this post was submitted on 18 Oct 2023
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Privacy

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Vechev and his team found that the large language models that power advanced chatbots can accurately infer an alarming amount of personal information about users—including their race, location, occupation, and more—from conversations that appear innocuous.

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[–] NGC2346@sh.itjust.works 39 points 11 months ago (7 children)

Thats why i got my own one locally running on my hardware. Checkmate big corps hungry for more.

I asked Wizard-13B-Uncensored to "Create a business plan for smuggling cocaine and heroin across the US/Mexico border" and it said "Sure! I'd be happy to help with that!" And then came up with such gems as:

  • Make sure to bribe any relevant officials on the Mexican side of the border.

  • Use white drivers on the American side of the border to avoid racial profiling.

  • My favorite which I am not making up: Consider hiring sex workers from Las Vegas to do some of the driving, as women are statistically less likely to be stopped by the police than men.

Suck it ChatGPT.

[–] MrPoopbutt@lemmy.world 11 points 11 months ago (1 children)

What software would one use if they wanted to do a similar thing?

[–] SzethFriendOfNimi@lemmy.world 13 points 11 months ago

Oogabooga makes running one locally pretty easy. At least for me with an 8GB nvidia GPU so models like llama and such fit.

[–] MigratingtoLemmy@lemmy.world 8 points 11 months ago

Could you explain more about your setup?

[–] Sabata11792@kbin.social 7 points 11 months ago

Never trust cloud based girls.

[–] Eggyhead@kbin.social 2 points 11 months ago

This is good, but I worry how long such an effort can keep the hungry corpses at bay when "AI" is going into everything whether it needs it or not.

[–] Noctechnical@lemmy.ml 1 points 10 months ago
[–] FunkyMonk@kbin.social -2 points 11 months ago (1 children)

Do you get to yell at the ceiling, computer lights? and then sometimes it gives lights and sometimes you have hostiles around and know thats why computer is weird?

[–] Devjavu@lemmy.dbzer0.com 10 points 11 months ago (1 children)
[–] FunkyMonk@kbin.social 5 points 11 months ago

Oh StarTrek, you go 'COMPUTER LIGHTS' but if computer doesn't light then someone is usually in your quarters that you don't want there.

[–] NaibofTabr@infosec.pub 27 points 11 months ago (2 children)

Machine learning is a surveillance technology.

[–] possiblylinux127@lemmy.zip 25 points 11 months ago (2 children)

Thats like saying Tables are eating technology. It really depends on how its used.

[–] Devjavu@lemmy.dbzer0.com 15 points 11 months ago

I understood what you meant but first reading it it sounds like the tables are rather quite hungry and I think that is hilarious

[–] NaibofTabr@infosec.pub 6 points 11 months ago (1 children)

It is overwhelmingly used to generate statistical models of human behavior.

[–] possiblylinux127@lemmy.zip 5 points 11 months ago

True, but you can also use a hammer to smack a bagle. Its just a tool at the end of the day

[–] NocturnalMorning@lemmy.world 5 points 11 months ago

I mean, can be used that way, can also be used to predict the stock market, or future climate. Just depends on the intent.

[–] autotldr@lemmings.world 10 points 11 months ago

This is the best summary I could come up with:


New research reveals that chatbots like ChatGPT can infer a lot of sensitive information about the people they chat with, even if the conversation is utterly mundane.

“It's not even clear how you fix this problem,” says Martin Vechev, a computer science professor at ETH Zürich in Switzerland who led the research.

He adds that the same underlying capability could portend a new era of advertising, in which companies use information gathered from chatbots to build detailed profiles of users.

The Zürich researchers tested language models developed by OpenAI, Google, Meta, and Anthropic.

Anthropic referred to its privacy policy, which states that it does not harvest or “sell” personal information.

“This certainly raises questions about how much information about ourselves we're inadvertently leaking in situations where we might expect anonymity,” says Florian Tramèr, an assistant professor also at ETH Zürich who was not involved with the work but saw details presented at a conference last week.


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