Zoe Skyforest writes about a collation by Ian Y.E. Pan of Emacs appearances in popular culture, spanning films, TV, anime, and comics. The list highlights how the classic *nix text editor has become a recognizable cultural touchstone alongside its rival vi, though it is acknowledged to be far from exhaustive.
- In *The Social Network*, Zuckerberg uses Emacs to write a website scraper
- *Silicon Valley* features Emacs more than once
- Japanese anime *Key The Metal Idol* includes an Emacs reference
- Hackaday invites readers to submit a similar list for vi
- In *The Social Network*, Zuckerberg uses Emacs to write a website scraper
- *Silicon Valley* features Emacs more than once
- Japanese anime *Key The Metal Idol* includes an Emacs reference
- Hackaday invites readers to submit a similar list for vi
Co11ateral writes about ShadowBroker, an open-source OSINT dashboard that aggregates live public intelligence feeds—aircraft and maritime tracking, satellite orbits, conflict reporting, GPS jamming, and more—into a single interactive map running locally via Docker. Built with Next.js, MapLibre GL, and a Python/FastAPI backend, it consolidates what would otherwise require juggling dozens of tabs into one prioritized view accessible at localhost:3000.
- Optional API keys enhance data; a language model agent can be attached to find correlations across feeds
- Telegram-sourced intelligence appears as red clusters on the map, often with attached media
- NASA VIIRS Nightlight and daily satellite captures are available as toggleable layers
- Antennas and Metastatic nodes are included, with the ability to tune in or send a message
- The project has been actively maintained for about six months with ongoing feature additions
- Optional API keys enhance data; a language model agent can be attached to find correlations across feeds
- Telegram-sourced intelligence appears as red clusters on the map, often with attached media
- NASA VIIRS Nightlight and daily satellite captures are available as toggleable layers
- Antennas and Metastatic nodes are included, with the ability to tune in or send a message
- The project has been actively maintained for about six months with ongoing feature additions
Luke James writes that California's legislature has passed Assembly Bill 1856, which provides an exemption for open-source operating systems from the state's Digital Age Assurance Act. The bill, which was amended by the Senate before passing with a unanimous vote in both chambers, ensures that software distributed under licenses like GPL, MIT, BSD, and Apache is not required to collect user age data during setup. This decision resolves uncertainty regarding whether Linux distributions or SteamOS would need to implement mandatory age verification alongside major platforms like Windows or macOS.
- The exemption applies because these open-source licenses allow recipients to copy, redistribute, and modify the software.
- Software components such as libraries and dependencies distributed through package managers (e.g., apt or pacman) are also excluded from being classified as "applications" under the law.
- Browser extension stores are carved out because they distribute add-ons that run within a host application rather than acting as standalone executables.
- The amendments removed a problematic definition of "user" that would have technically classified every device owner in California as a child.
- The exemption applies because these open-source licenses allow recipients to copy, redistribute, and modify the software.
- Software components such as libraries and dependencies distributed through package managers (e.g., apt or pacman) are also excluded from being classified as "applications" under the law.
- Browser extension stores are carved out because they distribute add-ons that run within a host application rather than acting as standalone executables.
- The amendments removed a problematic definition of "user" that would have technically classified every device owner in California as a child.
OpenReview is a self-hosted GitHub App developed by Vercel Labs designed to act as an automated assistant for pull request reviews. Triggered by mentioning `@openreview` in a PR comment, the tool uses Claude Sonnet 4.6 via the AI SDK to spin up isolated sandboxed environments where it runs actual project tooling ''such as linters, formatters, and tests'' to provide actionable suggestions or direct code fixes. It is deeply integrated with Vercel's infrastructure, utilizing Vercel Workflows for orchestration and Vercel Sandboxes for execution.
- Users can approve or reject agent suggestions using emoji reactions
- The bot supports custom review "skills" which can be added by placing files in a `.agents/skills/` directory within the repository.
- It requires integration with Upstash KV for storage during deployment on Vercel.
- The project is currently in beta and was originally built as an internal tool for the Vercel team.
- Users can approve or reject agent suggestions using emoji reactions
- The bot supports custom review "skills" which can be added by placing files in a `.agents/skills/` directory within the repository.
- It requires integration with Upstash KV for storage during deployment on Vercel.
- The project is currently in beta and was originally built as an internal tool for the Vercel team.
This repository provides the command-line utility suite for Kiwix, a set of tools designed to manage and serve ZIM files. The collection includes utilities such as `kiwix-manage` for library management, `kiwix-search` for full-text searching within ZIM archives, and `kiwix-serve` which acts as an HTTP daemon to deliver content offline.
