11 July 2026

33 links · Saturday

The Dogfood Advantage

People often explain OpenAI and Anthropic’s velocity with culture, talent or capital. I think there is a more mundane compounding effect at play: dogfooding.

Lean Software Production

As AI accelerates software development, I see something emerging that I think needs a name. Excuse me for getting fancy, but I propose we...

Who is walking who?

One good way to annoy a neuroscientist is to compare an LLM to the brain. It’s appealing though! There are similarities! In infancy we take a complex fusion of sensory inputs and learn to make pred…

The Restraint Problem

Agent leverage doesn't fix your bottleneck, it moves it. When building gets cheap, volume detaches from value, and the scarce skill becomes restraint. What one operator learned running a company on a fleet of agents.

Can Nix Be a Better Arch Linux AUR?

If you have used Linux for a while, you have heard the warning. The AUR will eventually run untrusted code on your machine. It is true, and it is also why people look at Nix and wonder if its flake ecosystem could do the same job more safely. The pitch

Staying in the game

I’m four months into my interim CEO role at Bluesky, and it’s time for an update. Most importantly, as of today, the interim part of the title is gone. I’m loving the mission and …

Size does matter, actually

Anyone can create write an article here! Simply make a PR to the sherbert repo or ask us on Discord! Changes usually take effect within ~10min of being approved.

How my 2yo taught me constraint solving

My two-year-old son used a Brio wooden train set to explain constraint solving to his silly Dada.

Stop Looking for the Next Jony Ive

Every legendary designer was once a junior that someone took a chance on. Jony Ive became Jony Ive because Apple invested in his talent over many years—no...

Make Europe Cool Again

Heat now kills three times more Europeans than roads. A heat pump is a two-way air conditioner: cooling in July, heating in January, no imported gas.

two case studies of NaN

IEEE-754 NaN is weird. and because of that, it's often accidentally left unaccounted for. i found two instances of this leaking into programming language design. that is, the semantics of these languages hold implicit assumptions which break with NaN.

No, Qwen 27B Isn't Enough

A Hacker News thread said a 27 billion parameter model is all you need for real coding work. I’ve run that model against real codebases. It isn’t, and here’s the math on why.

Building intuition about LLM parameter counts

The percentage of parameters that are used by different parts of an LLM can be quite unintuitive. Here's a visualiser for the GPT-2 architecture.