Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Daniel Lawrence Lu visits San Francisco’s Muni Heritage Weekend—historic streetcars, museum cars, and notes on transit nostalgia and the city’s working rail heritage.
1 min · 329 words
Farid Zakaria on dynamic derivations and nondeterministic build graphs ahead of NixCon 2026—when a build step can roll dice, and what that means for caching and reproducibility.
7 min · 1,636 words
Who wins the 2026 AFL Grand Final? 72 AI models predict the result
We asked 72 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 43% picked Sydney. See every answer, who searched the web, and who dissented.
12 min · 2,797 words
Reversing the SH-4 fpu with the help of three AI models
Using three AI models to reverse-engineer approximate SH-4 FPU instructions (FIPR, FTRV, FSCA, FSRRA) for Dreamcast emulation accuracy.
10 min · 2,333 words
A detailed practitioner review of the V programming language covering syntax, tooling, performance claims, and where the language felt productive versus still rough around the edges.
31 min · 7,113 words
Commanders at Cowboys: 79 AI models predict the result
We asked 79 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 77% picked Dallas Cowboys. See every answer and who dissented.
16 min · 3,621 words
Fulham vs Manchester United: 78 AI models predict the result
We asked 78 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 77% picked Manchester United win. See every answer and who dissented.
16 min · 3,566 words
Bournemouth vs Liverpool: 79 AI models predict the result
We asked 79 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 94% picked Liverpool win. See every answer and who dissented.
13 min · 3,021 words
Deshittification Part 2: Bypassing the App Store Gatekeeper
Lari Huttunen continues a Smart TV reclaim project: after isolating an LG WebOS OLED behind OpenBSD, blocking ACR/ad DNS breaks the App Store—how WebOS couples apps to telemetry endpoints, and how to work around the gatekeeper.
5 min · 1,259 words
Trying the Software Factory Pattern
One of the interesting challenges of the AI ecosystem in 2026 is that new, effective patterns emerge faster than I can adopt them. I’ll find a handful, get back to work, and realize a month later that I’d missed four or five more. The adoption cycle for Imprint this year has been something like: - April: local development is bottlenecked on checkout and worktree model, instead create ~10 local workspaces which each have an independent checkout of every repository, and operate at the workspace level, not at the repository level, so it can generate cross-repository pull requests across…
4 min · 871 words
How Instinct's memory works: a reverse-engineering teardown
A black-box teardown of Instinct
15 min · 3,416 words
Comparing reflection capabilities of C++, Zig and C3
A side-by-side look at compile-time reflection in upcoming C++, Zig, and C3—how each language inspects types, enumerators, and struct members without runtime cost.
7 min · 1,568 words
Is using ChatGPT on homework cheating? what 77 AI models think
We asked 77 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 88% picked Depends who is asking. See every answer and who dissented.
16 min · 3,583 words
S3 Is the Future, S3 Is the Past
Amazon S3, and its analogues in other clouds, have become the foundation of the modern cloud software architecture. Today, nearly every data-intensive system is being built around S3. However, the hardware assumptions baked into S3’s design – and into all the software architectures that have emerged around it – are rapidly becoming obsolete.
3 min · 742 words
Warriors vs Knights, NRL semi-final: 75 AI models predict the result
We asked 75 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 85% picked New Zealand Warriors. See every answer and who dissented.
15 min · 3,388 words
No. 6 Ohio State at No. 9 Notre Dame: 77 AI models predict the result
We asked 77 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 62% picked Ohio State. See every answer, who searched the web, and who dissented.
17 min · 3,947 words
No. 13 Alabama vs No. 15 Ole Miss: 78 AI models predict the result
We asked 78 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 99% picked Alabama. See every answer, who searched the web, and who dissented.
13 min · 2,986 words
No. 4 Florida State at Clemson: 76 AI models predict the result
We asked 76 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 66% picked Clemson. See every answer, who searched the web, and who dissented.
16 min · 3,758 words
Own the Agent, Rent the Intelligence: Building My Always-On AI Agent Server
James M explains why a Mac mini M6 became his always-on Hermes agent server—routing hard work to cheap cloud models like DeepSeek Flash and Claude Sonnet instead of owning local inference hardware.
24 min · 5,439 words
What I learned From Managing a Bug Bounty Program
Aji walks through the real work of running a bug bounty: triage, severity calls that drive payouts, stakeholder management, and the judgment calls that paper workflows omit.
1 min · 324 words