edge case

– Security audits are expensive and slow

– And if something really critical existed… surely someone would’ve caught it by now

Right?

Here’s the uncomfortable truth:

Some vulnerabilities sit in production code for 5, 10, even 20+ years – completely unnoticed.

Not because people are careless.

But because finding them is genuinely hard.

Now here comes a new AI model – Claude Mythos Preview

What it found is…:

– A 27-year-old bug in OpenBSD (an OS known for security)

– A 16-year-old vulnerability in FFmpeg, one of the most widely used media libraries

– Multiple Linux kernel privilege escalation paths

These aren’t obscure hobby projects.

These are battle-tested, heavily audited systems.

However, what I see this is a double-edged sword:

If you could use it, so could the attacker 🙂

The bottleneck will no longer be finding vulnerabilities

It’s who finds them first – attackers or defenders

But do you think, are we entering a world where software gets stress-tested at scale, automatically?

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