- Primary command line tools include kiwix-manage, kiwix-search, and kiwix-serve
- The software is licensed under the GNU GPLv3
- Requires libkiwix and libzim dependencies for compilation
- Build system utilizes Meson and Ninja
- Primary command line tools include kiwix-manage, kiwix-search, and kiwix-serve
- The software is licensed under the GNU GPLv3
- Requires libkiwix and libzim dependencies for compilation
- Build system utilizes Meson and Ninja
Ground Station is an open-source, browser-based application for tracking satellites and celestial targets, controlling station hardware, and receiving, decoding, and recording SDR signals. Built for amateur radio operators, satellite enthusiasts, and researchers, it brings orbit visualization, multi-target tracking consoles, SDR waterfall analysis, packet and telemetry decoding, scheduled observations, and hardware management into a single web interface.
- Supports RTL-SDR, SoapySDR, UHD/USRP and virtual SigMF playback SDR
- Automated observations scheduled via APScheduler for AOS/LOS pass recording with rotator and Doppler rig control
- Frontend uses React, Redux Toolkit and Material-UI; backend uses FastAPI, Skyfield/SGP4 and Socket.IO
- Supports RTL-SDR, SoapySDR, UHD/USRP and virtual SigMF playback SDR
- Automated observations scheduled via APScheduler for AOS/LOS pass recording with rotator and Doppler rig control
- Frontend uses React, Redux Toolkit and Material-UI; backend uses FastAPI, Skyfield/SGP4 and Socket.IO
Pedro Cuenca writes Meta released Muse Glimmer-30B, a local, open-source multimodal model distilled from its larger Muse architecture. Designed for agentic workflows, it combines a 28B text decoder with a 2B vision encoder, supporting image, video, and multimodal tool calling out of the box. The release includes immediate compatibility with major inference frameworks like transformers, llama.cpp, and vLLM, alongside built-in speculative decoding for faster generation.
- Features a hybrid attention pattern alternating between three sliding window layers and one full attention layer.
- Incorporates a DFlash block-diffusion drafter to accelerate structured text generation like coding.
- Supports fine-tuning via TRL with practical minimums ranging from one to eight H100 GPUs depending on the method.
- Demonstrates autonomous agent capabilities such as self-quantization, self-deployment, and hardware-specific optimization.
- Features a hybrid attention pattern alternating between three sliding window layers and one full attention layer.
- Incorporates a DFlash block-diffusion drafter to accelerate structured text generation like coding.
- Supports fine-tuning via TRL with practical minimums ranging from one to eight H100 GPUs depending on the method.
- Demonstrates autonomous agent capabilities such as self-quantization, self-deployment, and hardware-specific optimization.
Asif Razzaq writes that NVIDIA Labs has open-sourced NOOA, a model-agnostic Python framework designed to streamline agentic development by consolidating prompt templates, tool schemas, and state into single class structures. By treating LLM-driven actions as standard methods with docstrings serving as prompts, the framework allows developers to build autonomous workflows that can be tested, traced, and version-controlled like ordinary software.
- Achieves 82.2% on SWE-bench Verified while using roughly half the tokens required by existing open harnesses.
- Employs a "pass by reference" mechanism for live Python objects via bounded previews to conserve context window space.
- Features an optional memory subsystem that utilizes SQLite and ACT-R activation ranking for record retrieval.
- Achieves 82.2% on SWE-bench Verified while using roughly half the tokens required by existing open harnesses.
- Employs a "pass by reference" mechanism for live Python objects via bounded previews to conserve context window space.
- Features an optional memory subsystem that utilizes SQLite and ACT-R activation ranking for record retrieval.
Microsoft’s POML offers a declarative way to manage complex instructions by using XML-like tags and CSS-style rules for prompt design. By separating content from stylistic parameters like tone and token limits, the system promotes modularity, reusability, and improved maintainability compared to manual string concatenation.
- Requires Python 3.10 or higher
- Facilitates cleaner version control through structured diffs in pull requests
- Enables non-engineers like product managers to contribute using familiar syntax styles
- Allows for model-agnostic structures that separate intent from specific API formatting quirks
- Requires Python 3.10 or higher
- Facilitates cleaner version control through structured diffs in pull requests
- Enables non-engineers like product managers to contribute using familiar syntax styles
- Allows for model-agnostic structures that separate intent from specific API formatting quirks
Dibakar Ghosh writes that Canonical has developed several open-source tools beyond Ubuntu to assist developers and infrastructure engineers at different scales of complexity. Multipass provides an easy way to launch lightweight virtual machines through simple command-line instructions, while Metal as a Service (MAAS) automates the management and provisioning of physical hardware via a web interface. Finally, MicroCloud simplifies private cloud creation by clustering multiple computers into a single pool for hosting containers and virtual machines with shared storage.
- Multipass avoids manual ISO downloads or driver configuration during VM setup.
- MAAS can deploy non-Ubuntu systems such as Fedora, Debian, or Windows using custom images.
- MicroCloud bundles LXD, MicroCeph, and MicroOVN to provide high availability for workloads across a cluster.
- Multipass avoids manual ISO downloads or driver configuration during VM setup.
- MAAS can deploy non-Ubuntu systems such as Fedora, Debian, or Windows using custom images.
- MicroCloud bundles LXD, MicroCeph, and MicroOVN to provide high availability for workloads across a cluster.
