







Chabbb why are we all in this Port-a-Potty?
Sundae Labs PBC
We, the makers of the machines, are more than the sum of our parts. Let’s domesticate tech to aid human flourishing.

What's Wrong With This Idea?
One of my favorite questions is: “What’s wrong with this idea?” It drives the conversation away from why the idea is great, and toward finding its flaws. That is invaluable in technology.

Notes from the Mystery Machine Bus - Steve Yegge
Notes from the Mystery Machine Bus - Steve Yegge · GitHub

Automation is coming for the gig economy
A safety net for people who have fallen out of the formal labour market is being dismantled

Life With Machines | Substack
A cultural movement (and show) for people who want to live well with AI, not just endure it. Bringing clarity, critique, curiosity (and some comedy) to the AI discourse. A production by Baratunde. Click to read Life With Machines, a Substack publication with thousands of subscribers.

Why Tech Needs Personalization
Every weekend, my good buddy Hiten Shah and I head to The Coffee Movement’s Balboa Street location. They make a nice pour-over. And while it’s about a half-hour&n…

Close to the Metal — Real Life
The value of reintroducing friction into our interactions with computers


German Cities Are Solving The Age-Old Public Toilet Problem - Fast Company
Paying businesses to allow access to their toilets, rather than trying and failing to maintain public ones on the street, is such an obvious and such a brilliant idea.

Making Roomy More ATProto-Native - Zicklag's Leaflets
We've said Roomy's server was like a PDS, but what if it actually was a PDS?
The more we rely on tech, the more we deskill our bodies | Aeon Essays
We are, moment by moment, doing less sensing, navigating, remembering, walking, choosing, and attending

The World's Most Satisfying Checkbox | !Boring Software
The Art of Game Feel (a.k.a Juice) in Product Design


Thrilled to be sharing my latest work at #CogSci2026! Many of the spaces we move through, from kitchens to airports, were designed with specific uses in mind. How do people create such environments, and how do users figure out what they were designed for? 📃 osf.io/preprints/psyarxiv/hd6px_v1
Okay one more thought on moravec's paradox: - we (well, i) always say its harder to build a robot plumber than cider - what if that's not true? What if physical stuff really is easy and we just didn't have the data on hardware to do it?
Chris Paxton
Ant Group trained a robot vision-language-action model on 20,000 hours of robot data.