this post was submitted on 13 Mar 2024
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Amazon's Hidden Chatbot Recommends Nazi Books and Lies About Amazon Working Conditions (www.404media.co)
submitted 8 months ago by Stopthatgirl7@lemmy.world to c/technology@lemmy.world
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An Amazon chatbot that’s supposed to surface useful information from customer reviews of specific products will also recommend a variety of racist books, lie about working conditions at Amazon, and write a cover letter for a job application with entirely made up work experience when asked, 404 Media has found.

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[–] Syn_Attck@lemmy.today 1 points 8 months ago* (last edited 8 months ago) (1 children)

Quite the spicy one aren't you. I see where you get your username from.

But yes, they exist, and so does the ability to defeat them by training the detection data into a new undetected model. Cat and mouse game, as they say.

Robust today, defeated ~~tomorrow~~ today.

[–] mods_are_assholes@lemmy.world -1 points 8 months ago (1 children)

So, what you're saying is you don't really understand how data security works then.

Because it's never a 'one and done', it's ALWAYS a cat and mouse game, ALWAYS.

Which is why antivirus companies push definition updates.

And now we do the same with AI detectors, or they become irrelevant.

[–] Syn_Attck@lemmy.today 1 points 8 months ago* (last edited 8 months ago) (1 children)

This is where I get to lol and say you don't understand AI.

When a kernel privesc vuln 0day is found and reported or caught in a dump, it gets fixed. Unless it was improperly fixed, that particular vulnerability can't be exploited again.

But when it comes to AI, a GAN's job is to take the 'vulnerability' that was 'fixed' and train on it to exploit it again.

And again.

And again.

And again.

https://en.m.wikipedia.org/wiki/Generative_adversarial_network

[–] mods_are_assholes@lemmy.world 0 points 8 months ago (1 children)

It's funny how people can just link to a wikipedia article about a ten year old thought experiment and think its some kind of mic drop moment. The current AI paradigm is starting to hit its singularity curve and hardly anything that old is anything more than a novelty and largely not applicable to current models, ESPECIALLY when it comes to modeling,

We aren't seeing this kind of iteritave adversity being used in actual real world attacks, and it is largely useless to train on a patched vulnerability.

But I'm sure you already knew that, maybe your testing me?