There was a tool shared here that could show which accounts belong to the same person based on the writing patterns. Can't remember the name, but it found my old accounts on HN pretty accurately.
LLMs can unmask pseudonymous users at scale with surprising accuracy
21–30 of 78 posts
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#22Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
You are American, although you've discussed Ryanair before, which isn't exactly American. You have a number of comments and posts about Japan, which is strange, although you do drive a Japanese car.
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#23Earlier quoted context omitted.
I'm pretty sure they can use the meta data the pull from your various interactions with search and the text you post online. These services build fingerprints of your habits using these techniques to follow you everywhere. At some point in the chain they could easily connect this fingerprint to your identity as soon as you log into and account that contains a piece of identifying information about you. The threat is…
Who is they? Which services? From what I can tell, the article/paper in question does not appear to utilize any of the techniques you mention, but I'd be interested to learn more about it. > it's the nuances behind the way you type I found this paper which talks about some of those methods. https://www.audiolabs-erlangen.de/content/04_fraunhofer/assi... For example the "Text" section on page 91.
The big companies that sell prediction products to advertisers. Google, Amazon, Microsoft, Apple, Meta... all of them are involved. I didn't read the paper but this is a known method they have been using for awhile to track people across sites of many types from social networking to online shopping sites
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#24Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
40 year old software dev in Detroit Michigan?
Not that I care, and that could be wildly off, but opsec is a wide term… and Claude one shot that… so safe out there bro, AI is wild
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#25Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
I skimmed some of your comments, You seem to be in the US, at least mid30s, you bought a .dev domain and run your own email? I would think those are possible leads. You really don't think you slipped up once or twice in 5 years of posting? I think an llm would go through all your posts and context of the posts to get. and that would be easier to check if you used any other social media with the same name and see if the accounts have similarities.
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#26Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
You live on Earth. Now that I won let’s go double or nothing. I bet I can guess where you got dem shoes at.
He got them on his feet? He got them on the street?
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#27Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
You are American, although you've discussed Ryanair before, which isn't exactly American. You have a number of comments and posts about Japan, which is strange, although you do drive a Japanese car.
A JDM car, probably, to be precise. I think they lived in Japan for at least a little while, e.g.: https://news.ycombinator.com/item?id=44679406#44686142
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#28One solution is to flood the network with LLM slop and hide among the noise.
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#29There was a tool shared here that could show which accounts belong to the same person based on the writing patterns. Can't remember the name, but it found my old accounts on HN pretty accurately.
Hnprofile.com which has since closed down - lettergram was the author - https://news.ycombinator.com/item?id=17942981
Re: LLMs can unmask pseudonymous users at scale with surprising accuracy
#30Only if said users happen to commit OPSEC failures themselves. LLMs aren't magic... If someone can figure out who I am or what city I live in just by this username or my comments (with proof), I'll personally send you 500,000 JPY. I'm quite confident that's not going to happen though. The paper referenced in the article does not even explain their exact testing methodology (such as the tools or exact prompts used) be…
40 year old software dev in Detroit Michigan? Not that I care, and that could be wildly off, but opsec is a wide term… and Claude one shot that… so safe out there bro, AI is wild
I think Claude is guessing (educatedly - northern midwest does seem plausible). There's probably enough for the feds to track them down, but not me or an LLM.