The parallels between Alex Garland’s Devs and Tom Stoppard’s Arcadia.
Sometimes me think me should just tear bull pictogram down. Can bull pictogram really be worth it? Sure, pictogram help advance caveculture and foster writing system. But what good that stuff if whole cave society is just bunch of brainwashed bull-pictogram-watchers? You know what Aiden say yesterday? When he grow up, he want be bull-pictogram-painter! That not real job! Real job hunter! Or at least gatherer! How many bull-pictogram-painters world need?
I’ve come to accept that our current approach to remedy poor performance largely consists of engineering techniques that stem from the ill effects of our business, product management, and engineering practices. We’re good at applying tourniquets, but not so good at sewing up deep wounds.
It’s becoming increasingly clear that web performance isn’t solely an engineering problem, but a problem of people.
This is quite remarkable. On the surface, it’s a short article about the Y2K bug, but the hypertextual footnotes go deeper and deeper into memory, loss, grief …I’m very moved by the rawness and honesty nested within.
The design history of the New York subway map.
Craig compares and contrasts books to “attention monsters”:
That is, any app / service / publication whose business is predicated on keeping a consumer engaged and re-engaged for the benefit of the organization (often to the detriment of the mental and physical health of the user), dozens if not hundreds or thousands of times a day.
It’s all fun and games until you realise that everything in here was inspired by actual interfaces out there on the web.
Chris makes the very good point that the J in JAMstack isn’t nearly as important as the static hosting part.
This is my maj.
Here’s a clever tiny lesson from Dave and Brad: you can use
prefers-reduced-motion in the
media attribute of the
source element inside
The New York Times is publishing science-fictional op-eds. The first one is from Ted Chiang on the Gene Equality Project forty years in our future:
White supremacist groups have claimed that its failure shows that certain races are incapable of being improved, given that many — although by no means all — of the beneficiaries of the project were people of color. Conspiracy theorists have accused the participating geneticists of malfeasance, claiming that they pursued a secret agenda to withhold genetic enhancements from the lower classes. But these explanations are unnecessary when one realizes the fundamental mistake underlying the Gene Equality Project: Cognitive enhancements are useful only when you live in a society that rewards ability, and the United States isn’t one.
Here he is talking about custom properties in CSS as part of his Making Future Interfaces video series.
It’s not funny, cause it’s true.
Of all the buzzwords in tech, perhaps none has been deployed with as much philosophical conviction as “frictionless.” Over the past decade or so, eliminating “friction” — the name given to any quality that makes a product more difficult or time-consuming to use — has become an obsession of the tech industry, accepted as gospel by many of the world’s largest companies.
A brilliantly written piece by Laurie Penny. Devestating, funny, and sad, featuring journalistic gold like this:
John McAfee has never been convicted of rape and murder, but—crucially—not in the same way that you or I have never been convicted of rape or murder.
This instance of collective action from inside a tech company is important, not just for the specifics of Google, but in acting as an example to workers in other companies.
And of all the demands, this is the one that could have the biggest effect in the US tech world:
An end to Forced Arbitration.
There’s a theory that you can cure this by following standards, except there are more “standards” than there are things computers can actually do, and these standards are all variously improved and maligned by the personal preferences of the people coding them, so no collection of code has ever made it into the real world without doing a few dozen identical things a few dozen not even remotely similar ways. The first few weeks of any job are just figuring out how a program works even if you’re familiar with every single language, framework, and standard that’s involved, because standards are unicorns.
It’ll never catch on.