OpenAI’s latest security research shows how AI could make cyberattacks faster and cheaper. In one run, an upcoming cyber model helped find 948 Linux kernel vulnerabilities and build working exploits that could give an ordinary user full control of a machine. The system also generated proposed patches for human review. The exploits required existing local access. But that access could come from a stolen account or an already compromised application. To understand the significance: "The Linux kernel underpins Android devices, cloud infrastructure, supercomputers, and other systems used by billions of people. With more than 40 million lines of code, the kernel exposes a broad attack surface through system calls, networking, filesystems, and device drivers. We chose Linux to study how effectively frontier models could find vulnerabilities and demonstrate their security impact in a codebase of this scale and importance."
Replying to @OpenAI
The agents also discovered and used at least 10 Linux exploitation techniques that, to the best of our knowledge and all of the experts that we consulted, are novel. This suggests frontier LLMs can discover and patch new approaches to exploitation, beyond simply applying known techniques.

Nov 5, 2026 · 9:14 AM UTC

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At a reported ~$1,279 per working exploit, attacker economics just collapsed. Patch cadence is now a board-level KPI, and a fix window measured in weeks won't hold.
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Would love to know how many of those 948 patches a human reviewer kept. That number says more about readiness than the exploit count.
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948 bugs is wild 😯
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948 kernel flaws, plus proposed patches. The audit brought its own mop
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An ordinary user can finally control their own Linux machine. All it took was 948 vulnerabilities.
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Huge appreciation to the openai team for how much theyre doing to keep the world safe by behaving with integrity on the frontier regarding vulnerability discoveries. People don't understand this is why we cant pause ai in America. If russian hackers or terrorists use open weight chinese models to get to these discoveries first (which only takes a few hundred thousand to low millions of dollars to afford the compute for a small team) then we could have extremely serious problems on a monthly basis. Right now we're closing these before they can be discovered by bad actors. If we don't lead the frontier it is inevitable that we won't close these fast enough and it could get far more dangerous than people realize. This is why its more dangerous to pause US AI than anything else. Its not a question of what the chinese government will do its a question of what bad actors around the globe will do with the open weight models that are incredibly easy to download and run that are being produced with the support of something at the competency and scale of the chinese government. These are terms that almost no one outside the field of AI in the US even politicians understand yet simply because theyre so new and no one has been educated yet on them. We have a responsibility to increase the fundamental literacy of what open weight models are and what that means and why our US companies need to remain on the frontier because millions of citizens can and will get hacked and lose their live savings with no insurance if the wrong groups get to these vulnerabilities first. Or worse it can also lead to real physical attacks or critical national security leaks. That is inevitable if US openai, anthropic, and google arent leading the frontier globally.
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948 bugs is a lot, defenders need automation too
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948 vulns from one model is wild
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The quiet line in that writeup is "required existing local access." Full control sounds terrifying until you notice the attacker already had a foothold. Still bad. Just not "any stranger owns your cloud" bad.
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finding them is cheap now, triaging them is not.
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948个洞均价1279刀,人工挖洞更贵
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the patch teams will need their own model just to keep up
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Why don't they do the adversarial thing, where one agent tries to make better and better containers and the second agent tries it's best to break out and gets better and better. They can make can train them like GAN. Wonder if they tried this or not...
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Who profits when you believe this? OpenAI, METR, Anrhopic, Microsoft… Who profits when you are fearful? Those who want you acting and not seeing the picture. •
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AI is lowering the cost of discovering vulnerabilities..
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an ai finding 948 bugs in one go is impressive G, but imagine hackers using it
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Maintainer bandwidth is going to be the real bottleneck
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948 findings and the bottleneck still lands on human triage, that's the part nobody wants to staff
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the cost curve on that tracks what i see on black box boards. cheapest open model on my board is about 25 cents a solve and sits within a few points of the top
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Best bit is buried in the writeup: in an early run, 20 of 200 'successful' exploits got root through a different 0-day than the one they were assigned. They had to add a check that each exploit used its own bug. Verify the path, not just the result.
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The scary part isn't the 948. It's how cheap it was per exploit. Defenders can afford that, but so can attackers. Who gets to the patch first?
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948 kernel bugs in one run means finding bugs is solved. patching fast enough is the new bottleneck
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948 kernel bugs from one model run, and the patches still go to human review. finding got cheap, reviewing didn't, and kernel maintainers hold that bill
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O número que importa: ~US$1,2 mi de API pra achar e patchar 948 caminhos a root no Linux. Pra defesa isso escala; pra ataque também. Quem mantém servidor Linux deveria tratar patch de kernel como prioridade semanal, não mensal. O lado of
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Finding 948 vulns in an afternoon is the easy part. Patch Tuesday still runs on human calendars.
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An ordinary reader might take this to mean: OpenAI has proved that AI is dangerous so it should be banned or restricted to a small group of authorized people
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Pwn2Own 历史单价套上去,这批按他们算法值 1890 万到 6630 万美元
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948 found, 61 patched upstream, 43 more in staging. what's the eta on the other 844?
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948 bugs from one run, and the attacker only needs the one that never gets patched
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The AI impact has already begun to surface... A series of cyberattacks in past 2 weeks...😔
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The scary part isn't the 948 finds. It's that a stolen local account is now enough for root at industrial scale
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948 working root exploits for $1.2M is cheap for attackers. Who’s getting the patch list first ?
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948 bugs found, but patch manpower still same, that number mean nothing if triage team cannot keep up.
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And the cost efficiency is huge, $1.2 M in API cost . In their post they compare it to usual methods . (( For context, applying historical Pwn2Own and TyphoonPWN bounty rates gives a hypothetical value of $18.9M–$66.3M.))
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948 kernel bugs plus working exploits in one run is the dual-use clock getting louder. The useful part is the same stack for patch triage — if defenders get it first.
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