progress
You can get anywhere from anywhere
You need to make the step forward
To do something well you have to like it
If you can't beat the classics
The Evolution of Useful Things
The Structure of Scientific Revolutions
The Usefulness of Useless Knowledge
The illustrated guide to a Ph.D.
Stepping stones in possibility space
An Article by Gordon BranderIf we try to cross this lake by following only the stepping stones that lead toward our objective, we’ll soon get stuck. But what if we let go of our objectives? What if we focused on trying to find new stepping stones instead? This is novelty search. Instead of looking for something specific, you look for something new.
Novelty search isn’t just random, it’s chance plus memory. Together, these ingredients do something interesting.
...Stepping stones are also combinatorial. Each new stepping stone we discover expands our potential to find even more stepping stones. Collecting stepping stones is a luck maximization algorithm. By collecting and combining stepping stones, we might arrive at our destination by accident, or somewhere more interesting!
Stepping out of the firehose
An Article by Benedict EvansIn 1800, if you’d said that you wanted something ‘made by hand’, that would be meaningless - everything was handmade. But half a century later, it could be a reaction against the age of the machine - of steam and coal-smoke and ‘dark satanic mills.’ The Arts and Crafts movement proposed slow, hand-made, imperfect craft in reaction to mass-produced ‘perfection’ (and a lot of other things besides). A century later this is one reason I’m fascinated by the new luxury goods platforms LVMH and Kering, or indeed Supreme. How do you mass-manufacture, mass-market and mass-retail things whose entire nature is supposedly that they’re individual?
...we keep building tools, but also we let go. That’s part of the progression - Arts and Crafts was a reaction against what became the machine age, but Bauhaus and futurism embraced it. If the ‘metaverse’ means anything, it reflects that we have all grown up with this now, and we’re looking at ways to absorb it, internalise it and reflect it in our lives and in popular culture - to take ownership of it. When software eats the world, it’s not software anymore.
How do you know when your paintings are finished?
A Quote by Gerhard RichterWhen nothing disturbs me and I have no idea what to do more, what I could add or destroy. This is very surprising, often, when I’m painting, again and again, every day and it feels like it is never-ending […] and it will never become a good painting. And suddenly, it’s finished. Oh! Good. Thanks.
One Tenth of a Second
An Article by Venkatesh RaoThe details are fascinating, but the central argument — that the birth of modernity can be traced to a meta-crisis spawned by the 0.1s problem — is worth understanding and appreciating whether or not you’re a time nerd like me.
There is no convenient leitmotif, comparable to the 0.1s problem, for our contemporary version of the rhyming conditions, but something very similar to the “tenth of a second crisis” is going on today. I suspect our Great Weirding too involves some sort of limiting factor on human cognition that we haven’t yet properly wrapped our minds around. It isn’t reaction time, but something analogous.
Become a person who actually does things
An Article by Neel NandaIf there’s one thing you take from this post, let it be this: notice the next time you agonize over a choice, or pass up an opportunity. And ask yourself not “what is the right decision” but rather “which decision will get me closer to the kind of person I want to be”.
Four stages of competence
An IdeaIn psychology, the four stages of competence, or the "conscious competence" learning model, relates to the psychological states involved in the process of progressing from incompetence to competence in a skill.
- Unconscious incompetence
- Conscious incompetence
- Conscious competence
- Unconscious competence
Life-friendly design
An Article by Ralph AmmerI suggest that our industrial heritage has been an important preliminary stage. The next step is to carefully examine and implement design values that nurture our joy of life. Just like our “industrial design” illustrated our industrial values, a life-friendly design could express our biophilic values.
This optimistic design approach differs from naive nostalgia or fear of extinction. There is no way back to nature but only forward to nature.
The Right Tools for the Job
Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to
build better tools.
A representational tension
Do I need to know the precise polygonal geometries of Los Angeles and the University of Southern California to assert that the latter is within the former? No. My mind contains no such precise geometric model of points and lines, yet I know that USC is in Los Angeles. When humans reason with the real world, they focus on its objects, relations, and processes—rather than starting with geometry—because these are the keys to understanding and explaining the real world. Our GIS tools, however, usually do the opposite. Built from the geometry-up around the legacy logic of traditional cartography (geometries and layers), most GIS tools today are restricted by that legacy’s limited ability to model objects, relations, and processes. A representational tension thus exists in GIScience between being a geometric information science versus an ontological, relational, and processual information science.
The teleology of tool-building
The teleology of tool-building suggests that the real value lies in the end use of the tool, rather than in its origins
Urban form and grain
One square mile of different cities' street networks, held at the same scale to compare the urban form and grain.
Software often feels inevitable
Software often feels inevitable because its backstory is often invisible. We click a download link, run an installer, and suddenly have a new tool to use. Yet this conceals years of human decisions, experiences, and constraints shaping software outcomes that are in no way pre-destined.