Skir is a serialization framework presented as an alternative to Protocol Buffers, with simplified configuration in a single YAML file and support for mixed-language development stacks.
A personal account comparing NixOS and Arch Linux, detailing why the author abandoned NixOS after a year due to frequent breakage, excessive disk usage from dependency rebuilding, and long compilation times, ultimately returning to Arch Linux for simplicity and speed.
This is an interactive educational game/challenge about instructing a robot to make a peanut butter and jelly sandwich, designed to teach process thinking, precision, and completeness in instructions.
A personal essay about the author's experience working as a semi-professional baker at the Amundsen-Scott South Pole Station, describing the journey to Antarctica and the challenges of baking in extreme conditions at high altitude.
A humorous personal essay about 'Lil Finder Guy,' a mysterious mascot-like character that briefly appeared in Apple's TikTok posts for the MacBook Neo, with the author speculating about its nature and generating AI artwork of it.
This article discusses U.S. federal borrowing and deficit spending trends, reporting that the Treasury borrowed $50 billion weekly over five months in fiscal 2026. It is entirely focused on macroeconomic policy and government finance with no security relevance.
SWE-CI is a new benchmark for evaluating LLM-powered agents on long-term code maintenance tasks through continuous integration loops, shifting evaluation from static one-shot bug fixes to dynamic, multi-iteration codebase evolution across 100 real-world repository tasks averaging 233 days and 71 commits each.
A comprehensive technical deep-dive into the Web Public Key Infrastructure (WebPKI) system, examining how HTTPS certificate validation works, the history of certificate authorities, different certificate types (DV/OV/EV), and the complex social, political, and mathematical systems that underpin trusted web connections.
An investigation into Flock Safety's AI-powered license plate reader cameras reveals systematic accuracy issues, including a case where a misread "7" as "2" led to an innocent man being pulled over at gunpoint and mauled by a police dog. The company lacks transparent accuracy metrics and accountability mechanisms despite thousands of documented misreads affecting innocent people across the country.