This troubling ability could be used by scammers or to target ads.
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.
You must log in or register to comment.
A place to discuss privacy and freedom in the digital world.
Privacy has become a very important issue in modern society, with companies and governments constantly abusing their power, more and more people are waking up to the importance of digital privacy.
In this community everyone is welcome to post links and discuss topics related to privacy.
Some Rules
- Posting a link to a website containing tracking isn’t great, if contents of the website are behind a paywall maybe copy them into the post
- Don’t promote proprietary software
- Try to keep things on topic
- If you have a question, please try searching for previous discussions, maybe it has already been answered
- Reposts are fine, but should have at least a couple of weeks in between so that the post can reach a new audience
- Be nice :)
Related communities
Chat rooms
-
[Matrix/Element]Dead
much thanks to @gary_host_laptop for the logo design :)
- 0 users online
- 57 users / day
- 383 users / week
- 1.5K users / month
- 5.7K users / 6 months
- 1 subscriber
- 2.43K Posts
- 57.3K Comments
- Modlog
Machine learning is a surveillance technology.
I mean, can be used that way, can also be used to predict the stock market, or future climate. Just depends on the intent.
Thats like saying Tables are eating technology. It really depends on how its used.
I understood what you meant but first reading it it sounds like the tables are rather quite hungry and I think that is hilarious
It is overwhelmingly used to generate statistical models of human behavior.
True, but you can also use a hammer to smack a bagle. Its just a tool at the end of the day
Thats why i got my own one locally running on my hardware. Checkmate big corps hungry for more.
But how?
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.
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.
Never trust cloud based girls.
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?
I’m sorry, what?
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.
Could you explain more about your setup?
What software would one use if they wanted to do a similar thing?
Oogabooga makes running one locally pretty easy. At least for me with an 8GB nvidia GPU so models like llama and such fit.
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.
The original article contains 389 words, the summary contains 156 words. Saved 60%. I’m a bot and I’m open source!