Active AUR malicious packages incident 2026-06-12 - Campbell Jones We are currently experiencing a high volume of malicious package adoptions and updates in the Arch User Repository. We are actively working to track down existing malicious commits and attempting to prevent additional malicious commits from being pushed. While this is happening, and while we work to create a more permanent solution, users may see issues with the following: Creating new accounts on the AUR Pushing package updates Adopting or creating new packages We continue to encourage all users of AUR packages to review all PKGBUILD and install script changes when updating, especially during this time. If you notice suspicious commits to a package that you use, please reach out to Arch staff via the aur-general mailing list with more information. Copyright © 2002-2026 Judd Vinet, Aaron Griffin and Levente Polyák. The Arch Linux name and logo are recognized trademarks. Some rights reserved. The registered trademark Linux® is used pursuant to a sublicense from LMI, the exclusive licensee of Linus Torvalds, owner of the mark on a world-wide basis.

The three magical days we had with Claude Fable 5

Apple this week confirmed that Notion is migrating its user interface to SwiftUI, citing the app's desire for greater performance and UI consistency than its existing web-based stack can deliver. Notion is a productivity app that combines notes, documents, databases, and project management tools in one place. Users can create pages containing text, tables, kanban boards, calendars, and more, and organize them in a flexible hierarchy.

Introducing deep_causality_haft, a library for Higher-Kinded Types (HKT) and Type-Encoded Effect Systems in Rust.

Our response, as a frontier AI research lab, to the US ban on Fable 5 and Mythos 5.

“Quasi-random” network topologies and new passive optical components called ShuffleBoxes make more-efficient flat networks as practical as traditional “fat-tree” networks.

A fully featured Markdown renderer for React

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

A glossary of common animation patterns, so you know what to ask for.