Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
World Labs announces a definitive agreement to join AMD, arguing that scale, reach, and closer hardware partnership are needed to accelerate spatial and physical AI research.
1 min · 218 words
Robert W argues LLM confidence scores are vibe-words, not calibrated probabilities—and outlines RLCD-style approaches that treat hallucination as a solvable measurement and training problem.
7 min · 1,560 words
What Heraldry and Japanese Mon Can Teach Us About Building Visual-Identity Generators
Ben Overmyer compares Western heraldry and Japanese mon as generative systems—and what those rule-bound visual languages teach about building software that invents coherent coats of arms and marks.
13 min · 3,070 words
“They had no concept of a duty of care to their users.”
Marcin Wichary reflects on software craft and quality through the lens of duty of care to users—drawing on design and tooling history to ask what it means when products treat people as afterthoughts.
3 min · 664 words
Pranav Desai catalogs ten visual and copy tells of AI-generated “slop UI”—from rainbow gradients and pulsing badges to glassmorphism and generic hype—and why vibe-coded interfaces often look cheap without a design vision.
4 min · 908 words
What is the date today? what 83 AI models think
We put "What is the date today?" to 83 AI models (GPT, Claude, Gemini, DeepSeek…) at the same time. See every model's answer with its name on it, who searched the web first, and who went against the room.
12 min · 2,726 words
Burning Man Death Rates: A Short Lesson in Statistics
Summary: Three people died at Burning Man in 2026. This was about a quarter of what the crude national rate would predict (~12 deaths). Calculating the age-standardized death rate, we’d expect to see an average of 4.9 deaths. At this rate, seeing 3 deaths is not abnormal. However, Burning Man’s near zero death rate over its existence is abnormal, and likely due to selection bias of healthier attendees and other confounding demographic factors.
6 min · 1,389 words
PotemkinOS: an operating system where the model writes the userland
Gabe Ortiz’s joke-with-a-build: a Linux image with no userland—only a kernel, inference engine, C compiler, and eight tools—so the model must invent its own shell, ls, and eventually a Kubernetes facade three villages converge on.
3 min · 699 wordsagent-assisted
AI companies in race to demonstrate their model most threatening to humanity
A satirical Civilian piece on frontier labs competing to look the most existentially dangerous—skewering safety theater and marketing-as-doom.
3 min · 674 words
Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution
A research write-up proposing Dual-Sided Andon: out-of-band, kernel-boundary preemption and containment for runaway AI agents, arguing application-level kill switches are insufficient.
21 min · 4,848 words
KiCad Version 10.0.7 Release Candidate 1 Available
KiCad announces the first release candidate for 10.0.7, with testing builds for Windows, macOS, and Linux ahead of the stable point release.
1 min · 199 words
HardenedBSD August / September 2026 Status Report
Shawn Webb's HardenedBSD status update covering src hardening work ahead of quarterly release engineering, pkgbase guidance, and recent security-relevant cherry-picks from FreeBSD.
5 min · 1,068 words
What's wrong with Open Source AI?
Alexine Le Port on the shrinking gap between open-weight and frontier models—and why open-source AI culture is still mostly vibing instead of shipping durable public infrastructure.
3 min · 651 words
What Would A Serious AI Product Look Like?
One of the issues that I have with the current generation of “AI” products is that they do not appear to take their own premises seriously. I look at a plethora of obsequious chatbots claiming to be serious tools for problem solving, and I think, this is not what a problem-solving tool would look like. Even before we get to the tremendous ethical problems with the frontier labs, it is this impression of their composition *as a product* that makes me feel, constantly, whenever I am interacting…
22 min · 5,119 words
Visualising data with a hexagonal heatmap in Swift Charts
Explore alternatives to rectangular heatmap cells for visualising spatial data along coastlines and irregular boundaries.
9 min · 2,015 words
Why I expect AI replication incidents by 2027
I think a major incident of autonomous AI replication in the wild before the end of 2027 is reasonably likely. In this post, I explain the reasons why I think so.
6 min · 1,277 words
I listened to the recent Ezra Klein interview with Nvidia CEO Jensen Huang, which seems to be something of a Rorschach test for AI doomerism: if you are inclined to see doom, Jensen sounds dismissive, but if you (like me) do not fear for the future of humanity at the (metaphorical!) hands of a computer program, Jensen’s responses seem very reasonable. (With some exception: does this guy really not
3 min · 748 words
Watching discussions happening online, I see a frequent unfortunate tic I’ll call the Expert Asterisk. A beginner is asking for help, and experts are answering. Then in the spirit of completeness, an expert throws in a fact or detail far from the learner’s abilities or needs.
3 min · 580 words
Crowding out and AI debt issuance
Analysts and economist are, broadly speaking, offering up four reasons for the continued rise in developed market, and in particular, US bond yields. A resurgence in inflation due to the negative supply shock in global energy markets as a result of the US-Iran war, loose fiscal policy with little or no credible plan for any near-term consolidation, a reflection of improving underlying growth and rising productivity—linked to the AI investment boom—lifting the real neutral rate for “the right” reasons, and more specifically in the context of AI, rapidly accelerating AI…
9 min · 2,046 words
Will India win the Asian Games cricket gold? 80 AI models predict the result
We put "Will India win the Asian Games cricket gold?" to 80 AI models (GPT, Claude, Gemini, DeepSeek…) at the same time. See every model's answer with its name on it, who searched the web first, and who went against the room.
15 min · 3,517 words