Browsing: Tools

Discover Fox Recap, a Firefox extension developed by college seniors at California State University, Monterey Bay. This personal productivity tool categorizes browsing history, tracks time spent on sites, and generates visual reports, all while keeping data private on your device. It offers users insights into their digital habits, promoting a better understanding of online activity.

GitHub has implemented post-quantum cryptography (PQC) for SSH Git connections, marking a significant advancement in securing developer workflows against potential future quantum computing threats. This initiative introduces the `dilithium3` algorithm in a hybrid configuration with existing classical SSH keys, offering enhanced protection for sensitive data.

The newly launched Mozilla AI Guide serves as a comprehensive resource for developers exploring AI, with an initial focus on language models. This guide demonstrates practical text summarization using open-source models, highlighting the importance of model evaluation, responsible AI practices, and community collaboration in the evolving AI landscape.

Explore the development journey of Meta Ray-Ban Display, Meta’s advanced AI glasses. This article delves into the unique challenges of designing wearable technology, from display innovation to user interface patterns. Insights are shared on the parallels between particle physics and hardware design, and the importance of recognizing incremental progress in a dynamic environment.

Firefox 145 introduces significant privacy upgrades to combat browser fingerprinting, a hidden tracking technique. These new protections build on Firefox’s existing Enhanced Tracking Protection and Total Cookie Protection, aiming to reduce user trackability by half. The browser now limits information available to websites, addressing pervasive fingerprinting methods while maintaining web usability.

Secure-by-default frameworks are designed to wrap potentially unsafe operating system and third-party functions, making security the default while preserving developer speed and usability. These frameworks closely mirror existing APIs, rely on public and stable interfaces, and aim to maximize developer adoption by minimizing friction and complexity. The integration of generative AI and automation further accelerates the adoption of these secure frameworks at scale, ensuring consistent security enforcement and efficient migration across extensive codebases.