A isFavorite: Bool is the most violent compression anyone's ever done to a feeling. "I loved that shot of espresso on a rainy Tuesday when the grind finally clicked" gets crushed down to a single byte. The heart icon is a one-byte shrine to a memory it can't actually hold.

The sad, nerdy part is that we know one byte is nowhere near enough to be true, and we also know it's exactly enough to be useful. So we ship it. A real model of why you loved something can't be computed, and even if it could, nobody's tapping through twelve screens to log it. A faithful record of the feeling is useless. A sliver of a truth you can query is gold. That's what a favorite button really is. A quiet admission that we'd rather keep a searchable lie than an unsearchable truth.

And that's most of data modeling, honestly. The question is never "how do we represent reality?" It's "how much of reality can we throw away before the query stops coming back?"

PS: A Bool is represented using a byte in most languages as opposed to a bit because the CPU can't directly address a bit.

Amdahl's Law says the speedup you get from throwing more workers at a problem is capped by the part that can't be split. You can run a thousand agents in parallel and still sit there waiting on the one commit that has to happen in order. It's the same as a company hiring a thousand engineers and still grinding to a halt because one person/team understands the deploy script.

Parallelism doesn't kill the bottleneck. It just clears everything else out of the way until the bottleneck is the only thing left standing, lit up, impossible to ignore. The more you speed up the easy parts, the more obvious it gets that the slow part was always the drag.

Most of what we call "scaling" is just elaborate work to avoid looking straight at the one step we never wanted to deal with. We'll automate, distribute, and optimize around it forever, because that feels like progress, and staring at the actual problem doesn't.

Solving and optimizing for that is the real efficiency-unlock.

I’ve landed on a simple rule. Generative models handle the mundanity in my life: whatever bores me.

If the task needs my mind, my mind does it. That’s my guardrail against a certain quiet atrophy.

The creative, exciting, emotional, problem-solving parts are worth keeping for myself. That’s the human experience I won’t give up on.

Apple’s Spatial Scene does again what Live Photos did for photos: adds another dimension to memories.

Only gripe: mirrors break the illusion. Reflections stay flat, glitching like a game whose graphics engine is just slightly off.

AutoMix on iOS 26 Apple Music is surprisingly very good!

Live activities on Mac is a welcome addition

AI coding tools are the new LEGO for adults. They are so much fun, and have truly shortened the gratification loop for hobby projects!

Jottings.me now supports cache-busting and custom tags in headers!

(3/3) At the foundation are two levers: compute and the supply chain that feeds it—energy, water, bandwidth, silicon. Models will commoditize; differentiation shifts to orchestration, data, and the scale and efficiency of compute. In industrial-revolution terms, more compute is simply a larger labor force—only this time, the workers are digital.

(2/3) That moment marks the birth of an AI-native operating system—AIOS. The intelligence allocates and controls compute across local devices and the networked cloud. Interfaces stop being fixed artifacts. Each “OS” is generated for the person using it, shaped by their goals and the resources at hand—not by a handful of vendors or a static FOSS baseline. Hyper-local. Hyper-personal. Whatever the user needs, within what the system can supply.

(1/3) The era of live, fully AI-generated app experiences is close. You state an intent; the system comprehends it, plans the work, queries and fuses data from many sources, and responds in whatever form fits best—text, voice, visuals, or something new. Caching won’t just store outputs. It will preserve entire execution graphs: the plan, the data stitching, and the interface itself.

Do you want a personal microblog just like mine? Jottings.me is live! 🚀

Reach out to me to reserve your username and get your own microblog!

Jottings now emits 3 feeds! Follow for updates! RSS 2.0: /rss.xml Atom 1.0: /atom.xml JSON Feed: /feed.json

NextHub v1.1.1 is out! Finally has support for dark and tinted icons along with the default light icon

ControlHub v1.1.0 is now live on the App Store! Biggest new feature: Live logs! 🚀 Download on the App Store

Check out Meld. It's a dynamic, multi-parameter, random mesh gradient generator built for grins and giggles. Works on browsers except Safari. Make as many wallpapers as you want! Check it out at meld.nihil.codes

Meet Jottings: my tiny corner of the internet for quick thoughts. My own microblogging platform, if you will. No likes. No retweets. No trending hashtags. No algorithm trying to engage you. No performative threads. No strangers screaming into my timeline.

Just me, jotting down whatever crosses my mind. The only echo chamber here is my own—and I like it that way.

Think of it as my blog Musings' scrappy younger sibling—shorter, sharper, and with no filter.

What's even better is having a team of subagents on claude ranging from architects, product spec managers, specific technology exprts, debuggers, auditors, network engineers, and more, each specifically configured to use Opus or Sonnet based on need.

Claude code's Opus Plan Mode is a welcome addition!