Launch day for my first book. 371 pages on FreeBSD, from philosophy to practice. Subtitle: Why the Best Systems Are the Ones You Don't Notice, which one has had rather a lot of time to consider ironically over the last 72 hours. A field report from the publishing…

Hello, it’s me: I’m a generative AI vegetarian. The tech industry is convinced this is the future; I don’t want any of it, full stop. Why choose generative AI vegetarianism? Just like real-life vegetarianism, there are a bunch of good reasons.

High Performance Git by Ted Nyman, a book about Git internals and large Git repositories.

Open-source 2D IDE for managing AI agents in native CLIs, terminal, gits, beads issues, and files across multiple projects and machines. Self-host on a single machine via localhost OR host on a clu...

Contribute to hpennington/agentswift development by creating an account on GitHub.

out of spite

American capital financed AI on the assumption it would be the next great monopoly. Open-weight models are commoditizing the capability that monopoly was supposed to protect. The collision between the two now defines the direction of the U.S. AI industry…

Contribute to ftaip/waiting-game development by creating an account on GitHub.

All of the chain's standalone stores have stopped trading in the UK and Ireland.

We focus on foundational large models for embodied intelligence. LingBot-Vision, LingBot-Depth, LingBot-VLA, LingBot-World, LingBot-VA, LingBot-Video. 专注具身智能基础大模型：视觉基础模型、空间感知、VLA、世界模型、视频动作、视频基础模型。

Artificial intelligence is booming. Its heartland is not

Vibe coding is collapsing the distance between idea and deployment. But the real risk is whether your company has the judgment system to govern what AI can now build.

GTFOBins is a curated list of Unix-like executables that can be used to bypass local security restrictions in misconfigured systems.

Simons challenges the dominant story of AI-driven efficiency, arguing that the intelligence powering today’s systems is built from accumulated human interaction. As organizations automate work and offload thinking, they risk…

What does this vagueness by-design mean for how we choose to self monitor our biological markers?