We have a year to fix security everywhere
GLM 5.3-flash, an open-weight model from Z.ai, is now cheap enough to run locally on consumer hardware and capable enough to exploit real-world vulnerabilities, with refusals removed by abliteration. This means anyone can run automated cyberattacks at scale. Meanwhile, Anthropic's Project Glasswing and OpenAI's Daybreak are racing to patch vulnerabilities before the window closes, but the bottleneck is deployment, not discovery. The post urges governments and regulators to fund security engineering, mandate frequent testing, and prioritize remediation over bans.
It doesn't help to have a patched Linux kernel if your power grid is running Windows Server 2012.
- kennywinker
I'm confused why the worry about LLMs that will answer "how do I build a pipe bomb". That information is easily available other places. The anarchist cookbook has been around and available for 55 years, and yet pipe bombs are not going off all around us.
- sho
> On September 22, Apple is releasing the M5 Mac Studio with 256 GB of unified memory [..] it will probably [..] enough to write this snippet of code in 3 seconds
The author has obviously never ran an LLM on a mac! In 3 seconds, it will have possibly started to think about maybe scheduling a date to contemplate the planning timeline for processing the second token in your prompt.
- archi42
Zzzzz, we should have gotten security right a few decades ago. But security costs money and isn't a flashy feature to attract new customers, or cuts into your margin if you're a "real" business producing stuff or offering some service. Or whatever the decision makers in Berlin were thinking when they ignored security.
Yeah, we would still see hacks, but we would see less of them if security wasn't optional.
Maybe the AI craze helps by forcing more decision makes to see security as imperative, and by giving us another powerful tool for our tool box.
N.b.: I work in the security industry, our customers obviously want to improve their security. We've been seeing an uptick in awareness, but that's mostly due to NIS2 and other legislative efforts. Those force them to do something. AI is a curiosity for small talk to many of them.
- pmlnr
Here's an idea: as a first step, simplify everything, and make sure you're aware how your stack works, and what it imports.
As an example: WordPress is a horrible thing, but the core has been through so much, that it's suprisingly secure. Then plugins and themes come, and whoosh, the security is gone.
We need a new KISS: keep it simple, stupid, secure.
- simonw
I don't think we even have a year. The current batch of LLMs are ferociously good at identifying vulnerabilities.
- aenis
I think we have less time and the only remaining limitation is the actual cost to run such hacking campaigns. It does not appear expensive, but is not free, and there is a LOT of things to scan for vulnerabilities.
The models are already here, and one can rent a GPU cluster to run such workloads at speed - no need to play with slow local machines. I'd assume one can host the thinking at an unsuspected public cloud provider, proxy the network traffic to some botnet to evade blocking - and the only thing remaining is time and cost.
I do wonder what tools exist for boring, legitimate companies to try and do the same to their own systems to find the vulnerabilities before the bad guys do. The paradox here is I can't run a de-restricted chinese model with the same tools that hackers are using - but I think enterprises actually HAVE to do it in order to stand a chance in preparing for the onslaught.
- hypfer
> This probably sounds like nonsense words or hysterical overreacting to most people, so here's what that means: "GLM" is a kind of LLM (AI) [...]
The post also sounds like that to people that understand the technology.
Calling that out like this and trying to pin that assessment to lack of knowledge is not a get-out-of-jail-free card, nor a good move.
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Edit: Having spent some time letting the article marinate in my mind.
On the defending side, it is written that
> LLMs are good at writing patches, but not as one-off-prompts.
But this for me kinda conflicts with what is written on the attacking side:
> GLM 5.3-flash is so good at those tasks that human involvement in those tasks can be negligible. As a result, we are now in a world where cybersecurity attacks can be run in a for loop.
What is it? Can it be this autonomous terrifying entity or can it not be?
Yes, yes, attackers only need to win once, whereas defenders need to win every time, but that's not my point.
- mentalgear
1 year left for cybersecurity hardening, I thought so as well. The issue is, even if we get it done: in 1 year the models will be so good in social-engineering that they will be able to extract any information they want anyway. Happy to be falsified here, if anyone has evidence-based arguments.
EDIT: by social-engineering I mean for example: recon company structures, gathering and merging people's data from the dark-web, then using it to bribe/pressure/deceive users.