Researchers have demonstrated that large language models (LLMs) can identify pseudonymous users across different social media platforms with high accuracy, potentially undermining online privacy and opening users up to risks like doxxing and targeted advertising. The study highlights the growing capability of AI to deanonymize individuals based on their online activity, even with limited information.
The recent security issues with Jack Dorsey's BitChat, a messaging app built on Nostr, underscore a broader trend of prioritizing 'vibe coding' – rapid development based on enthusiasm – over robust security practices in the tech world. The article details how BitChat's lack of end-to-end encryption and reliance on centralized servers created vulnerabilities, allowing researchers to intercept messages. This highlights a concerning pattern where developers rush to market with minimal security considerations, potentially jeopardizing user data and privacy.
This article explores how to run an agent on a federated learning architecture, discussing the benefits, challenges, and steps involved.
A drive for the United States' first major data privacy legislation has bipartisan support in the divided Congress ahead of a House of Representatives committee hearing on Thursday, though it faces criticism from businesses and privacy advocates.
