Replying to @⁨return2ozma@lemmy.world⁩

The Epsteins and their Corps seem to be organizing/manipulating the information sphere to create fear/hype around their top models. It seem to be centrally coordinated and different US tech Corps/players enters and leave. We keep getting either exaggerated/fake or ‘woopsie’ security narratives thrown at us.

The normal purpose is to create fear/anger before a false-flag operation, so we’ll likely see many claims about AI-hacking and a single great hit (the flag) against the Merican people, that will point towards one of the nations that the US/Epsteins have manufactured consent to attack - likely Iran. Old playbook stuff with a new topic…

Wild that so many people are still stuck believing the information from the Epstein class’ owned information sphere.

…on the other hand, I wouldn’t want to BE the Epstein class when ~250M Mericans finally discover they got mind-raped for their entire lives…

Replying to @⁨return2ozma@lemmy.world⁩

Can anybody help me understand the threat of these advanced models once the public and adversaries have access to them? I understand they can find software bugs and vulnerabilities and I get that US tech companies are using it to make their software more secure, but all of these companies have the benefit of their source code being available as an input to the model. Everybody else only has compiled binaries. Do the bad guys use the models to decompile or reverse engineer the code first?

Replying to an earlier post

  • There are common techniques that can be used broadly to get results with LLMs.
  • Some source code is floating around out there, like it is mentioned in the article.
  • Yes, decompilation techniques are something that cannot be prevented and are sped up by LLMs.
  • There are only so many devs patching bugs, while there might be millions trying to break in - they mentioned the chaining of multiple “low"-priority bugs to escalate the severity, and if you need months to even get the really dangerous stuff fixed, it’s a free-for-all bonanza as soon as those models hit the public, and these people don’t even need to know anything about cybersecurity - Joe Shmoe can tell Mythos to “go hack Onedrive” and that’s all that is needed from Joe Shmoe.

Replying to @⁨RunningInRVA@lemmy.world⁩

One threat: people using the models are finding bugs and the more rare exploits at a much faster rate than before, perhaps 10x. This means that zero-day exploits are coming into the hands of the kinds of people who use them for bad purposes about 10x faster than they used to. It also means the white hats are creating these CVEs faster and people addressing the CVEs are able to do so faster, with the same manpower… so… if either side slows down, it will shift the balance we currently have toward their opponents.

Replying to @⁨HubertManne@piefed.social⁩

That’s not what they’re saying. They’re saying llms are getting so good at revealing vulnerabilities that they have to put focus and effort on finding and fixing them before external malicious actors do.

Yeah it’s faster to find a bug than to refactor a whole codebase to fix it, they’re still using llms to speed up fixing the bugs. If you believe them, anyway.

I do. Their software stacks were so shit and bloated and had many owners with different visions and understanding of what code does what and why and they rely on being closed source to survive penetration, I do believe llms are finding vulnerabilities left and right, and focused refactoring to address legacy human slop can take time, even for a super competent llm that does it correctly in one shot.

Replying to @⁨HubertManne@piefed.social⁩

its great at creating this busy work but not so much with fixing it

Actually, if you know what needs fixing, LLMs can accelerate the fixing process quite a bit too.

The problem is: LLMs don’t know what they don’t know, so they’ll declare “good enough” and it’s up to the LLM operator to call BS and give them additional context to ensure they keep going until ALL the applicable concerns are addressed.

Replying to @⁨HubertManne@piefed.social⁩

Finding the problems alone can be a hell of a useful tool. Doubly so when you have decades of tech debt and a mess of a project.

It’s also proving the point that a lot of people hate to admit is right. That if you just flag every bug in vulnerability out to everyone everywhere immediately and you don’t hide it behind bureaucracy in Goodwill.

Then it actually forces people to fix things. Cuz you either fix things or you go under.

Companies have gotten so used to scaring and threatening people into hiding vulnerabilities for so long that it’s become normalized. It lets bad practices and insecurities flourish and multiply.

You either fix your s*** or you don’t have problems in the first place. Those are your two options now. No more of this b******* hiding.

Replying to @⁨ragas@lemmy.ml⁩

It it is unsafe to code, full stop.

The things we’re expecting our code to handle, with the lack of formal verification testing we’re expecting our code to ship with, there’s no such thing as safe. It took 50 years to “build the stack” to where we’re at, and we did it fast and cheap. There’s so many bugs hiding in the lasagna it’s amazing it doesn’t eat itself.

If you re-build your system from first principles, open source silicon with peer review and constant scrutiny, then the BIOS, then the OS, then the application compilers, and the libraries, all open AND reviewed by multiple concerned parties with formal demonstration of correctness all the way up - the entrenched bug filled lasagna stack owners will smother you, they can’t withstand that kind of competition on an open playing field, your project will die of financial starvation, regulation, buyouts and treachery.

Replying to @⁨MangoCats@feddit.it⁩

All the shortcut technical debt is coming due, especially now that there’s a tool able to undertake mass analysis with fairly general rules.

It’s getting bad out there, and it’s not visible on the surface but a tsunami of bug reports and patches has been sweeping the internet and drowning anything unable to swim.

For anything that sinks underwater, metaphorically, they’re getting grabbed by automated sharks that are now actively on the attack. If you’re not rapidly fixing everything and monitoring everything closely you’re probably being eaten alive without knowing.

Replying to @⁨ragas@lemmy.ml⁩

Bragging about how product is at doing something is the easiest way to advertise product. No conspiracy theories needed.

They want you to use their LLM to screen your code for bugs. When you do that, you see how surprisingly well it works now and that leads to you wanting to also use it for generating code. That is when you realize that the 20 bucks starter subscription isn’t enough to actually use it professionally… which means, you upgrade and they get moar money.

Replying to @⁨curiousaur@reddthat.com⁩

Yep and even 1000 engineers with 10 years of time is still going to be wrong a hell of a lot. But that doesn’t matter. Even a tiny fraction of the bugs found being being real is enough to over load and flood out most projects.

Llms don’t have to be 100% right, even at 10% right there’s still too many bugs to fix. Decades of tech debt is being called in. And ain’t no body is ready for it.