OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces.
Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...
Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online courses cover the full range of ...
Google has pushed Android 17 into beta, marking the first major release shaped by its new continuous Canary channel. The shift promises faster access to features, fewer rough edges, and a clearer ...
Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...
North Korea-linked Lazarus campaign spreads malicious npm and PyPI packages via fake crypto job offers, deploying RATs and ...
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The secret Python switch: How one flag makes your scripts run faster
Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.
Arduino is a microcontroller designed for real-time hardware control with very low power use. Raspberry Pi is a full computer that runs operating systems and handles complex tasks. Arduino excels at ...
This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
OpenAI’s new Codex Mac app passed 1 million downloads in a week, spotlighting rising demand for agentic coding tools and tighter free-tier limits.
How-To Geek on MSN
Build an infinite desktop on Ubuntu with Python and a systemd timer
Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.
OpenAI announced yesterday Codex Desktop, a new native macOS app that treats AI coding agents like teammates you can direct, review and set loose on long tasks.
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