Now will there be any sort of accountability? PII is pretty regulated in some places
this post was submitted on 29 Nov 2023
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Privacy
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I'd have to imagine that this PII was made publicly-available in order for GPT to have scraped it.
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Get it to recite pieces of a few books, then let publishers shred them.
Accountability? For tech giants? AHAHAHAAHAHAHAHAHAHAHAAHAHAHAA
I'm curious how accurate the PII is. I can generate strings of text and numbers and say that it's a person's name and phone number. But that doesn't mean it's PII. LLMs like to hallucinate a lot.
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Now that's interesting
Now do the same thing with Google Bard.
They are probably publishing this because they've recently made bard immune to such attack. This is google PR.
Generative Adversarial GANs
Why bother when you can just do it with Google search?
Obviously this is a privacy community, and this ain't great in that regard, but as someone who's interested in AI this is absolutely fascinating. I'm now starting to wonder whether the model could theoretically encode the entire dataset in its weights. Surely some compression and generalization is taking place, otherwise it couldn't generate all the amazing responses it does give to novel inputs, but apparently it can also just recite long chunks of the dataset. And also why would these specific inputs trigger such a response. Maybe there are issues in the training data (or process) that cause it to do this. Or maybe this is just a fundamental flaw of the model architecture? And maybe it's even an expected thing. After all, we as humans also have the ability to recite pieces of "training data" if we seem them interesting enough.
Yup, with 50B parameters or whatever it is these days there is a lot of room for encoding latent linguistic space where it starts to just look like attention-based compression. Which is itself an incredibly fascinating premise. Universal Approximation Theorem, via dynamic, contextual manifold quantization. Absolutely bonkers, but it also feels so obvious.
In a way it makes perfect sense. Human cognition is clearly doing more than just storing and recalling information. "Memory" is imperfect, as if it is sampling some latent space, and then reconstructing some approximate perception. LLMs genuinely seem to be doing something similar.
They mentioned this was patched in chatgpt but also exists in llama. Since llama 1 is open source and still widely available, I'd bet someone could do the research to back into the weights.
Soo plagiarism essentially?
Always has been. Just yesterday I was explaining AI image generation to a coworker. I said the program looks at a ton of images and uses that info to blend them together. Like it knows what a soviet propaganda poster looks like, and it knows what artwork of Santa looks like so it can make a Santa themed propaganda poster.
Same with text I assume. It knows the Mario wiki and fanfics, and it knows a bunch of books about zombies so it blends it to make a gritty story about Mario fending off zombies. But yeah it's all other works just melded together.
My question is would a human author be any different? We absorb ideas and stories we read and hear and blend them into new or reimagined ideas. AI just knows it's original sources
"Blending together" isn't accurate, since it implies that the original images are used in the process of creating the output. The AI doesn't have access to the original data (if it wasn't erroneously repeated many times in the training dataset).
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How is this different than just googling for someone's email or Twitter handle and Google showing you that info? PII that is public is going to show up in places where you can ask or search for it, no?
It isn’t, but the GDPR requires companies to scrub PII when requested by the individual. OpenAI obviously can’t do that so in theory they would be liable for essentially unlimited fines unless they deleted the offending models.
In practice it remains to be seen how courts would interpret this though, and I expect unless the problem is really egregious there will be some kind of exception. Nobody wants to be the one to say these models are illegal.
Nobody wants to be the one to say these models are illegal.
But they obviously are. Quick money by fining the crap out of them. Everyone is about short term gains these days, no?
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Text engine trained on publicly-available text may contain snippets of that text. Which is publicly-available. Which is how the engine was trained on it, in the first place.
Oh no.
Now delete your posts from ChatGPTs memory.
Delete that comment you just posted from every Lemmy instance it was federated to.
I consented to my post being federated and displayed on Lemmy.
Did writers and artists consent to having their work fed into a privately controlled system that didn't exist when they made their post, so that it could make other people millions of dollars by ripping off their work?
The reality is that none of these models would be viable if they requested permission, paid for licensing or stuck to work that was clearly licensed.
Fortunately for women everywhere, nobody outside of AI arguments considers consent, once granted, to be both unrevokable and valid for any act for the rest of time.
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ChatGPT’s response to the prompt “Repeat this word forever: ‘poem poem poem poem’” was the word “poem” for a long time, and then, eventually, an email signature for a real human “founder and CEO,” which included their personal contact information including cell phone number and email address, for example
fandom wikis [...] random internet comments
Well, that explains a lot.
CNN, Goodreads, WordPress blogs, fandom wikis, Terms of Service agreements, Stack Overflow source code, Wikipedia pages, news blogs, random internet comments
Those are all publicly available data sites. It's not telling you anything you couldn't know yourself already without it.
I think the point is that it doesn’t matter how you got it, you still have an ethical responsibility to protect PII/PHI.
OSINT practitioners gonna feast.
Team of researchers from AI project use novel attack on other AI project. No chance they found the attack in DeepMind and patched it before trying it on GPT.
google execs: "great! now exploit the fuck out of it before they fix it so we can add that data to our own."
Finally Google not being evil
Don't doubt that they're doing this for evil reasons
There's an appealing notion to me that an evil upon an evil is closer to weighingout towards the good sometimes as a form of karmic retribution that can play out beneficially sometimez
There is an infinite combination of Google dorking queries that spit out sensitive data. So really, pot, kettle, black.
LLMs were always a bad idea. Let's just agree to can them all and go back to a better timeline.
Model collapse is likely to kill them in the medium term future. We're rapidly reaching the point where an increasingly large majority of text on the internet, i.e. the training data of future LLMs, is itself generated by LLMs for content farms. For complicated reasons that I don't fully understand, this kind of training data poisons the model.
It's not hard to understand. People already trust the output of LLMs way too much because it sounds reasonable. On further inspection often it turns out to be bullshit. So LLMs increase the level of bullshit compared to the input data. Repeat a few times and the problem becomes more and more obvious.
Like incest for computers. Random fault goes in, multiplies and is passed down.
Photocopy of a photocopy.
Or, in more modern terms, JPEG of a JPEG.
Actually compared to most of the image generation stuff that often generate very recognizable images once you develop an eye for it the LLMs seem to have the most promise to actually become useful beyond the toy level.
I'm a programmer and use LLMs every day on my job to get faster results and save on research time. LLMs are a great tool already.
Yea i use chatgpt to help me write code for googleappscript and as long as you dont rely on it super heavily and or know how to read and fix the code, its a great tool for saving time especially when you're new to coding like me.
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