The text is about the legal case in Germany between LAION, a non-profit organization that collects images to train AI algorithms, and a photographer who wanted his images removed from LAION's database. The case is significant because it is the first time that an algorithm training repository has won a case against a copyright claim, and it may set a precedent for the future of AI and copyright law. The author argues that using publicly available content to train algorithms is beneficial and that copyright laws need to be updated to reflect the reality of data use in the digital age.

Original article is available in English on my Medium page, «LAION case could leave a lasting imprint«

This article, written by Enrique Dans, warns about the growing danger of “evil twin” attacks that use fake Wi-Fi networks to steal personal data. The author explains how these attacks work and offers tips to avoid them, including using smartphone network connections, carefully choosing public networks, and utilizing VPNs. Dans also emphasizes the importance of using a paid VPN with a no-logging policy, as free VPNs often collect and sell user data.

Original article is available in English on my Medium page, «Watch out for the evil twins when you’re out and about«