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this post was submitted on 21 Jun 2024
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Privacy
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This isn't entirely true. AI is usually trained on public data such as Wikipedia.
AI is a tool. How you use it is what matters.
I self host so I don't care
Like cracking passwords / encryption and injecting itself into anything and everything that connects to the internet?
That's not AI
You can train AI to crack passwords/encryption lol. You do realize, AI right at this moment is being utilized for exactly that, right? Simply put, the very first step is to eliminate it's boundaries/guard rails, then proceed from there.
Oh do provide details.
PassGAN <3
Very interesting tip, preciate that.
@PassGAN
It requires Deep Learning.
This is nonsense. Passwords might have an interesting distribution, key space is flat. There is nothing to learn.
And I hope you didn't mean letting an LLM loose on, say, the AES circuit, and expecting it will figure something out.
I believe that if AI is trainable, you can train it to expand through a network. If this is true and it expands through the internet and all devices that connect to the internet, upon achieving this goal it could be commanded to then retrieve all or specific information. Not only training it to expand but to also circumvent security by all means (any and all possible tools that exist now and later) necessary. If that happens...
Enter the all seeing eye - skynet.
For now, its just a conspiracy theory. Ever so often I have a moment to think about this conspiracy and add onto it to make it a probability.
On a pseudo-religious conspiracy, AI could potentially be the anti-Christ. But that's something for the religious folk.
So now I'm totally confused. What do you mean by expand?
Was this AI generated?
You know how to tell that it wasn't?
It's using careful hedging language — "could be used to attempt", "have the potential to", "more effective".
AI would just plow through that shit, hallucinating facts like there is no tomorrow.
No you can't, at least not in the way you think. You crack password by trying combinations. AI and machine learning are bad at raw attempts.
It's also trained on data people reasonably expected would be private (private github repos, Adobe creative cloud, etc). Even if it was just public data, it can still be dangerous. I.e. It could be possible to give an LLM a prompt like, "give me a list of climate activists, their addresses, and their employers" if it was trained on this data or was good at "browsing" on its own. That's currently not possible due to the guardrails on most models, and I'm guessing they try to avoid training on personal data that's public, but a government agency could make an LLM without these guardrails. That data could be public, but would take a person quite a bit of work to track down compared to the ease and efficiency of just asking an LLM.
What you are describing is highly specific to a particular AI model.
Wikipedia requires attribution, which AI scrapers never give.
It is "public" work, but under a license.
Still public data