@Richard Carroll
Catholic, Southerner, and bibliophile.
Relays (1)
- wss://relay.ditto.pub – read & write
Recent Notes
@Nozaki 🇦🇱 no idea. I follow people who talk about politics but no news accounts so I’m always having to puzzle together what everyone is talking about.
Sure, I’ll read a salacious story about a Chinese poet-murderess: https://bodenlos.substack.com/p/yu-xuanji
I can’t believe Legalists are out there blocking @Coffee with Confucius , SMH.
nostr:nprofile1qy2hwumn8ghj7un9d3shjtnyd968gmewwp6kyqpqpgl852z5evkp60q0u3k70wq9ak3dtnjzha7d4m6ktvvl8aapg82q0hle9r nostr:nprofile1qy2hwumn8ghj7un9d3shjtnyd968gmewwp6kyqpqlyu8z7emd64r9grstemj3vsee8tr9xn...
@Sinistra delenda est. @Mysterious charmer specific info, like living in the same area or having the same job. That said, matching on prose style is probably coming.
@Mysterious charmer for the sake of testing, yes. The current state of these techniques is probably less advanced than the ideal conditions in the experiment, but still: AI can link compartmentalised accounts if you have some corroborating info on each of them.
This is basically how many people have been doxed in the past, and AI will certainly make it easier.
This is basically how many people have been doxed in the past, and AI will certainly make it easier.
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TL;DR: We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, our method identifies users with high precision – and scales to tens of thousands of candidates.
He means “pseudonymous,” but regardless: remember to be conservative about how much personal information you share online, fellas.
https://simonlermen.substack.com/p/large-scale-online-deanonymization
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