Scales of cities, scales of software An Article by Linus the Sephist linus.coffee American cities seem like a product of industrial processes where older European cities seem like a product of human processes. This is because most American cities were built after and alongside the car and the industrial revolution – the design of cities took into account what was easily possible, and that guided the shape and scale of everything. Software has similar analogues. There are software codebases that feel much more industrially generated than hand written, and they’re usually written in automation-rich environments fitting into frameworks and other orchestrating code. …But despite the availability of cars, I still much prefer the scale and ambiance of European, human-scale cities, because ultimately cities are places humans must inhabit and understand. In the same way, I still much prefer the scale and ambiance of hand-written codebases even in the presence of heavy programming tooling, because ultimately codebases are places humans must inhabit. urbanismsoftwarescaleindustry
evermore, and other beautiful things An Article by Linus the Sephist linus.coffee If all evidence of civilization on Earth was destroyed, and humans had to re-build society from the ground up, what would be different? Feynman reckons that pivotal scientific moments, like the discovery of the atom, will still happen in the same way. Perhaps mathematics will be similarly rediscovered. Someone told me once in response to this question, no artwork would ever be recreated. The art we create – music, stories, dance, film – isn’t a fundamental element of the universe, or even of humanity. It’s unique to each artist. If you choose to create art, you leave something in the world that has never had a chance to exist before, and will never again have a chance to exist. There will never be another Beatles or Studio Ghibli or Picasso. Art, in its infinite variations of originality, is cosmically unique in a way the sciences will never be. Art immortalizes human experiences that would otherwise vanish in time. artsciencehumanitysociety
Thinking in terms of outputs In our use of digital and analogue filing tools, we classify information through folders. An article about railway construction gets filed under ‘infrastructure’ or ‘transport’. In Evernote we tag it with ‘rail’ or ‘construction’. This is thinking like a librarian and not like a writer. We are classifying the information as an input. The reason you take notes as a writer is to produce content. It makes sense, then, to take notes in line with this goal. Traditional filing like this tends to fail when you attempt to write your content. You are stuck trying to figure out which categories will be relevant for your proposal, paper or blog post. Interesting writing often comes from connecting separate fields through a common idea. By revealing the common denominator. By unifying two seemingly-contradictory ideas. How can you possibly achieve this if you’re looking in the same category for your information? The categories simply do not fulfil the function required by the writer. The notes you take and indeed, the way you process information, should be with a specific project or idea in mind. You must classify information in terms of its outputs. When you take notes on a book, think about how this could apply to a specific idea you had or how it argues against a paper you read last week. The premise is that you should be organising by context and always trying to connect the dots between the content you're consuming. Will Darwin, How to Think About Notes www.willdarwin.com How to be a genius notetakinginformationwriting