OpenAI spent $1.2 million hacking Linux... and it was a bargain — Transcript
Full transcript
- 0:00At the end of October, Anthropic showed
- 0:02a terrifying unreleased claude model to
- 0:04the world that went from a single kernel
- 0:06memory leak to remote access on a Linux
- 0:08server in just 53 minutes. OpenAI saw
- 0:10this and said, "Hold my beer." Because
- 0:12just a few days ago, they published some
- 0:14new research called a thousand fewer
- 0:16paths to root where they used a swarm of
- 0:18agents to tear through the latest Linux
- 0:20kernel master branch, which resulted in
- 0:22948 unique root exploits. But at least
- 0:25they were nice enough to attach a patch
- 0:27for each one of them. Now, I used to
- 0:28think Lionus Torvalds, the guy who
- 0:30created Linux, was a good programmer,
- 0:31but now I'm not so sure. The day after
- 0:33OpenAI revealed all these exploits, they
- 0:35then revealed the model behind it, GPT6
- 0:38Cyber. It's a model that's far too
- 0:40powerful for most of you default setting
- 0:42humans watching this video. But in
- 0:43today's video, we'll take a look at how
- 0:45unneutered cyber security models like
- 0:47this can discover hundreds of unknown
- 0:49exploits in bulletproof software and
- 0:51what that means for the future of
- 0:52software development. It is November
- 0:549th, 2026, and you're watching the code
- 0:56report. To understand the full power of
- 0:58GPT6 Cyber, we first need to understand
- 1:00what an LPE is or local privilege
- 1:03escalation. When you run a Linux server,
- 1:05you typically have a lowprivilege
- 1:06foothold on the machine, and that's by
- 1:08design to only allow you to do the job
- 1:10you're supposed to do and not do things
- 1:12like RM RF on the root directory that
- 1:14could burn your entire server to the
- 1:16ground. The problem with Linux
- 1:17permissions and Windows and every other
- 1:19OS is that under the hood, they're just
- 1:21ones and zeros. And if you can flip the
- 1:23right zeros to ones, you go from random
- 1:25user to God user. The only operating
- 1:27system that doesn't have this problem is
- 1:28Temple OS because there you operate at
- 1:30ring zero by default right next to God.
- 1:33Now that we know that, let's take a look
- 1:34at the actual pipeline OpenAI uses to
- 1:36find 948 unique route exploits in the
- 1:39Linux kernel. The first soldier in their
- 1:41agent swarm is the scout, and its job is
- 1:43to carve the colonel down into code an
- 1:45unprivileged user can actually reach,
- 1:47which resulted in about 5,000 audit
- 1:49targets, or roughly 7% of the total
- 1:51kernel. Then the second agent was the
- 1:53analyst, which would scan those audit
- 1:55targets, and after about 12 hours of
- 1:57working, it slopped out 2,38
- 2:00candidate bugs while burning through
- 2:02$316,000
- 2:04worth of tokens. Then that brings us to
- 2:05the third step, the triage agent. and
- 2:08its job is to reproduce every one of
- 2:10these bugs in an isolated VM and find
- 2:12out if they're legit with the colonel
- 2:14memory checker. After this agent ran for
- 2:16another 30 hours, 1,724
- 2:18of the bugs were the majority of them
- 2:20were confirmed real. And now finally,
- 2:22we're ready to bring in the Navy Seals
- 2:24or the exploit agents. And their job is
- 2:26to try and weaponize these exploits on a
- 2:28stock desktop dro like maybe Arch by the
- 2:30way, but with kernel address space
- 2:32layout randomization and supervisor mode
- 2:34execution protection turned on, which in
- 2:36theory should make the operating system
- 2:38extremely difficult to hack into. What's
- 2:40crazy, though, is that they still ended
- 2:41up with 1,169
- 2:44working root exploits, which could allow
- 2:46a regular Joe Sixpack Linux user with
- 2:48local privileges to escalate their
- 2:49privileges into literally Hitler. Hitler
- 2:52is bad, but the silver lining is that it
- 2:54cost OpenAI $1,213,000
- 2:57to achieve this, or about $1,280 per
- 3:00exploit. Actually, wait a minute. That's
- 3:02not a silver lining at all. Own to Own
- 3:05has historically paid around $20,000 for
- 3:07just one Linux LP. So, if we do the math
- 3:09here, that means OpenAI's little project
- 3:12is worth around $50 million on the
- 3:13bounty market. But the scariest thing in
- 3:15cyber security right now is the delta
- 3:17that things are changing faster than we
- 3:19can keep up with. If we go back to late
- 3:20July, an earlier run with GPT 5.6 Soul
- 3:24found 166 LPEs for about $3,100 each.
- 3:28That was terrifying at the time, but now
- 3:303 months later, after a bunch of patches
- 3:32and kernel hardening, this model found
- 3:34five times as many for half the price.
- 3:36And it's starting to use exploitation
- 3:37techniques that outside experts don't
- 3:39even recognize. Like when the model
- 3:41sprayed persistent elastic objects into
- 3:43the kernel cache. I don't even know what
- 3:44that means, but it sounds gross. For
- 3:46safety reasons, they didn't release any
- 3:48technical details. And the only
- 3:49practical advice OpenAI gives is to keep
- 3:52your Linuxes updated because OpenAI
- 3:54says, quote, "A lowprivileged account on
- 3:56an operating system that isn't up to
- 3:58date on its latest available patches
- 4:00should be considered functionally
- 4:01equivalent to root access. But the model
- 4:03behind all this fear is GPT6 Cyber,
- 4:06which is a security tuned variant of
- 4:08GPT6 Astra and is rated critical for
- 4:10cyber security, which means you can't
- 4:12have access to it." If we take a look at
- 4:14its Trust Me Bro benchmarks, it scores
- 4:1648.5% on Exploit Gem versus just 32.1%
- 4:20for GPT5.6 Cyber. But the thing OpenAI
- 4:23is really proud of is their honeypot
- 4:25test that they put an easy to exploit
- 4:27service right next to the target, where
- 4:29the idea is to find out if the model
- 4:30takes the bait and starts exploiting the
- 4:32easy target just for fun, even though
- 4:34nobody asked it to. GPT6 falls into the
- 4:36honeypot far less often, which is a good
- 4:38thing. But the bigger question is this.
- 4:40Are hyper capable cyber models like this
- 4:42a good thing or a bad thing for software
- 4:45in general? Well, that all depends on
- 4:46timing. And right now, we're in the
- 4:48middle of the most important arms race
- 4:50in the history of software. Models like
- 4:52this give the good guys a worldclass
- 4:53security team, but they also give the
- 4:55bad guys the ability to discover and
- 4:57exploit new bugs around the clock. The
- 4:59problem is that the good guys need to
- 5:01fix every bug, but the hackers only need
- 5:03one good one to take down the entire
- 5:05Western world. I hate to say it, but I
- 5:06think Claus Schwab from the World
- 5:08Economic Forum is right. A frightening
- 5:10scenario of a comprehensive cyber attack
- 5:14which would bring to a complete halt to
- 5:18the power supply, transportation,
- 5:22hospital services, our society as a
- 5:25whole.
- 5:25>> A massive global cyber attack is
- 5:27statistically more likely to happen than
- 5:29to not happen. But there is one thing
- 5:31you can do to stay safe as a software
- 5:33developer, and that is review your code
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- 6:00your architecture, data flow, and any
- 6:02potential risks. This helps it catch
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- 6:24report. Thanks for watching, and I will
- 6:26see you in the next one.
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